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Entropy (Basel, Switzerland)
|
March 25, 2022
Solving Generalized Polyomino Puzzles Using the Ising Model
Kazuki Takabatake, Keisuke Yanagisawa, Yutaka Akiyama
Briefings in Bioinformatics
|
August 29, 2024
CycPeptMP: enhancing membrane permeability prediction of cyclic peptides with multi-level molecular features and data augmentation
Jianan Li, Keisuke Yanagisawa, Yutaka Akiyama
Journal of Chemical Information and Modeling
|
June 1, 2021
EXPRORER: Rational Cosolvent Set Construction Method for Cosolvent Molecular Dynamics Using Large-Scale Computation
Keisuke Yanagisawa, Yoshitaka Moriwaki, Tohru Terada, et al.
Entropy (Basel, Switzerland)
|
May 24, 2024
QUBO Problem Formulation of Fragment-Based Protein-Ligand Flexible Docking
Keisuke Yanagisawa, Takuya Fujie, Kazuki Takabatake, et al.
Journal of Chemical Information and Modeling
|
December 12, 2023
AAp-MSMD: Amino Acid Preference Mapping on Protein-Protein Interaction Surfaces Using Mixed-Solvent Molecular Dynamics
Genki Kudo, Keisuke Yanagisawa, Ryunosuke Yoshino, et al.
Journal of Chemical Information and Modeling
|
April 6, 2026
COFFEE-PRESC: A Fast Prescreening Method Using Compound Retrieval by Pairwise Positional Relationship of Representative Fragments
Masayoshi Shimizu, Satoshi Yoneyama, Keisuke Yanagisawa, et al.
International Journal of Molecular Sciences
|
May 14, 2022
Inverse Mixed-Solvent Molecular Dynamics for Visualization of the Residue Interaction Profile of Molecular Probes
Keisuke Yanagisawa, Ryunosuke Yoshino, Genki Kudo, et al.
Computational Biology and Chemistry
|
April 10, 2018
Optimization of memory use of fragment extension-based protein-ligand docking with an original fast minimum cost flow algorithm
Keisuke Yanagisawa, Shunta Komine, Rikuto Kubota, et al.
Bioinformatics (Oxford, England)
|
December 1, 2021
Plasma protein binding prediction focusing on residue-level features and circularity of cyclic peptides by deep learning
Jianan Li, Keisuke Yanagisawa, Yasushi Yoshikawa, et al.
BMC Bioinformatics
|
May 11, 2018
MEGADOCK-Web: an integrated database of high-throughput structure-based protein-protein interaction predictions
Takanori Hayashi, Yuri Matsuzaki, Keisuke Yanagisawa, et al.
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Search research articles
Search
Showing results (1-10 of 21) with videos related to
Sort By:
Page
of 3
Entropy (Basel, Switzerland)
|
March 25, 2022
Solving Generalized Polyomino Puzzles Using the Ising Model
Kazuki Takabatake, Keisuke Yanagisawa, Yutaka Akiyama
Briefings in Bioinformatics
|
August 29, 2024
CycPeptMP: enhancing membrane permeability prediction of cyclic peptides with multi-level molecular features and data augmentation
Jianan Li, Keisuke Yanagisawa, Yutaka Akiyama
Journal of Chemical Information and Modeling
|
June 1, 2021
EXPRORER: Rational Cosolvent Set Construction Method for Cosolvent Molecular Dynamics Using Large-Scale Computation
Keisuke Yanagisawa, Yoshitaka Moriwaki, Tohru Terada, et al.
Entropy (Basel, Switzerland)
|
May 24, 2024
QUBO Problem Formulation of Fragment-Based Protein-Ligand Flexible Docking
Keisuke Yanagisawa, Takuya Fujie, Kazuki Takabatake, et al.
Journal of Chemical Information and Modeling
|
December 12, 2023
AAp-MSMD: Amino Acid Preference Mapping on Protein-Protein Interaction Surfaces Using Mixed-Solvent Molecular Dynamics
Genki Kudo, Keisuke Yanagisawa, Ryunosuke Yoshino, et al.
Journal of Chemical Information and Modeling
|
April 6, 2026
COFFEE-PRESC: A Fast Prescreening Method Using Compound Retrieval by Pairwise Positional Relationship of Representative Fragments
Masayoshi Shimizu, Satoshi Yoneyama, Keisuke Yanagisawa, et al.
International Journal of Molecular Sciences
|
May 14, 2022
Inverse Mixed-Solvent Molecular Dynamics for Visualization of the Residue Interaction Profile of Molecular Probes
Keisuke Yanagisawa, Ryunosuke Yoshino, Genki Kudo, et al.
Computational Biology and Chemistry
|
April 10, 2018
Optimization of memory use of fragment extension-based protein-ligand docking with an original fast minimum cost flow algorithm
Keisuke Yanagisawa, Shunta Komine, Rikuto Kubota, et al.
Bioinformatics (Oxford, England)
|
December 1, 2021
Plasma protein binding prediction focusing on residue-level features and circularity of cyclic peptides by deep learning
Jianan Li, Keisuke Yanagisawa, Yasushi Yoshikawa, et al.
BMC Bioinformatics
|
May 11, 2018
MEGADOCK-Web: an integrated database of high-throughput structure-based protein-protein interaction predictions
Takanori Hayashi, Yuri Matsuzaki, Keisuke Yanagisawa, et al.
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