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Yoshiya J. Matsubara
Yoshiya J. Matsubara
Simons Fellow (NCBS)
Verified email at ncbs.res.in
Title
Cited by
Cited by
Year
Self-reproduction and Darwinian evolution in autocatalytic chemical reaction systems
S Ameta, YJ Matsubara, N Chakraborty, S Krishna, S Thutupalli
Life 11 (4), 308, 2021
292021
Optimal size for emergence of self-replicating polymer system
YJ Matsubara, K Kaneko
Physical Review E 93 (3), 032503, 2016
152016
RNA diversification by a self-reproducing ribozyme revealed by deep sequencing and kinetic modelling
C Jeancolas, YJ Matsubara, M Vybornyi, CN Lambert, A Blokhuis, T Alline, ...
Chemical Communications 57 (61), 7517-7520, 2021
132021
Kinetic selection of template polymer with complex sequences
YJ Matsubara, K Kaneko
Physical review letters 121 (11), 118101, 2018
132018
Multispecies autocatalytic RNA reaction networks in coacervates
S Ameta, M Kumar, N Chakraborty, YJ Matsubara, D Gandavadi, ...
Communications Chemistry 6 (1), 91, 2023
112023
Horizontal transfer between loose compartments stabilizes replication of fragmented ribozymes
A Kamimura, YJ Matsubara, K Kaneko, N Takeuchi
PLOS Computational Biology 15 (6), e1007094, 2019
52019
Robustness of compositional heredity to the growth and division dynamics of prebiotic compartments
YJ Matsubara, S Ameta, S Thutupalli, P Nghe, S Krishna
arXiv preprint arXiv:2211.03155, 2022
22022
Avoidance of error catastrophe via proofreading innate to template-directed polymerization
YJ Matsubara, N Takeuchi, K Kaneko
Physical Review Research 5 (1), 013170, 2023
12023
Optimal system size for emergence of self-replicating polymer system
YJ Matsubara, K Kaneko
arXiv preprint arXiv 1509, 2015
12015
Error Catastrophe Can Be Avoided by Proofreading Innate to Template-Directed Polymerization
YJ Matsubara, N Takeuchi, K Kaneko
arXiv preprint arXiv:2108.09961, 2021
2021
Emergence and Selection of Self-replicating Polymer System for the Origins of Life
Y Matsubara
東京大学, 2019
2019
Electronic Supplementary Information RNA diversification by a self-reproducing ribozyme revealed by deep sequencing and kinetic modelling
C Jeancolas, YJ Matsubara, M Vyborniy, CN Lambert, A Blokhuis, T Alline, ...
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