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Cited by 489

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Detailed Analysis of Scoring Functions for Virtual Screening

Stahl, Martin, Rarey, Matthias·2001·Journal of Medicinal Chemistry

Abstract

We present a comprehensive study of the performance of fast scoring functions for library docking using the program FlexX as the docking engine. Four scoring functions, among them two recently developed knowledge-based potentials, are evaluated on seven target proteins whose binding sites represent a wide range of size, form, and polarity. The results of these calculations give valuable insight into strengths and weaknesses of current scoring functions. Furthermore, it is shown that a well-chosen combination of two of the tested scoring functions leads to a new, robust scoring scheme with superior performance in virtual screening.

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Metadata

Authors
Stahl, M., & Rarey, M.
Venue
Journal of Medicinal Chemistry
Published
2001-03-01
Volume
44
Issue
7
Pages
1035-1042
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2035292911
Cited by
489
References
25
FWCI
38.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Detailed Analysis of Scoring Functions for Virtual Screening. https://app.cochat.ai/papers/10.1021/jm0003992
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Stahl, M., & Rarey, M. (2001). Detailed Analysis of Scoring Functions for Virtual Screening. Journal of Medicinal Chemistry. https://doi.org/10.1021/jm0003992

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.