Glimmers in illuminating the druggable genome
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The growth of the CC resource is restricted by the number and quality of publicly accessible data sets.
“The growth of the CC resource is restricted by the number and quality of publicly accessible data sets, a limitation that is likely to be ameliorated with the implementation of private-public partnerships and the general awareness that, in the markedly gene-centric omics era, the depth of small-molecule annotation lags behind genomes and proteomes39,40.”
From Bioactivity descriptors for uncharacterized chemical compounds (2021) · cites this paper as [40]
The depth of small-molecule annotation lags behind genomes and proteomes.
“the depth of small-molecule annotation lags behind genomes and proteomes39,40.”
From Bioactivity descriptors for uncharacterized chemical compounds (2021) · cites this paper as [40]
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Constitutive G protein coupling profiles of understudied orphan GPCRsPreprint
Lu, S., Jang, W., Inoue, A., & Lambert, N. A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.16.431425 · Cited by 4 · see citing works
Modulation of Tau Tubulin Kinases ((TTBK1 and TTBK2) Impacts CiliogenesisPreprint
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Functional unknomics: closing the knowledge gap to accelerate biomedical researchPreprint
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One-pot modular nanogel platform utilizing phenolic gelatin-polyethyleneimine for small RNA delivery
Park, K., Zheng, J., Yoo, J.-E., Kim, J., Kim, I.-Y., & You, S. (2025) · Chemical Engineering Journal · doi:10.1016/j.cej.2025.159532 · Cited by 3 · see citing works
EnrichrBot: Twitter bot tracking tweets about human genes
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A deep learning framework for elucidating whole-genome chemical interaction spacePreprint
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Drug Discovery and Development for Rare Genetic Disorders
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- Authors
- Rodgers, G., Austin, C., Anderson, J., Pawlyk, A., Colvis, C., Margolis, R., & Baker, J.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Pawlyk, Aaron
- Venue
- Nature Reviews Drug Discovery
- Published
- 2018-01-19
- Volume
- 17
- Issue
- 5
- Pages
- 301-302
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- PMC
- PMC6309548
- OpenAlex
- W2782874671
- Cited by
- 126
- References
- 6
- Citations by year
- 2026: 5 · 2025: 15 · 2024: 14 · 2023: 20 · 2022: 13 · 2021: 24 · 2020: 22 · 2019: 9 · 2018: 3
- FWCI
- 10.85
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Drug Discovery (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (1ziahl006176-02)
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Health Sciences › Medicine › Reproductive Medicine › Science, Research, and Medicine
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- druggable genome, therapeutic target, drug target identification, drug discovery
- MeSH terms
- Humans, National Institutes of Health (U.S.), Pilot Projects, Proteins, United States, Genome, Human, Biomedical Research
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.
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