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Cited by 277

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Docking Screens for Novel Ligands Conferring New Biology: Miniperspective

Open access
Irwin, John J., Shoichet, Brian K.·2016·Journal of Medicinal Chemistry

Abstract

It is now plausible to dock libraries of 10 million molecules against targets over several days or weeks. When the molecules screened are commercially available, they may be rapidly tested to find new leads. Although docking retains important liabilities (it cannot calculate affinities accurately nor even reliably rank order high-scoring molecules), it can often can distinguish likely from unlikely ligands, often with hit rates above 10%. Here we summarize the improvements in libraries, target quality, and methods that have supported these advances, and the open access resources that make docking accessible. Recent docking screens for new ligands are sketched, as are the binding, crystallographic, and in vivo assays that support them. Like any technique, controls are crucial, and key experimental ones are reviewed. With such controls, docking campaigns can find ligands with new chemotypes, often revealing the new biology that may be docking's greatest impact over the next few years.

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Crossref · 10.1021/acs.jmedchem.5b02008

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Metadata

Authors
Irwin, J. J., & Shoichet, B. K.
Venue
Journal of Medicinal Chemistry
Published
2016-03-15
Volume
59
Issue
9
Pages
4103-4120
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2274656763
Cited by
277
References
17
FWCI
32.45
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Docking Screens for Novel Ligands Conferring New Biology: Miniperspective. https://app.cochat.ai/papers/10.1021/acs.jmedchem.5b02008
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Irwin, J. J., & Shoichet, B. K. (2016). Docking Screens for Novel Ligands Conferring New Biology: Miniperspective. Journal of Medicinal Chemistry. https://doi.org/10.1021/acs.jmedchem.5b02008

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.