COYOTE: Sequence-derived structural descriptors-based computational identification of glycoproteins.

Abbasi, Wajid Arshad; Anjam, Asma; Khalil, Sadia; Andleeb, Saiqa; Bibi, Maryum; Abbas, Syed Ali

Abbasi, Wajid Arshad; Anjam, Asma; Khalil, Sadia; Andleeb, Saiqa; Bibi, Maryum; Abbas, Syed Ali.

Afiliação

Abbasi WA; Computational Biology and Data Analysis Laboratory, Department of Computer Sciences & Information Technology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K 13100 Pakistan.
Anjam A; Computational Biology and Data Analysis Laboratory, Department of Computer Sciences & Information Technology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K 13100 Pakistan.
Khalil S; Computational Biology and Data Analysis Laboratory, Department of Computer Sciences & Information Technology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K 13100 Pakistan.
Andleeb S; Biotechnology Laboratory, Department of Zoology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad 13100 Pakistan.
Bibi M; Computational Biology and Data Analysis Laboratory, Department of Computer Sciences & Information Technology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K 13100 Pakistan.
Abbas SA; Computational Biology and Data Analysis Laboratory, Department of Computer Sciences & Information Technology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, AJ&K 13100 Pakistan.

J Bioinform Comput Biol ; 20(5): 2250019, 2022 10.

Article em En | MEDLINE | ID: mdl-36098715

Assuntos

Coiotes; Animais; Glicoproteínas/química; Aprendizado de Máquina; Simulação por Computador; Biologia Computacional/métodos

Palavras-chave

Machine learning; glycoproteins; predictive modeling; protein interactions; sequence information

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Coiotes Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Animals Idioma: En Revista: J Bioinform Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article

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