JOURNAL ARTICLE

Computer-aided drug discovery

W. Graham Richards

Year: 1992 Journal:   Proceedings of the Royal Society of Edinburgh Section B Biological Sciences Vol: 99 (1-2)Pages: 105-111   Publisher: Cambridge University Press

Abstract

Synopsis: The role of computers in drug discovery depends on just how much is known about the target macromolecule. If atomic detail of the receptor is known, binding free energy differences between drug variants may be computed. Major effort is being expended in extending the area of applicability of such studies by predicting protein structure based on homologies with known protein crystal data. Where no target structure is available, computational methods can provide leads by defining transition state structures and then using the approach of molecular similarity to define stable mimics to act as blockers.

Keywords:
Drug discovery Computational biology Computer science Similarity (geometry) Drug Protein structure State (computer science) Data mining Bioinformatics Chemistry Artificial intelligence Biology Algorithm Biochemistry Pharmacology

Metrics

3
Cited By
0.46
FWCI (Field Weighted Citation Impact)
16
Refs
0.65
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Computational Drug Discovery Methods
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Protein Structure and Dynamics
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Enzyme Structure and Function
Physical Sciences →  Materials Science →  Materials Chemistry
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