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Kensaku Sakamoto
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2020 – today
- 2021
- [j3]Aditya K. Padhi
, Ashutosh Kumar, Ken-ichi Haruna, Haruna Sato, Hiroko Tamura, Satoru Nagatoishi, Kouhei Tsumoto, Atushi Yamaguchi, Fumie Iraha, Mihoko Takahashi, Kensaku Sakamoto, Kam Y. J. Zhang:
An integrated computational pipeline for designing high-affinity nanobodies with expanded genetic codes. Briefings Bioinform. 22(6) (2021)
2000 – 2009
- 2009
- [c8]Hiroshi Someya, Kensaku Sakamoto, Masayuki Yamamura:
Biologically-implemented genetic algorithm for protein engineering. GECCO 2009: 233-240 - 2005
- [j2]Atsushi Kameda, Masahito Yamamoto, Hiroki Uejima, Masami Hagiya, Kensaku Sakamoto, Azuma Ohuchi:
Hairpin-based state machine and conformational addressing: Design and experiment. Nat. Comput. 4(2): 103-126 (2005) - [c7]Hirotaka Nakagawa, Kensaku Sakamoto, Yasubumi Sakakibara:
Development of an In Vivo Computer Based on Escherichia coli. DNA 2005: 203-212 - 2004
- [c6]Kensaku Sakamoto, Masayuki Yamamura, Hiroshi Someya:
Toward "Wet" Implementation of Genetic Algorithm for Protein Engineering. DNA 2004: 308-318 - 2003
- [c5]Mitsuhiro Kubota, Kazumasa Ohtake, Ken Komiya
Branching DNA machines based on transitions of hairpin structures. IEEE Congress on Evolutionary Computation 2003: 2542-2548 - [c4]Atsushi Kameda, Masahito Yamamoto, Hiroki Uejima, Masami Hagiya, Kensaku Sakamoto, Azuma Ohuchi:
Conformational Addressing Using the Hairpin Structure of Single-Strand DNA. DNA 2003: 219-223 - 2002
- [j1]Masami Hagiya, John A. Rose, Ken Komiya
Complexity analysis of the SAT engine: DNA algorithms as probabilistic algorithms. Theor. Comput. Sci. 287(1): 59-71 (2002) - 2000
- [c3]Ken Komiya
Successive State Transitions with I/O Interface by Molecules. DNA Computing 2000: 17-26 - [c2]Masanori Arita, Akio Nishikawa, Masami Hagiya, Ken Komiya, Hidetaka Gouzu, Kensaku Sakamoto:
Improving Sequence Design for DNA Computing. GECCO 2000: 875-882
1990 – 1999
- 1997
- [c1]Masami Hagiya, Masanori Arita, Daisuke Kiga, Kensaku Sakamoto, Shigeyuki Yokoyama:
Towards parallel evaluation and learning of Boolean μ-formulas with molecules. DNA Based Computers 1997: 57-72
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