Kazuhiro Takemoto

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Tatsuya AkutsuProfessor, Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityVerified email at kuicr.kyoto-u.ac.jp
Jiangning (John) SongAssociate Professor, Biomedicine Discovery Institute and Data Futures Institute, Monash UniversityVerified email at monash.edu
Takeyuki TamuraAssociate Professor, Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityVerified email at kuicr.kyoto-u.ac.jp
Hideto TakamiProject Researcher, Atmosphere and Ocean Research Institute, The University of TokyoVerified email at g.ecc.u-tokyo.ac.jp
Moriya YukiDatabase Center for Life ScienceVerified email at dbcls.rois.ac.jp
Susumu GotoDatabase Center for Life Science, Research Organization of Information and SystemsVerified email at dbcls.rois.ac.jp
Wenfeng FengAssociate Professor of Computer Science, Henan Polytechnic University, ChinaVerified email at hpu.edu.cn
Fuyi LiProfessor, College of Information Engineering, Northwest A&F UniversityVerified email at nwafu.edu.cn
Geoff WebbProfessor of Information Technology Research, Monash UniversityVerified email at monash.edu
Kuo-Chen ChouGordon Life Science Institute, USAVerified email at gordonlifescience.org
Gholamreza (Reza) HaffariAssociate Professor, Faculty of Information Technology, Monash UniversityVerified email at monash.edu
Hideki TaguchiTokyo Institute of TechnologyVerified email at bio.titech.ac.jp
Yasuo TabeiUnit leader at RIKEN-AIPVerified email at riken.go.jp
Yoshihiro YamanishiKyushu Institute of TechnologyVerified email at bio.kyutech.ac.jp
Edouard PauwelsIRIT, Université Toulouse 3 Paul SabatierVerified email at irit.fr
Masanori Arita, 有田正規Professor, National Institute of GeneticsVerified email at nig.ac.jp
Xing-Ming ZhaoFudan UniversityVerified email at fudan.edu.cn
Hiroyuki OgataInstitute for Chemical Research, Kyoto UniversityVerified email at kuicr.kyoto-u.ac.jp
Motonori OtaNagoya UniversityVerified email at i.nagoya-u.ac.jp
Shintaro MinamiInstitutes of Molecular ScienceVerified email at ims.ac.jp

Kazuhiro Takemoto

Kyushu Institute of Technology

Verified email at bio.kyutech.ac.jp - Homepage

Network Science Machine Learning Security Integrative Biology Bioinformatics


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PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework J Song, F Li, K Takemoto, G Haffari, T Akutsu, KC Chou, GI Webb Journal of theoretical biology 443, 125-137, 2018	117	2018
Identification of chemogenomic features from drug–target interaction networks using interpretable classifiers Y Tabei, E Pauwels, V Stoven, K Takemoto, Y Yamanishi Bioinformatics 28 (18), i487-i494, 2012	84	2012
Difficulty in inferring microbial community structure based on co-occurrence network approaches H Hirano, K Takemoto BMC bioinformatics 20 (1), 1-14, 2019	75	2019
HSEpred: predict half-sphere exposure from protein sequences J Song, H Tan, K Takemoto, T Akutsu Bioinformatics 24 (13), 1489-1497, 2008	57	2008
An automated system for evaluation of the potential functionome: MAPLE version 2.1. 0 H Takami, T Taniguchi, W Arai, K Takemoto, Y Moriya, S Goto Dna Research 23 (5), 467-475, 2016	56	2016
FunSAV: predicting the functional effect of single amino acid variants using a two-stage random forest model M Wang, XM Zhao, K Takemoto, H Xu, Y Li, T Akutsu, J Song Public Library of Science 7 (8), e43847, 2012	46	2012
Correlation between structure and temperature in prokaryotic metabolic networks K Takemoto, JC Nacher, T Akutsu BMC bioinformatics 8 (1), 1-11, 2007	45	2007
Heterogeneity in ecological mutualistic networks dominantly determines community stability W Feng, K Takemoto Scientific reports 4 (1), 1-11, 2014	44	2014
MAPLE 2.3. 0: an improved system for evaluating the functionomes of genomes and metagenomes W Arai, T Taniguchi, S Goto, Y Moriya, H Uehara, K Takemoto, H Ogata, ... Bioscience, biotechnology, and biochemistry 82 (9), 1515-1517, 2018	39	2018
Evolving networks by merging cliques K Takemoto, C Oosawa Physical Review E 72 (4), 046116, 2005	36	2005
Universal adversarial attacks on deep neural networks for medical image classification H Hirano, A Minagi, K Takemoto BMC medical imaging 21 (1), 1-13, 2021	31	2021
An integrative computational framework based on a two-step random forest algorithm improves prediction of zinc-binding sites in proteins C Zheng, M Wang, K Takemoto, T Akutsu, Z Zhang, J Song PLoS One 7 (11), e49716, 2012	31	2012
Modeling for evolving biological networks with scale-free connectivity, hierarchical modularity, and disassortativity K Takemoto, C Oosawa Mathematical biosciences 208 (2), 454-468, 2007	28	2007
Global COVID-19 transmission rate is influenced by precipitation seasonality and the speed of climate temperature warming K Chiyomaru, K Takemoto MedRxiv, 2020	27	2020
Finding minimum reaction cuts of metabolic networks under a boolean model using integer programming and feedback vertex sets T Tamura, K Takemoto, T Akutsu International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 1 (1 …, 2010	26	2010
Large-scale aggregation analysis of eukaryotic proteins reveals an involvement of intrinsically disordered regions in protein folding E Uemura, T Niwa, S Minami, K Takemoto, S Fukuchi, K Machida, ... Scientific reports 8 (1), 1-11, 2018	24	2018
Climatic seasonality may affect ecological network structure: Food webs and mutualistic networks K Takemoto, S Kanamaru, W Feng Biosystems 121, 29-37, 2014	24	2014
Introduction to complex networks: measures, statistical properties, and models K TAkEMOTO, C Oosawa Statistical and machine learning approaches for network analysis, 45-75, 2012	24	2012
Human impacts and climate change influence nestedness and modularity in food-web and mutualistic networks K Takemoto, K Kajihara PLoS One 11 (6), e0157929, 2016	23	2016
Structure of n-clique networks embedded in a complex network K Takemoto, C Oosawa, T Akutsu Physica A: Statistical Mechanics and its Applications 380, 665-672, 2007	23	2007

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