Masaaki Kotera
Masaaki Kotera
Preferred Networks Inc., | Tokyo Medical and Dental University | University of Tokyo
Verified email at - Homepage
Cited by
Cited by
Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework
Y Yamanishi, M Kotera, M Kanehisa, S Goto
Bioinformatics 26 (12), i246-i254, 2010
PathPred: an enzyme-catalyzed metabolic pathway prediction server
Y Moriya, D Shigemizu, M Hattori, T Tokimatsu, M Kotera, S Goto, ...
Nucleic acids research 38 (suppl_2), W138-W143, 2010
Computational assignment of the EC numbers for genomic-scale analysis of enzymatic reactions
M Kotera, Y Okuno, M Hattori, S Goto, M Kanehisa
Journal of the American Chemical Society 126 (50), 16487-16498, 2004
Drug side-effect prediction based on the integration of chemical and biological spaces
Y Yamanishi, E Pauwels, M Kotera
Journal of chemical information and modeling 52 (12), 3284-3292, 2012
Drug target prediction using adverse event report systems: a pharmacogenomic approach
M Takarabe, M Kotera, Y Nishimura, S Goto, Y Yamanishi
Bioinformatics 28 (18), i611-i618, 2012
DINIES: drug–target interaction network inference engine based on supervised analysis
Y Yamanishi, M Kotera, Y Moriya, R Sawada, M Kanehisa, S Goto
Nucleic acids research 42 (W1), W39-W45, 2014
The KEGG databases and tools facilitating omics analysis: latest developments involving human diseases and pharmaceuticals
M Kotera, M Hirakawa, T Tokimatsu, S Goto, M Kanehisa
Next Generation Microarray Bioinformatics: Methods and Protocols, 19-39, 2012
E-zyme: predicting potential EC numbers from the chemical transformation pattern of substrate-product pairs
Y Yamanishi, M Hattori, M Kotera, S Goto, M Kanehisa
Bioinformatics 25 (12), i179-i186, 2009
Modular architecture of metabolic pathways revealed by conserved sequences of reactions
A Muto, M Kotera, T Tokimatsu, Z Nakagawa, S Goto, M Kanehisa
Journal of chemical information and modeling 53 (3), 613-622, 2013
WURCS: the Web3 unique representation of carbohydrate structures
K Tanaka, KF Aoki-Kinoshita, M Kotera, H Sawaki, S Tsuchiya, N Fujita, ...
Journal of chemical information and modeling 54 (6), 1558-1566, 2014
Network-based analysis and characterization of adverse drug–drug interactions
M Takarabe, D Shigemizu, M Kotera, S Goto, M Kanehisa
Journal of chemical information and modeling 51 (11), 2977-2985, 2011
BioHackathon series in 2011 and 2012: penetration of ontology and linked data in life science domains
T Katayama, MD Wilkinson, KF Aoki-Kinoshita, S Kawashima, ...
Journal of biomedical semantics 5, 1-13, 2014
Elucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomics
M Iwata, R Sawada, H Iwata, M Kotera, Y Yamanishi
Scientific reports 7 (1), 40164, 2017
Benchmarking a Wide Range of Chemical Descriptors for Drug‐Target Interaction Prediction Using a Chemogenomic Approach
R Sawada, M Kotera, Y Yamanishi
Molecular informatics 33 (11‐12), 719-731, 2014
RPAIR: a reactant-pair database representing chemical changes in enzymatic reactions
M Kotera, M Hattori, MA Oh, R Yamamoto, T Komeno, J Yabuzaki, ...
Genome Informatics 15 (1), P062, 2004
Comparison and improvement of the predictability and interpretability with ensemble learning models in QSPR applications
CH Chen, K Tanaka, M Kotera, K Funatsu
Journal of cheminformatics 12, 1-16, 2020
Maize phosphoenolpyruvate carboxylase: mutations at the putative binding site for glucose 6-phosphate caused desensitization and abolished responsiveness to regulatory …
A Takahashi-Terada, M Kotera, K Ohshima, T Furumoto, H Matsumura, ...
Journal of Biological Chemistry 280 (12), 11798-11806, 2005
GENIES: gene network inference engine based on supervised analysis
M Kotera, Y Yamanishi, Y Moriya, M Kanehisa, S Goto
Nucleic acids research 40 (W1), W162-W167, 2012
De novo design of anticancer peptides by ensemble artificial neural networks
F Grisoni, CS Neuhaus, M Hishinuma, G Gabernet, JA Hiss, M Kotera, ...
Journal of Molecular Modeling 25, 1-10, 2019
Supervised de novo reconstruction of metabolic pathways from metabolome-scale compound sets
M Kotera, Y Tabei, Y Yamanishi, T Tokimatsu, S Goto
Bioinformatics 29 (13), i135-i144, 2013
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