Virtual Screening of FDA-Approved Compounds: Exploring New Alternatives for HIV Treatment

Human immunodeficiency virus (HIV) infection remains a significant public health challenge, particularly because of the emergence of drug-resistant strains against the drugs currently used in highly active antiretroviral therapy (HAART). The ongoing search for new molecules with therapeutic potential remains crucial. In this study, a virtual screening approach was employed to identify novel candidates with therapeutic potential for HIV. High-throughput screening (HTS) data were used to train and validate quantitative structure-activity relationship (QSAR) models, which were subsequently applied to screen a library of Food and Drug Administration (FDA) approved molecules. The most promising compounds were further evaluated through molecular docking assays and pharmacokinetic property predictions. This process led to the identification of a set of molecules with the potential for further investigation, demonstrating the effectiveness of this approach in drug discovery and repurposing.

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Publication Details

Journal
ACS Omega
Published
2026-02-18
DOI
https://doi.org/10.1021/acsomega.5c06562
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Virtual Screening of FDA-Approved Compounds: Exploring New Alternatives for HIV Treatment

Daniela Peres Martinez, Frederico S. Kremer
ACS Omega
Computational Drug Discovery Methods
article

Virtual Screening of FDA-Approved Compounds: Exploring New Alternatives for HIV Treatment

Daniela Peres Martinez, Frederico S. Kremer
article en

Abstract

Human immunodeficiency virus (HIV) infection remains a significant public health challenge, particularly because of the emergence of drug-resistant strains against the drugs currently used in highly active antiretroviral therapy (HAART). The ongoing search for new molecules with therapeutic potential remains crucial. In this study, a virtual screening approach was employed to identify novel candidates with therapeutic potential for HIV. High-throughput screening (HTS) data were used to train and validate quantitative structure-activity relationship (QSAR) models, which were subsequently applied to screen a library of Food and Drug Administration (FDA) approved molecules. The most promising compounds were further evaluated through molecular docking assays and pharmacokinetic property predictions. This process led to the identification of a set of molecules with the potential for further investigation, demonstrating the effectiveness of this approach in drug discovery and repurposing.

ACS OmegaVol. 11(8)
Universidade Federal de Pelotas (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Division of Graduate Education
Good health and well-being
Openalex Percentile: Top 49%
Computational Drug Discovery Methods
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Virtual Screening of FDA-Approved Compounds: Exploring New Alternatives for HIV Treatment — Daniela Peres Martinez, Frederico S. Kremer · ACS Omega (2026) | TGRS Research Map | TGRS