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Virtual screening, ADME/Tox predictions and the drug repurposing concept for future use of old drugs against the COVID-19.
Hage-Melim, Lorane Izabel da Silva; Federico, Leonardo Bruno; de Oliveira, Nayana Keyla Seabra; Francisco, Viviane Cristina Cardoso; Correia, Lenir Cabral; de Lima, Henrique Barros; Gomes, Suzane Quintana; Barcelos, Mariana Pegrucci; Francischini, Isaque Antônio Galindo; da Silva, Carlos Henrique Tomich de Paula.
  • Hage-Melim LIDS; Laboratory of Pharmaceutical and Medicinal Chemistry (PharMedChem), Federal University of Amapá, Macapá, Amapá, Brazil. Electronic address: lorane@unifap.br.
  • Federico LB; Computational Laboratory of Pharmaceutical Chemistry, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
  • de Oliveira NKS; Laboratory of Pharmaceutical and Medicinal Chemistry (PharMedChem), Federal University of Amapá, Macapá, Amapá, Brazil.
  • Francisco VCC; Laboratory of Pharmaceutical and Medicinal Chemistry (PharMedChem), Federal University of Amapá, Macapá, Amapá, Brazil.
  • Correia LC; Laboratory of Pharmaceutical and Medicinal Chemistry (PharMedChem), Federal University of Amapá, Macapá, Amapá, Brazil.
  • de Lima HB; Laboratory of Pharmaceutical and Medicinal Chemistry (PharMedChem), Federal University of Amapá, Macapá, Amapá, Brazil.
  • Gomes SQ; Computational Laboratory of Pharmaceutical Chemistry, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil; Department of Chemistry, School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São P
  • Barcelos MP; Computational Laboratory of Pharmaceutical Chemistry, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil; Department of Chemistry, School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São P
  • Francischini IAG; Computational Laboratory of Pharmaceutical Chemistry, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
  • da Silva CHTP; Computational Laboratory of Pharmaceutical Chemistry, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil; Department of Chemistry, School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São P
Life Sci ; 256: 117963, 2020 Sep 01.
Article in English | MEDLINE | ID: covidwho-593278
ABSTRACT
The new Coronavirus (SARS-CoV-2) is the cause of a serious infection in the respiratory tract called COVID-19. Structures of the main protease of SARS-CoV-2 (Mpro), responsible for the replication of the virus, have been solved and quickly made available, thus allowing the design of compounds that could interact with this protease and thus to prevent the progression of the disease by avoiding the viral peptide to be cleaved, so that smaller viral proteins can be released into the host's plasma. These structural data are extremely important for in silico design and development of compounds as well, being possible to quick and effectively identify potential inhibitors addressed to such enzyme's structure. Therefore, in order to identify potential inhibitors for Mpro, we used virtual screening approaches based with the structure of the enzyme and two compounds libraries, targeted to SARS-CoV-2, containing compounds with predicted activity against Mpro. In this way, we selected, through docking studies, the 100 top-ranked compounds, which followed to subsequent studies of pharmacokinetic and toxicity predictions. After all the simulations and predictions here performed, we obtained 10 top-ranked compounds that were again in silico analyzed inside the Mpro catalytic site, together some drugs that are being currently investigated for treatment of COVID-19. After proposing and analyzing the interaction modes of these compounds, we submitted one molecule then selected as template to a 2D similarity study in a database containing drugs approved by FDA and we have found and indicated Apixaban as a potential drug for future treatment of COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Pneumonia, Viral / Drug Design / Coronavirus Infections / Betacoronavirus Type of study: Prognostic study Limits: Humans Language: English Journal: Life Sci Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Antiviral Agents / Pneumonia, Viral / Drug Design / Coronavirus Infections / Betacoronavirus Type of study: Prognostic study Limits: Humans Language: English Journal: Life Sci Year: 2020 Document Type: Article