A Method for Predicting Hemolytic Potency of Chemically Modified Peptides From Its Structure.

Kumar, Vinod; Kumar, Rajesh; Agrawal, Piyush; Patiyal, Sumeet; Raghava, Gajendra P S

Kumar, Vinod; Kumar, Rajesh; Agrawal, Piyush; Patiyal, Sumeet; Raghava, Gajendra P S.

Afiliação

Kumar V; Department of Computational Biology, Indraprastha Institute of Information Technology, Okhla, India.
Kumar R; Bioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh, India.
Agrawal P; Department of Computational Biology, Indraprastha Institute of Information Technology, Okhla, India.
Patiyal S; Bioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh, India.
Raghava GPS; Department of Computational Biology, Indraprastha Institute of Information Technology, Okhla, India.

Front Pharmacol ; 11: 54, 2020.

Article em En | MEDLINE | ID: mdl-32153395

Palavras-chave

HemoPImod; chemical descriptors; fingerprints; machine learning; modified hemolytic peptides; random forest

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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