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Kentaro Tomii

Showing results (11-20 of 81) with videos related to

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Biophysics and Physicobiology|December 8, 2016
Effects of the difference in similarity measures on the comparison of ligand-binding pockets using a reduced vector representation of pocketsTsukasa Nakamura, Kentaro Tomii
Biophysical Reviews|March 14, 2020
Neural networks for protein structure and function prediction and dynamic analysisYuko Tsuchiya, Kentaro Tomii
Biophysical Reviews|December 26, 2022
Protein-protein interaction prediction methods: from docking-based to AI-based approachesYuko Tsuchiya, Yu Yamamori, Kentaro Tomii
BMC Bioinformatics|June 6, 2017
Simple adjustment of the sequence weight algorithm remarkably enhances PSI-BLAST performanceToshiyuki Oda, Kyungtaek Lim, Kentaro Tomii
Bioinformatics (Oxford, England)|July 9, 2018
Compound-protein interaction prediction with end-to-end learning of neural networks for graphs and sequencesMasashi Tsubaki, Kentaro Tomii, Jun Sese
BMC Bioinformatics|January 17, 2012
Convergent evolution in structural elements of proteins investigated using cross profile analysisKentaro Tomii, Yoshito Sawada, Shinya Honda
Proteins|September 28, 2005
Protein structure prediction using a variety of profile libraries and 3D verificationKentaro Tomii, Takatsugu Hirokawa, Chie Motono
Plos One|August 6, 2024
Protein ligand binding site prediction using graph transformer neural networkRyuichiro Ishitani, Mizuki Takemoto, Kentaro Tomii
Genes|November 6, 2019
Genome-Wide Analysis of Known and Potential Tetraspanins in <i>Entamoeba histolytica</i>Kentaro Tomii, Herbert J Santos, Tomoyoshi Nozaki
Bioinformatics (Oxford, England)|July 6, 2016
Application of the MAFFT sequence alignment program to large data-reexamination of the usefulness of chained guide treesKazunori D Yamada, Kentaro Tomii, Kazutaka Katoh
Pageof 9

Showing results (11-20 of 81) with videos related to

Sort By:
Pageof 9
Biophysics and Physicobiology|December 8, 2016
Effects of the difference in similarity measures on the comparison of ligand-binding pockets using a reduced vector representation of pocketsTsukasa Nakamura, Kentaro Tomii
Biophysical Reviews|March 14, 2020
Neural networks for protein structure and function prediction and dynamic analysisYuko Tsuchiya, Kentaro Tomii
Biophysical Reviews|December 26, 2022
Protein-protein interaction prediction methods: from docking-based to AI-based approachesYuko Tsuchiya, Yu Yamamori, Kentaro Tomii
BMC Bioinformatics|June 6, 2017
Simple adjustment of the sequence weight algorithm remarkably enhances PSI-BLAST performanceToshiyuki Oda, Kyungtaek Lim, Kentaro Tomii
Bioinformatics (Oxford, England)|July 9, 2018
Compound-protein interaction prediction with end-to-end learning of neural networks for graphs and sequencesMasashi Tsubaki, Kentaro Tomii, Jun Sese
BMC Bioinformatics|January 17, 2012
Convergent evolution in structural elements of proteins investigated using cross profile analysisKentaro Tomii, Yoshito Sawada, Shinya Honda
Proteins|September 28, 2005
Protein structure prediction using a variety of profile libraries and 3D verificationKentaro Tomii, Takatsugu Hirokawa, Chie Motono
Plos One|August 6, 2024
Protein ligand binding site prediction using graph transformer neural networkRyuichiro Ishitani, Mizuki Takemoto, Kentaro Tomii
Genes|November 6, 2019
Genome-Wide Analysis of Known and Potential Tetraspanins in <i>Entamoeba histolytica</i>Kentaro Tomii, Herbert J Santos, Tomoyoshi Nozaki
Bioinformatics (Oxford, England)|July 6, 2016
Application of the MAFFT sequence alignment program to large data-reexamination of the usefulness of chained guide treesKazunori D Yamada, Kentaro Tomii, Kazutaka Katoh
Pageof 9