Cited by 87Computational Drug Discovery MethodsAdvanced Chemical Physics StudiesCrystallography and molecular interactions

Water, water, everywhere… It’s time to stop and think.

Bodnarchuk, Michael S.·2016·Drug Discovery Today

Abstract

Despite the numerous methods available for predicting the location and affinity of water molecules, there is still a degree of scepticism and reluctance towards using such information within a drug discovery program. Here, I review some of the most common and popular methods to assess whether these apparent concerns are justified. I suggest that the field is approaching maturity and that some methods are capable of giving quantitative predictions, which are confirmed experimentally. This suggests that water-placement methods should be used more widely to help direct chemistry efforts, although more successful examples are required to help validate the techniques.

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Crossref · 10.1016/j.drudis.2016.05.009

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72 of 72 references verified0 citation errors · 0 not checkable

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  • Bodnarchuk published an extensive review of water-placement methods helpful for locating conserved water molecules within the protein binding site to be considered explicitly during docking simulation.

    “Recently, Bodnarchuk (2016) published an extensive review of water-placement methods helpful for locating conserved water molecules within the protein binding site to be considered explicitly during the docking simulation.”
  • The correct prediction of the free energy of binding associated with the ligand displacement of water molecules is a key challenge for currently available docking scoring functions.

    “The correct prediction of the free energy of binding associated to the ligand displacement of water molecules is a key challenge for the currently available docking scoring functions (Riniker et al., 2012; Spyrakis and Cavasotto, 2015; Bodnarchuk, 2016).”

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Authors
Bodnarchuk, M. S.
Corresponding author
Bodnarchuk, Michael S.
Venue
Drug Discovery Today
Publisher
Elsevier BV
Published
2016-07
Volume
21
Issue
7
Pages
1139-1146
ISSN
1359-6446 (ISSN-L)
OpenAlex
W2407851381
Cited by
81
References
72
Citations by year
2026: 3 · 2025: 3 · 2024: 4 · 2023: 5 · 2022: 11 · 2021: 10 · 2020: 10 · 2019: 6 · 2018: 17 · 2017: 10 · 2016: 2
FWCI
0.90
Type
journal article
Language
en
Open access
closed
Locations
  • Drug Discovery Today (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
  • Physical Sciences › Chemistry › Physical and Theoretical Chemistry › Crystallography and molecular interactions
Keywords
water affinity, drug discovery, quantitative prediction, experimental validation
MeSH terms
Monte Carlo Method, Water, Drug Discovery

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