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Lignans and Neolignans Anti-tuberculosis Identified by QSAR and Molecular Modeling.
S Maia, Mayara; de Sousa, Natália F; Rodrigues, Gabriela C S; Monteiro, Alex F M; Scotti, Marcus T; Scotti, Luciana.
Afiliação
  • S Maia M; Postgraduate Program of Natural and Synthetic Bioactive Products (PgPNSB), Health Sciences Center, Federal University of Paraiba, Joao Pessoa-PB, Brazil.
  • de Sousa NF; Postgraduate Program of Natural and Synthetic Bioactive Products (PgPNSB), Health Sciences Center, Federal University of Paraiba, Joao Pessoa-PB, Brazil.
  • Rodrigues GCS; Postgraduate Program of Natural and Synthetic Bioactive Products (PgPNSB), Health Sciences Center, Federal University of Paraiba, Joao Pessoa-PB, Brazil.
  • Monteiro AFM; Postgraduate Program of Natural and Synthetic Bioactive Products (PgPNSB), Health Sciences Center, Federal University of Paraiba, Joao Pessoa-PB, Brazil.
  • Scotti MT; Postgraduate Program of Natural and Synthetic Bioactive Products (PgPNSB), Health Sciences Center, Federal University of Paraiba, Joao Pessoa-PB, Brazil.
  • Scotti L; Postgraduate Program of Natural and Synthetic Bioactive Products (PgPNSB), Health Sciences Center, Federal University of Paraiba, Joao Pessoa-PB, Brazil.
Comb Chem High Throughput Screen ; 23(6): 504-516, 2020.
Article em En | MEDLINE | ID: mdl-32101116
BACKGROUND: Tuberculosis is a disease with high incidence and high mortality rate, especially in Brazil. Although there are several medications available for treatment, in cases of resistance, there is a need to use more than one medication. OBJECTIVE: Therefore, cases of toxicity increase and reports of resistance have been worrying the population. In addition, some medications have a short period of effectiveness. To achieve the goal, ligand-based and structure-based approaches were used. METHODS: Thus, in an attempt to discover potent inhibitors against Mycobacterium tuberculosis enzymes, we sought to identify natural products with high therapeutic potential for the treatment of Tuberculosis through QSAR, Molecular Modeling and ADMET studies. RESULTS: The results showed that the models generated from two sets of molecules with known activity against M. tuberculosis enzymes InhA and PS were able to select 11 and 8 compounds, respectively, between Lignans and Neolignans with 50 to 60% activity probability. In addition, molecular docking contributed to confirm the mechanism of action of compounds and increase the accuracy of methodologies. All molecules showed higher binding energy values for the drug Isoniazid. We conclude that compounds 33, 34, 110, 114 and 133 are promising for InhA target and compounds 07, 08, 19, 21, 42, 48, 75 and 141 for target PS. In addition, most molecules did not show any toxicity according to the evaluated parameters. CONCLUSION: Therefore, Lignans and Neolignans may be an alternative for the treatment of Tuberculosis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tuberculose / Lignanas / Relação Quantitativa Estrutura-Atividade / Mycobacterium tuberculosis / Antituberculosos Limite: Humans Idioma: En Revista: Comb Chem High Throughput Screen Assunto da revista: BIOLOGIA MOLECULAR / QUIMICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Emirados Árabes Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tuberculose / Lignanas / Relação Quantitativa Estrutura-Atividade / Mycobacterium tuberculosis / Antituberculosos Limite: Humans Idioma: En Revista: Comb Chem High Throughput Screen Assunto da revista: BIOLOGIA MOLECULAR / QUIMICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Emirados Árabes Unidos