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Number Cited by Other Article(s)
1
Kasahara K, Masayama R, Okita K, Matubayasi N. Elucidating protein-ligand binding kinetics based on returning probability theory. J Chem Phys 2023;159:134103. [PMID: 37787130 DOI: 10.1063/5.0165692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 09/14/2023] [Indexed: 10/04/2023]  Open
2
Kasahara K, Masayama R, Matsubara Y, Matubayasi N. Constructing a Memory Kernel of the Returning Probability to Efficiently Describe Molecular Binding Processes. CHEM LETT 2022. [DOI: 10.1246/cl.220236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
3
Lee S. Operator algebraic methods in the theory of diffusion‐influenced reaction kinetics. B KOREAN CHEM SOC 2021. [DOI: 10.1002/bkcs.12448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
4
Kasahara K, Masayama R, Okita K, Matubayasi N. Atomistic description of molecular binding processes based on returning probability theory. J Chem Phys 2021;155:204503. [PMID: 34852475 DOI: 10.1063/5.0070308] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]  Open
5
Kasahara K, Sato H. Dynamics theory for molecular liquids based on an interaction site model. Phys Chem Chem Phys 2017;19:27917-27929. [DOI: 10.1039/c7cp05423h] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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