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Updated: Jul 29, 2025

Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
Molecular Dynamics Simulation-Driven Focused Virtual Screening and Experimental Validation of Inhibitors for
Yadi Xu1, Xiaoyu Guo1, Dengjie Yan1
1Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry and Sichuan Province, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu 610041, China.
Abstract:
Protein-protein interactions (PPIs), in general, are attractive yet challenging drug targets. As a typical PPI, MTDH-SND1 interaction has recently been reported to be a promising drug target to malignant breast cancer and other cancer types. However, the lack of well-defined deep pockets on the MTDH-SND1 interface makes it a tough target for rational drug discovery attempts. To address this issue, in this study, a long time-scale molecular dynamics (MD) simulation-driven focused screening strategy was proposed and reported. A total of 12 virtual hits were purchased and tested in SPR assay, yielding 10 SND1 binders with micromolar or less affinities. As an example, compound L5, the second best hit with a KD of 2.64 μM, was further assayed in MDA-MB-231 breast cancer cells, showing an antiproliferation IC50 value of 57 μM in a CCK8 assay with a dampened interruption between MTDH and SND1 proteins detected by immunofluorescence colocalization imaging. As the most potent small molecule inhibitor in the class so far, our preliminary study combining molecular dynamics simulation and in vitro cellular functional evidence indicates L5 could serve as a lead compound for future optimization or pharmacologic studies, and the MD-driven focused screening strategy could be useful for other PPI drug discovery attempts.
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