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HNSPPI: a hybrid computational model combing network and sequence information for predicting protein-protein interaction.
Xie, Shijie; Xie, Xiaojun; Zhao, Xin; Liu, Fei; Wang, Yiming; Ping, Jihui; Ji, Zhiwei.
Afiliação
  • Xie S; College of Artificial Intelligence, Nanjing Agricultural University, No. 1 Weigang Rd, Nanjing, Jiangsu 210095, China.
  • Xie X; College of Artificial Intelligence, Nanjing Agricultural University, No. 1 Weigang Rd, Nanjing, Jiangsu 210095, China.
  • Zhao X; Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital affiliated to Capital Medical University, Beijing 100020, China.
  • Liu F; Joint International Research Laboratory of Animal Health and Food Safety of Ministry of Education & Single Molecule Nanometry Laboratory (Sinmolab), Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
  • Wang Y; Key Laboratory of Biological Interactions and Crop Health, Department of Plant Pathology, Nanjing Agricultural University, 210095, Nanjing, China.
  • Ping J; MOE International Joint Collaborative Research Laboratory for Animal Health and Food Safety & Jiangsu Engineering Laboratory of Animal Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China.
  • Ji Z; College of Artificial Intelligence, Nanjing Agricultural University, No. 1 Weigang Rd, Nanjing, Jiangsu 210095, China.
Brief Bioinform ; 24(5)2023 09 20.
Article em En | MEDLINE | ID: mdl-37480553
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China