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Cited by 938

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Automated docking with grid‐based energy evaluation

Meng, Elaine C., Shoichet, Brian K., Kuntz, Irwin D.·1992·Journal of Computational Chemistry

Abstract

The ability to generate feasible binding orientations of a small molecule within a site of known structure is important for ligand design. We present a method that combines a rapid, geometric docking algorithm with the evaluation of molecular mechanics interaction energies. The computational costs of evaluation are minimal because we precalculate the receptor‐dependent terms in the potential function at points on a three‐dimensional grid. In four test cases where the components of crystallographically determined complexes are redocked, the “force field” score correctly identifies the family of orientations closest to the experimental binding geometry. Scoring functions that consider only steric factors or only electrostatic factors are less successful. The force field function will play an important role in our efforts to search databases for potential lead compounds.

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Crossref · 10.1002/jcc.540130412

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Metadata

Authors
Meng, E. C., Shoichet, B. K., & Kuntz, I. D.
Venue
Journal of Computational Chemistry
Publisher
Wiley
Published
1992-05
Volume
13
Issue
4
Pages
505-524
ISSN
  • 0192-8651 (ISSN-L)
  • 1096-987X
OpenAlex
W2171234651
Cited by
938
References
27
FWCI
26.99
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Automated docking with grid‐based energy evaluation. https://app.cochat.ai/papers/10.1002/jcc.540130412
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Meng, E. C., Shoichet, B. K., & Kuntz, I. D. (1992). Automated docking with grid‐based energy evaluation. Journal of Computational Chemistry. https://doi.org/10.1002/jcc.540130412

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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.