Yuri Matsuzaki

发表

Development of Exome Analysis Pipeline on the K Computer

Masanori Kakuta, T. Ishida, Y. Akiyama, 2016 .

Evaluation of CONSRANK-Like Scoring Functions for Rescoring Ensembles of Protein–Protein Docking Poses

Takanori Hayashi, Juliette Martin, G. Launay, 2020, Frontiers in Molecular Biosciences.

MEGADOCK: An All-to-All Protein-Protein Interaction Prediction System Using Tertiary Structure Data

Yuri Matsuzaki, Takashi Ishida, Yutaka Akiyama, 2013, Protein and peptide letters.

Specificity of broad protein interaction surfaces for proteins with multiple binding partners

Y. Akiyama, M. Ohue, Yuri Matsuzaki, 2016, Biophysics and physicobiology.

Proposal of an all-to-all protein-protein interaction prediction technique using clustering and re-ranking based on energy calculations

Y. Akiyama, M. Ohue, Toshiyuki Sato, 2010 .

A Model Library of Bacterial Chemotaxis on E-Cell System

Yuri Matsuzaki, 2013 .

Protein-protein Interaction Network Prediction by Using Rigid-Body Docking Tools: Application to Bacterial Chemotaxis

Yuri Matsuzaki, Yutaka Akiyama, Masahito Ohue, 2013, Protein and peptide letters.

A global metagenomic map of urban microbiomes and antimicrobial resistance

Stephanie L. Hyland, Nora C. Toussaint, Paweł P. Łabaj, 2021, Cell.

E-CELL: software environment for whole-cell simulation

Masaru Tomita, Koichi Takahashi, Yuri Matsuzaki, 1999, Bioinform..

Rigid-Docking Approaches to Explore Protein-Protein Interaction Space.

Yuri Matsuzaki, Yutaka Akiyama, Masahito Ohue, 2017, Advances in biochemical engineering/biotechnology.

Community-wide assessment of protein-interface modeling suggests improvements to design methodology.

Kengo Kinoshita, Haruki Nakamura, Genki Terashi, 2011, Journal of molecular biology.

Rescoring ensembles of protein-protein docking poses using consensus approaches

Yuri Matsuzaki, Takanori Hayashi, Juliette Martin, 2020, bioRxiv.

Robust effects of Tsr-CheBp and CheA-CheYp affinity in bacterial chemotaxis

Masaru Tomita, Yuri Matsuzaki, Shinichi Kikuchi, 2007, Artif. Intell. Medicine.

MEGADOCK-Web: an integrated database of high-throughput structure-based protein-protein interaction predictions

Takanori Hayashi, Yuri Matsuzaki, Yutaka Akiyama, 2018, BMC Bioinformatics.

Rigid Docking Based Protein-Protein Interaction Prediction using High Scoring Docking Models

Yuri Matsuzaki, Jaak Simm, J. Simm, 2016 .

MEGADOCK 4.0: an ultra–high-performance protein–protein docking software for heterogeneous supercomputers

Yuri Matsuzaki, Takashi Ishida, Shuji Suzuki, 2014, Bioinform..

In silico Screening of protein-protein Interactions with All-to-All Rigid docking and Clustering: an Application to Pathway Analysis

Toshiyuki Sato, Yuri Matsuzaki, Yutaka Akiyama, 2009, J. Bioinform. Comput. Biol..

Micromechanics and Material Damping Analysis of an Intraply Hybrid Composite Lamina

Yuri Matsuzaki, V. Baburaj, 1993 .

E-CELL: software environment for whole-cell simulation

J. Venter, C. Hutchison, M. Tomita, 1999, Bioinform..

Development of Computational Pipeline Software for Genome/Exome Analysis on the K Computer

Takashi Ishida, Yuri Matsuzaki, Yutaka Akiyama, 2020, Supercomput. Front. Innov..

Highly precise protein-protein interaction prediction based on consensus between template-based and de novo docking methods

Yuri Matsuzaki, Takashi Ishida, Yutaka Akiyama, 2013, BMC Proceedings.

Improvement of the Protein-Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: An Application to Interaction Pathway Analysis

Yuri Matsuzaki, Takashi Ishida, Yutaka Akiyama, 2012, PRIB.

MEGADOCK 3.0: a high-performance protein-protein interaction prediction software using hybrid parallel computing for petascale supercomputing environments

Toshiyuki Sato, Yuri Matsuzaki, Takashi Ishida, 2013, Source Code for Biology and Medicine.