Showing results (1-10 of 591) with videos related to
Sort By:
Pageof 60
Journal of Chemical Theory and Computation|November 18, 2015
Automatic state partitioning for multibody systems (APM): an efficient algorithm for constructing Markov state models to elucidate conformational dynamics of multibody systemsFu Kit Sheong, Daniel-Adriano Silva, Luming Meng, et al.Advances in Experimental Medicine and Biology|January 22, 2014
Application of Markov State Models to simulate long timescale dynamics of biological macromoleculesLin-Tai Da, Fu Kit Sheong, Daniel-Adriano Silva, et al.The Journal of Chemical Physics|August 3, 2017
Path lumping: An efficient algorithm to identify metastable path channels for conformational dynamics of multi-body systemsLuming Meng, Fu Kit Sheong, Xiangze Zeng, et al.Journal of Computational Chemistry|September 22, 2012
A fast parallel clustering algorithm for molecular simulation trajectoriesYutong Zhao, Fu Kit Sheong, Jian Sun, et al.Proceedings of the National Academy of Sciences of the United States of America|February 25, 2025
Linking DNA-packing density distribution and TAD boundary locationsLuming Meng, Fu Kit Sheong, Qiong LuoThe Journal of Chemical Physics|August 10, 2015
Reference interaction site model with hydrophobicity induced density inhomogeneity: An analytical theory to compute solvation properties of large hydrophobic solutes in the mixture of polyatomic solvent moleculesSiqin Cao, Fu Kit Sheong, Xuhui HuangPlos Computational Biology|August 8, 2014
Quantitatively characterizing the ligand binding mechanisms of choline binding protein using Markov state model analysisShuo Gu, Daniel-Adriano Silva, Luming Meng, et al.Physical Chemistry Chemical Physics : PCCP|June 18, 2016
Elucidation of the conformational dynamics of multi-body systems by construction of Markov state modelsLizhe Zhu, Fu Kit Sheong, Xiangze Zeng, et al.The Journal of Chemical Physics|August 24, 2018
An efficient Bayesian kinetic lumping algorithm to identify metastable conformational states via Gibbs samplingWei Wang, Tong Liang, Fu Kit Sheong, et al.Journal of Computational Chemistry|November 22, 2016
Adaptive partitioning by local density-peaks: An efficient density-based clustering algorithm for analyzing molecular dynamics trajectoriesSong Liu, Lizhe Zhu, Fu Kit Sheong, et al.Pageof 60