| 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 | 138 | 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 | 85 | 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 | 69 | 2016 |
| Nucleosome allostery in pioneer transcription factor binding C Tan, S Takada Proceedings of the National Academy of Sciences 117 (34), 20586-20596, 2020 | 67 | 2020 |
| 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 | 60 | 2017 |
| 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 | 56 | 2021 |
| 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 | 52 | 2014 |
| 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 | 48 | 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 | 39 | 2018 |
| 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 | 24 | 2021 |
| 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 | 23 | 2012 |
| 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 | 16 | 2020 |
| Nucleosomes as allosteric scaffolds for genetic regulation S Takada, GB Brandani, C Tan Current Opinion in Structural Biology 62, 93-101, 2020 | 13 | 2020 |
| Highly charged proteins and their repulsive interactions antagonize biomolecular condensation C Tan, A Niitsu, Y Sugita JACS Au 3 (3), 834-848, 2023 | 12 | 2023 |
| 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 | 12 | 2021 |
| 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 | 9 | 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 | 7 | 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 | 6 | 2020 |
| GENESIS CGDYN: large-scale coarse-grained MD simulation with dynamic load balancing for heterogeneous biomolecular systems J Jung, C Tan, Y Sugita Nature Communications 15 (1), 3370, 2024 | 3 | 2024 |
| 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 | 3 | 2023 |
Shoji TakadaKyoto University確認したメール アドレス: biophys.kyoto-u.ac.jp
