Cited by 378Computational Drug Discovery MethodsBioinformatics and Genomic NetworksScience, Research, and Medicine

Unexplored therapeutic opportunities in the human genome

Open access
Oprea, Tudor I., Bologa, Cristian G., Brunak, Søren, Campbell, Allen, Gan, Gregory N., Gaulton, Anna, Gomez, Shawn M., Guha, Rajarshi +33 more·2018·Nature Reviews Drug Discovery

Abstract

In 2014, the Illuminating the Druggable Genome programme was launched to promote the exploration of currently understudied but potentially druggable proteins. This article discusses how the systematic collection and processing of a wide array of biological and chemical data as part of this programme has enabled the development of evidence-based criteria for tracking the target development level of human proteins, which indicates a substantial knowledge deficit for approximately one out of three proteins in the human proteome. It also highlights the nature of the unexplored therapeutic opportunities for major protein families. A large proportion of biomedical research and the development of therapeutics is focused on a small fraction of the human genome. In a strategic effort to map the knowledge gaps around proteins encoded by the human genome and to promote the exploration of currently understudied, but potentially druggable, proteins, the US National Institutes of Health launched the Illuminating the Druggable Genome (IDG) initiative in 2014. In this article, we discuss how the systematic collection and processing of a wide array of genomic, proteomic, chemical and disease-related resource data by the IDG Knowledge Management Center have enabled the development of evidence-based criteria for tracking the target development level (TDL) of human proteins, which indicates a substantial knowledge deficit for approximately one out of three proteins in the human proteome. We then present spotlights on the TDL categories as well as key drug target classes, including G protein-coupled receptors, protein kinases and ion channels, which illustrate the nature of the unexplored opportunities for biomedical research and therapeutic development.

Integrity signals

Registry

Crossref · 10.1038/nrd.2018.14

Cites

104 of 104 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

48 of 67 cited sources checked · 30 supported · 0 flagged · accuracy not yet measured

  • Premisecitation

    A large share of biomedical research and therapeutic development concentrates on a small portion of the human genome.

    “A large proportion of biomedical research and the development of therapeutics is focused on a small fraction of the human genome.”
    • Also stated in: § Abstract · plain
      “tendency to focus on a small subset of well-known genes2”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [2] Edwards, A. M. et al. Too many roads not taken. Nature 470, 163–165 (2011). source
  • Findingcitation

    Tclin currently consists of about 600 protein targets.

    “Tclin currently consists of ~600 protein targets9”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [9] Santos, R. et al. A comprehensive map of molecular drug targets. Nat. Rev. Drug Discov. 16, 19–34 (2017). source

      The Concluding thoughts and future work section identifies Tclin as a subset of the merged drug-efficacy-target data, and Drugs, targets and therapeutic areas reports 667 unique human protein efficacy targets in the merged data. Our copy does not give a count for the Tclin subset, so it does not establish that Tclin itself contains about 600 protein targets; no page numbers are available in the supplied passages. (LLM, conf=0.82)

      Experimental — accuracy not yet measured
  • Interpretationcitation

    Some proteins within a family lack binding sites that are compatible with drugs or can bind ligands.

    “not all members of a protein family have drug-compatible or ligandable21 binding sites”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [21] Surade, S. & Blundell, T. L. Structural biology and drug discovery of difficult targets: the limits of ligandability. Chem. Biol. 19, 42–50 (2012). source
  • Findingown data

    The bias toward well-described proteins is confirmed across publications, patents, NIH funding, GWAS, mouse phenotype data, molecular probes, and STRING queries.

    “The bias towards well-described proteins2 is confirmed not only with respect to publications but also with respect to patents, NIH funding patterns, GWAS and mouse phenotype data (data not shown), availability of molecular probes such as antibodies and small molecules, and even queries in the STRING18database”
    Quote in the paperSubstantial claim2 of 2 sources checked
    • cites [2] Edwards, A. M. et al. Too many roads not taken. Nature 470, 163–165 (2011). source

      “Too many roads not taken” (page not supplied) documents a persistent publication bias toward a small group of proteins, and “biased approach” says antibodies and small molecules are available for only a handful of well-studied proteins. The paper discusses GWAS links and a knockout phenotype, but does not establish the claimed bias across GWAS or mouse phenotype data. Our copy also does not report the claimed patterns in patents, NIH funding, or STRING queries. (LLM, conf=0.87)

      Experimental — accuracy not yet measured
    • cites [18] Szklarczyk, D. et al. STRING v10: protein-protein interaction networks, integrated over the tree of life. Nucleic Acids Res. 43, D447–D452 (2015). source
  • Findingcitation

    Only 9 of the 953 genes with neuro-related IMPC phenotypes lack confirmed expression in any of the 34 neuro-related tissues tracked by IDG KMC.

    “Because only 9 of the 953 genes lack confirmed expression in any of the 34 neuro-related tissues tracked by IDG KMC (for example, GTEx40,41, HPA42 and HPM43), these data suggest that the remaining 80% of this set have the potential to be associated with human neurobehavioural phenotypes, paving the way for new research avenues in this direction (see Supplementary Table S8).”
    Quote in the paperSubstantial claim3 of 4 sources checked
    • cites [40] GTEx Consortium. The Genotype-Tissue Expression (GTEx) project. Nat. Genet. 45, 580–585 (2013). source
    • cites [41] GTEx Consortium et al. Genetic effects on gene expression across human tissues. Nature 550, 204–213 (2017). source
    • cites [42] Uhlén, M. et al. Proteomics. Tissue-based map of the human proteome. Science 347, 1260419 (2015). source
    • cites [43] Kim, M.-S. et al. A draft map of the human proteome. Nature 509, 575–581 (2014). source
  • Classified as probably not a substantial claim. 36
  • May combine two claims. 39
  • The quote only partly states this claim. 1
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    IMPC analysis of 1,751 unique gene knockouts found human disease genes enriched for essential genes.

    “Their recent analysis of 1,751 unique gene knockouts found that human disease genes are enriched for essential genes38”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [38] Dickinson, M. E. et al. High-throughput discovery of novel developmental phenotypes. Nature 537, 508–514 (2016). source
  • May combine two claims.

    Findingcitation

    52 non-olfactory GPCRs are categorized as Tdark, and new screening platforms have begun the process of illuminating them.

    “Although 52 non-olfactory GPCRs are categorized as Tdark, the availability of new screening platforms to discover chemical matter for these GPCRs has begun the process of illumination64,67,68.”
    Quote in the paperSubstantial claim3 of 3 sources checked
    • cites [64] Huang, X.-P. et al. Allosteric ligands for the pharmacologically dark receptors GPR68 and GPR65. Nature 527, 477–483 (2015). source
      Experimental — accuracy not yet measured
    • cites [67] Kroeze, W. K. et al. PRESTO-Tango as an open-source resource for interrogation of the druggable human GPCRome. Nat. Struct. Mol. Biol. 22, 362–369 (2015). source

      The Results and Discussion describe PRESTO-TANGO screening of poorly annotated and orphan GPCRs and the discovery of new ligand–receptor interactions, supporting the claim that a screening platform has begun to illuminate understudied receptors. The paper does not give a count of 52 non-olfactory GPCRs or classify them as Tdark; its Abstract instead discusses more than 100 orphan GPCRs. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
    • cites [68] Lansu, K. et al. In silico design of novel probes for the atypical opioid receptor MRGPRX2. Nat. Chem. Biol. 13, 529–536 (2017). source

      The Abstract describes new physical and computational screening approaches for finding ligands for understudied GPCRs, and the Results report their use to identify compounds active at MRGPRX receptors. That supports the claim that screening platforms have begun to illuminate these receptors. The paper does not give the figure of 52 non-olfactory GPCRs or categorize that group as Tdark; its Abstract instead discusses approximately 120 orphan or understudied non-olfactory GPCRs. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • May combine two claims.

    Findingcitation

    Nearly 59% of these GPCR disease associations stem from text mining, and 48 GPCRs have confirmed associations from at least two information channels.

    “Whereas the majority of these associations (nearly 59%) stem from text mining69, 48 GPCRs have confirmed associations from at least two information channels.”
    Quote in the paperNot a substantial claim1 of 1 sources checked
    • cites [69] Pafilis, E. et al. The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text. PLoS ONE 8, e65390 (2013). source

      The Introduction and the ORGANISMS web resource section describe text mining for organism names, not GPCR–disease associations. Searches for GPCRs, disease associations, 59%, and information channels found no passage supporting the cited percentage. The citation is attached to the 59% text-mining statement, not the separate count of 48 GPCRs. (LLM, conf=0.77)

      Experimental — accuracy not yet measured
    • Rests on an assumption: Text-mined disease associations are valid enough to count as confirmed human disease associations.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Alterations in GPCR signalling are implicated in the pathogenesis and treatment of many disorders, including neuropsychiatric, immunological, gastrointestinal, cardiac, renal, hormonal and infectious disorders.

    “Alterations in GPCR signalling are implicated in the pathogenesis and treatment of neuropsychiatric55, immunological56, gastrointestinal57,58, cardiac59, renal, hormonal, infectious60 and many other disorders53,54.”
    Quote in the paperNot a substantial claim2 of 4 sources checked
    • cites [53] Wacker, D., Stevens, R. C. & Roth, B. L. How ligands illuminate GPCR molecular pharmacology. Cell 170, 414–427 (2017). source
    • cites [54] Roth, B. L., Irwin, J. J. & Shoichet, B. K. Discovery of new GPCR ligands to illuminate new biology. Nat. Chem. Biol. 13, 1143–1151 (2017). source

      The Abstract (page unavailable) describes GPCRs as frequent therapeutic targets, and the sections on maraviroc/CCR5 and biased agonists discuss HIV, psychiatric disorders and heart failure. The passages do not establish the full list of disorder categories—particularly gastrointestinal, renal and hormonal disorders—or the broad claim about their pathogenesis. (LLM, conf=0.84)

      Experimental — accuracy not yet measured
    • cites [55] Roth, B. L., Sheffler, D. J. & Kroeze, W. K. Magic shotguns versus magic bullets: selectively non-selective drugs for mood disorders and schizophrenia. Nat. Rev. Drug Discov. 3, 353–359 (2004). source
    • cites [56] Hernandez, P. A. et al. Mutations in the chemokine receptor gene CXCR4 are associated with WHIM syndrome, a combined immunodeficiency disease. Nat. Genet. 34, 70–74 (2003). source
  • Classified as probably not a substantial claim.

    Study design and conductcitation

    Tclin assignment relied on exhaustive manual searches of primary literature and drug labels to identify mechanism-of-action links.

    “Classification into this TDL category was achieved through exhaustive manual querying of primary literature and drug labels for MoA assignments with respect to molecular (protein) targets9”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [9] Santos, R. et al. A comprehensive map of molecular drug targets. Nat. Rev. Drug Discov. 16, 19–34 (2017). source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    GPCRs are membrane-bound cell-surface receptors that transduce signals via heterotrimeric G proteins, arrestins and other cellular transducers.

    “GPCRs are membrane-bound, cell-surface receptors that transduce signals via interactions with heterotrimeric G proteins, arrestins and other cellular transducers53,54.”
    Quote in the paperNot a substantial claim2 of 2 sources checked
    • cites [53] Wacker, D., Stevens, R. C. & Roth, B. L. How ligands illuminate GPCR molecular pharmacology. Cell 170, 414–427 (2017). source
    • cites [54] Roth, B. L., Irwin, J. J. & Shoichet, B. K. Discovery of new GPCR ligands to illuminate new biology. Nat. Chem. Biol. 13, 1143–1151 (2017). source
  • May combine two claims.

    Premisecitation

    GPCRs are the largest family of druggable targets in the human genome, with 20-30% of approved drugs acting on them.

    “GPCRs represent the largest family of druggable targets in the human genome9, with between 20% and 30% of approved drugs acting on them53,54.”
    Quote in the paperNot a substantial claim3 of 3 sources checked
    • cites [9] Santos, R. et al. A comprehensive map of molecular drug targets. Nat. Rev. Drug Discov. 16, 19–34 (2017). source

      In the citing sentence, this source is cited for the drug-percentage claim, not the preceding ‘largest family’ claim. The Drugs, targets and therapeutic areas section reports that rhodopsin-like GPCRs account for the therapeutic effect of 33% of approved small-molecule drugs, rather than 20–30% of approved drugs generally. Our copy provides no page number for the passage. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
    • cites [53] Wacker, D., Stevens, R. C. & Roth, B. L. How ligands illuminate GPCR molecular pharmacology. Cell 170, 414–427 (2017). source
    • cites [54] Roth, B. L., Irwin, J. J. & Shoichet, B. K. Discovery of new GPCR ligands to illuminate new biology. Nat. Chem. Biol. 13, 1143–1151 (2017). source
  • May combine two claims.

    Premisecitation

    In-depth analysis found that ketamine's active metabolite HNK does not block the NMDA receptor, instead displays sustained AMPA receptor activation and lacks ketamine-related side effects.

    “However, in-depth analysis of the antidepressant effects of ketamine found that its active metabolite (2R,6R)-hydroxynorketamine (HNK) does not block the NMDA receptor. Instead, HNK displays sustained activation of α-amino-3hydroxy-5-methyl-4-isoxazole propionic acid (AMPA) receptors and lacks ketamine-related side effects81.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [81] Zanos, P. et al. NMDAR inhibition-independent antidepressant actions of ketamine metabolites. Nature 533, 481–486 (2016). source
      Experimental — accuracy not yet measured
  • May combine two claims.

    Premisecitation

    Pretreatment biopsies matched to post-treatment surgical specimens showed overall concordance of transcriptional kinase response to trametinib, with FRK highest mean increase and cytoplasmic BMX highest mean decrease.

    “Pretreatment biopsies matched to post-treatment surgical specimens showed overall concordance of the transcriptional kinase response to trametinib, with FRK (Tchem) exhibiting the highest mean increase and cytoplasmic BMX (also Tchem) exhibiting the highest mean decrease among patients in response to a 7-day drug treatment.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [75] Zawistowski, J. S. et al. Enhancer remodeling during adaptive bypass to MEK inhibition is attenuated by pharmacologic targeting of the P-TEFb complex. Cancer Discov. 7, 302–321 (2017). source

      The Results section, “MEK inhibition induces a transcriptomic/kinome response in patient TNBC tumors” (page unavailable), reports concordant transcriptional responses in four matched basal-like tumors, with FRK showing the highest mean increase and BMX the highest mean decrease after seven days of trametinib. It does not describe BMX as cytoplasmic or label FRK and BMX “Tchem”; it also limits the concordance finding to patients 1, 2, 3, and 5, rather than all patients. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Ketamine has been postulated to act as a noncompetitive NMDA antagonist and has been used off-label as an antidepressant.

    “For example, the anaesthetic ketamine, which has been postulated to act as a noncompetitive N-methyl-d-aspartate (NMDA) antagonist79, has been used off-label as an antidepressant80.”
    Quote in the paperNot a substantial claim1 of 2 sources checked
    • cites [79] Berman, R. M. et al. Antidepressant effects of ketamine in depressed patients. Biol. Psychiatry 47, 351–354 (2000). source
    • cites [80] Kirby, T. Ketamine for depression: the highs and lows. Lancet Psychiatry 2, 783–784 (2015). source
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    The paper suspects that artificial divisions are another reason funding to study Tdark proteins is scarce.

    “We suspect this to be another reason why funding to study Tdark proteins is scarce: for functionally enigmatic proteins, or the ‘ignorome’ (REF. 85), anticipating which organ, disease or phenotype is relevant may be far from trivial.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [85] Pandey, A. K., Lu, L., Wang, X., Homayouni, R. & Williams, R. W. Functionally enigmatic genes: a case study of the brain ignorome. PLoS ONE 9, e88889 (2014). source
  • Classified as probably not a substantial claim.

    Findingnone given

    Despite attempts to overcome this problem, the paper is not aware of an unbiased, easy mechanism to capture negative results.

    “Although there are attempts to overcome this problem86, we are not aware of the existence of an unbiased, easy mechanism to capture negative results.”
    Quote in the paperSubstantial claim1 of 1 sources checked
    • cites [86] Pfeffer, C. & Olsen, B. R. Editorial: Journal of negative results in biomedicine. J. Negat. Results Biomed. 1, 2 (2002). source
  • May combine two claims.

    Findingown data

    Tdark proteins tend not to be studied by many funded NIH R01 grants and are significantly less discussed in patents than proteins in other TDLs.

    “Tdark proteins tend not to be the object of study for many funded NIH R01 grants and are significantly less discussed in patents compared with proteins in other TDLs.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Most kinase-targeting clinical candidates are aimed at oncology, whereas GPCR- and ion channel-targeting clinical candidates are aimed at central nervous system disorders.

    “most of the kinase-targeting clinical candidates are aimed at oncology applications, whereas GPCRs and ion channel-targeting clinical candidates are aimed at central nervous system disorders”
    Quote in the paperNot a substantial claim
  • The quote only partly states this claim.

    Findingreasoning

    Many proteins that bind approved drugs with high affinity remain in Tchem because Tclin requires MoA evidence.

    “many proteins known to interact with approved drugs, even with high affinity, remain in the Tchem category”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Among Tclin targets, 259 (79.7%) are single proteins, 39 (12%) are complex multiprotein targets, and 25 (8.3%) are multiple proteins for non-selective drugs.

    “The majority (259 or 79.7%) of these targets are single proteins, whereas 39 (12%) are complex multiprotein targets. Only 25 targets (8.3%) are comprised of multiple proteins for non-selective drugs”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Most targeted Tchem proteins are kinases (93 unique enzymes), followed by GPCRs (31 unique receptors) and ion channels (13), with seven targets from other families.

    “Most targeted proteins are kinases (93 unique enzymes), followed by GPCRs (31 unique receptors) and ion channels (13), with seven targets from other families”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingnone given

    827 GPCRs, including 421 olfactory GPCRs, are tracked by IDG KMC; 96 are Tclin and 113 are Tchem, none olfactory.

    “Currently 827 GPCRs — including 421 olfactory GPCRs — are tracked by IDG KMC; of these, 96 are Tclin and 113 are Tchem (none of which are olfactory).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Tbio-disease associations are rare for druggable families such as nuclear receptors, ion channels and GPCRs, which are more likely to be Tclin or Tchem.

    “It appears that Tbio-disease associations are quite rare for druggable families such as nuclear receptors, ion channels and GPCRs, as these families are more likely to be in the Tclin or Tchem category.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Based on DrugCentral, the paper found 50 approved kinase inhibitors, including 40 small-molecule protein kinase inhibitors, of which 32 are FDA-approved, one FDA-approved protein kinase activator ingenol mebutate, and FDA-approved PIK3CD inhibitor idelalisib.

    “Based on DrugCentral, we found 50 approved kinase inhibitors, including 40 small-molecule protein kinase inhibitors, of which 32 are FDA-approved, one FDA-approved protein kinase activator (ingenol mebutate) and the phosphoinositide 3-kinase subunit-δ (PIK3CD) small-molecule inhibitor idelalisib, which is also FDA-approved.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: DrugCentral annotations accurately reflect drug-target interactions.
  • May combine two claims.

    Findingown data

    Of 62 GPCRs with significant IMPC phenotype calls, 24 are Tbio and 7 Tdark; 15 are associated with neurological and behavioural phenotypes.

    “Of 62 GPCRs for which significant phenotype calls have been reported by IMPC (Supplementary Table S8), 24 are Tbio and 7 are Tdark; of these, 15 are associated with neurological and behavioural phenotypes.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Of 447 genes with significant fold changes in GSE26835, only 26 are Tclin and 61 Tchem, while the majority (268 Tbio, 92 Tdark) are understudied.

    “Of the 447 genes with significant fold changes in the GSE26835 set, only 26 are Tclin and 61 are Tchem, whereas the majority (268 Tbio, 92 Tdark) are understudied (see also Supplementary Box S5).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingnone given

    Alpk3, a Tdark kinase, when knocked out, raises embryonic and perinatal death rates; adults that survive show serious heart abnormalities.

    “knockouts of the Tdark kinase gene Alpk3 have increased embryonic and perinatal lethality, with the surviving adults displaying severe heart defects”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Five of the six highlighted targets are modulated by at least one approved drug, placing them in Tclin.

    “Five of these six targets are modulated by at least one approved drug, which places them in the Tclin category.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The same distribution patterns across TDL categories appear in every data type and show statistically significant differences.

    “Distribution trends within TDL categories are consistently reproduced across all data types in FIG. 2a and have statistically significant differences (Supplementary Table S4).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    As of November 2017, IDG-coordinated IMPC production produced 568 new knockout strains: 166 GPCRs, 141 ion channels, 238 kinases, and 23 nuclear receptors.

    “As of November 2017, 568 new knockout strains had been produced: 166 GPCRs, 141 ion channels, 238 kinases and 23 nuclear receptors”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    IDG submitted 482 Tbio genes; 184 mouse lines were generated, and 145 had observed phenotypes.

    “Of 482 Tbio genes submitted by IDG (135 GPCRs, 133 ion channels, 200 kinases and 14 nuclear receptors), 184 mouse lines were produced, with 145 phenotypes observed.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingnone given

    Adgrd1, a Tbio GPCR, when knocked out, causes reproductive problems including female infertility and skeletal abnormalities including lower bone mineral density.

    “knockouts of the Tbio GPCR gene Adgrd1 display reproductive defects, such as female infertility, and skeleton phenotype defects, such as decreased bone mineral density”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Including olfactory GPCRs, 618 proteins are Tdark or Tbio; 126 non-olfactory and 51 olfactory GPCRs have significant human disease associations via OMIM, GWAS and text mining.

    “Including olfactory GPCRs, 618 proteins are classified as Tdark or Tbio; of these, 126 non-olfactory GPCRs and 51 olfactory GPCRs have significant associations with human diseases via OMIM, GWAS and text mining.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Text-mined disease associations are valid enough to count as confirmed human disease associations.
  • May combine two claims.

    Findingnone given

    IDG submitted 119 Tdark genes to IMPC; 45 mouse lines resulted, and 41 had observed phenotypes.

    “Of the 119 Tdark genes (51 GPCRs, 36 ion channels and 32 kinases) submitted by IDG to IMPC, 45 mouse lines were produced, with 41 phenotypes observed.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    For 80% of the strains, phenotype information exists, and abnormalities appear across many biological systems.

    “Phenotype data are available for 80% of these strains, with abnormalities detected in numerous biological systems, including those related to development, immune function, metabolism and behaviour.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingnone given

    355 ion channel pore-forming and auxiliary subunits are tracked by IDG KMC.

    “Currently, 355 ion channel pore-forming and auxiliary subunits are tracked by IDG KMC (TABLE 1; Supplementary Table S3).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based). May combine two claims.

    Findingnone given

    Unlike GPCRs or kinases, neither ion channel pore-forming subunits nor auxiliary subunits share characteristic motifs.

    “Unlike GPCRs or kinases, neither pore-forming subunits nor auxiliary subunits share characteristic motifs.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Findingown data

    TABLE 5 shows ten Tbio or Tdark kinases amplified in TCGA and their RNA expression in TNBC cells.

    “TABLE 5 shows ten Tbio or Tdark kinases whose amplification is observed in the TCGA database, together with their RNA expression in triple-negative breast cancer (TNBC) cells.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingnone given

    About 100 ion channel modulators including auxiliary subunits are reported, but no systematic list of cell type-specific auxiliary subunits for all ion channels is available.

    “About 100 ion channel modulators, including auxiliary subunits, are reported, but to our knowledge, a systematic list of cell type-specific auxiliary subunits for all ion channels is not available.”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Findingnone given

    LRRC8B, LRRC8C and LRRC8D are Tdark, LRRC8A is Tbio; ORAI1 is Tchem, ORAI2 and ORAI3 are Tbio; except anoctamin 1 (Tclin), all other anoctamins are Tbio.

    “Currently, LRRC8B, LRRC8C and LRRC8D subunits are classified as Tdark, with the exception being the subunit LRRC8A (Tbio); ORAI1 is annotated as Tchem, wheras the ORAI2 and ORAI3 proteins are annotated as Tbio. With the exception of anoctamin 1 (Tclin), all other anoctamins are labelled Tbio.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Findingnone given

    No scalable systems are currently available to study localization of functional ion channel complexes.

    “Currently, there are no scalable systems available to study the localization of functional complexes.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingnone given

    Understudied Tbio and Tdark kinases share characteristics including poorly defined integration in signalling networks, poorly defined function and regulation, lack of antibodies, and lack of selective chemical tools.

    “Some of the characteristics shared by understudied Tbio and Tdark kinases include poorly defined integration of the kinase in signalling networks, poorly defined function and regulation, lack of activation-loop phospho-antibodies or immunohistochemistry-grade antibodies, and lack of selective chemical tools for functional characterization.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingnone given

    Seven additional FDA-approved antibodies target HER2, EGFR, VEGFR2 and PDGFRα, and an FDA-approved HER2-targeting antibody-drug conjugate trastuzumab emtansine exists.

    “An additional seven FDA-approved antibodies target the receptor tyrosine kinases human epidermal growth factor receptor 2 (HER2; also known as ERBB2), epidermal growth factor receptor (EGFR), vascular endothelial growth factor receptor 2 (VEGFR2) and platelet-derived growth factor receptor-α (PDGFRα), and there is also an FDA-approved HER2-targeting antibody-drug conjugate, trastuzumab emtansine (”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingnone given

    As of March 2017, mouse lines for 4,165 human genes have been produced with phenotypes available, and 2,788 have statistically significant phenotype calls.

    “As of March 2017, mouse lines corresponding to 4,165 human genes have been produced, with phenotypes available, 2,788 of which have resulted in statistically significant phenotype calls.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingnone given

    IMPC has targeted 238 kinases with 114 knockouts having significant phenotype; 22 are of current interest for phase 2 IDG.

    “Currently, the IMPC has targeted 238 kinases with 114 knockouts having a significant phenotype; of the latter, 22 are of current interest for phase 2 of the IDG programme.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Findingnone given

    These questions have yet to find a computer-driven, reliable answer.

    “These, and other similar questions, have yet to find a computer-driven, reliable answer.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingcitation

    According to DrugCentral, sorafenib inhibits 114 kinases with only 9 MoA-related targets, while sunitinib inhibits 263 kinases with 9 MoA-related targets.

    “According to data in DrugCentral, sorafenib inhibits 114 kinases, of which only 9 are associated MoArelated targets, whereas sunitinib inhibits 263 kinases, of which 9 are MoA-related targets.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: DrugCentral annotations accurately reflect drug-target interactions.
  • May combine two claims.

    Premisenone given

    The NIH launched the IDG initiative in 2014 to map knowledge gaps around proteins and promote understudied druggable proteins.

    “the US National Institutes of Health launched the Illuminating the Druggable Genome (IDG) initiative in 2014”
    • Also stated in: § Illuminating the Druggable Genome. · plain
      “the US National Institutes of Health (NIH) launched the Illuminating the Druggable Genome (IDG) initiative in 2014”
    Quote in the paperSubstantial claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    The Tchem cut-offs were set so that roughly 90% of activity values for drugs with a confirmed mechanism against a target in that family would be included.

    “we required the bio-activity of at least one small molecule to be above a specific cut-off chosen to include about 90% of the bioactivity values of drugs with a confirmed MoA for a target from that protein family”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    TDL assignments except Tclin were performed without human curation.

    “Except for Tclin, TDL assignments were performed without human curation.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductown data

    The first three data types were used to assign TDL for Tbio and Tdark, while the other four provide independent validation of the criteria.

    “Whereas the first three data types were used to assign the TDL category for proteins in the Tbio and Tdark categories, the other four data types — derived from separate text corpora and repositories — provide independent validation of our criteria for categorization overall.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Interpretationreasoning

    Lack of tools leads to lack of interest, and lack of interest reduces the probability that such tools will be developed.

    “Lack of tools leads to lack of interest, and lack of interest diminishes the probability of such tools being developed.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductreasoning

    For every Tchem target, selectivity was not incorporated into the assignment.

    “Selectivity, though important both in vivo and in vitro, could not be factored in for all Tchem targets”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Valvular heart disease is associated with anorectic agents such as fenfluramine and antimigraine medications such as ergotamine via serotonin 5-HT2B receptor agonism.

    “For example, valvular heart disease is associated with anorectic agents, such as fenfluramine, and antimigraine medications, such as ergot-amine, via serotonin 5-HT2B receptor agonism66.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [66] Roth, B. L. Drugs and valvular heart disease. N. Engl. J. Med. 356, 6–9 (2007). source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Wu and colleagues found 38 small-molecule protein kinase inhibitors.

    “Wu and colleagues74 found 38 small-molecule protein kinase inhibitors.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [74] Wu, P., Nielsen, T. E. & Clausen, M. H. Small-molecule kinase inhibitors: an analysis of FDA-approved drugs. Drug Discov. Today 21, 5–10 (2016). source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisereasoning

    Off-target actions within the GPCR class can be associated with severe and life-threatening side effects.

    “As with other druggable target classes, off-target actions within the GPCR class can be associated with severe and lifethreatening side effects.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The association between schizophrenia and Fzd3 mutants remains controversial.

    “For example, Adgrb2-mutant mice (Tbio) showed significant antidepressant-like behaviour compared with wild-type mice70, whereas the association71 between schizophrenia and Fzd3 mutants (T) remains controversial72,73.”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [71] Katsu, T. et al. The human frizzled-3 (FZD3) gene on chromosome 8p21, a receptor gene for Wnt ligands, is associated with the susceptibility to schizophrenia. Neurosci. Lett. 353, 53–56 (2003). source
    • cites [72] Wei, J. & Hemmings, G. P. Lack of a genetic association between the frizzled-3 gene and schizophrenia in a British population. Neurosci. Lett. 366, 336–338 (2004). source
    • cites [73] Jeong, S. H., Joo, E. J., Ahn, Y. M., Lee, K. Y. & Kim, Y. S. Investigation of genetic association between human Frizzled homolog 3 gene (FZD3) and schizophrenia: results in a Korean population and evidence from meta-analysis. Psychiatry Res. 143, 1–11 (2006). source
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Several FXR agonists are currently in clinical development.

    “Currently, several FXR agonists are in clinical development52.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [52] Hambruch, E., Kinzel, O. & Kremoser, C. On the pharmacology of farnesoid X receptor agonists: give me an 'A', like in 'acid'. Nucl. Recep. Res. 3, 101207 (2016). source
  • Probably not a substantial claim: may not pass S4 (based).

    Premisenone given

    The ~600-member human kinome is highly druggable using competitive and allosteric small-molecule inhibitors.

    “The ~600-member human kinome (Supplementary Table S3) is made up of protein kinases, in addition to metabolic and lipid kinases, and is highly druggable using both competitive and allosteric small-molecule inhibitors.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Interpretationreasoning

    The paucity of antibodies and small molecules diminishes the ability to subject Tdark proteins to scientific inquiry.

    “Indeed, the paucity of antibodies and small molecules (criteria that help define Tbio and proteins diminishes our ability to subject Tdark proteins to scientific inquiry.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationnone given

    The TDL classification scheme provides a convenient way to partition human targets and highlights focus or lack of science and drug discovery efforts.

    “The TDL classification scheme provides a convenient way to partition human targets that highlights the focus (or lack thereof) of science and drug discovery efforts on different targets.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Premisenone given

    The only other deliberate targeted effort to study Tdark proteins besides IDG is IMPC.

    “As mentioned above, the only other deliberate targeted effort to study Tdark proteins in addition to IDG is the IMPC.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    Through TDL groupings, knowledge accumulation and deficits can be highlighted for target families, with the common theme that much is known but a large fraction of the proteome remains understudied.

    “Through the use of the TDL groupings, we can highlight knowledge accumulation, as well as deficits, for a variety of target families, with a common theme being that while much is known, there remains a large fraction of the proteome that is understudied.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Premisenone given

    Ion channels mediate signalling within cells, between cells, and between cells and their environment.

    “Ion channels mediate signalling within cells, between cells, and between cells and their environment.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    These artificial divisions can prevent scientists from achieving a translational, integrative view of gene and protein function.

    “These artificial divisions can prevent scientists from achieving a translational, integrative view of gene and protein function.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationown data

    IDG KMC enables quantitative demonstration of a knowledge deficit for dark and understudied proteins, underscoring the need for basic science.

    “The IDG KMC enables us to quantitatively demonstrate the existence of a knowledge deficit with respect to dark and understudied proteins, which underscores the need for basic science and its major role in illuminating gene functions and roles in human disease.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    Non-positive facts fit poorly to current publishing and citation paradigms.

    “However, such non-positive facts fit poorly to current publishing and citation paradigms.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    LRRC8 heteromers form volume-regulated anion channels, ORAI proteins assemble to form CRACs, and anoctamins are olfactory calcium-activated chloride channels.

    “For example, leucine-rich repeat-containing protein 8 (LRRC8) heteromers form82 volume-regulated anion channels (VRACs), and ORAI proteins assemble to form83 calcium-releaseactivated calcium channels (CRACs), whereas anoctamins are olfactory calcium-activated chloride channels (CACCs)84.”
    Quote in the paperNot a substantial claim0 of 3 sources checked
    • cites [82] Pedersen, S. F., Klausen, T. K. & Nilius, B. The identification of a volume-regulated anion channel: an amazing Odyssey. Acta Physiol. 213, 868–881 (2015). source
    • cites [83] Niemeyer, B. A. Changing calcium: CRAC channel (STIM and Orai) expression, splicing, and posttranslational modifiers. Am. J. Physiol. Cell Physiol. 310, C701–709 (2016). source
    • cites [84] Dauner, K., Lissmann, J., Jeridi, S., Frings, S. & Möhrlen, F. Expression patterns of anoctamin 1 and anoctamin 2 chloride channels in the mammalian nose. Cell Tissue Res. 347, 327–341 (2012). source
  • Classified as probably not a substantial claim.

    Interpretationnone given

    Confirmed disease associations or receptor deorphanization remain major incentives to allocate resources and further study Tdark proteins.

    “Confirmed associations with a specific disease, or receptor deorphanization (TABLE 4), remain major incentives to allocate resources and further study of Tdark proteins.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Premisenone given

    Most ion channels have paralogues that function redundantly.

    “Moreover, most ion channels have paralogues that function redundantly.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S4 (based).

    Interpretationnone given

    A key challenge for IDG KMC and other drug discovery data analysts is reliable predictions about next experiments, phenotypes and pathways.

    “Finally, a key challenge faced by IDG KMC, and perhaps by other data analysts working in drug discovery, is that of reliable predictions: when examining Tdark proteins in particular, experimentalists would like to know what experiment to do next, what phenotypic changes should be examined first and which pathway is relevant in a specific disease.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based).

    Interpretationnone given

    This distinction breaks down in nature, as the same genes and pathways likely interact regardless of organ, albeit context-specifically.

    “This distinction breaks down in nature, as we are likely to observe the interplay between the same genes and pathways regardless of organ, albeit in a contextspecific manner.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S4 (based). May combine two claims.

    Premisenone given

    Modern medicine often employs artificial distinctions by organ or disease, and these separations carry into research.

    “Modern medicine often employs artificial distinctions in terms of what and how biological systems are studied: segregated by organ (for example, ophthalmology and cardiology) or by disease (for example, oncology and infectious diseases), medical specialty separations carry over into the research arena, both in academia and industry.”
    Quote in the paperNot a substantial claim
69 of 69
  • The paper relies on this without support.

    Mouse phenotype data mapped to human orthologues are informative about human disease and drug target effects.

    “The IDG KMC incorporates gene-centric mouse phenotype data and maps these data to the respective human orthologues.”
    “These IMPC strains provide evidence for biological systems that may be affected when a drug targets a gene with little-known function.”
  • The paper relies on this without support.

    The integrated data sources are complete and accurate enough to quantify knowledge about human proteins.

    “Data-driven drug discovery strategies rely on the integration of proprietary and internal data with third-party resources”
    “data heterogeneity, complexity and incompleteness, as well as contextual information and metadata capture, pose substantial barriers to reliable systematic analyses of all data required to address biomedical research questions”
  • The paper relies on this without support.

    L1000 is a set of 978 landmark genes selected for their ability to predict a large portion of total variability in large microarray experiment sets.

    “L1000 is a set of 978 landmark genes that have been selected for their ability to predict a large portion of the total variability seen in large sets of microarray experiments.”
  • The paper relies on this without support.

    Mouse neurobehavioural phenotypes can indicate potential human neurobehavioural associations.

    “these data suggest that the remaining 80% of this set have the potential to be associated with human neurobehavioural phenotypes”
  • The paper relies on this without support.

    Text-mined disease associations are valid enough to count as confirmed human disease associations.

    “Target Central Resource Database (TCRD) data from the GWAS Catalog39, OMIM11 and text-mined DISEASES13 databases confirmed human disease phenotypes for 191 (20%) of these 953 genes”
  • The paper relies on this without support.

    The TDL categories meaningfully reflect knowledge and druggability status of proteins.

    “The TDL classification scheme provides a convenient way to partition human targets that highlights the focus (or lack thereof) of science and drug discovery efforts on different targets.”
  • The paper relies on this without support.

    DrugCentral annotations accurately reflect drug-target interactions.

    “According to data in DrugCentral, sorafenib inhibits 114 kinases, of which only 9 are associated MoArelated targets, whereas sunitinib inhibits 263 kinases, of which 9 are MoA-related targets.”
7 of 7

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Many poorly characterised proteins are linked to disease, including those that are druggable.

    “This is despite clear evidence from studies of gene expression and genetic variation that many of the poorly characterised proteins are linked to disease, including those that are eminently druggable [6,7].”
  • Biological research largely ignores less well known, but potentially important, genes.

    “that biological research largely ignores less well known, but potentially important, genes [2,4,6,7].”
  • Machine learning is increasingly being explored as target identification technology, often by means of knowledge graphs.

    “Although novel drug targets are typically identified through genomic, proteomic or phenotypic experiments, machine learning is increasingly being explored as target identification technology (52), often by means of knowledge graphs (53).”

    From Artificial Intelligence for Drug Discovery: Are We There Yet? (2024) · cites this paper as [52]

    The Target development levels section discusses data-based target prioritization, and the Conclusions discuss the difficulty of making reliable computer-driven predictions. Neither passage says that machine learning is increasingly being explored for target identification (searched: “machine learning,” “target identification,” and computational prediction). The knowledge-graph clause has a separate citation, so it is not attributed to this source. (LLM, conf=0.72)

    Experimental — accuracy not yet measured
  • Only around 20% of the human proteome is considered druggable with small-molecule antagonists.

    “Only around 20% of the human proteome is considered to be druggable with small-molecule antagonists.”
  • Pharos and TCRD jointly serve as the knowledge hub for over 20 000 human protein targets.

    “Pharos and the Target Central Resource Database (TCRD) are open-access resources developed as a part of the IDG program and jointly serve as the knowledge hub for over 20 000 human protein targets (2,3).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Submitted Tdark ion-channel genes exceed the stated Tdark total

    Minor

    The paper says 36 Tdark ion-channel genes were submitted to IMPC, but elsewhere states that only 31 ion channels are categorized as Tdark. It gives no different classification date that would reconcile the counts.

  • Submitted Tdark kinase genes exceed the stated Tdark total

    Minor

    The 32 Tdark kinase genes reported as submitted to IMPC exceed the paper's stated total of 31 Tdark human kinases. The text does not identify these as counts from different classifications.

2 of 2

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Oprea, T. I., Bologa, C. G., Brunak, S., Campbell, A., Gan, G. N., Gaulton, A., Gomez, S. M., Guha, R., Hersey, A., Holmes, J., Jadhav, A., Jensen, L. J., Johnson, G. L., Karlson, A., Leach, A. R., Ma'ayan, A., Malovannaya, A., Mani, S., Mathias, S. L., McManus, M. T., Meehan, T. F., von Mering, C., Muthas, D., Nguyen, D.-T., Overington, J. P., Papadatos, G., Qin, J., Reich, C., Roth, B. L., Schürer, S. C., Simeonov, A., Sklar, L. A., Southall, N., Tomita, S., Tudose, I., Ursu, O., Vidović, D., Waller, A., Westergaard, D., Yang, J. J., & Zahoránszky-Köhalmi, G.
Affiliations
  • University of Copenhagen (DK)
  • University of New Mexico (US)
  • IQVIA (United States) (US)
  • UNM Comprehensive Cancer Center (US)
  • European Bioinformatics Institute (GB)
  • University of North Carolina at Chapel Hill (US)
  • National Institutes of Health (US)
  • Baylor College of Medicine (US)
  • University of California, San Francisco (US)
  • AstraZeneca (Sweden) (SE)
  • University of Miami (US)
  • Yale University (US)
Corresponding author
Oprea, Tudor I.
Venue
Nature Reviews Drug Discovery
Published
2018-03-23
Volume
17
Issue
5
Pages
317-332
ISSN
  • 1474-1776 (ISSN-L)
  • 1474-1784
OpenAlex
W4294576509
Cited by
378
References
103
Citations by year
2026: 34 · 2025: 36 · 2024: 48 · 2023: 57 · 2022: 44 · 2021: 60 · 2020: 46 · 2019: 37 · 2018: 16
FWCI
3.12
Type
journal article
Language
en
Update notices
erratum (2018-03-23)
Open access
Locations
  • Nature Reviews Drug Discovery (publishedVersion, cc-by-sa)
  • PubMed (publishedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
  • University of Miami
  • Wellcome Trust (WT086151, 104104/A/14/Z, WT104104/Z/14/Z)
  • European Molecular Biology Laboratory (WT104104/Z/14/Z)
  • Novo Nordisk (NNF14CC0001)
  • Novo Nordisk Fonden (NNF 14CC0001)
  • National Institutes of Health (U24TR002278, U24 224370, UL1TR001449, CA118100)
  • National Institute of Mental Health (U01MH104984, U01MH104974, U01MH105028, U01MH104999, U01MH105026)
  • National Human Genome Research Institute (UM1HG006370)
  • National Cancer Institute (U24CA224260, R01CA177993, U54CA189201, U54CA189205, U24CA224370, P30CA118100, P50CA058223)
  • National Institute of Diabetes and Digestive and Kidney Diseases (U24DK116195, U24DK116204, U24DK116214)
  • National Center for Advancing Translational Sciences
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Health Sciences › Medicine › Reproductive Medicine › Science, Research, and Medicine
Keywords
druggable proteins, human proteome, G protein-coupled receptors, protein kinases, ion channels, therapeutic opportunities

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read under definition version 3 (extract-v3) on 2026-09-28.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.

Cited sources are checked by gpt-6-sol.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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