Cheng Tan
Cited by
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Modeling Structural Dynamics of Biomolecular Complexes by Coarse-Grained Molecular Simulations
S Takada, R Kanada, C Tan, T Terakawa, W Li, H Kenzaki
Accounts of Chemical Research 48 (12), 3026-3035, 2015
DNA sliding in nucleosomes via twist defect propagation revealed by molecular simulations
GB Brandani, T Niina, C Tan, S Takada
Nucleic acids research 46 (6), 2788-2801, 2018
Dynamic Coupling among Protein Binding, Sliding, and DNA Bending Revealed by Molecular Dynamics
C Tan, T Terakawa, S Takada
Journal of the American Chemical Society 138 (27), 8512-8522, 2016
Sequence-dependent nucleosome sliding in rotation-coupled and uncoupled modes revealed by molecular simulations
T Niina, GB Brandani, C Tan, S Takada
PLoS computational biology 13 (12), e1005880, 2017
Nucleosome allostery in pioneer transcription factor binding
C Tan, S Takada
Proceedings of the National Academy of Sciences 117 (34), 20586-20596, 2020
Atomistic picture for the folding pathway of a hybrid-1 type human telomeric DNA G-quadruplex.
Y Bian, C Tan, J Wang, Y Sheng, J Zhang, W Wang
PLoS computational biology 10 (4), e1003562, 2014
New parallel computing algorithm of molecular dynamics for extremely huge scale biological systems
J Jung, C Kobayashi, K Kasahara, C Tan, A Kuroda, K Minami, S Ishiduki, ...
Journal of computational chemistry 42 (4), 231-241, 2021
Implementation of residue-level coarse-grained models in GENESIS for large-scale molecular dynamics simulations
C Tan, J Jung, C Kobayashi, DUL Torre, S Takada, Y Sugita
PLOS Computational Biology 18 (4), e1009578, 2022
Dynamic and structural modeling of the specificity in protein–DNA interactions guided by binding assay and structure data
C Tan, S Takada
Journal of chemical theory and computation 14 (7), 3877-3889, 2018
Low Folding Cooperativity of Hp35 Revealed by Single-Molecule Force Spectroscopy and Molecular Dynamics Simulation
C Lv, C Tan, M Qin, D Zou, Y Cao, W Wang
Biophysical Journal 102 (8), 1944-1951, 2012
The kinetic landscape of nucleosome assembly: A coarse-grained molecular dynamics study
GB Brandani, C Tan, S Takada
PLoS computational biology 17 (7), e1009253, 2021
The HMGB chromatin protein Nhp6A can bypass obstacles when traveling on DNA
K Kamagata, K Ouchi, C Tan, E Mano, S Mandali, Y Wu, S Takada, ...
Nucleic Acids Research 48 (19), 10820-10831, 2020
Nucleosomes as allosteric scaffolds for genetic regulation
S Takada, GB Brandani, C Tan
Current Opinion in Structural Biology 62, 93-101, 2020
Testing mechanisms of DNA sliding by architectural DNA-binding proteins: dynamics of single wild-type and mutant protein molecules in vitro and in vivo
K Kamagata, Y Itoh, C Tan, E Mano, Y Wu, S Mandali, S Takada, ...
Nucleic acids research 49 (15), 8642-8664, 2021
Highly charged proteins and their repulsive interactions antagonize biomolecular condensation
C Tan, A Niitsu, Y Sugita
JACS Au 3 (3), 834-848, 2023
Localized Frustration and Binding-Induced Conformational Change in Recognition of 5S RNA by TFIIIA Zinc Finger
C Tan, W Li, W Wang
J. Phys. Chem. B 117 (50), 15917–15925, 2013
Role of water-bridged interactions in metal ion coupled protein allostery
X Guan, C Tan, W Li, W Wang, D Thirumalai
PLOS Computational Biology 18 (6), e1010195, 2022
A singularity-free torsion angle potential for coarse-grained molecular dynamics simulations
C Tan, J Jung, C Kobayashi, Y Sugita
The Journal of Chemical Physics 153 (4), 2020
Micelle-like clusters in phase-separated Nanog condensates: A molecular simulation study
A Mizutani, C Tan, Y Sugita, S Takada
PLOS Computational Biology 19 (7), e1011321, 2023
Acceleration of residue-level coarse-grained molecular dynamics by efficient parallelization
J Jung, C Tan, C Kobayashi, D Ugarte, Y Sugita
Biophysical Journal 122 (3), 425a, 2023
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