Computational prediction of anti HIV-1 peptides and in vitro evaluation of anti HIV-1 activity of HIV-1 P24-derived peptides.

Poorinmohammad, Naghmeh; Mohabatkar, Hassan; Behbahani, Mandana; Biria, Davood

Poorinmohammad, Naghmeh; Mohabatkar, Hassan; Behbahani, Mandana; Biria, Davood.

Affiliation

Poorinmohammad N; Department of Biotechnology, Faculty of Advanced Sciences and Technologies, University of Isfahan, Isfahan, Iran.

J Pept Sci ; 21(1): 10-6, 2015 Jan.

Article in En | MEDLINE | ID: mdl-25407510

Subject(s)

Anti-HIV Agents/chemistry; HIV Core Protein p24/chemistry; HIV-1/drug effects; Peptide Fragments/chemistry; Amino Acid Sequence; Anti-HIV Agents/pharmacology; Cells, Cultured; Computational Biology; Computer Simulation; Humans; Molecular Sequence Data; Mutagens/chemistry; Mutagens/pharmacology; Peptide Fragments/pharmacology; Salmonella typhimurium/drug effects; Salmonella typhimurium/genetics

Key words

P24 protein; anti-HIV-1 peptides; machine learning approach; support vector machine

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptide Fragments / HIV-1 / HIV Core Protein p24 / Anti-HIV Agents Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Pept Sci Journal subject: BIOQUIMICA Year: 2015 Document type: Article Affiliation country: Iran Country of publication: United kingdom

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