Cited by 1,667Computational Drug Discovery MethodsReceptor Mechanisms and SignalingProtein Interaction Studies and Fluorescence Analysis

Predicting new molecular targets for known drugs

Open access
Keiser, Michael J., Setola, Vincent, Irwin, John J., Laggner, Christian, Abbas, Atheir I., Hufeisen, Sandra J., Jensen, Niels H., Kuijer, Michael B. +9 more·2009·Nature

Abstract

Although drugs are intended to be selective, at least some bind to several physiological targets, explaining side effects and efficacy. Because many drug-target combinations exist, it would be useful to explore possible interactions computationally. Here we compared 3,665 US Food and Drug Administration (FDA)-approved and investigational drugs against hundreds of targets, defining each target by its ligands. Chemical similarities between drugs and ligand sets predicted thousands of unanticipated associations. Thirty were tested experimentally, including the antagonism of the beta(1) receptor by the transporter inhibitor Prozac, the inhibition of the 5-hydroxytryptamine (5-HT) transporter by the ion channel drug Vadilex, and antagonism of the histamine H(4) receptor by the enzyme inhibitor Rescriptor. Overall, 23 new drug-target associations were confirmed, five of which were potent (<100 nM). The physiological relevance of one, the drug N,N-dimethyltryptamine (DMT) on serotonergic receptors, was confirmed in a knockout mouse. The chemical similarity approach is systematic and comprehensive, and may suggest side-effects and new indications for many drugs.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nature08506

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Psychotria viridis contains DMT, a hallucinogenic tryptamine that acts as a 5-HT1A/2A/2C agonist.

    “The latter plant contains DMT (9), a hallucinogenic tryptamine that acts as a 5-HT1A/2A/2C agonist [54,128].”

    From Molecular and Functional Imaging Studies of Psychedelic Drug Action in Animals and Humans. (2021) · cites this paper as [128]

    In “New targets as primary sites of action” (page unavailable), the paper calls DMT a hallucinogen, reports binding to 5-HT1A, 5-HT2A and 5-HT2C, and demonstrates partial agonism at 5-HT2A. It does not establish 5-HT1A agonism or say that Psychotria viridis contains DMT; its reference list names an earlier study of 5-HT2C agonism. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

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

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 43

  1. [2]Peterson RT Chemical biology and the limits of reductionism Nat Chem Biol 4 635 638 2008 18936741
  2. [3]Nobeli I Favia AD Thornton JM Protein promiscuity and its implications for biotechnology Nat Biotechnol 27 157 167 2009 19204698
  3. [4]Marona-Lewicka D Nichols DE Further evidence that the delayed temporal dopaminergic effects of LSD are mediated by a mechanism different than the first temporal phase of action Pharmacol Biochem Behav 87 453 461 2007 17618679
  4. [5]Marona-Lewicka D Nichols DE WAY 100635 produces discriminative stimulus effects in rats mediated by dopamine D(4) receptor activation Behav Pharmacol 20 114 118 2009 19179855
  5. [6]Roth BL Sheffler DJ Kroeze WK Magic shotguns versus magic bullets: selectively non-selective drugs for mood disorders and schizophrenia Nat Rev Drug Discov 3 353 359 2004 15060530
  6. [7]Rix U Chemical proteomic profiles of the BCR-ABL inhibitors imatinib, nilotinib, and dasatinib reveal novel kinase and nonkinase targets Blood 110 4055 4063 2007 17720881
  7. [8]Hopkins AL Network pharmacology Nat Biotechnol 25 1110 1111 2007 17921993
  8. [10]Bajorath J Computational analysis of ligand relationships within target families Curr Opin Chem Biol 12 352 358 2008 18312862
  9. [11]Oprea TI Tropsha A Faulon JL Rintoul MD Systems chemical biology Nat Chem Biol 3 447 450 2007 17637771 PMC2734506
  10. [12]Newman DJ Natural products as leads to potential drugs: an old process or the new hope for drug discovery? J Med Chem 51 2589 2599 2008 18393402
  11. [13]Siegel MG Vieth M Drugs in other drugs: a new look at drugs as fragments Drug Discov Today 12 71 79 2007 17198975
  12. [14]Miller JR A class of selective antibacterials derived from a protein kinase inhibitor pharmacophore Proc Natl Acad Sci U S A 106 1737 1742 2009 19164768 PMC2644107
  13. [15]Walsh CT Fischbach MA Repurposing libraries of eukaryotic protein kinase inhibitors for antibiotic discovery Proc Natl Acad Sci U S A 106 1689 1690 2009 19193851 PMC2644097
  14. [16]Young DW Integrating high-content screening and ligand-target prediction to identify mechanism of action Nat Chem Biol 4 59 68 2008 18066055
  15. [17]Wagner BK Large-scale chemical dissection of mitochondrial function Nat Biotechnol 26 343 351 2008 18297058 PMC2715872
  16. [18]Krejsa CM Predicting ADME properties and side effects: the BioPrint approach Curr Opin Drug Discov Devel 6 470 480 2003 12951810
  17. [19]Campillos M Kuhn M Gavin AC Jensen LJ Bork P Drug target identification using side-effect similarity Science 321 263 266 2008 18621671
  18. [20]Paolini GV Shapland RHB Hoorn WPv Mason JS Hopkins AL Global mapping of pharmacological space Nat Biotechnol 24 805 815 2006 16841068
  19. [21]Keiser MJ Relating protein pharmacology by ligand chemistry Nat Biotechnol 25 197 206 2007 17287757
  20. [23]Hert J Keiser MJ Irwin JJ Oprea TI Shoichet BK Quantifying the relationships among drug classes J Chem Inf Model 48 755 765 2008 18335977 PMC2722950
  21. [24]Nigsch F Bender A Jenkins JL Mitchell JB Ligand-target prediction using Winnow and naive Bayesian algorithms and the implications of overall performance statistics J Chem Inf Model 48 2313 2325 2008 19055411
  22. [25]Schuffenhauer A An ontology for pharmaceutical ligands and its application for in silico screening and library design J Chem Inf Comput Sci 42 947 955 2002 12132896
  23. [26]Oprea TI Chemoinformatics in drug discovery Wiley-VCH 2005
  24. [27]Lomasney JW Molecular cloning and expression of the cDNA for the alpha 1A-adrenergic receptor. The gene for which is located on human chromosome 5 J Biol Chem 266 6365 6369 1991 1706716
  25. [29]Su TP Hayashi T Vaupel DB When the endogenous hallucinogenic trace amine N,N-dimethyltryptamine meets the sigma-1 receptor Sci Signal 2 pe12 2009 19278957 PMC3155724
  26. [31]Smith RL Canton H Barrett RJ Sanders-Bush E Agonist properties of N,N-dimethyltryptamine at serotonin 5-HT2A and 5-HT2C receptors Pharmacol Biochem Behav 61 323 330 1998 9768567
  27. [32]Kohen R Cloning, characterization, and chromosomal localization of a human 5-HT6 serotonin receptor J Neurochem 66 47 56 1996 8522988
  28. [33]Pierce PA Peroutka SJ Hallucinogenic drug interactions with neurotransmitter receptor binding sites in human cortex Psychopharmacology (Berl) 97 118 122 1989 2540505
  29. [34]Abbas AI PSD-95 is essential for hallucinogen and atypical antipsychotic drug actions at serotonin receptors J Neurosci 29 7124 7136 2009 19494135 PMC2836830
  30. [35]Kurland AA Mc CK Michaux WW Clinical trial of haloanisone (R-2028) with hospitalized psychiatric patients J New Drugs 2 352 360 1962 13927502
  31. [37]Gankina EM The effect of antihistaminic preparations on the binding of labelled mepyramine, ketanserin and quinuclidinyl benzilate in the rat brain Eksp Klin Farmakol 56 22 24 1993 8100727
  32. [38]Heykants J On the pharmacokinetics of domperidone in animals and man. IV. The pharmacokinetics of intravenous domperidone and its bioavailability in man following intramuscular, oral and rectal administration Eur J Drug Metab Pharmacokinet 6 61 70 1981 7250152
  33. [40]Stork D State dependent dissociation of HERG channel inhibitors Br J Pharmacol 151 1368 1376 2007 17592502 PMC2189824
  34. [41]Michelson D Interruption of selective serotonin reuptake inhibitor treatment. Double-blind, placebo-controlled trial Br J Psychiatry 176 363 368 2000 10827885
  35. [42]Berger M Gray JA Roth BL The Extended Pharmacology of Serotonin Annual Reviews in Medicine 60 355 366 2009 PMC5864293 19630576
  36. [43]Waldinger MD Hengeveld MW Zwinderman AH Olivier B Effect of SSRI antidepressants on ejaculation: a double-blind, randomized, placebo-controlled study with fluoxetine, fluvoxamine, paroxetine, and sertraline J Clin Psychopharmacol 18 274 281 1998 9690692
  37. [44]Peters JU Schnider P Mattei P Kansy M Pharmacological promiscuity: dependence on compound properties and target specificity in a set of recent Roche compounds ChemMedChem 4 680 686 2009 19266525
  38. [45]Scott LJ Perry CM Delavirdine: a review of its use in HIV infection Drugs 60 1411 1444 2000 11152019
  39. [46]Dijkstra D Human inflammatory dendritic epidermal cells express a functional histamine H4 receptor J Invest Dermatol 128 1696 1703 2008 18239617
  40. [47]Mehvar R Jamali F Watson MW Skelton D Pharmacokinetics of tetrabenazine and its major metabolite in man and rat. Bioavailability and dose dependency studies Drug Metab Dispos 15 250 255 1987 2882986
  41. [48]Inamasu M Totsuka T Ikeo T Nagao T Takeyama S Beta 1-adrenergic selectivity of the new cardiotonic agent denopamine in its stimulating effects on adenylate cyclase Biochem Pharmacol 36 1947 1954 1987 3036156
  42. [49]Jensen NH N-desalkylquetiapine, a potent norepinephrine reuptake inhibitor and partial 5-HT1A agonist, as a putative mediator of quetiapine's antidepressant activity Neuropsychopharmacology 33 2303 2312 2008 18059438
  43. [50]Irwin JJ Shoichet BK ZINC--a free database of commercially available compounds for virtual screening J Chem Inf Model 45 177 182 2005 15667143 PMC1360656

Cited by

Sorted by citations

Authors
Keiser, M. J., Setola, V., Irwin, J. J., Laggner, C., Abbas, A. I., Hufeisen, S. J., Jensen, N. H., Kuijer, M. B., Matos, R. C., Tran, T. B., Whaley, R., Glennon, R. A., Hert, J., Thomas, K. L. H., Edwards, D. D., Shoichet, B. K., & Roth, B. L.
Affiliations
  • University of California, San Francisco (US)
  • National Institute of Mental Health (US)
  • Case Western Reserve University (US)
  • University of North Carolina at Chapel Hill (US)
  • Virginia Commonwealth University (US)
  • Michigan Medicine (US)
Corresponding author
  • Shoichet, Brian K.
  • Roth, Bryan L.
Venue
Nature
Published
2009-11
Volume
462
Issue
7270
Pages
175-181
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2138512826
Cited by
1,667
References
4
Citations by year
2026: 50 · 2025: 56 · 2024: 75 · 2023: 80 · 2022: 85 · 2021: 93 · 2020: 115 · 2019: 114 · 2018: 99 · 2017: 79 · 2016: 109 · 2015: 117 · 2014: 109 · 2013: 132 · 2012: 134
FWCI
116.49
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • UNC Libraries
Funders
  • National Science Foundation
  • National Alliance for Research on Schizophrenia and Depression
  • European Bioinformatics Institute
  • Max Kade Foundation
  • European Commission
  • National Institutes of Health
  • National Institute of Mental Health (U19MH082441, R01MH061887)
  • National Institute on Drug Abuse (R01DA017204)
  • National Institute of General Medical Sciences (T32GM007250)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Interaction Studies and Fluorescence Analysis
Keywords
drug-target interactions, off-target effects, molecular similarity, adverse drug reactions, drug repurposing, protein targets, drug screening, serotonin transporter, histamine H4 receptor, N,N-dimethyltryptamine, serotonergic receptors, drug selectivity
MeSH terms
Animals, Drug Evaluation, Preclinical, Pharmaceutical Preparations, Humans, Ligands, Receptors, Serotonin, Substrate Specificity, United States, United States Food and Drug Administration, Databases, Factual, Mice, Knockout, Computational Biology, Mice, Off-Label Use, Drug-Related Side Effects and Adverse Reactions

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.

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.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review