Cargando…

Hamiltonian Switch Metropolis Monte Carlo Simulations for Improved Conformational Sampling of Intrinsically Disordered Regions Tethered to Ordered Domains of Proteins

[Image: see text] There is growing interest in the topic of intrinsically disordered proteins (IDPs). Atomistic Metropolis Monte Carlo (MMC) simulations based on novel implicit solvation models have yielded useful insights regarding sequence-ensemble relationships for IDPs modeled as autonomous unit...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mittal, Anuradha, Lyle, Nicholas, Harmon, Tyler S., Pappu, Rohit V.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Chemical Society 2014
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4132852/ https://www.ncbi.nlm.nih.gov/pubmed/25136274 http://dx.doi.org/10.1021/ct5002297

Ejemplares similares

Quantum-Inspired Magnetic Hamiltonian Monte Carlo
por: Mongwe, Wilson Tsakane, et al.
Publicado: (2021)

Note on the metropolis Monte Carlo method on random lattices
por: Tsuda, N, et al.
Publicado: (1994)

Hamiltonian Monte Carlo Inversion of Seismic Sources in Complex Media
por: Fichtner, Andreas, et al.
Publicado: (2018)

Perturbation bounds for Monte Carlo within Metropolis via restricted approximations
por: Medina-Aguayo, Felipe, et al.
Publicado: (2020)

Local Hamiltonian Monte Carlo study of the massive Schwinger model: the decoupling of heavy flavours
por: Ranft, J
Publicado: (1983)

Local Hamiltonian Monte Carlo study of the massive Schwinger model in an external background field
por: Ranft, J, et al.
Publicado: (1982)

Hamiltonian Monte Carlo study of 1 + 1 dimensional models with restricted supersymmetry on the lattice
por: Ranft, J, et al.
Publicado: (1984)

Hamiltonian Monte Carlo methods for efficient parameter estimation in steady state dynamical systems
por: Kramer, Andrei, et al.
Publicado: (2014)

Parameter estimation for X-ray scattering analysis with Hamiltonian Markov Chain Monte Carlo
por: Jiang, Zhang, et al.
Publicado: (2022)

Bayesian Inference for Mixed Gaussian GARCH-Type Model by Hamiltonian Monte Carlo Algorithm
por: Liang, Rubing, et al.
Publicado: (2022)

Conference on Monte Carlo Method in the Physical Sciences : Festschrift 50th Anniversary of the Metropolis Algorithm
por: Gubernatis, James E
Publicado: (2003)

Quantum Monte Carlo simulation of a particular class of non-stoquastic Hamiltonians in quantum annealing
por: Ohzeki, Masayuki
Publicado: (2017)

Performance of Hamiltonian Monte Carlo and No-U-Turn Sampler for estimating genetic parameters and breeding values
por: Nishio, Motohide, et al.
Publicado: (2019)

Intrinsically disordered linkers determine the interplay between phase separation and gelation in multivalent proteins
por: Harmon, Tyler S, et al.
Publicado: (2017)

Sampling of the conformational landscape of small proteins with Monte Carlo methods
por: Heilmann, Nana, et al.
Publicado: (2020)

Monte Carlo and Quasi-Monte Carlo Sampling
por: Lemieux, Christiane
Publicado: (2009)

Scalable gradients enable Hamiltonian Monte Carlo sampling for phylodynamic inference under episodic birth-death-sampling models
por: Shao, Yucai, et al.
Publicado: (2023)

Monte Carlo and Quasi-Monte Carlo Methods 2008
por: L' Ecuyer, Pierre
Publicado: (2009)

Segmenting Proteins into Tripeptides to Enhance Conformational Sampling with Monte Carlo Methods
por: Denarie, Laurent, et al.
Publicado: (2018)

Solving Equations of Motion by Using Monte Carlo Metropolis: Novel Method Via Random Paths Sampling and the Maximum Caliber Principle
por: González Diaz, Diego, et al.
Publicado: (2020)

The Monte-Carlos
por: Sjöstrand, Torbjörn
Publicado: (1993)

Monte Carlo and quasi-Monte Carlo methods in scientific computing /
Publicado: (1995)

Monte Carlo study of the ordering in a strongly frustrated liquid crystal
por: George, S., et al.
Publicado: (2017)

Nonlinear joint models for individual dynamic prediction of risk of death using Hamiltonian Monte Carlo: application to metastatic prostate cancer
por: Desmée, Solène, et al.
Publicado: (2017)

Hamiltonian Monte Carlo sampling to estimate past population dynamics using the skygrid coalescent model in a Bayesian phylogenetics framework
por: Baele, Guy, et al.
Publicado: (2020)

Strong coupling, Monte Carlo methods, conformal field theory and random systems
por: Itzykson, Claude, et al.
Publicado: (1989)

Dosimetric comparison of pencil beam and Monte Carlo algorithms in conformal lung radiotherapy
por: Elcim, Yelda, et al.
Publicado: (2018)

Hamiltonian description of higher order Lagrangians
por: Rashid, M S, et al.
Publicado: (1993)

First-order Lagrangians and the Hamiltonian formalism
por: Cronström, C, et al.
Publicado: (1994)

Competing interactions give rise to two-state behavior and switch-like transitions in charge-rich intrinsically disordered proteins
por: Zeng, Xiangze, et al.
Publicado: (2022)

Comparative studies of Monte Carlo event generation in leading order and next-to-leading order for the CMS collaboration
por: Harrendorf, Marco Alexander
Publicado: (2018)

Monte Carlo simulation
por: Mitchell, Frederick J
Publicado: (2017)

The full Monte-Carlo
Publicado: (1998)

The Monte Carlo method
por: Sobol, I. M.
Publicado: (1974)

Monte Carlo methods
por: Hammersley, J. M. (John Michael)
Publicado: (1964)

Monte Carlo techniques
por: Salicio, J
Publicado: (1985)

Monte Carlo methods
por: Hall, Thomas B
Publicado: (2020)

The Monte Carlo method
por: Sobol, I M
Publicado: (1974)

Monte Carlo methods
por: Kalos, Malvin H, et al.
Publicado: (1986)

Monte Carlo methods
por: Hammersley, John Michael, et al.
Publicado: (1964)

Cannot write session to /tmp/vufind_sessions/sess_laa4qult6m89lg0ovmchvpb659