KinOrtho: a method for mapping human kinase orthologs across the tree of life and illuminating understudied kinases.

Huang, Liang-Chin; Taujale, Rahil; Gravel, Nathan; Venkat, Aarya; Yeung, Wayland; Byrne, Dominic P; Eyers, Patrick A; Kannan, Natarajan

Huang, Liang-Chin; Taujale, Rahil; Gravel, Nathan; Venkat, Aarya; Yeung, Wayland; Byrne, Dominic P; Eyers, Patrick A; Kannan, Natarajan.

Afiliação

Huang LC; Institute of Bioinformatics, University of Georgia, 120 Green St., Athens, GA, 30602, USA.
Taujale R; Institute of Bioinformatics, University of Georgia, 120 Green St., Athens, GA, 30602, USA.
Gravel N; PREP@UGA, University of Georgia, 500 D.W. Brooks Drive, Athens, GA, 30602, USA.
Venkat A; Department of Biochemistry and Molecular Biology, University of Georgia, 120 Green St., Athens, GA, 30602, USA.
Yeung W; Institute of Bioinformatics, University of Georgia, 120 Green St., Athens, GA, 30602, USA.
Byrne DP; Department of Biochemistry and Systems Biology, University of Liverpool, Crown St, Liverpool, UK.
Eyers PA; Department of Biochemistry and Systems Biology, University of Liverpool, Crown St, Liverpool, UK.
Kannan N; Institute of Bioinformatics, University of Georgia, 120 Green St., Athens, GA, 30602, USA. nkannan@uga.edu.

BMC Bioinformatics ; 22(1): 446, 2021 Sep 18.

Article em En | MEDLINE | ID: mdl-34537014

Assuntos

Evolução Biológica; Genômica; Humanos; Anotação de Sequência Molecular; Proteínas Quinases/genética; Proteínas Serina-Treonina Quinases; Proteínas

Palavras-chave

Annotation inference; Bioinformatics; Orthology; Protein kinase; Understudied proteins

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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Assunto principal: Genômica / Evolução Biológica Limite: Humans Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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