Virtual screening and molecular dynamics simulation study of ATP-competitive inhibitors targeting mTOR protein

In order to explore efficient ATP-competitive mTOR inhibitors and aid the development of targeted anticancer drugs, this study focuses on virtual screening and molecular dynamics simulations. The compounds were sourced from the ChemDiv commercial compound library, and through virtual screening, 50 ligands with favorable binding modes and excellent docking scores were selected from 902,998 compounds. Molecular dynamics simulations, including RMSD (Root Mean Square Deviation) and RMSF (Root Mean Square Fluctuation), were used to further evaluate these 50 ligands. Structural stability, key residue interactions, hydrogen bonding, binding free energy, and other factors were quantitatively and qualitatively analyzed. Top1, top2, and top6, which exhibited outstanding performance, were identified. Simulations revealed that they bind stably in the active region of the mTOR protein, forming hydrogen bonds, π-π interactions, and hydrophobic interactions with key amino acid residues such as VAL-2240 and TRP-2239. This study provides a solid theoretical foundation for the development of mTOR inhibitors. Subsequent efforts will focus on optimizing these compounds, targeting structural adjustments to enhance their biological activity and specificity towards mTOR, thereby achieving more precise targeting and treatment of tumors.

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Publication Details

Journal
PLoS ONE
Published
2025-05-05
DOI
https://doi.org/10.1371/journal.pone.0319608
Citations
3
Primary Topic
PI3K/AKT/mTOR signaling in cancer
Type
article
Field-Weighted Citation Impact
2.42
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article

Virtual screening and molecular dynamics simulation study of ATP-competitive inhibitors targeting mTOR protein

Jieyan Wang, Hao Yu, Zhu Wang, Haolong Li et al.
3 citations
PLoS ONE
PI3K/AKT/mTOR signaling in cancer
2.42
article

Virtual screening and molecular dynamics simulation study of ATP-competitive inhibitors targeting mTOR protein

Jieyan Wang, Hao Yu, Zhu Wang, Haolong Li, Hui Liang, Qiong Deng, Meiyu Jin
article en
3 citations

Abstract

In order to explore efficient ATP-competitive mTOR inhibitors and aid the development of targeted anticancer drugs, this study focuses on virtual screening and molecular dynamics simulations. The compounds were sourced from the ChemDiv commercial compound library, and through virtual screening, 50 ligands with favorable binding modes and excellent docking scores were selected from 902,998 compounds. Molecular dynamics simulations, including RMSD (Root Mean Square Deviation) and RMSF (Root Mean Square Fluctuation), were used to further evaluate these 50 ligands. Structural stability, key residue interactions, hydrogen bonding, binding free energy, and other factors were quantitatively and qualitatively analyzed. Top1, top2, and top6, which exhibited outstanding performance, were identified. Simulations revealed that they bind stably in the active region of the mTOR protein, forming hydrogen bonds, π-π interactions, and hydrophobic interactions with key amino acid residues such as VAL-2240 and TRP-2239. This study provides a solid theoretical foundation for the development of mTOR inhibitors. Subsequent efforts will focus on optimizing these compounds, targeting structural adjustments to enhance their biological activity and specificity towards mTOR, thereby achieving more precise targeting and treatment of tumors.

PLoS ONEVol. 20(5)
Jilin University (CN), Chinese Academy of Sciences (CN), ShenZhen People’s Hospital (CN), Shenzhen Institutes of Advanced Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 12%
PI3K/AKT/mTOR signaling in cancer
2.42
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Virtual screening and molecular dynamics simulation study of ATP-competitive inhibitors targeting mTOR protein — Jieyan Wang, Hao Yu, et al. · PLoS ONE (2025) | TGRS Research Map | TGRS