Cited by 18Protein Structure and DynamicsSignaling Pathways in DiseaseComputational Drug Discovery Methods

Cyclophilin A Inhibition: Targeting Transition-State-Bound Enzyme Conformations for Structure-Based Drug Design

Nagaraju, Mulpuri, McGowan, Lauren C., Hamelberg, Donald·2013·Journal of Chemical Information and Modeling

Abstract

Human Cyclophilin A (CypA) catalyzes cis-trans isomerization of the prolyl peptide ω-bond in proteins and is involved in many subcellular processes. CypA has, therefore, been identified as a potential drug target in many diseases, and the development of potent inhibitors with high selectivity is a key objective. In computer-aided drug design, selectivity is improved by taking into account the inherent flexibility of the receptor. However, the relevant receptor conformations to focus on in order to develop highly selective inhibitors are not always obvious from available X-ray crystal structures or ensemble of conformations generated using molecular dynamics simulations. Here, we show that the conformation of the active site of CypA varies as the substrate configuration changes during catalytic turnover. We have analyzed the principal modes of the active site dynamics of CypA from molecular dynamics simulations to show that similar ensembles of enzyme conformations recognize diverse inhibitors and bind the different configurations of the peptide substrate. Small nonpeptidomimetic inhibitors with varying activity are recognized by enzyme ensembles that are similar to those that tightly bind the transition state and cis configurations of the substrate. Our results suggest that enzyme-substrate ensembles are more relevant in structure-based drug design for CypA than free enzyme. Of the vast conformational space of the free enzyme, the enzyme conformations of the tightly bound enzyme-substrate complexes are the most important for catalysis. Therefore, functionalizing lead compounds to optimize their interactions with the enzyme's conformational ensemble bound to the substrate in the cis or the transition state could lead to more potent inhibitors.

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Crossref · 10.1021/ci300432w

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Authors
Nagaraju, M., McGowan, L. C., & Hamelberg, D.
Affiliations
Georgia State University (US)
Corresponding author
Hamelberg, Donald
Venue
Journal of Chemical Information and Modeling
Published
2013-01-28
Volume
53
Issue
2
Pages
403-410
ISSN
  • 1549-9596 (ISSN-L)
  • 1549-960X
OpenAlex
W1978646878
Cited by
18
References
63
Citations by year
2025: 1 · 2024: 1 · 2023: 1 · 2022: 2 · 2019: 2 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 4 · 2014: 1 · 2013: 1
FWCI
1.19
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Chemical Information and Modeling (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • University of Georgia
  • Georgia State University
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Signaling Pathways in Disease
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
Keywords
cyclophilin A, peptidyl-prolyl isomerase, active site dynamics, transition state binding, enzyme-substrate complex, substrate conformation, structure-based drug design, inhibitor selectivity, protein flexibility
MeSH terms
Enzyme Inhibitors, Humans, Protein Binding, Protein Conformation, Drug Design, Catalytic Domain, Cyclophilin A, Molecular Dynamics Simulation

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