Structural and immunological impacts of TOLLIP nsSNPs: A computational biology approach to drug discovery and immune system modulation

Toll-Interacting Protein (TOLLIP) serves as key adaptor molecule in innate immune signaling, modulating toll-like receptors (TLRs) and interleukin-1 (IL-1) pathway. Despite its central role, the functional impact of non-synonymous single nucleotide polymorphism (nsSNPs) on TOLLIP remains unclear. Using an integrated computational approach, we screened 150 TOLLIP nsSNPs through consensus predictive tools including PROVEAN, PANTHER, SNPs & GO and SIFT. This approach identified four high confidence deleterious variants (R28Q, T40M, P59L, and R200C) with strong potential to compromise TOLLIP protein stability and function. Structural analysis and energy minimization suggested subtle confirmation changes and destabilizing effect, while TM-align displayed preservation of overall folding (TM-score >0.99, RMSD <0.54 Å). Evolutionary conservation, phylogenetic analysis, and protein-protein interaction (PPI) analysis underscored the functional and confirmation importance of these residues. Notably, molecular docking and dynamic simulations revealed that T40M and R200C variants significantly enhance binding affinity for the Afimetoran. Additionally, molecular dynamics (MD) simulations highlighted the altered flexibility, solvent accessibility and modified hydrogen bonds in mutant proteins structure, suggesting potential mechanisms for functional disruption. Collectively, these findings elucidate the structural and functional consequences of nsSNPs on TOLLIP protein stability, and provide a rational base for targeted therapeutic strategies in immune related diseases.

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Publication Details

Journal
PLoS ONE
Published
2025-11-13
DOI
https://doi.org/10.1371/journal.pone.0328573
Primary Topic
vaccines and immunoinformatics approaches
Type
article
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article

Structural and immunological impacts of TOLLIP nsSNPs: A computational biology approach to drug discovery and immune system modulation

Wei Yang, Saqib Ishaq, Zesong Li, Aishma Khattak et al.
PLoS ONE
vaccines and immunoinformatics approaches
article

Structural and immunological impacts of TOLLIP nsSNPs: A computational biology approach to drug discovery and immune system modulation

Wei Yang, Saqib Ishaq, Zesong Li, Aishma Khattak, Qurban Ali, Kamran Habib, Kainat Bukhari, Ajaz Ahmad, Obaid Habib, Amin Ullah
article en

Abstract

Toll-Interacting Protein (TOLLIP) serves as key adaptor molecule in innate immune signaling, modulating toll-like receptors (TLRs) and interleukin-1 (IL-1) pathway. Despite its central role, the functional impact of non-synonymous single nucleotide polymorphism (nsSNPs) on TOLLIP remains unclear. Using an integrated computational approach, we screened 150 TOLLIP nsSNPs through consensus predictive tools including PROVEAN, PANTHER, SNPs & GO and SIFT. This approach identified four high confidence deleterious variants (R28Q, T40M, P59L, and R200C) with strong potential to compromise TOLLIP protein stability and function. Structural analysis and energy minimization suggested subtle confirmation changes and destabilizing effect, while TM-align displayed preservation of overall folding (TM-score >0.99, RMSD <0.54 Å). Evolutionary conservation, phylogenetic analysis, and protein-protein interaction (PPI) analysis underscored the functional and confirmation importance of these residues. Notably, molecular docking and dynamic simulations revealed that T40M and R200C variants significantly enhance binding affinity for the Afimetoran. Additionally, molecular dynamics (MD) simulations highlighted the altered flexibility, solvent accessibility and modified hydrogen bonds in mutant proteins structure, suggesting potential mechanisms for functional disruption. Collectively, these findings elucidate the structural and functional consequences of nsSNPs on TOLLIP protein stability, and provide a rational base for targeted therapeutic strategies in immune related diseases.

PLoS ONEVol. 20(11)
Shaheed Benazir Bhutto Women University Peshawar (PK), Bacha Khan University (PK), University of the Punjab (PK), Kohat University of Science and Technology (PK), Shenzhen University (CN), King Saud University (SA), Iqra National University (PK), Shenzhen Second People's Hospital (CN)
Openalex Percentile: Top 70%
vaccines and immunoinformatics approaches
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