Protocol for in silico characterization of natural-based molecules as quorum-sensing inhibitors

The search and development of new quorum-sensing (QS) inhibitors are ongoing processes for biofilm control. Here, we present a protocol for in silico characterization of natural-based molecules as QS inhibitors. We describe steps for preparing models of protein receptors for virtual screening. We then detail procedures for construction and virtual screening of phytochemical libraries and hit picking to be experimentally validated by in vitro assays. This protocol allows exploration of a broad range of potential inhibitors for a specific target. For complete details on the use and execution of this protocol, please refer to Fernandes et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2024-10-07
DOI
https://doi.org/10.1016/j.xpro.2024.103367
Citations
4
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.45

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article

Protocol for in silico characterization of natural-based molecules as quorum-sensing inhibitors

Fábio G. Martins, Sérgio F. Sousa, Susana Fernandes, Manuel V. Simões et al.
4 citations
STAR Protocols
Computational Drug Discovery Methods
1.45
article

Protocol for in silico characterization of natural-based molecules as quorum-sensing inhibitors

Fábio G. Martins, Sérgio F. Sousa, Susana Fernandes, Manuel V. Simões, Mariana Sousa
article en
4 citations

Abstract

The search and development of new quorum-sensing (QS) inhibitors are ongoing processes for biofilm control. Here, we present a protocol for in silico characterization of natural-based molecules as QS inhibitors. We describe steps for preparing models of protein receptors for virtual screening. We then detail procedures for construction and virtual screening of phytochemical libraries and hit picking to be experimentally validated by in vitro assays. This protocol allows exploration of a broad range of potential inhibitors for a specific target. For complete details on the use and execution of this protocol, please refer to Fernandes et al.<sup>1</sup>.

STAR ProtocolsVol. 5(4)
Universidade do Porto (PT)
European Commission, Ministério da Ciência, Tecnologia e Ensino Superior, Fundação para a Ciência e a Tecnologia, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa
Openalex Percentile: Top 16%
Computational Drug Discovery Methods
1.45
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