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Hierarchical Virtual Screening of Potential New Antibiotics from Polyoxygenated Dibenzofurans against Staphylococcus aureus Strains

Staphylococcus aureus is a microorganism with high morbidity and mortality due to antibiotic-resistant strains, making the search for new therapeutic options urgent. In this context, computational drug design can facilitate the drug discovery process, optimizing time and resources. In this work, com...

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Autores principales: Oliveira, Lana P. S., Lima, Lúcio R., Silva, Luciane B., Cruz, Jorddy N., Ramos, Ryan S., Lima, Luciana S., Cardoso, Francy M. N., Silva, Aderaldo V., Rodrigues, Dália P., Rodrigues, Gabriela S., Proietti-Junior, Aldo A., dos Santos, Gabriela B., Campos, Joaquín M., Santos, Cleydson B. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610096/
https://www.ncbi.nlm.nih.gov/pubmed/37895901
http://dx.doi.org/10.3390/ph16101430
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author Oliveira, Lana P. S.
Lima, Lúcio R.
Silva, Luciane B.
Cruz, Jorddy N.
Ramos, Ryan S.
Lima, Luciana S.
Cardoso, Francy M. N.
Silva, Aderaldo V.
Rodrigues, Dália P.
Rodrigues, Gabriela S.
Proietti-Junior, Aldo A.
dos Santos, Gabriela B.
Campos, Joaquín M.
Santos, Cleydson B. R.
author_facet Oliveira, Lana P. S.
Lima, Lúcio R.
Silva, Luciane B.
Cruz, Jorddy N.
Ramos, Ryan S.
Lima, Luciana S.
Cardoso, Francy M. N.
Silva, Aderaldo V.
Rodrigues, Dália P.
Rodrigues, Gabriela S.
Proietti-Junior, Aldo A.
dos Santos, Gabriela B.
Campos, Joaquín M.
Santos, Cleydson B. R.
author_sort Oliveira, Lana P. S.
collection PubMed
description Staphylococcus aureus is a microorganism with high morbidity and mortality due to antibiotic-resistant strains, making the search for new therapeutic options urgent. In this context, computational drug design can facilitate the drug discovery process, optimizing time and resources. In this work, computational methods involving ligand- and structure-based virtual screening were employed to identify potential antibacterial agents against the S. aureus MRSA and VRSA strains. To achieve this goal, tetrahydroxybenzofuran, a promising antibacterial agent according to in vitro tests described in the literature, was adopted as the pivotal molecule and derivative molecules were considered to generate a pharmacophore model, which was used to perform virtual screening on the Pharmit platform. Through this result, twenty-four molecules were selected from the MolPort(®) database. Using the Tanimoto Index on the BindingDB web server, it was possible to select eighteen molecules with greater structural similarity in relation to commercial antibiotics (methicillin and oxacillin). Predictions of toxicological and pharmacokinetic properties (ADME/Tox) using the eighteen most similar molecules, showed that only three exhibited desired properties (LB255, LB320 and LB415). In the molecular docking study, the promising molecules LB255, LB320 and LB415 showed significant values in both molecular targets. LB320 presented better binding affinity to MRSA (−8.18 kcal/mol) and VRSA (−8.01 kcal/mol) targets. Through PASS web server, the three molecules, specially LB320, showed potential for antibacterial activity. Synthetic accessibility (SA) analysis performed on AMBIT and SwissADME web servers showed that LB255 and LB415 can be considered difficult to synthesize and LB320 is considered easy. In conclusion, the results suggest that these ligands, particularly LB320, may bind strongly to the studied targets and may have appropriate ADME/Tox properties in experimental studies.
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spelling pubmed-106100962023-10-28 Hierarchical Virtual Screening of Potential New Antibiotics from Polyoxygenated Dibenzofurans against Staphylococcus aureus Strains Oliveira, Lana P. S. Lima, Lúcio R. Silva, Luciane B. Cruz, Jorddy N. Ramos, Ryan S. Lima, Luciana S. Cardoso, Francy M. N. Silva, Aderaldo V. Rodrigues, Dália P. Rodrigues, Gabriela S. Proietti-Junior, Aldo A. dos Santos, Gabriela B. Campos, Joaquín M. Santos, Cleydson B. R. Pharmaceuticals (Basel) Article Staphylococcus aureus is a microorganism with high morbidity and mortality due to antibiotic-resistant strains, making the search for new therapeutic options urgent. In this context, computational drug design can facilitate the drug discovery process, optimizing time and resources. In this work, computational methods involving ligand- and structure-based virtual screening were employed to identify potential antibacterial agents against the S. aureus MRSA and VRSA strains. To achieve this goal, tetrahydroxybenzofuran, a promising antibacterial agent according to in vitro tests described in the literature, was adopted as the pivotal molecule and derivative molecules were considered to generate a pharmacophore model, which was used to perform virtual screening on the Pharmit platform. Through this result, twenty-four molecules were selected from the MolPort(®) database. Using the Tanimoto Index on the BindingDB web server, it was possible to select eighteen molecules with greater structural similarity in relation to commercial antibiotics (methicillin and oxacillin). Predictions of toxicological and pharmacokinetic properties (ADME/Tox) using the eighteen most similar molecules, showed that only three exhibited desired properties (LB255, LB320 and LB415). In the molecular docking study, the promising molecules LB255, LB320 and LB415 showed significant values in both molecular targets. LB320 presented better binding affinity to MRSA (−8.18 kcal/mol) and VRSA (−8.01 kcal/mol) targets. Through PASS web server, the three molecules, specially LB320, showed potential for antibacterial activity. Synthetic accessibility (SA) analysis performed on AMBIT and SwissADME web servers showed that LB255 and LB415 can be considered difficult to synthesize and LB320 is considered easy. In conclusion, the results suggest that these ligands, particularly LB320, may bind strongly to the studied targets and may have appropriate ADME/Tox properties in experimental studies. MDPI 2023-10-09 /pmc/articles/PMC10610096/ /pubmed/37895901 http://dx.doi.org/10.3390/ph16101430 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Oliveira, Lana P. S.
Lima, Lúcio R.
Silva, Luciane B.
Cruz, Jorddy N.
Ramos, Ryan S.
Lima, Luciana S.
Cardoso, Francy M. N.
Silva, Aderaldo V.
Rodrigues, Dália P.
Rodrigues, Gabriela S.
Proietti-Junior, Aldo A.
dos Santos, Gabriela B.
Campos, Joaquín M.
Santos, Cleydson B. R.
Hierarchical Virtual Screening of Potential New Antibiotics from Polyoxygenated Dibenzofurans against Staphylococcus aureus Strains
title Hierarchical Virtual Screening of Potential New Antibiotics from Polyoxygenated Dibenzofurans against Staphylococcus aureus Strains
title_full Hierarchical Virtual Screening of Potential New Antibiotics from Polyoxygenated Dibenzofurans against Staphylococcus aureus Strains
title_fullStr Hierarchical Virtual Screening of Potential New Antibiotics from Polyoxygenated Dibenzofurans against Staphylococcus aureus Strains
title_full_unstemmed Hierarchical Virtual Screening of Potential New Antibiotics from Polyoxygenated Dibenzofurans against Staphylococcus aureus Strains
title_short Hierarchical Virtual Screening of Potential New Antibiotics from Polyoxygenated Dibenzofurans against Staphylococcus aureus Strains
title_sort hierarchical virtual screening of potential new antibiotics from polyoxygenated dibenzofurans against staphylococcus aureus strains
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610096/
https://www.ncbi.nlm.nih.gov/pubmed/37895901
http://dx.doi.org/10.3390/ph16101430
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