ArticleCurrent computer-aided drug design2026
Designing and Evaluation of a Novel IL-1RA Fusion Cytokine to Enhance the Pharmacokinetics and Receptor Affinity for Better Therapeutic Intervention in Inflammatory Disorders.
Article in Current computer-aided drug design, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Current application, possibilities, and challenges of artificial intelligence in the management of rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis.Therapeutic advances in musculoskeletal disease · 2025Review
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe extended IL-1 activity is implicated in autoimmune disorders, such as rheumatoid arthritis, diabetes mellitus, and Parkinson's disease, as well as delayed wound healing. Additionally, it can result in cytokine storms during pathogenic infections.
methodsThe regulation was carried out by Interleukin-1 receptor antagonist (IL-1RA), a key anti-inflammatory molecule. IL-1RA serves as a decoy protein that competes with Interleukin-1 receptors (IL-1RI and IL-1RII) for binding, effectively counteracting the activity of Interleukin- 1 (IL-1). The deficiency was substantiated by commercially available recombinant IL-1RA called Anakinra. The main problem with the existing drug is that it has less pharmacokinetics and reduced binding affinity to its receptor, which requires frequent administration of the drug. To overcome these drawbacks, we have designed a new fusion protein by adding an Fc fragment of Human IgGI fused with IL-1RA using a linker in between, and the design aimed to transport the protein into the N-glycosylation pathway. These characteristic features increase the pharmacokinetics, solubility, and binding efficiency of the protein. As the protein was designed to be expressed in a eukaryotic system, to understand the possibility of the proposed hypothesis, we used machine learning-based AlphaFold2 to model the protein structure and molecular simulation studies to understand the functional integrity of the designed protein. RESULTS AND DISCUSSION: The in silico results showed that the modeled fusion protein structure has very good binding to its receptor with the support of 21 H bonds and 7 salt bridges and maintained the binding stability over the MD simulations.
conclusionThese findings support fusion protein's potential as a promising and stable therapeutic candidate.
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