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Toward understanding the origin and evolution of cellular organisms

Protein science, 2019-11, Vol.28 (11), p.1947-1951

Kanehisa, Minoru

2019

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Enzyme Annotation and Metabolic Reconstruction Using KEGG

Methods in molecular biology (Clifton, N.J.), 2017-01, Vol.1611, p.135

Kanehisa, Minoru

2017

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KEGG Mapper for inferring cellular functions from protein sequences

Protein science, 2020-01, Vol.29 (1), p.28-35

2020

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KEGG mapping tools for uncovering hidden features in biological data

Protein science, 2022-01, Vol.31 (1), p.47-53

2022

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BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences

Journal of molecular biology, 2016-02, Vol.428 (4), p.726-731

2016

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New approach for understanding genome variations in KEGG

Nucleic acids research, 2019-01, Vol.47 (D1), p.D590-D595

2019

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Molecular network analysis of diseases and drugs in KEGG

Methods in molecular biology (Clifton, N.J.), 2013, Vol.939, p.263

Kanehisa, Minoru

2013

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KEGG: integrating viruses and cellular organisms

Nucleic acids research, 2021-01, Vol.49 (D1), p.D545-D551

2021

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KEGG for taxonomy-based analysis of pathways and genomes

Nucleic acids research, 2023-01, Vol.51 (D1), p.D587-D592

2023

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KEGG for representation and analysis of molecular networks involving diseases and drugs

Nucleic acids research, 2010-01, Vol.38 (Database issue), p.D355-D360

2010

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KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score threshold

Bioinformatics, 2020-04, Vol.36 (7), p.2251-2252

2020

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

Bioinformatics, 2010-06, Vol.26 (12), p.i246-i254

2010

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Prediction of drug–target interaction networks from the integration of chemical and genomic spaces

Bioinformatics, 2008-07, Vol.24 (13), p.i232-i240

2008

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Chemical and genomic evolution of enzyme-catalyzed reaction networks

FEBS letters, 2013-09, Vol.587 (17), p.2731-2737

Kanehisa, Minoru

2013

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Updates to the Symbol Nomenclature for Glycans guidelines

Glycobiology (Oxford), 2019-08, Vol.29 (9), p.620-624

2019

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Symbol Nomenclature for Graphical Representations of Glycans

Glycobiology (Oxford), 2015-12, Vol.25 (12), p.1323-1324

2015

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

Nucleic acids research, 2014-07, Vol.42 (Web Server issue), p.W39-W45

2014

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KEGG Bioinformatics Resource for Plant Genomics and Metabolomics

Methods in molecular biology (Clifton, N.J.), 2016, Vol.1374, p.55

Kanehisa, Minoru

2016

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iPath: interactive exploration of biochemical pathways and networks

Trends in biochemical sciences (Amsterdam. Regular ed.), 2008-03, Vol.33 (3), p.101-103

2008

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Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino acid pairs

Bioinformatics, 2003-09, Vol.19 (13), p.1656-1663

2003

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Evaluation method for the potential functionome harbored in the genome and metagenome

BMC genomics, 2012-12, Vol.13 (1), p.699-699

2012

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Development of a Chemical Structure Comparison Method for Integrated Analysis of Chemical and Genomic Information in the Metabolic Pathways

Journal of the American Chemical Society, 2003-10, Vol.125 (39), p.11853-11865

2003

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Comprehensive Analysis of Distinctive Polyketide and Nonribosomal Peptide Structural Motifs Encoded in Microbial Genomes

Journal of molecular biology, 2007-05, Vol.368 (5), p.1500-1517

2007

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Modular Architecture of Metabolic Pathways Revealed by Conserved Sequences of Reactions

Journal of chemical information and modeling, 2013-03, Vol.53 (3), p.613-622

2013

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

Methods in molecular biology (Clifton, N.J.), 2012-01, Vol.802, p.19

2012

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Toward understanding the origin and evolution of cellular organisms

Enzyme Annotation and Metabolic Reconstruction Using KEGG

KEGG Mapper for inferring cellular functions from protein sequences

KEGG mapping tools for uncovering hidden features in biological data

BlastKOALA and GhostKOALA: KEGG Tools for Functional Characterization of Genome and Metagenome Sequences

New approach for understanding genome variations in KEGG

Molecular network analysis of diseases and drugs in KEGG

KEGG: integrating viruses and cellular organisms

KEGG for taxonomy-based analysis of pathways and genomes

KEGG for representation and analysis of molecular networks involving diseases and drugs

KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score threshold

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

Prediction of drug–target interaction networks from the integration of chemical and genomic spaces

Chemical and genomic evolution of enzyme-catalyzed reaction networks

Updates to the Symbol Nomenclature for Glycans guidelines

Symbol Nomenclature for Graphical Representations of Glycans

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

KEGG Bioinformatics Resource for Plant Genomics and Metabolomics

iPath: interactive exploration of biochemical pathways and networks

Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino acid pairs

Evaluation method for the potential functionome harbored in the genome and metagenome

Development of a Chemical Structure Comparison Method for Integrated Analysis of Chemical and Genomic Information in the Metabolic Pathways

Comprehensive Analysis of Distinctive Polyketide and Nonribosomal Peptide Structural Motifs Encoded in Microbial Genomes

Modular Architecture of Metabolic Pathways Revealed by Conserved Sequences of Reactions

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

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