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Cited by 313

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

Hit Identification and Optimization in Virtual Screening: Practical Recommendations Based on a Critical Literature Analysis: Miniperspective

Open access
Zhu, Tian, Cao, Shuyi, Su, Pin-Chih, Patel, Ram, Shah, Darshan, Chokshi, Heta B., Szukala, Richard, Johnson, Michael E., Hevener, Kirk E.·2013·Journal of Medicinal Chemistry

Abstract

A critical analysis of virtual screening results published between 2007 and 2011 was performed. The activity of reported hit compounds from over 400 studies was compared to their hit identification criteria. Hit rates and ligand efficiencies were calculated to assist in these analyses, and the results were compared with factors such as the size of the virtual library and the number of compounds tested. A series of promiscuity, druglike, and ADMET filters were applied to the reported hits to assess the quality of compounds reported, and a careful analysis of a subset of the studies that presented hit optimization was performed. These data allowed us to make several practical recommendations with respect to selection of compounds for experimental testing, definition of hit identification criteria, and general virtual screening hit criteria to allow for realistic hit optimization. A key recommendation is the use of size-targeted ligand efficiency values as hit identification criteria.

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Metadata

Authors
Zhu, T., Cao, S., Su, P.-C., Patel, R., Shah, D., Chokshi, H. B., Szukala, R., Johnson, M. E., & Hevener, K. E.
Venue
Journal of Medicinal Chemistry
Published
2013-06-07
Volume
56
Issue
17
Pages
6560-6572
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2175130792
Cited by
313
References
51
FWCI
15.93
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Hit Identification and Optimization in Virtual Screening: Practical Recommendations Based on a Critical Literature Analysis: Miniperspective. https://app.cochat.ai/papers/10.1021/jm301916b
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Zhu, T., Cao, S., Su, P.-C., Patel, R., Shah, D., Chokshi, H. B., Szukala, R., Johnson, M. E., & Hevener, K. E. (2013). Hit Identification and Optimization in Virtual Screening: Practical Recommendations Based on a Critical Literature Analysis: Miniperspective. Journal of Medicinal Chemistry. https://doi.org/10.1021/jm301916b

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