PreprintCited by 20Protein Structure and DynamicsComputational Drug Discovery MethodsCancer-related Molecular Pathways

Markov models of the apo-MDM2 lid region reveal diffuse yet two-state binding dynamics and receptor poses for computational docking

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Mukherjee, Sudipto, Pantelopulos, George A., Voelz, Vincent A.·2016·Scientific Reports

Preprint — published as 10.1038/srep31631 · Paper page

Abstract

MDM2 is a negative regulator of p53 activity and an important target for cancer therapeutics. The N-terminal lid region of MDM2 modulates interactions with p53 via competition for its binding cleft, exchanging slowly between docked and undocked conformations in the absence of p53. To better understand these dynamics, we constructed Markov State Models (MSMs) from large collections of unbiased simulation trajectories of apo -MDM2, and find strong evidence for diffuse, yet two-state folding and binding of the N-terminal region to the p53 receptor site. The MSM also identifies holo -like receptor conformations highly suitable for computational docking, despite initiating trajectories from closed-cleft receptor structures unsuitable for docking. Fixed-anchor docking studies using a test set of high-affinity small molecules and peptides show simulated receptor ensembles achieve docking successes comparable to cross-docking studies using crystal structures of receptors bound by alternative ligands. For p53, the best-scoring receptor structures have the N-terminal region lid region bound in a helical conformation mimicking the bound structure of p53, suggesting lid region association induces receptor conformations suitable for binding. These results suggest that MD+MSM approaches can sample binding-competent receptor conformations suitable for computational peptidomimetic design, and that inclusion of disordered regions may be essential to capturing the correct receptor dynamics.

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Authors
Mukherjee, S., Pantelopulos, G. A., & Voelz, V. A.
Affiliations
Temple University (US)
Corresponding author
Voelz, Vincent A.
Venue
Scientific Reports
Publisher
openRxiv
Published
2016-05-16
Volume
6
Issue
1
Pages
31631-31631
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2950506427
Cited by
20
References
3
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2023: 1 · 2022: 2 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 7 · 2017: 2 · 2016: 1
FWCI
1.91
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • TUScholarShare (Temple University) (submittedVersion, cc-by)
Funders
  • National Science Foundation (1545957, 0958854, 1412508)
  • Temple University
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
Keywords
MDM2, p53, Markov state models, protein conformational dynamics, two-state folding, protein-ligand binding, computational docking, receptor conformation, intrinsically disordered regions, cancer therapeutics
MeSH terms
Protein Domains, Humans, Markov Chains, Tumor Suppressor Protein p53, Protein Folding, Proto-Oncogene Proteins c-mdm2, Molecular Docking Simulation

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