Results for
""Markov Chains""[mesh_terms]

Decision models in type 2 diabetes mellitus: A systematic review.

Jiayu Li, Yun Bao, Xuedi Chen, Limin Tian

Acta diabetologica 2021;58(11):1451-1469

Electrophysiological models of neural processing.

Mark E Nelson

Wiley interdisciplinary reviews. Systems biology and medicine 2011;3(1):74-92

Molecular simulations and Markov state modeling reveal the structural diversity and dynamics of a theophylline-binding RNA aptamer in its unbound state.

Peter C Anderson, Becka M Warfield

PloS one 2017;12(4):e0176229

Building predictive Markov models of ion channel permeation from molecular dynamics simulations.

Antonio Michelucci, Maria Vittoria Leonardi, Simone Furini, Carmen Domene, Fabio Franciolini, Luigi Catacuzzeno

Biophysical journal 2024;123(21):3832-3843

Controlling protein molecular dynamics: how to accelerate folding while preserving the native state.

Christian H Jensen, Dmitry Nerukh, Robert C Glen

The Journal of chemical physics 2009;129(22):225102

An ensemble of parameters from a robust Markov-based model reproduces L-type calcium currents from different human cardiac myocytes.

Rodrigo Weber Dos Santos, Gustavo Montes Novaes, Enrique Alvarez-Lacalle, Sergio Alonso Muñoz

PloS one 2022;17(4):e0266233

Exploration of the Parameter Space of an Ion Channel Kinetic Model by a Markov-Chain-Based Methodology.

Gabriel Fabricius, Verónica Milesi, Juan I Felice

Journal of chemical information and modeling 2024;64(2):555-562

Markov chain models of coupled calcium channels: Kronecker representations and iterative solution methods.

Gregory D Smith, M Drew Lamar, Peter Kemper, Hilary Deremigio

Physical biology 2008;5(3):036003

Cardiac KATP channel modulation by 16Hz magnetic fields - A theoretical study.

Yuval Aharonovich, Mickey Scheinowitz, Sharon Zlochiver

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2017;2016():161-164

Machine learning methods for protein structure prediction.

Jianlin Cheng, Allison N Tegge, Pierre Baldi

IEEE reviews in biomedical engineering 2012;1():41-9

An integrative computational model for large-scale identification of metalloproteins in microbial genomes: a focus on iron-sulfur cluster proteins.

Johan Estellon, Sandrine Ollagnier de Choudens, Myriam Smadja, Marc Fontecave, Yves Vandenbrouck

Metallomics : integrated biometal science 2015;6(10):1913-30

Prediction of protein methylation sites using conditional random field.

Jun Ding, Yan Xu, Qiang Huang, Nai-Yang Deng

Protein and peptide letters 2013;20(1):71-7

Thermodynamically accurate modeling of the catalytic cycle of photosynthetic oxygen evolution: a mathematical solution to asymmetric Markov chains.

David J Vinyard, Chase E Zachary, Gennady Ananyev, G Charles Dismukes

Biochimica et biophysica acta 2013;1827(7):861-8

Symmetry-adapted Markov state models of closing, opening, and desensitizing in α 7 nicotinic acetylcholine receptors.

Erik Lindahl, Rebecca J Howard, Yuxuan Zhuang

Nature communications 2024;15(1):9022