Protocol for an automated virtual screening pipeline including library generation and docking evaluation

Here, we present a protocol for an automated virtual screening pipeline. We describe steps for generating compound libraries for computational docking including Food and Drug Administration (FDA)-approved drugs, setting up the receptor and grid box, and docking a library of compounds. We then detail procedures for ranking docking results. This protocol offers scripts for Unix-like systems, lowering the access barrier for researchers interested in structure-based drug discovery and supporting more experienced users by improving the efficiency of their studies.

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Publication Details

Journal
STAR Protocols
Published
2025-11-08
DOI
https://doi.org/10.1016/j.xpro.2025.104161
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
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article

Protocol for an automated virtual screening pipeline including library generation and docking evaluation

Jorge Ripoll‐Rozada, José A. Manso, Sandra Macedo‐Ribeiro, Pedro José Barbosa Pereira
STAR Protocols
Computational Drug Discovery Methods
article

Protocol for an automated virtual screening pipeline including library generation and docking evaluation

Jorge Ripoll‐Rozada, José A. Manso, Sandra Macedo‐Ribeiro, Pedro José Barbosa Pereira
article en

Abstract

Here, we present a protocol for an automated virtual screening pipeline. We describe steps for generating compound libraries for computational docking including Food and Drug Administration (FDA)-approved drugs, setting up the receptor and grid box, and docking a library of compounds. We then detail procedures for ranking docking results. This protocol offers scripts for Unix-like systems, lowering the access barrier for researchers interested in structure-based drug discovery and supporting more experienced users by improving the efficiency of their studies.

STAR ProtocolsVol. 6(4)
Instituto de Biomedicina y Biotecnología de Cantabria (ES), i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto (PT)
Openalex Percentile: Top 66%
Computational Drug Discovery Methods
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