Use este identificador para citar ou linkar para este item:
http://repositorio.ufla.br/jspui/handle/1/43477
Registro completo de metadados
Campo DC | Valor | Idioma |
---|---|---|
dc.creator | Kabra, Ritika | - |
dc.creator | Singh, Shailza | - |
dc.date.accessioned | 2020-10-20T17:52:51Z | - |
dc.date.available | 2020-10-20T17:52:51Z | - |
dc.date.issued | 2021-01 | - |
dc.identifier.citation | KABRA, R.; SINGH, S. Evolutionary artificial intelligence based peptide discoveries for effective Covid-19 therapeutics. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, [S.l.], v. 1867, n. 1, Jan. 2021. | pt_BR |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0925443920303264 | pt_BR |
dc.identifier.uri | http://repositorio.ufla.br/jspui/handle/1/43477 | - |
dc.description.abstract | An 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. | pt_BR |
dc.language | en_US | pt_BR |
dc.publisher | Elsevier | pt_BR |
dc.rights | restrictAccess | pt_BR |
dc.source | Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease | pt_BR |
dc.subject | COVID-19 | pt_BR |
dc.subject | Artificial intelligence | pt_BR |
dc.subject | Evolutionary peptides | pt_BR |
dc.subject | Computational biology | pt_BR |
dc.subject | Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) | pt_BR |
dc.title | Evolutionary artificial intelligence based peptide discoveries for effective Covid-19 therapeutics | pt_BR |
dc.type | Artigo | pt_BR |
Aparece nas coleções: | FCS - Artigos sobre Coronavirus Disease 2019 (COVID-19) |
Arquivos associados a este item:
Não existem arquivos associados a este item.
Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.