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Article

In Silico Prediction of Potential pTLR7/pSTING Dual-Targeting Ligands via Virtual Screening and Molecular Dynamics Simulation

Key Laboratory of New Animal Drug of Gansu Province, Key Laboratory of Veterinary Pharmaceutical Development of Ministry of Agriculture, Lanzhou Institute of Husbandry and Pharmaceutical Science of Chinese Academy Agriculture Sciences, Lanzhou 730050, China
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Authors to whom correspondence should be addressed.
Int. J. Mol. Sci. 2026, 27(1), 338; https://doi.org/10.3390/ijms27010338 (registering DOI)
Submission received: 14 November 2025 / Revised: 17 December 2025 / Accepted: 24 December 2025 / Published: 28 December 2025
(This article belongs to the Section Molecular Immunology)

Abstract

Toll-like receptor 7 (TLR7) and Stimulator of Interferon Genes (STING) ligands possess a series of immunomodulatory effects such as anti-infection, anti-tumor, and autoimmune-disease-alleviating effects. In this study, porcine TLR7 (pTLR7) and porcine STING (pSTING) were selected as targets, and molecular docking and virtual screening methods were used for screening of dual-target livestock immunomodulators. Finally, two compounds were screened with molecular docking scores higher than the positive control compounds. They have good binding ability with pTLR7 and pSTING proteins, as well as satisfactory predictive safety and pharmacokinetic properties. Molecular dynamics (MD) simulation results also indicated that the above ligands can form stable complexes with two target proteins. The average binding free energies of compound 2 with pTLR7 and pSTING were −28.65 kcal/mol and −30.12 kcal/mol, respectively, and of compound 7 with pTLR7 and pSTING were −35.93 kcal/mol and −31.70 kcal/mol, respectively, which were comparable to that of positive control ligands. The similarity of target proteins between pigs, humans, and mice, as well as the interactions between ligands and TLR7 and STING in different species, were analyzed. And analysis of predicted structure–activity relationship (SAR) was conducted. Briefly, compound 2 and compound 7 were predicted to form stable complexes with pTLR7 and pSTING, with satisfactory predicted physicochemical properties and pharmacokinetic characteristics, and represented candidates for experimental validation. This study supplies a research basis for the development, design, and structural modification of immune enhancers for animals.
Keywords: TLR7 ligands; STING ligands; dual-targeting drugs; virtual screening; molecular dynamics simulation TLR7 ligands; STING ligands; dual-targeting drugs; virtual screening; molecular dynamics simulation

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MDPI and ACS Style

Liu, C.; Qin, Z.; Bai, L.; Xu, X.; Ge, W.; Li, Z.; Li, J. In Silico Prediction of Potential pTLR7/pSTING Dual-Targeting Ligands via Virtual Screening and Molecular Dynamics Simulation. Int. J. Mol. Sci. 2026, 27, 338. https://doi.org/10.3390/ijms27010338

AMA Style

Liu C, Qin Z, Bai L, Xu X, Ge W, Li Z, Li J. In Silico Prediction of Potential pTLR7/pSTING Dual-Targeting Ligands via Virtual Screening and Molecular Dynamics Simulation. International Journal of Molecular Sciences. 2026; 27(1):338. https://doi.org/10.3390/ijms27010338

Chicago/Turabian Style

Liu, Chang, Zhe Qin, Lixia Bai, Xiao Xu, Wenbo Ge, Zhun Li, and Jianyong Li. 2026. "In Silico Prediction of Potential pTLR7/pSTING Dual-Targeting Ligands via Virtual Screening and Molecular Dynamics Simulation" International Journal of Molecular Sciences 27, no. 1: 338. https://doi.org/10.3390/ijms27010338

APA Style

Liu, C., Qin, Z., Bai, L., Xu, X., Ge, W., Li, Z., & Li, J. (2026). In Silico Prediction of Potential pTLR7/pSTING Dual-Targeting Ligands via Virtual Screening and Molecular Dynamics Simulation. International Journal of Molecular Sciences, 27(1), 338. https://doi.org/10.3390/ijms27010338

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