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Ligand-induced conformational selection predicts the selectivity of cysteine protease inhibitors

Sartori, Geraldo Rodrigues; Leit�o, Andrei; Montanari, Carlos A.; Laughton, Charles A.

Ligand-induced conformational selection predicts the selectivity of cysteine protease inhibitors Thumbnail


Authors

Geraldo Rodrigues Sartori

Andrei Leit�o

Carlos A. Montanari

CHARLES LAUGHTON CHARLES.LAUGHTON@NOTTINGHAM.AC.UK
Professor of Computational Pharmaceutical Science



Contributors

Freddie Salsbury
Editor

Abstract

Cruzain, a cysteine protease of Trypanosoma cruzi, is a validated target for the treatment of Chagas disease. Due to its high similarity in three-dimensional structure with human cathepsins and their sequence identity above 70% in the active site regions, identifying potent but selective cruzain inhibitors with low side effects on the host organism represents a significant challenge. Here a panel of nitrile ligands with varying potencies against cathepsin K, cathepsin L and cruzain, are studied by molecular dynamics simulations as both non-covalent and covalent complexes. Principal component analysis (PCA), identifies and quantifies patterns of ligand-induced conformational selection that enable the construction of a decision tree which can predict with high confidence a low-nanomolar inhibitor of each of three proteins, and determine the selectivity for one against others.

Journal Article Type Article
Acceptance Date Dec 6, 2019
Online Publication Date Dec 19, 2019
Publication Date Dec 19, 2019
Deposit Date Jul 20, 2020
Publicly Available Date Jul 20, 2020
Journal PLOS ONE
Publisher Public Library of Science
Peer Reviewed Peer Reviewed
Volume 14
Issue 12
Article Number e0222055
DOI https://doi.org/10.1371/journal.pone.0222055
Keywords General Biochemistry, Genetics and Molecular Biology; General Agricultural and Biological Sciences; General Medicine
Public URL https://nottingham-repository.worktribe.com/output/3611789
Publisher URL https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0222055

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