Evidence map›Paper›PMID 40591233›Full record

ArticleMolecular diversity2026

Deciphering the inhibitory mechanisms of Interleukin-17A through dynamic molecular insights: a path toward novel anti-inflammatory therapies.

Afsheen Razzaq, Madiha Sardar, Mamona Mushtaq, Yan Wang, Mohammad Nur-E-Alam, Zaheer Ul-Haq

Abstract read
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In one paragraph

Article in Molecular diversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Afsheen RazzaqH. E. J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan.
Madiha SardarH. E. J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan.
Mamona MushtaqDr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan.
Yan WangState Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources (Ministry of Education of China), Guangxi Normal University, Guilin, 541004, China.
Mohammad Nur-E-AlamDepartment of Pharmacognosy, College of Pharmacy, King Saud University, P.O. Box. 2457, 11451, Riyadh, Kingdom of Saudi Arabia.
Zaheer Ul-HaqDr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan. zaheer.qasmi@iccs.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IL-17A is a pivotal pro-inflammatory cytokine implicated in a wide spectrum of immunological responses. However, its dysregulation is linked to the progression of various pathological conditions, from mild inflammation to malignant cancers. When IL-17A binds to its cognate receptor, IL-17RA, it forms a complex that initiates a series of molecular signaling cascades within the cell, contributing to various inflammatory processes. Currently, there are no specific oral drugs targeting this pathway, underscoring the urgent need for novel non-inflammatory drugs to address autoimmune and inflammatory diseases. Targeting IL-17A presents a unique opportunity to develop innovative therapies for autoimmune conditions. This research employs ligand-based pharmacophore modeling, followed by screening and docking simulations found six potential drugs that effectively disrupt the IL-17A-IL-17RA combination. Molecular dynamics simulations further demonstrated the stability and inhibitory potential of these compounds, highlighting their interactions within the IL-17A binding site. These interactions involve key residues such as Arg39, Trp51, Trp67, Gln94, Glu95, Leu97, Leu99, Lys114, and Ser118, which are crucial for locking the associated signaling cascade. Mechanistic studies, including dynamic simulations and calculation of free energy, support the efficacy of the identified compounds. Notably, Compounds 1 and 4 exhibit higher binding affinities compared to the native reference inhibitor of target. Our results revealed that both the peptide (Compound 1) and macrocyclic compounds (Compound 3) significantly disrupt the IL-17A/IL-17RA complex, confirming the validity of our approach and reinforcing its potential therapeutic relevance, as highlighted in prior studies. These IL-17A inhibitors show enormous promise as prospective therapeutic candidates for the treatment of inflammatory disorders.

Indexed as

Anti-Inflammatory AgentsInterleukin-17Molecular Dynamics SimulationBinding SitesHumansLigandsMolecular Docking SimulationProtein BindingReceptors, Interleukin-17Anti-Inflammatory AgentsInterleukin-17LigandsReceptors, Interleukin-17Binding free energy calculationIL-17AIL-17RAInflammationMolecular dockingMolecular dynamic simulationPharmacophore modelVirtual screening

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Registered trials

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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.