Cited by 518Computational Drug Discovery MethodsCholinesterase and Neurodegenerative Diseasesvaccines and immunoinformatics approaches

Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go

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Moitessier, N, Englebienne, P, Lee, D, Lawandi, J, Corbeil, C R·2008·British Journal of Pharmacology

Abstract

Accelerating the drug discovery process requires predictive computational protocols capable of reducing or simplifying the synthetic and/or combinatorial challenge. Docking-based virtual screening methods have been developed and successfully applied to a number of pharmaceutical targets. In this review, we first present the current status of docking and scoring methods, with exhaustive lists of these. We next discuss reported comparative studies, outlining criteria for their interpretation. In the final section, we describe some of the remaining developments that would potentially lead to a universally applicable docking/scoring method.

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  • The consensus scoring strategy could overcome to some extent the limitations faced by the single-scoring approach, for example, inconsistent performances across different protein targets and chemical classes.

    “The CS strategy could overcome to some extent the limitations faced by the single-scoring approach, for example, the inconsistent performances across different protein targets and chemical classes (Moitessier et al., 2009).”

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Authors
Moitessier, N., Englebienne, P., Lee, D., Lawandi, J., & Corbeil, C. R.
Affiliations
McGill University (CA)
Corresponding author
Moitessier, N
Venue
British Journal of Pharmacology
Publisher
Wiley
Published
2008-03
Volume
153
Issue
S1
Pages
S7-26
ISSN
  • 0007-1188 (ISSN-L)
  • 1476-5381
OpenAlex
W2135817448
Cited by
514
References
209
Citations by year
2026: 8 · 2025: 11 · 2024: 14 · 2023: 19 · 2022: 24 · 2021: 24 · 2020: 16 · 2019: 18 · 2018: 18 · 2017: 26 · 2016: 30 · 2015: 38 · 2014: 34 · 2013: 37 · 2012: 43
FWCI
2.26
Type
journal article
Language
en
Open access
Locations
  • British Journal of Pharmacology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Canadian Institutes of Health Research
  • Natural Sciences and Engineering Research Council of Canada
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Health Sciences › Medicine › Pharmacology › Cholinesterase and Neurodegenerative Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
Keywords
molecular docking, scoring functions, virtual screening, drug discovery, binding affinity prediction, therapeutic target
MeSH terms
Algorithms, Animals, Artificial Intelligence, Computer Simulation, Drug Evaluation, Preclinical, Humans, Metals, Models, Molecular, Molecular Conformation, Nucleic Acids, Proteins, Stochastic Processes, Reproducibility of Results

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