Masaaki Kotera

发表

Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework

Yoshihiro Yamanishi, Susumu Goto, Masaaki Kotera, 2010, Bioinform..

The KEGG databases and tools facilitating omics analysis: latest developments involving human diseases and pharmaceuticals.

M. Kanehisa, S. Goto, Masaaki Kotera, 2012, Methods in molecular biology.

Computational assignment of the EC numbers for genomic-scale analysis of enzymatic reactions.

M. Kanehisa, S. Goto, Y. Okuno, 2004, Journal of the American Chemical Society.

Functional Group and Substructure Searching as a Tool in Metabolomics

Masaaki Kotera, A. McDonald, K. Tipton, 2008, PloS one.

Predictive genomic and metabolomic analysis for the standardization of enzyme data

M. Kanehisa, S. Goto, Masaaki Kotera, 2014 .

Benchmarking a Wide Range of Chemical Descriptors for Drug‐Target Interaction Prediction Using a Chemogenomic Approach

Yoshihiro Yamanishi, Masaaki Kotera, Ryusuke Sawada, 2014, Molecular informatics.

Data integration aids understanding of butterfly–host plant networks

S. Kanaya, Masaaki Kotera, T. Tokimatsu, 2017, Scientific Reports.

Metabolome-scale Prediction of Intermediate Compounds in Multistep Metabolic Pathways with a Recursive Supervised Approach

Susumu Goto, Masaaki Kotera, S. Goto, 2015 .

Chemical Continuity of Reaction Centers Along Successive Metabolic Reactions

M. Kanehisa, S. Goto, M. Hattori, 2009 .

E-zyme: predicting potential EC numbers from the chemical transformation pattern of substrate-product pairs

Yoshihiro Yamanishi, Susumu Goto, Masaaki Kotera, 2009, Bioinform..

Metabolic pathway reconstruction strategies for central metabolism and natural product biosynthesis

Susumu Goto, Masaaki Kotera, S. Goto, 2016, Biophysics and physicobiology.

KEGG and GenomeNet Resources for Predicting Protein Function from Omics Data Including KEGG PLANT Resource

Susumu Goto, Masaaki Kotera, Minoru Kanehisa, 2011 .

Chemoinformatics on Metabolic Pathways: Attaching Biochemical Information on Putative Enzymatic Reactions

Masaaki Kotera, Masahiro Hattori, M. Hattori, 2011 .

De novo design of anticancer peptides by ensemble artificial neural networks

Claudia S Neuhaus, G. Schneider, Masaaki Kotera, 2019, Journal of Molecular Modeling.

Novel Electrotopological Atomic Descriptors for the Prediction of Xenobiotic Cytochrome P450 Reactions

Kazuma Kaitoh, Masaaki Kotera, K. Funatsu, 2019, Molecular informatics.

Virus proteins similar to human proteins as possible disturbance on human pathways

S. Goto, Masaaki Kotera, Zhao Jin, 2014, Systems and Synthetic Biology.

Maize Phosphoenolpyruvate Carboxylase

Masaaki Kotera, Y. Kai, K. Izui, 2005, Journal of Biological Chemistry.

Comparison and improvement of the predictability and interpretability with ensemble learning models in QSPR applications

Kenichi Tanaka, Kimito Funatsu, Masaaki Kotera, 2020, Journal of Cheminformatics.

Ensemble Machine Learning and Applicability Domain Estimation for Fluorescence Properties and its Application to Structural Design

Kimito Funatsu, Masaaki Kotera, Yuki Sugawara, 2019, Journal of Computer Aided Chemistry.

GENIES: gene network inference engine based on supervised analysis

Yoshihiro Yamanishi, Susumu Goto, Masaaki Kotera, 2012, Nucleic Acids Res..

PathPred: an enzyme-catalyzed metabolic pathway prediction server

Susumu Goto, Masaaki Kotera, Yuki Moriya, 2010, Nucleic Acids Res..

BioHackathon series in 2013 and 2014: improvements of semantic interoperability in life science data and services

Akira R. Kinjo, Yue Wang, Katsuhiko Murakami, 2019, F1000Research.

Drug Side-Effect Prediction Based on the Integration of Chemical and Biological Spaces

Yoshihiro Yamanishi, Masaaki Kotera, Edouard Pauwels, 2012, J. Chem. Inf. Model..

Characterization and classification of adverse drug interactions.

Susumu Goto, Masaaki Kotera, Minoru Kanehisa, 2010, Genome informatics. International Conference on Genome Informatics.

BioHackathon 2015: Semantics of data for life sciences and reproducible research

Akira R. Kinjo, Núria Queralt-Rosinach, Michel Dumontier, 2020, F1000Research.

Simultaneous prediction of enzyme orthologs from chemical transformation patterns for de novo metabolic pathway reconstruction

Yasuo Tabei, Yoshihiro Yamanishi, Masaaki Kotera, 2016, Bioinform..

Comprehensive genomic analysis of sulfur-relay pathway genes.

M. Kanehisa, S. Goto, M. Hattori, 2010, Genome informatics. International Conference on Genome Informatics.

Identification of Enzyme Genes Using Chemical Structure Alignments of Substrate-Product Pairs

Susumu Goto, Yuki Moriya, Shujiro Okuda, 2016, J. Chem. Inf. Model..

DINIES: drug–target interaction network inference engine based on supervised analysis

Yoshihiro Yamanishi, Susumu Goto, Masaaki Kotera, 2014, Nucleic Acids Res..

Elucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomics

Yoshihiro Yamanishi, Masaaki Kotera, Ryusuke Sawada, 2017, Scientific Reports.

Supervised de novo reconstruction of metabolic pathways from metabolome-scale compound sets

Yasuo Tabei, Yoshihiro Yamanishi, Susumu Goto, 2013, Bioinform..

Modular Architecture of Metabolic Pathways Revealed by Conserved Sequences of Reactions

Susumu Goto, Masaaki Kotera, Minoru Kanehisa, 2013, J. Chem. Inf. Model..

Network-Based Analysis and Characterization of Adverse Drug-Drug Interactions

Susumu Goto, Masaaki Kotera, Minoru Kanehisa, 2011, J. Chem. Inf. Model..

Fast Estimation Method for the Stability of Ensemble Feature Selectors pdf

Masaaki Kotera, Kenta Oono, Rina Onda, 2021, ArXiv.

Pharmacoepidemiological characterization of drug-induced adverse reaction clusters towards understanding of their mechanisms

Susumu Goto, Masaaki Kotera, Sayaka Mizutani, 2014, Comput. Biol. Chem..

Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis pdf

Katsuhiko Ishiguro, Masaaki Kotera, Ryohto Sawada, 2020, ArXiv.

Proposed Changes to the Enzyme List

D. Schomburg, I. Schomburg, Masaaki Kotera, 2006 .

Drug target prediction using adverse event report systems: a pharmacogenomic approach

Yoshihiro Yamanishi, Yosuke Nishimura, Susumu Goto, 2012, Bioinform..

Physicochemical Property Labels as Molecular Descriptors for Improved Analysis of Compound-Protein and Compound-Compound Networks.

Masaaki Kotera, Masaaki Kotera, 2018, Methods in molecular biology.

Metabolome-scale de novo pathway reconstruction using regioisomer-sensitive graph alignments

Yasuo Tabei, Yoshihiro Yamanishi, Masaaki Kotera, 2015, Bioinform..

Eliciting Possible Reaction Equations and Metabolic Pathways Involving Orphan Metabolites

Andrew G. McDonald, Keith F. Tipton, Masaaki Kotera, 2008, J. Chem. Inf. Model..

Allylic hydroxylation of triterpenoids by a plant cytochrome P450 triggers key chemical transformations that produce a variety of bitter compounds

Hideyuki Suzuki, Masaaki Kotera, T. Hosouchi, 2019, The Journal of Biological Chemistry.

WURCS: The Web3 Unique Representation of Carbohydrate Structures

Hisashi Narimatsu, Kiyoko F. Aoki-Kinoshita, Noriaki Fujita, 2014, J. Chem. Inf. Model..

Metabolic disassembler for understanding and predicting the biosynthetic units of natural products

Kenichi Tanaka, Kimito Funatsu, Masaaki Kotera, 2019, BMC Bioinformatics.

Network-based characterization of drug-protein interaction signatures with a space-efficient approach

Yasuo Tabei, Yoshihiro Yamanishi, Masaaki Kotera, 2019, BMC Systems Biology.

Statistical Machine Learning for Agriculture and Human Health Care Based on Biomedical Big Data

Yasuo Tabei, Yoshihiro Yamanishi, Masaaki Kotera, 2016 .

Inferring protein domains associated with drug side effects based on drug-target interaction network

Yasuo Tabei, Yoshihiro Yamanishi, Susumu Goto, 2013, BMC Systems Biology.

RPAIR : a reactant-pair database representing chemical changes in enzymatic reactions

Masaaki Kotera, Masaaki Kotera, 2004 .

Comprehensive Analysis of Polyketide Synthase Families

Masaaki Kotera, T. Tokimatsu, Yugo Shimizu, 2009 .

Identification of Enzyme Genes Using Chemical Structure Alignments of Substrate-Product Pairs

M. Kanehisa, Takuji Yamada, Shujiro Okuda, 2016, J. Chem. Inf. Model..

Succinct interval-splitting tree for scalable similarity search of compound-protein pairs with property constraints

Yasuo Tabei, Yoshihiro Yamanishi, Akihiro Kishimoto, 2013, KDD.

Dry Etching Damage and Alloy Composition Analysis of GaN-Based Semiconductors Using Electron Energy-Loss Spectroscopy

Masaaki Kotera, K. Funatsu, H. Nakano, 2021, Journal of Electronic Materials.

Large-Scale Prediction of Beneficial Drug Combinations Using Drug Efficacy and Target Profiles

Yoshihiro Yamanishi, Masaaki Kotera, Hiroaki Iwata, 2015, J. Chem. Inf. Model..