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Takashi Ishida 0002
Person information
- affiliation: Tokyo Institute of Technology, Japan
Other persons with the same name
- Takashi Ishida 0001 — University of Tokyo, Japan
- Takashi Ishida 0003 — ROHM Semiconductor, Yokohama, Japan
- Takashi Ishida 0004 — Takasaki City University of Economics, Takasaki, Gunma, Japan
- Takashi Ishida 0005 — Hokkaido University, Sapporo, Japan
- Takashi Ishida 0006 — Toshiba-Mitsubishi-Electric Industrial Systems Corporation, Tokyo, Japan (and 1 more)
- Takashi Ishida 0007 — University of the Ryukyus, Okinawa, Japan
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2020 – today
- 2023
- [j17]Haruki Yamane, Takashi Ishida:
Helix encoder: a compound-protein interaction prediction model specifically designed for class A GPCRs. Frontiers Bioinform. 3 (2023) - [j16]Jason Kurniawan, Takashi Ishida:
Comparing Supervised Learning and Rigorous Approach for Predicting Protein Stability upon Point Mutations in Difficult Targets. J. Chem. Inf. Model. 63(21): 6778-6788 (2023) - 2021
- [j15]Toshitaka Tanebe, Takashi Ishida:
End-to-end learning for compound activity prediction based on binding pocket information. BMC Bioinform. 22-S(3): 529 (2021) - [j14]Haris Hasic, Takashi Ishida:
Single-Step Retrosynthesis Prediction Based on the Identification of Potential Disconnection Sites Using Molecular Substructure Fingerprints. J. Chem. Inf. Model. 61(2): 641-652 (2021) - 2020
- [j13]Shuichiro Makigaki, Takashi Ishida:
Sequence alignment using machine learning for accurate template-based protein structure prediction. Bioinform. 36(1): 104-111 (2020) - [j12]Kento Aoyama, Masanori Kakuta, Yuri Matsuzaki, Takashi Ishida, Masahito Ohue, Yutaka Akiyama:
Development of Computational Pipeline Software for Genome/Exome Analysis on the K Computer. Supercomput. Front. Innov. 7(1): 37-54 (2020)
2010 – 2019
- 2019
- [c10]Toshitaka Tanebe, Takashi Ishida:
End-to-End Learning Based Compound Activity Prediction Using Binding Pocket Information. ICIC (2) 2019: 226-234 - 2018
- [c9]Shuichiro Makigaki, Takashi Ishida:
Improvement of template-based protein structure prediction by using chimera alignment. ICBBB 2018: 32-37 - [c8]Yusuke Matsuyama, Takashi Ishida:
Stacking Multiple Molecular Fingerprints for Improving Ligand-Based Virtual Screening. ICIC (2) 2018: 279-288 - 2017
- [j11]Keisuke Yanagisawa, Shunta Komine, Shogo D. Suzuki, Masahito Ohue, Takashi Ishida, Yutaka Akiyama:
Spresso: an ultrafast compound pre-screening method based on compound decomposition. Bioinform. 33(23): 3836-3843 (2017) - 2015
- [j10]Shuji Suzuki, Masanori Kakuta, Takashi Ishida, Yutaka Akiyama:
Faster sequence homology searches by clustering subsequences. Bioinform. 31(8): 1183-1190 (2015) - [j9]Takehiro Shimoda, Shuji Suzuki, Masahito Ohue, Takashi Ishida, Yutaka Akiyama:
Protein-protein docking on hardware accelerators: comparison of GPU and MIC architectures. BMC Syst. Biol. 9(S-1): S6 (2015) - 2014
- [j8]Masahito Ohue, Takehiro Shimoda, Shuji Suzuki, Yuri Matsuzaki, Takashi Ishida, Yutaka Akiyama:
MEGADOCK 4.0: an ultra-high-performance protein-protein docking software for heterogeneous supercomputers. Bioinform. 30(22): 3281-3283 (2014) - [j7]Satoshi Matsuoka, Hitoshi Sato, Osamu Tatebe, Michihiro Koibuchi, Ikki Fujiwara, Shuji Suzuki, Masanori Kakuta, Takashi Ishida, Yutaka Akiyama, Toyotaro Suzumura, Koji Ueno, Hiroki Kanezashi, Takemasa Miyoshi:
Extreme Big Data (EBD): Next Generation Big Data Infrastructure Technologies Towards Yottabyte/Year. Supercomput. Front. Innov. 1(2): 89-107 (2014) - [c7]Yuki Komatsu, Takashi Ishida, Yutaka Akiyama:
Metagenomic Phylogenetic Classification Using Improved Naïve Bayes. ICIC (3) 2014: 262-270 - 2013
- [j6]Youhei Namiki, Takashi Ishida, Yutaka Akiyama:
Acceleration of sequence clustering using longest common subsequence filtering. BMC Bioinform. 14(S-8): S7 (2013) - [j5]Matt E. Oates, Pedro Romero, Takashi Ishida, Mohamed F. Ghalwash, Marcin J. Mizianty, Bin Xue, Zsuzsanna Dosztányi, Vladimir N. Uversky, Zoran Obradovic, Lukasz A. Kurgan, A. Keith Dunker, Julian Gough:
D2P2: database of disordered protein predictions. Nucleic Acids Res. 41(Database-Issue): 508-516 (2013) - [j4]Yuri Matsuzaki, Nobuyuki Uchikoga, Masahito Ohue, Takehiro Shimoda, Toshiyuki Sato, Takashi Ishida, Yutaka Akiyama:
MEGADOCK 3.0: a high-performance protein-protein interaction prediction software using hybrid parallel computing for petascale supercomputing environments. Source Code Biol. Medicine 8: 18 (2013) - [c6]Masahito Ohue, Yuri Matsuzaki, Takehiro Shimoda, Takashi Ishida, Yutaka Akiyama:
Improvement of Protein-Protein Interaction Prediction by Integrating Template-Based and Template-Free Protein Docking. BCB 2013: 666 - [c5]Takehiro Shimoda, Masahito Ohue, Yuri Matsuzaki, Takayuki Fujiwara, Nobuyuki Uchikoga, Takashi Ishida, Yutaka Akiyama:
The MEGADOCK project: Ultra-high-speed protein-protein interaction prediction tools on supercomputing environments. BCB 2013: 667 - [c4]Takehiro Shimoda, Takashi Ishida, Shuji Suzuki, Masahito Ohue, Yutaka Akiyama:
MEGADOCK-GPU: Acceleration of Protein-Protein Docking Calculation on GPUs. BCB 2013: 883 - 2012
- [c3]Youhei Namiki, Takashi Ishida, Yutaka Akiyama:
Fast DNA Sequence Clustering Based on Longest Common Subsequence. ICIC (3) 2012: 453-460 - [c2]Masahito Ohue, Yuri Matsuzaki, Takashi Ishida, Yutaka Akiyama:
Improvement of the Protein-Protein Docking Prediction by Introducing a Simple Hydrophobic Interaction Model: An Application to Interaction Pathway Analysis. PRIB 2012: 178-187 - [c1]Shuji Suzuki, Takashi Ishida, Yutaka Akiyama:
An Ultra-Fast Computing Pipeline for Metagenome Analysis with Next-Generation DNA Sequencers. SC Companion 2012: 1549-1550
2000 – 2009
- 2009
- [j3]Miho Higurashi, Takashi Ishida, Kengo Kinoshita:
PiSite: a database of protein interaction sites using multiple binding states in the PDB. Nucleic Acids Res. 37(Database-Issue): 360-364 (2009) - 2008
- [j2]Takashi Ishida, Kengo Kinoshita:
Prediction of disordered regions in proteins based on the meta approach. Bioinform. 24(11): 1344-1348 (2008) - 2007
- [j1]Takashi Ishida, Kengo Kinoshita:
PrDOS: prediction of disordered protein regions from amino acid sequence. Nucleic Acids Res. 35(Web-Server-Issue): 460-464 (2007)
Coauthor Index
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