Cargando…
Identification of a Family of Glycoside Derivatives Biologically Active against Acinetobacter baumannii and Other MDR Bacteria Using a QSPR Model
As the rate of discovery of new antibacterial compounds for multidrug-resistant bacteria is declining, there is an urge for the search for molecules that could revert this tendency. Acinetobacter baumannii has emerged as a highly virulent Gram-negative bacterium that has acquired multiple resistance...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964118/ https://www.ncbi.nlm.nih.gov/pubmed/37259397 http://dx.doi.org/10.3390/ph16020250 |
_version_ | 1784896423279460352 |
---|---|
author | Palacios-Can, Francisco José Silva-Sánchez, Jesús León-Rivera, Ismael Tlahuext, Hugo Pastor, Nina Razo-Hernández, Rodrigo Said |
author_facet | Palacios-Can, Francisco José Silva-Sánchez, Jesús León-Rivera, Ismael Tlahuext, Hugo Pastor, Nina Razo-Hernández, Rodrigo Said |
author_sort | Palacios-Can, Francisco José |
collection | PubMed |
description | As the rate of discovery of new antibacterial compounds for multidrug-resistant bacteria is declining, there is an urge for the search for molecules that could revert this tendency. Acinetobacter baumannii has emerged as a highly virulent Gram-negative bacterium that has acquired multiple resistance mechanisms against antibiotics and is considered of critical priority. In this work, we developed a quantitative structure-property relationship (QSPR) model with 592 compounds for the identification of structural parameters related to their property as antibacterial agents against A. baumannii. QSPR mathematical validation ([Formula: see text] = 70.27, [Formula: see text] = −0.008, [Formula: see text] = 0.014, and [Formula: see text] = 0.021) and its prediction ability ([Formula: see text] (LMO)= 67.89, [Formula: see text] (EXT) = 67.75, [Formula: see text] = −0.068, [Formula: see text] = 0.0, [Formula: see text] = 0.229, and [Formula: see text] = 0.522) were obtained with different statistical parameters; additional validation was done using three sets of external molecules ([Formula: see text] = 72.89, 71.64 and 71.56). We used the QSPR model to perform a virtual screening on the BIOFACQUIM natural product database. From this screening, our model showed that molecules 32 to 35 and 54 to 68, isolated from different extracts of plants of the Ipomoea sp., are potential antibacterials against A. baumannii. Furthermore, biological assays showed that molecules 56 and 60 to 64 have a wide antibacterial activity against clinically isolated strains of A. baumannii, as well as other multidrug-resistant bacteria, including Staphylococcus aureus, Escherichia coli, Klebsiella pneumonia, and Pseudomonas aeruginosa. Finally, we propose 60 as a potential lead compound due to its broad-spectrum activity and its structural simplicity. Therefore, our QSPR model can be used as a tool for the investigation and search for new antibacterial compounds against A. baumannii. |
format | Online Article Text |
id | pubmed-9964118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99641182023-02-26 Identification of a Family of Glycoside Derivatives Biologically Active against Acinetobacter baumannii and Other MDR Bacteria Using a QSPR Model Palacios-Can, Francisco José Silva-Sánchez, Jesús León-Rivera, Ismael Tlahuext, Hugo Pastor, Nina Razo-Hernández, Rodrigo Said Pharmaceuticals (Basel) Article As the rate of discovery of new antibacterial compounds for multidrug-resistant bacteria is declining, there is an urge for the search for molecules that could revert this tendency. Acinetobacter baumannii has emerged as a highly virulent Gram-negative bacterium that has acquired multiple resistance mechanisms against antibiotics and is considered of critical priority. In this work, we developed a quantitative structure-property relationship (QSPR) model with 592 compounds for the identification of structural parameters related to their property as antibacterial agents against A. baumannii. QSPR mathematical validation ([Formula: see text] = 70.27, [Formula: see text] = −0.008, [Formula: see text] = 0.014, and [Formula: see text] = 0.021) and its prediction ability ([Formula: see text] (LMO)= 67.89, [Formula: see text] (EXT) = 67.75, [Formula: see text] = −0.068, [Formula: see text] = 0.0, [Formula: see text] = 0.229, and [Formula: see text] = 0.522) were obtained with different statistical parameters; additional validation was done using three sets of external molecules ([Formula: see text] = 72.89, 71.64 and 71.56). We used the QSPR model to perform a virtual screening on the BIOFACQUIM natural product database. From this screening, our model showed that molecules 32 to 35 and 54 to 68, isolated from different extracts of plants of the Ipomoea sp., are potential antibacterials against A. baumannii. Furthermore, biological assays showed that molecules 56 and 60 to 64 have a wide antibacterial activity against clinically isolated strains of A. baumannii, as well as other multidrug-resistant bacteria, including Staphylococcus aureus, Escherichia coli, Klebsiella pneumonia, and Pseudomonas aeruginosa. Finally, we propose 60 as a potential lead compound due to its broad-spectrum activity and its structural simplicity. Therefore, our QSPR model can be used as a tool for the investigation and search for new antibacterial compounds against A. baumannii. MDPI 2023-02-07 /pmc/articles/PMC9964118/ /pubmed/37259397 http://dx.doi.org/10.3390/ph16020250 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 Palacios-Can, Francisco José Silva-Sánchez, Jesús León-Rivera, Ismael Tlahuext, Hugo Pastor, Nina Razo-Hernández, Rodrigo Said Identification of a Family of Glycoside Derivatives Biologically Active against Acinetobacter baumannii and Other MDR Bacteria Using a QSPR Model |
title | Identification of a Family of Glycoside Derivatives Biologically Active against Acinetobacter baumannii and Other MDR Bacteria Using a QSPR Model |
title_full | Identification of a Family of Glycoside Derivatives Biologically Active against Acinetobacter baumannii and Other MDR Bacteria Using a QSPR Model |
title_fullStr | Identification of a Family of Glycoside Derivatives Biologically Active against Acinetobacter baumannii and Other MDR Bacteria Using a QSPR Model |
title_full_unstemmed | Identification of a Family of Glycoside Derivatives Biologically Active against Acinetobacter baumannii and Other MDR Bacteria Using a QSPR Model |
title_short | Identification of a Family of Glycoside Derivatives Biologically Active against Acinetobacter baumannii and Other MDR Bacteria Using a QSPR Model |
title_sort | identification of a family of glycoside derivatives biologically active against acinetobacter baumannii and other mdr bacteria using a qspr model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964118/ https://www.ncbi.nlm.nih.gov/pubmed/37259397 http://dx.doi.org/10.3390/ph16020250 |
work_keys_str_mv | AT palacioscanfranciscojose identificationofafamilyofglycosidederivativesbiologicallyactiveagainstacinetobacterbaumanniiandothermdrbacteriausingaqsprmodel AT silvasanchezjesus identificationofafamilyofglycosidederivativesbiologicallyactiveagainstacinetobacterbaumanniiandothermdrbacteriausingaqsprmodel AT leonriveraismael identificationofafamilyofglycosidederivativesbiologicallyactiveagainstacinetobacterbaumanniiandothermdrbacteriausingaqsprmodel AT tlahuexthugo identificationofafamilyofglycosidederivativesbiologicallyactiveagainstacinetobacterbaumanniiandothermdrbacteriausingaqsprmodel AT pastornina identificationofafamilyofglycosidederivativesbiologicallyactiveagainstacinetobacterbaumanniiandothermdrbacteriausingaqsprmodel AT razohernandezrodrigosaid identificationofafamilyofglycosidederivativesbiologicallyactiveagainstacinetobacterbaumanniiandothermdrbacteriausingaqsprmodel |