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Decrypting Allostery in Membrane-Bound K-Ras4B Using Complementary In Silico Approaches Based on Unbiased Molecular Dynamics Simulations.
Castelli, Matteo; Marchetti, Filippo; Osuna, Sílvia; F Oliveira, A Sofia; Mulholland, Adrian J; Serapian, Stefano A; Colombo, Giorgio.
Afiliação
  • Castelli M; Department of Chemistry, University of Pavia, viale T. Taramelli 12, 27100 Pavia, Italy.
  • Marchetti F; Department of Chemistry, University of Pavia, viale T. Taramelli 12, 27100 Pavia, Italy.
  • Osuna S; INSTM, via G. Giusti 9, 50121 Florence, Italy.
  • F Oliveira AS; E4 Computer Engineering, via Martiri delle libertà 66, 42019 Scandiano (RE), Italy.
  • Mulholland AJ; Institut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Girona, Catalonia E-17071, Spain.
  • Serapian SA; ICREA, Barcelona, Catalonia E-08010, Spain.
  • Colombo G; Centre for Computational Chemistry, School of Chemistry, University of Bristol, Bristol BS8 1TS, U.K.
J Am Chem Soc ; 146(1): 901-919, 2024 01 10.
Article em En | MEDLINE | ID: mdl-38116743
ABSTRACT
Protein functions are dynamically regulated by allostery, which enables conformational communication even between faraway residues, and expresses itself in many forms, akin to different "languages" allosteric control pathways predominating in an unperturbed protein are often unintuitively reshaped whenever biochemical perturbations arise (e.g., mutations). To accurately model allostery, unbiased molecular dynamics (MD) simulations require integration with a reliable method able to, e.g., detect incipient allosteric changes or likely perturbation pathways; this is because allostery can operate at longer time scales than those accessible by plain MD. Such methods are typically applied singularly, but we here argue their joint application─as a "multilingual" approach─could work significantly better. We successfully prove this through unbiased MD simulations (∼100 µs) of the widely studied, allosterically active oncotarget K-Ras4B, solvated and embedded in a phospholipid membrane, from which we decrypt allostery using four showcase "languages" Distance Fluctuation analysis and the Shortest Path Map capture allosteric hotspots at equilibrium; Anisotropic Thermal Diffusion and Dynamical Non-Equilibrium MD simulations assess perturbations upon, respectively, either superheating or hydrolyzing the GTP that oncogenically activates K-Ras4B. Chosen "languages" work synergistically, providing an articulate, mutually coherent, experimentally consistent picture of K-Ras4B allostery, whereby distinct traits emerge at equilibrium and upon GTP cleavage. At equilibrium, combined evidence confirms prominent allosteric communication from the membrane-embedded hypervariable region, through a hub comprising helix α5 and sheet ß5, and up to the active site, encompassing allosteric "switches" I and II (marginally), and two proposed pockets. Upon GTP cleavage, allosteric perturbations mostly accumulate on the switches and documented interfaces.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Simulação de Dinâmica Molecular Idioma: En Revista: J Am Chem Soc Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Proteínas / Simulação de Dinâmica Molecular Idioma: En Revista: J Am Chem Soc Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Itália