Keisuke Yanagisawa

Orcid: 0000-0003-0224-0035

According to our database1, Keisuke Yanagisawa authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
QUBO Problem Formulation of Fragment-Based Protein-Ligand Flexible Docking.
Entropy, May, 2024

2023
AAp-MSMD: Amino Acid Preference Mapping on Protein-Protein Interaction Surfaces Using Mixed-Solvent Molecular Dynamics.
J. Chem. Inf. Model., December, 2023

CycPeptMPDB: A Comprehensive Database of Membrane Permeability of Cyclic Peptides.
J. Chem. Inf. Model., April, 2023

2022
Lipid Composition Is Critical for Accurate Membrane Permeability Prediction of Cyclic Peptides by Molecular Dynamics Simulations.
J. Chem. Inf. Model., 2022

Solving Generalized Polyomino Puzzles Using the Ising Model.
Entropy, 2022

Plasma protein binding prediction focusing on residue-level features and circularity of cyclic peptides by deep learning.
Bioinform., 2022

2021
EXPRORER: Rational Cosolvent Set Construction Method for Cosolvent Molecular Dynamics Using Large-Scale Computation.
J. Chem. Inf. Model., 2021

Large-Scale Membrane Permeability Prediction of Cyclic Peptides Crossing a Lipid Bilayer Based on Enhanced Sampling Molecular Dynamics Simulations.
J. Chem. Inf. Model., 2021

2019
Molecular activity prediction using graph convolutional deep neural network considering distance on a molecular graph.
CoRR, 2019

2018
Optimization of memory use of fragment extension-based protein-ligand docking with an original fast minimum cost flow algorithm.
Comput. Biol. Chem., 2018

Computational prediction of plasma protein binding of cyclic peptides from small molecule experimental data using sparse modeling techniques.
BMC Bioinform., 2018

MEGADOCK-Web: an integrated database of high-throughput structure-based protein-protein interaction predictions.
BMC Bioinform., 2018

2017
Spresso: an ultrafast compound pre-screening method based on compound decomposition.
Bioinform., 2017


  Loading...