Takashi Ishida
Orcid: 0000-0002-9478-3223Affiliations:
- Tokyo Institute of Technology, Japan
According to our database1,
Takashi Ishida
authored at least 27 papers
between 2007 and 2023.
Collaborative distances:
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Bibliography
2023
Comparing Supervised Learning and Rigorous Approach for Predicting Protein Stability upon Point Mutations in Difficult Targets.
J. Chem. Inf. Model., November, 2023
Helix encoder: a compound-protein interaction prediction model specifically designed for class A GPCRs.
Frontiers Bioinform., May, 2023
2021
Single-Step Retrosynthesis Prediction Based on the Identification of Potential Disconnection Sites Using Molecular Substructure Fingerprints.
J. Chem. Inf. Model., 2021
End-to-end learning for compound activity prediction based on binding pocket information.
BMC Bioinform., 2021
2020
Development of Computational Pipeline Software for Genome/Exome Analysis on the K Computer.
Supercomput. Front. Innov., 2020
Sequence alignment using machine learning for accurate template-based protein structure prediction.
Bioinform., 2020
2019
End-to-End Learning Based Compound Activity Prediction Using Binding Pocket Information.
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
Stacking Multiple Molecular Fingerprints for Improving Ligand-Based Virtual Screening.
Proceedings of the Intelligent Computing Theories and Application, 2018
Improvement of template-based protein structure prediction by using chimera alignment.
Proceedings of the 8th International Conference on Bioscience, 2018
2017
Bioinform., 2017
2015
Protein-protein docking on hardware accelerators: comparison of GPU and MIC architectures.
BMC Syst. Biol., 2015
2014
Extreme Big Data (EBD): Next Generation Big Data Infrastructure Technologies Towards Yottabyte/Year.
Supercomput. Front. Innov., 2014
MEGADOCK 4.0: an ultra-high-performance protein-protein docking software for heterogeneous supercomputers.
Bioinform., 2014
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014
2013
MEGADOCK 3.0: a high-performance protein-protein interaction prediction software using hybrid parallel computing for petascale supercomputing environments.
Source Code Biol. Medicine, 2013
Nucleic Acids Res., 2013
BMC Bioinform., 2013
The MEGADOCK project: Ultra-high-speed protein-protein interaction prediction tools on supercomputing environments.
Proceedings of the ACM Conference on Bioinformatics, 2013
Proceedings of the ACM Conference on Bioinformatics, 2013
Improvement of Protein-Protein Interaction Prediction by Integrating Template-Based and Template-Free Protein Docking.
Proceedings of the ACM Conference on Bioinformatics, 2013
2012
An Ultra-Fast Computing Pipeline for Metagenome Analysis with Next-Generation DNA Sequencers.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
Improvement of the Protein-Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: An Application to Interaction Pathway Analysis.
Proceedings of the Pattern Recognition in Bioinformatics, 2012
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2012
2009
PiSite: a database of protein interaction sites using multiple binding states in the PDB.
Nucleic Acids Res., 2009
2008
Bioinform., 2008
2007
Nucleic Acids Res., 2007