Masakazu Sekijima - researchr alias

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Viewing Publication 1 - 19 from 19

2022

An Improved Model for Predicting Compound Retrosynthesizability Using Machine LearningMami Ozawa, Nobuaki Yasuo, Masakazu Sekijima. bibe 2022: 210-216 [doi]

Screening for Inhibitors of Main Protease in SARS-CoV-2: In Silico and In Vitro Approach Avoiding Peptidyl Secondary AmidesKazuki Z. Yamamoto, Nobuaki Yasuo, Masakazu Sekijima. jcisd, 62(2):350-358, 2022. [doi]

2021

MERMAID: an open source automated hit-to-lead method based on deep reinforcement learningDaiki Erikawa, Nobuaki Yasuo, Masakazu Sekijima. jcheminf, 13(1):94, 2021. [doi]

2020

ProAffiMuSeq: sequence-based method to predict the binding free energy change of protein-protein complexes upon mutation using functional classificationSherlyn Jemimah, Masakazu Sekijima, M. Michael Gromiha. bioinformatics, 36(6):1725-1730, 2020. [doi]

2019

Improved Method of Structure-Based Virtual Screening via Interaction-Energy-Based LearningNobuaki Yasuo, Masakazu Sekijima. jcisd, 59(3):1050-1061, 2019. [doi]

2018

2016

Highlights from the 11th ISCB Student Council Symposium 2015: Dublin, Ireland. 10 July 2015Katie Wilkins, Mehedi Hassan, Margherita Francescatto, Jakob B. Jespersen, R. Gonzalo Parra, Bart Cuypers, Dan F. DeBlasio, Alexander Junge, Anupama Jigisha, Farzana Rahman, Griet Laenen, Sander Willems, Lieven Thorrez, Yves Moreau, Nagarajan Raju, Sonia P. Chothani, C. Ramakrishnan, Masakazu Sekijima, M. Michael Gromiha, Paddy J. Slator, Nigel J. Burroughs, Przemyslaw Szalaj, Zhonghui Tang, Paul J. Michalski, Oskar Luo, Xingwang Li, Yijun Ruan, Dariusz Plewczynski, Giulia Fiscon, Emanuel Weitschek, Massimo Ciccozzi, Paola Bertolazzi, Giovanni Felici, Pieter Meysman, Manu Vanaerschot, Maya Berg, Hideo Imamura, Jean-Claude Dujardin, Kris Laukens, Westa Domanova, James R. Krycer, Rima Chaudhuri, Pengyi Yang, Fatemeh Vafaee, Daniel J. Fazakerley, Sean J. Humphrey, David E. James, Zdenka Kuncic. bmcbi, 17(S-3), February 2016. [doi]

2015

GPU Accelerated Molecular Dynamics with Method of Heterogeneous Load BalancingTakuro Udagawa, Masakazu Sekijima. ipps 2015: 1008-1013 [doi]

2011

The Power Efficiency of GPUs in Multi Nodes Environment with Molecular DynamicsTakuro Udagawa, Masakazu Sekijima. icppw 2011: 399-405 [doi]

2008

Large-Scale Computing for Protein-Protein Binding Free Energy CalculationJunichi Ikeda, Kazuki Ohno, Sayaka Akioka, Masaya Orita, Yoichi Muraoka, Tamotsu Noguchi, Masakazu Sekijima. pdpta 2008: 771-775

2007

High-Density Surface Reconstruction of Fine Arts and Documents for Complete Reproduction and Counterfeit DetectionJunta Doi, Kentaro Shimizu, Masakazu Sekijima. icnsc 2007: 392-397 [doi]

Development of Molecular Dynamics Simulation Based Flexible Docking SystemSachi Kimura, Masakazu Sekijima, Masami Takata, Tamotsu Noguchi, Kazuki Joe. pdpta 2007: 739-745

Development of an SVM based Prediction System for Metalbinding Sites in ProteinMasami Nakazawa, Masami Takata, Kiyonobu Yokota, Tamotsu Noguchi, Masakazu Sekijima, Kazuki Joe. pdpta 2007: 972-978

Optimization of Molecular Dynamics Simulation on Cell ProcessorManami Sasaki, Masakazu Sekijima, Masami Takata, Kazuki Joe. pdpta 2007: 780-786

Optimization and evaluation of parallel molecular dynamics simulation on blue gene/LMasakazu Sekijima, Junta Doi, Tamotsu Noguchi, Yutaka Akiyama, S. Shimizu. pdcn 2007: 242-247

2003

Molecular Dynamics Simulation of Prion Protein by Large Scale Cluster ComputingMasakazu Sekijima, Chie Motono, Satoshi Yamasaki, Kiyotoshi Kaneko, Yutaka Akiyama. ishpc 2003: 476-485 [doi]

2002

Automatic Improvement of Scheduling Policies in Parsley Parallel Programming EnvironmentMasakazu Sekijima, Shinya Takasaki, Shugo Nakamura, Kentaro Shimizu. pdcs 2002: 375-380

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