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Akira R Kinjo

Showing results (1-10 of 52) with videos related to

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Biophysics and Physicobiology|December 8, 2016
A unified statistical model of protein multiple sequence alignment integrating direct coupling and insertionsAkira R Kinjo
Biophysics and Physicobiology|August 23, 2017
Monte Carlo simulation of a statistical mechanical model of multiple protein sequence alignmentAkira R Kinjo
Biophysics and Physicobiology|August 6, 2016
Liquid-theory analogy of direct-coupling analysis of multiple-sequence alignment and its implications for protein structure predictionAkira R Kinjo
Journal of Theoretical Biology|January 23, 2018
Cooperative "folding transition" in the sequence space facilitates function-driven evolution of protein familiesAkira R Kinjo
Tanpakushitsu Kakusan Koso. Protein, Nucleic Acid, Enzyme|January 19, 2007
[Protein secondary structure prediction]Akira R Kinjo
Biophysics (Nagoya-Shi, Japan)|November 19, 2016
Profile conditional random fields for modeling protein families with structural informationAkira R Kinjo
Journal of Molecular Biology|April 27, 2010
Geometric similarities of protein-protein interfaces at atomic resolution are only observed within homologous families: an exhaustive structural classification studyAkira R Kinjo, Haruki Nakamura
BMC Bioinformatics|September 6, 2006
CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networksAkira R Kinjo, Ken Nishikawa
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 9, 2002
Effects of macromolecular crowding on protein folding and aggregation studied by density functional theory: staticsAkira R Kinjo, Shoji Takada
Bioinformatics (Oxford, England)|February 22, 2005
Recoverable one-dimensional encoding of three-dimensional protein structuresAkira R Kinjo, Ken Nishikawa
Pageof 6

Showing results (1-10 of 52) with videos related to

Sort By:
Pageof 6
Biophysics and Physicobiology|December 8, 2016
A unified statistical model of protein multiple sequence alignment integrating direct coupling and insertionsAkira R Kinjo
Biophysics and Physicobiology|August 23, 2017
Monte Carlo simulation of a statistical mechanical model of multiple protein sequence alignmentAkira R Kinjo
Biophysics and Physicobiology|August 6, 2016
Liquid-theory analogy of direct-coupling analysis of multiple-sequence alignment and its implications for protein structure predictionAkira R Kinjo
Journal of Theoretical Biology|January 23, 2018
Cooperative "folding transition" in the sequence space facilitates function-driven evolution of protein familiesAkira R Kinjo
Tanpakushitsu Kakusan Koso. Protein, Nucleic Acid, Enzyme|January 19, 2007
[Protein secondary structure prediction]Akira R Kinjo
Biophysics (Nagoya-Shi, Japan)|November 19, 2016
Profile conditional random fields for modeling protein families with structural informationAkira R Kinjo
Journal of Molecular Biology|April 27, 2010
Geometric similarities of protein-protein interfaces at atomic resolution are only observed within homologous families: an exhaustive structural classification studyAkira R Kinjo, Haruki Nakamura
BMC Bioinformatics|September 6, 2006
CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networksAkira R Kinjo, Ken Nishikawa
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 9, 2002
Effects of macromolecular crowding on protein folding and aggregation studied by density functional theory: staticsAkira R Kinjo, Shoji Takada
Bioinformatics (Oxford, England)|February 22, 2005
Recoverable one-dimensional encoding of three-dimensional protein structuresAkira R Kinjo, Ken Nishikawa
Pageof 6