Literature DB >> 31441146

Toward understanding the origin and evolution of cellular organisms.

Minoru Kanehisa1.   

Abstract

In this era of high-throughput biology, bioinformatics has become a major discipline for making sense out of large-scale datasets. Bioinformatics is usually considered as a practical field developing databases and software tools for supporting other fields, rather than a fundamental scientific discipline for uncovering principles of biology. The KEGG resource that we have been developing is a reference knowledge base for biological interpretation of genome sequences and other high-throughput data. It is now one of the most utilized biological databases because of its practical values. For me personally, KEGG is a step toward understanding the origin and evolution of cellular organisms.
© 2019 The Protein Society.

Keywords:  KEGG; KEGG MEDICUS; KEGG module; pathway mapping; reaction module

Mesh:

Year:  2019        PMID: 31441146      PMCID: PMC6798127          DOI: 10.1002/pro.3715

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  10 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  A heuristic graph comparison algorithm and its application to detect functionally related enzyme clusters.

Authors:  H Ogata; W Fujibuchi; S Goto; M Kanehisa
Journal:  Nucleic Acids Res       Date:  2000-10-15       Impact factor: 16.971

Review 3.  Chemical and genomic evolution of enzyme-catalyzed reaction networks.

Authors:  Minoru Kanehisa
Journal:  FEBS Lett       Date:  2013-06-28       Impact factor: 4.124

4.  A new method for sequencing DNA.

Authors:  A M Maxam; W Gilbert
Journal:  Proc Natl Acad Sci U S A       Date:  1977-02       Impact factor: 11.205

5.  Los Alamos sequence analysis package for nucleic acids and proteins.

Authors:  M I Kanehisa
Journal:  Nucleic Acids Res       Date:  1982-01-11       Impact factor: 16.971

6.  DNA sequencing with chain-terminating inhibitors.

Authors:  F Sanger; S Nicklen; A R Coulson
Journal:  Proc Natl Acad Sci U S A       Date:  1977-12       Impact factor: 11.205

7.  New approach for understanding genome variations in KEGG.

Authors:  Minoru Kanehisa; Yoko Sato; Miho Furumichi; Kanae Morishima; Mao Tanabe
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

8.  Modular architecture of metabolic pathways revealed by conserved sequences of reactions.

Authors:  Ai Muto; Masaaki Kotera; Toshiaki Tokimatsu; Zenichi Nakagawa; Susumu Goto; Minoru Kanehisa
Journal:  J Chem Inf Model       Date:  2013-02-19       Impact factor: 4.956

9.  Gene Ontology Consortium: going forward.

Authors: 
Journal:  Nucleic Acids Res       Date:  2014-11-26       Impact factor: 19.160

10.  Data, information, knowledge and principle: back to metabolism in KEGG.

Authors:  Minoru Kanehisa; Susumu Goto; Yoko Sato; Masayuki Kawashima; Miho Furumichi; Mao Tanabe
Journal:  Nucleic Acids Res       Date:  2013-11-07       Impact factor: 16.971

  10 in total
  726 in total

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Journal:  J Bacteriol       Date:  2020-12-18       Impact factor: 3.490

4.  Associations of the gut microbiome and clinical factors with acute GVHD in allogeneic HSCT recipients.

Authors:  Emma E Ilett; Mette Jørgensen; Marc Noguera-Julian; Jens Christian Nørgaard; Gedske Daugaard; Marie Helleberg; Roger Paredes; Daniel D Murray; Jens Lundgren; Cameron MacPherson; Joanne Reekie; Henrik Sengeløv
Journal:  Blood Adv       Date:  2020-11-24

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Authors:  Mingxu Zhang; Jiawei Yang; Xiulan Zhao; Ying Zhao; Siquan Zhu
Journal:  Sci Rep       Date:  2021-04-01       Impact factor: 4.379

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Authors:  Liliang Wang; Yichao Wu; Peng Cai; Qiaoyun Huang
Journal:  BMC Microbiol       Date:  2020-11-19       Impact factor: 3.605

7.  Integrated Proteomic and Glycoproteomic Characterization of Human High-Grade Serous Ovarian Carcinoma.

Authors:  Yingwei Hu; Jianbo Pan; Punit Shah; Minghui Ao; Stefani N Thomas; Yang Liu; Lijun Chen; Michael Schnaubelt; David J Clark; Henry Rodriguez; Emily S Boja; Tara Hiltke; Christopher R Kinsinger; Karin D Rodland; Qing Kay Li; Jiang Qian; Zhen Zhang; Daniel W Chan; Hui Zhang
Journal:  Cell Rep       Date:  2020-10-20       Impact factor: 9.423

8.  MetaBridge: An Integrative Multi-Omics Tool for Metabolite-Enzyme Mapping.

Authors:  Travis Blimkie; Amy Huei-Yi Lee; Robert E W Hancock
Journal:  Curr Protoc Bioinformatics       Date:  2020-06

9.  Sterile Spikelets Contribute to Yield in Sorghum and Related Grasses.

Authors:  Taylor AuBuchon-Elder; Viktoriya Coneva; David M Goad; Lauren M Jenkins; Yunqing Yu; Doug K Allen; Elizabeth A Kellogg
Journal:  Plant Cell       Date:  2020-09-01       Impact factor: 11.277

10.  Identification of anticancer drug target genes using an outside competitive dynamics model on cancer signaling networks.

Authors:  Tien-Dzung Tran; Duc-Tinh Pham
Journal:  Sci Rep       Date:  2021-07-08       Impact factor: 4.379

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