Evolutionary artificial intelligence based peptide discoveries for effective Covid-19 therapeutics

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorKabra, Ritika-
Autor(es): dc.creatorSingh, Shailza-
Data de aceite: dc.date.accessioned2026-02-09T12:01:44Z-
Data de disponibilização: dc.date.available2026-02-09T12:01:44Z-
Data de envio: dc.date.issued2020-10-19-
Data de envio: dc.date.issued2020-10-19-
Data de envio: dc.date.issued2020-12-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/43477-
Fonte completa do material: dc.identifierhttps://www.sciencedirect.com/science/article/pii/S0925443920303264-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1152760-
Descrição: dc.descriptionAn epidemic caused by COVID-19 in China turned into pandemic within a short duration affecting countries worldwide. Researchers and companies around the world are working on all the possible strategies to develop a curative or preventive strategy for the same, which includes vaccine development, drug repurposing, plasma therapy, and drug discovery based on Artificial intelligence. Therapeutic approaches based on Computational biology and Machine-learning algorithms are specially considered, with a view that these could provide a fast and accurate outcome in the present scenario. As an effort towards developing possible therapeutics for COVID-19, we have used machine-learning algorithms for the generation of alignment kernels from diverse viral sequences of Covid-19 reported from India, China, Italy and USA. Using these diverse sequences we have identified the conserved motifs and subsequently a peptide library was designed against them. Of these, 4 peptides have shown strong binding affinity against the main protease of SARS-CoV-2 (Mpro) and also maintained their stability and specificity under physiological conditions as observed through MD Simulations. Our data suggest that these evolutionary peptides against COVID-19 if found effective may provide cross-protection against diverse Covid-19 variants.-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceBiochimica et Biophysica Acta (BBA) - Molecular Basis of Disease-
Palavras-chave: dc.subjectCOVID-19-
Palavras-chave: dc.subjectArtificial intelligence-
Palavras-chave: dc.subjectEvolutionary peptides-
Palavras-chave: dc.subjectComputational biology-
Palavras-chave: dc.subjectSevere Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)-
Título: dc.titleEvolutionary artificial intelligence based peptide discoveries for effective Covid-19 therapeutics-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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