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Updated: Feb 13, 2026

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Pharmacophore and structure-based drug design, molecular dynamics and admet/tox studies to design novel potential
Mariana P Barcellos1, Cleydson B R Santos2, Leonardo B Federico1
1a Faculdade de Ciências Farmacêuticas de Ribeirão Preto , Universidade de São Paulo , Av. do café, s/n, Ribeirão Preto-SP 14040-903 , Brazil.
Abstract:
We have used docking (GLIDE), pharmacophore modeling (Discovery Studio), long trajectory molecular dynamics (Discovery Studio) and ADMET/Tox (QikProp and DEREK) to investigate PAD4 in order to determine potential novel inhibitors and hits. We have carried out virtual screening in the ZINC natural compounds database. Pharmacokinetics and Toxicity of the best hits were assessed using databases implemented in softwares that create models based on chemical structures taking into account consideration about the toxicophoric groups. A wide variety of pharmaceutical relevant properties are determined in order to make decisions about molecular suitability. After screening and analysis, the 6 most promising PAD4 inhibitors are suggested, with strong interactions (pi-stacking, hydrogen bonds, hydrophobic contacts) and suitable pharmacotherapeutic profile as well.
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