Finding branched pathways in metabolic network via atom group tracking.

Huang, Yiran; Xie, Yusi; Zhong, Cheng; Zhou, Fengfeng

Huang, Yiran; Xie, Yusi; Zhong, Cheng; Zhou, Fengfeng.

Afiliação

Huang Y; School of Computer and Electronics and Information, Guangxi Key Laboratory of Multimedia Communications and Network Technology, Guangxi University, Nanning, China.
Xie Y; School of Computer and Electronics and Information, Guangxi Key Laboratory of Multimedia Communications and Network Technology, Guangxi University, Nanning, China.
Zhong C; School of Computer and Electronics and Information, Guangxi Key Laboratory of Multimedia Communications and Network Technology, Guangxi University, Nanning, China.
Zhou F; College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China.

PLoS Comput Biol ; 17(2): e1008676, 2021 02.

Article em En | MEDLINE | ID: mdl-33529200

Assuntos

Biologia Computacional/métodos; Engenharia Metabólica/métodos; Biologia Sintética/métodos; Algoritmos; Linhagem Celular Tumoral; Ácido Glutâmico/metabolismo; Humanos; Modelos Lineares; Redes e Vias Metabólicas; Modelos Biológicos; Ornitina/metabolismo; Valor Preditivo dos Testes; Reprodutibilidade dos Testes; Software

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Biologia Sintética / Engenharia Metabólica Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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