Cited by 76Computational Drug Discovery Methodsvaccines and immunoinformatics approachesProtein Interaction Studies and Fluorescence Analysis

Targeted scoring functions for virtual screening.

Seifert, Markus H.J.·2009·Drug Discovery Today

Abstract

The benefit offered by virtual screening methods during the early drug discovery process is directly related to the predictivity of scoring functions that assess protein-ligand binding affinity. The scoring of protein-ligand complexes, however, is still a challenge: despite great efforts, a universal and accurate scoring method has not been developed up to now. Targeted scoring functions, in contrast, enhance virtual screening performance significantly. This review analyzes recent developments and future directions in the area of targeted scoring functions.

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Crossref · 10.1016/j.drudis.2009.03.013

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References 58 · Cited by 76

Authors
Seifert, M. H. J.
Corresponding author
Seifert, Markus H.J.
Venue
Drug Discovery Today
Publisher
Elsevier BV
Published
2009-06
Volume
14
Issue
11-12
Pages
562-569
ISSN
1359-6446 (ISSN-L)
OpenAlex
W1975606737
Cited by
76
References
58
Citations by year
2025: 3 · 2024: 2 · 2023: 3 · 2022: 3 · 2021: 2 · 2020: 2 · 2019: 5 · 2018: 3 · 2017: 5 · 2016: 5 · 2015: 4 · 2014: 4 · 2013: 3 · 2012: 8
FWCI
1.08
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
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Interaction Studies and Fluorescence Analysis
Keywords
virtual screening, protein-ligand binding affinity, binding affinity prediction, protein-ligand complex, early drug discovery
MeSH terms
Animals, Drug Evaluation, Preclinical, Pharmaceutical Preparations, Humans, Protein Binding, Research Design, Drug Design, Drug Discovery

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