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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Drift-diffusion (DrDiff) framework determines kinetics and thermodynamics of two-state folding trajectory and tunes diffusion models

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Autor(es):
Freitas, Frederico Campos [1] ; Lima, Angelica Nakagawa [2, 1] ; Contessoto, Vinicius de Godoi [3, 4, 5] ; Whitford, Paul C. [6] ; de Oliveira, Ronaldo Junio [1]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Univ Fed Triangulo Mineiro, Inst Ciencias Exatas Nat & Educ, Dept Fis, Lab Biofis Teor, Uberaba, MG - Brazil
[2] Univ Fed ABC, Lab Biol Computac & Bioinformat, Santo Andre, SP - Brazil
[3] Rice Univ, Ctr Theoret Biol Phys, Houston, TX 77005 - USA
[4] Univ Estadual Paulista, Dept Fis, Sao Jose Do Rio Preto, SP - Brazil
[5] Brazilian Ctr Res Energy & Mat CNPEM, Brazilian Biorenewables Natl Lab LNBR, Campinas, SP - Brazil
[6] Northeastern Univ, Dept Phys, Boston, MA 02115 - USA
Número total de Afiliações: 6
Tipo de documento: Artigo Científico
Fonte: Journal of Chemical Physics; v. 151, n. 11 SEP 21 2019.
Citações Web of Science: 0
Resumo

The stochastic drift-diffusion (DrDiff) theory is an approach used to characterize the dynamical properties of simulation data. With new features in transition times analyses, the framework characterized the thermodynamic free-energy profile {[}F(Q)], the folding time (tau(f)), and transition path time (tau(TP)) by determining the coordinate-dependent drift-velocity {[}v(Q)] and diffusion {[}D(Q)] coefficients from trajectory time traces. In order to explore the DrDiff approach and to tune it with two other methods (Bayesian analysis and fep1D algorithm), a numerical integration of the Langevin equation with known D(Q) and F(Q) was performed and the inputted coefficients were recovered with success by the diffusion models. DrDiff was also applied to investigate the prion protein (PrP) kinetics and thermodynamics by analyzing folding/unfolding simulations. The protein structure-based model, the well-known Go over bar -model, was employed in a coarse-grained C-alpha level to generate long constant-temperature time series. PrP was chosen due to recent experimental single-molecule studies in D and tau(TP) that stressed the importance and the difficulty of probing these quantities and the rare transition state events related to prion misfolding and aggregation. The PrP thermodynamic double-well F(Q) profile, the ``X{''} shape of tau(f)(T), and the linear shape of tau(TP)(T) were predicted with v(Q) and D(Q) obtained by the DrDiff algorithm. With the advance of single-molecule techniques, the DrDiff framework might be a useful ally for determining kinetic and thermodynamic properties by analyzing time observables of biomolecular systems. The code is freely available at . (AU)

Processo FAPESP: 17/09662-7 - Evolução racional por métodos computacionais aplicada em enzimas relacionadas com a produção de bioetanol
Beneficiário:Vinícius de Godoi Contessoto
Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado
Processo FAPESP: 16/13998-8 - Evolução racional por métodos computacionais aplicados na predição de mutações no desenvolvimento de enzimas para produção de biocombustíveis
Beneficiário:Vinícius de Godoi Contessoto
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado