Development of peptide vaccine candidate using highly antigenic PE-PGRS family proteins to stimulate the host immune response against <i>Mycobacterium tuberculosis</i> H<sub>37</sub>Rv: an immuno-informatics approach.

Kumar, Ajit; Sharma, Priyanka; Arun, Akanksha; Meena, Laxman S

Development of peptide vaccine candidate using highly antigenic PE-PGRS family proteins to stimulate the host immune response against Mycobacterium tuberculosis H₃₇Rv: an immuno-informatics approach.

Kumar, Ajit; Sharma, Priyanka; Arun, Akanksha; Meena, Laxman S.

Afiliação

Kumar A; CSIR-Institute of Genomics and Integrative Biology, Delhi, India.
Sharma P; Academy of Scientific and Innovative Research (AcSIR), CSIR-HRDC, Ghaziabad, Uttar Pradesh, India.
Arun A; CSIR-Institute of Genomics and Integrative Biology, Delhi, India.
Meena LS; CSIR-Institute of Genomics and Integrative Biology, Delhi, India.

J Biomol Struct Dyn ; 41(8): 3382-3404, 2023 05.

Article em En | MEDLINE | ID: mdl-35293852

Assuntos

Mycobacterium tuberculosis; Tuberculose; Humanos; Simulação de Acoplamento Molecular; Mycobacterium tuberculosis/genética; Mycobacterium tuberculosis/metabolismo; Escherichia coli/metabolismo; Epitopos de Linfócito T; Epitopos de Linfócito B; Vacinas de Subunidades Antigênicas; Simulação de Dinâmica Molecular; Imunidade; Tuberculose/prevenção & controle; Biologia Computacional/métodos

Palavras-chave

Mycobacterium tuberculosis; dynamics simulation; immune simulation; immunoinformatics; multi-epitope vaccine; tuberculosis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tuberculose / Mycobacterium tuberculosis Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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