Cited by 69Protein Structure and DynamicsProtein Kinase Regulation and GTPase SignalingComputational Drug Discovery Methods

Towards simple kinetic models of functional dynamics for a kinase subfamily

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Sultan, Mohammad M., Kiss, Gert, Pande, Vijay S.·2018·Nature Chemistry

Published version of a preprint

Abstract

Kinases are ubiquitous enzymes involved in the regulation of critical cellular pathways. However, in silico modelling of the conformational ensembles of these enzymes is difficult due to inherent limitations and the cost of computational approaches. Recent algorithmic advances combined with homology modelling and parallel simulations have enabled researchers to address this computational sampling bottleneck. Here, we present the results of molecular dynamics studies for seven Src family kinase (SFK) members: Fyn, Lyn, Lck, Hck, Fgr, Yes and Blk. We present a sequence invariant extension to Markov state models, which allows us to quantitatively compare the structural ensembles of the seven kinases. Our findings indicate that in the absence of their regulatory partners, SFK members have similar in silico dynamics with active state populations ranging from 4 to 40% and activation timescales in the hundreds of microseconds. Furthermore, we observe several potentially druggable intermediate states, including a pocket next to the adenosine triphosphate binding site that could potentially be targeted via a small-molecule inhibitor.

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Authors
Sultan, M. M., Kiss, G., & Pande, V. S.
Affiliations
  • Stanford University (US)
  • Revolution Medicines (United States) (US)
Corresponding author
Pande, Vijay S.
Venue
Nature Chemistry
Published
2018-07-09
Volume
10
Issue
9
Pages
903-909
ISSN
  • 1755-4330 (ISSN-L)
  • 1755-4349
OpenAlex
W2950292741
Cited by
68
References
85
Citations by year
2026: 3 · 2025: 5 · 2024: 11 · 2023: 8 · 2022: 8 · 2021: 12 · 2020: 9 · 2019: 9 · 2018: 3
FWCI
3.02
Type
journal article
Language
en
Open access
Locations
  • Nature Chemistry (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • National Science Foundation (0954714)
  • National Institutes of Health (1s10rr026647-01)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
Keywords
Src family kinases, kinase activation, conformational dynamics, Markov state models, ATP binding site, small-molecule kinase inhibitors, Fyn, Lyn kinase, Lck, Hck, Fgr, Yes, BLK, enzyme kinetics
MeSH terms
Adenosine Triphosphate, Binding Sites, Kinetics, Markov Chains, Models, Biological, Protein Structure, Tertiary, src-Family Kinases, Amino Acid Motifs, Protein Kinase Inhibitors, Small Molecule Libraries, Molecular Dynamics Simulation

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