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Cited by 788

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Molecular Recognition and Docking Algorithms

Brooijmans, Natasja, Kuntz, Irwin D.·2003·Annual Review of Biophysics and Biomolecular Structure

Abstract

▪ Abstract Molecular docking is an invaluable tool in modern drug discovery. This review focuses on methodological developments relevant to the field of molecular docking. The forces important in molecular recognition are reviewed and followed by a discussion of how different scoring functions account for these forces. More recent applications of computational chemistry tools involve library design and database screening. Last, we summarize several critical methodological issues that must be addressed in future developments.

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Crossref · 10.1146/annurev.biophys.32.110601.142532

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Metadata

Authors
Brooijmans, N., & Kuntz, I. D.
Venue
Annual Review of Biophysics and Biomolecular Structure
Published
2003-06
Volume
32
Issue
1
Pages
335-373
ISSN
  • 1056-8700 (ISSN-L)
  • 1545-4266
OpenAlex
W2145682943
Cited by
788
References
6
FWCI
32.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Molecular Recognition and Docking Algorithms. https://app.cochat.ai/papers/10.1146/annurev.biophys.32.110601.142532
The paper
Brooijmans, N., & Kuntz, I. D. (2003). Molecular Recognition and Docking Algorithms. Annual Review of Biophysics and Biomolecular Structure. https://doi.org/10.1146/annurev.biophys.32.110601.142532

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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.