Evidence map›Paper›PMID 41231851›Full record

ArticlePloS one2025

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

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

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Obaid HabibGuangdong Provincial Key Laboratory of System Biology and Synthetics Biology for Urogenital Tumors, School of Basic Medicine, Shenzhen University Medical School, Shenzhen University (SZU), Shenzhen, Guangdong, China.
Saqib IshaqGuangdong Provincial Key Laboratory of System Biology and Synthetics Biology for Urogenital Tumors, School of Basic Medicine, Shenzhen University Medical School, Shenzhen University (SZU), Shenzhen, Guangdong, China.
Kamran HabibDepartment of Botany, Khushal Khan Khattak University, Karak (KKKUK), Khyber Pakhtunkhwa, Pakistan.
Aishma KhattakDepartment of bioinformatics, Shaheed Benazir Bhutto Women University Peshawar, Peshawar, Pakistan.
Wei YangGuangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Shenzhen Key Laboratory of Genitourinary Tumor, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China.
Zesong LiGuangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Shenzhen Key Laboratory of Genitourinary Tumor, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China.
Kainat BukhariDepartment of Biotechnology and Genetic Engineering Kohat University of Science and Technology, Kohat Khyber Pakthunkhwa, Pakistan.
Amin UllahDepartment of Allied health sciences, Molecular biology Laboratory, Iqra National University (INU) Peshawar, Peshawar, Pakistan.
Ajaz AhmadDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Qurban AliDepartment of Plant Breeding and Genetics, Faculty of Agriculture Sciences, University of the Punjab, Lahore, Pakistan.ORCID https://orcid.org/0000-0002-3160-4830

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Computational BiologyDrug DiscoveryIntracellular Signaling Peptides and ProteinsPolymorphism, Single NucleotideHumansMolecular Docking SimulationMolecular Dynamics SimulationPhylogenyProtein StabilityIntracellular Signaling Peptides and ProteinsTOLLIP protein, human

Identifiers

PMID41231851
PMCPMC12614547

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.