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  In silico discovery and biological validation of ligands of FAD synthase, a promising new antimicrobial target

Lans, I., Anoz-Carbonell, E., Palacio-Rodríguez, K., Aínsa, J. A., Medina, M., & Cossio, P. (2020). In silico discovery and biological validation of ligands of FAD synthase, a promising new antimicrobial target. PLoS Computational Biology, 16(8): e1007898. doi:10.1371/journal.pcbi.1007898.

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 Creators:
Lans, Isaias1, Author
Anoz-Carbonell, Ernesto2, 3, 4, Author
Palacio-Rodríguez, Karen1, Author
Aínsa, José Antonio3, 4, 5, Author
Medina, Milagros2, 3, Author
Cossio, Pilar1, 6, Author           
Affiliations:
1Biophysics of Tropical Diseases, Max Planck Tandem Group,University of Antioquia UdeA, Medellin, Colombia, ou_persistent22              
2Departamento de Bioquímica y Biología Molecular y Celular, Facultad de Ciencias, Universidad de Zaragoza, Spain, ou_persistent22              
3Instituto de Biocomputación y Física de Sistemas Complejos (Unidades Asociadas BIFI-IQFR y CBsC-CSIC), Universidad de Zaragoza, Spain, ou_persistent22              
4Grupo de Genética de Micobacterias, Departamento de Microbiología, Pediatría, Radiología y Salud Pública. Facultad de Medicina, Universidad de Zaragoza, Zaragoza, Spain, ou_persistent22              
5CIBER Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Spain, ou_persistent22              
6Department of Theoretical Biophysics, Max Planck Institute of Biophysics, Max Planck Society, ou_2068292              

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 Abstract: New treatments for diseases caused by antimicrobial-resistant microorganisms can be developed by identifying unexplored therapeutic targets and by designing efficient drug screening protocols. In this study, we have screened a library of compounds to find ligands for the flavin-adenine dinucleotide synthase (FADS) -a potential target for drug design against tuberculosis and pneumonia- by implementing a new and efficient virtual screening protocol. The protocol has been developed for the in silico search of ligands of unexplored therapeutic targets, for which limited information about ligands or ligand-receptor structures is available. It implements an integrative funnel-like strategy with filtering layers that increase in computational accuracy. The protocol starts with a pharmacophore-based virtual screening strategy that uses ligand-free receptor conformations from molecular dynamics (MD) simulations. Then, it performs a molecular docking stage using several docking programs and an exponential consensus ranking strategy. The last filter, samples the conformations of compounds bound to the target using MD simulations. The MD conformations are scored using several traditional scoring functions in combination with a newly-proposed score that takes into account the fluctuations of the molecule with a Morse-based potential. The protocol was optimized and validated using a compound library with known ligands of the Corynebacterium ammoniagenes FADS. Then, it was used to find new FADS ligands from a compound library of 14,000 molecules. A small set of 17 in silico filtered molecules were tested experimentally. We identified five inhibitors of the activity of the flavin adenylyl transferase module of the FADS, and some of them were able to inhibit growth of three bacterial species: C. ammoniagenes, Mycobacterium tuberculosis, and Streptococcus pneumoniae, where the two are human pathogens. Overall, the results show that the integrative VS protocol is a cost-effective solution for the discovery of ligands of unexplored therapeutic targets.

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Language(s): eng - English
 Dates: 2020-04-162020-07-092020-08-14
 Publication Status: Published online
 Pages: 24
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1371/journal.pcbi.1007898
BibTex Citekey: lans_silico_2020
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Title: PLoS Computational Biology
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 16 (8) Sequence Number: e1007898 Start / End Page: - Identifier: ISSN: 1553-734X
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000017180_1