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Cited by 346

The DOI matches its Crossref record; 120 of the 120 references it cites were found in a registry or an index.

Molecular docking as a popular tool in drug design, an in silico travel

Open access
de Ruyck, Jerome, Brysbaert, Guillaume, Blossey, Ralf, Lensink, Marc·2016·Advances and Applications in Bioinformatics and Chemistry

Abstract

New molecular modeling approaches, driven by rapidly improving computational platforms, have allowed many success stories for the use of computer-assisted drug design in the discovery of new mechanism-or structure-based drugs. In this overview, we highlight three aspects of the use of molecular docking. First, we discuss the combination of molecular and quantum mechanics to investigate an unusual enzymatic mechanism of a flavoprotein. Second, we present recent advances in anti-infectious agents' synthesis driven by structural insights. At the end, we focus on larger biological complexes made by protein-protein interactions and discuss their relevance in drug design. This review provides information on how these large systems, even in the presence of the solvent, can be investigated with the outlook of drug discovery.

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Metadata

Authors
de Ruyck, J., Brysbaert, G., Blossey, R., & Lensink, M.
Venue
Advances and Applications in Bioinformatics and Chemistry
Published
2016-06
Volume
Volume 9
Pages
1-11
ISSN
1178-6949 (ISSN-L)
OpenAlex
W2461958429
Cited by
346
References
120
FWCI
25.31
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Molecular docking as a popular tool in drug design, an in silico travel. https://app.cochat.ai/papers/10.2147/aabc.s105289
The paper
de Ruyck, J., Brysbaert, G., Blossey, R., & Lensink, M. (2016). Molecular docking as a popular tool in drug design, an in silico travel. Advances and Applications in Bioinformatics and Chemistry. https://doi.org/10.2147/aabc.s105289

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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.