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PMID: 7634078 Published · ppublish English Journal Article

Prediction of new serine proteinase inhibitors.

Nature structural biology ·Vol. 1 ·No. 10 ·1994-10-00 ·Pages 735-43

Kurinov IV, Harrison RW

Abstract

We describe here the use of a rapid computational method to predict the relative binding strengths of a series of small-molecule ligands for the serine proteinase trypsin. Flexible molecular models of the ligands were docked to the proteinase using an all-atom potential set, without cutoff limits for the non-bonded and electrostatic energies. The binding-strength calculation is done directly in terms of a molecular mechanics potential. The binding of eighteen different compounds, including non-binding controls, has been successfully predicted. The measured Ki is correlated with the predicted energy. The correctness of the theoretical calculations is demonstrated with both kinetics measurements and X-ray structure determination of six enzyme-inhibitor complexes.

MeSH Terms
Computer Simulation Crystallography, X-Ray Electrochemistry Kinetics Models, Molecular Molecular Structure Trypsin Inhibitors/chemistry,metabolism
Chemicals
Trypsin Inhibitors
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Kurinov I V
Department of Pharmacology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Harrison R W
Article Info
Journal
Nature structural biology
Abbr.
Nat Struct Biol
ISSN
1072-8368
Published
1994-10-00
Pages
735-43
Language
English
Region
United States
NLM ID
9421566
Subset
IM
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