ArticleProteins2021
A fragment-based approach to discovery of Receptor for Advanced Glycation End products inhibitors.
Article in Proteins, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- Structure-guided discovery of a dual JAK2/RAGE modulator reveals a computationally driven strategy for targeting convergent oncogenic signaling in renal cell carcinoma.Journal of computer-aided molecular design · 2026Article
- Development of New Benzo[b]Thiophene-2-Carboxamide Derivatives as Advanced Glycation End-Products Receptor (RAGE) Antagonists.ChemMedChem · 2026Article
- Naringenin as a dual-target modulator of RAGE-NF-κB signaling and Aβ fibrillization in Alzheimer's disease: integrated computational and experimental analyses.Frontiers in pharmacology · 2026Article
- Identifying RAGE inhibitors as potential therapeutics for Alzheimer's disease via integrated in-silico approaches.Scientific reports · 2025Article
- Molecular Basis for the Involvement of Mammalian Serum Albumin in the AGE/RAGE Axis: A Comprehensive Computational Study.International journal of molecular sciences · 2024Article
- RAGE Inhibitors in Neurodegenerative Diseases.Biomedicines · 2023Review
- Discovery of Potential RAGE inhibitors using Receptor-Based Pharmacophore Modeling, High Throughput Virtual Screening and Docking Studies.Journal of biotechnology and biomedicine · 2023Article
- Therapeutic potential of targeting the receptor for advanced glycation end products (RAGE) by small molecule inhibitors.Drug development research · 2022Review
- Review
- ProxyBind: A compendium of binding sites for proximity-induced pharmacology.Computational and structural biotechnology journal · 2022Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
The Receptor for Advanced Glycation End products (RAGE) is a pattern recognition receptor that signals for inflammation via the NF-κB pathway. RAGE has been pursued as a potential target to suppress symptoms of diabetes and is of interest in a number of other diseases associated with chronic inflammation, such as inflammatory bowel disease and bronchopulmonary dysplasia. Screening and optimization have previously produced small molecules that inhibit the activity of RAGE in cell-based assays, but efforts to develop a therapeutically viable direct-binding RAGE inhibitor have yet to be successful. Here, we show that a fragment-based approach can be applied to discover fundamentally new types of RAGE inhibitors that specifically target the ligand-binding surface. A series of systematic assays of structural stability, solubility, and crystallization were performed to select constructs of the RAGE ligand-binding domain and optimize conditions for NMR-based screening and co-crystallization of RAGE with hit fragments. An NMR-based screen of a highly curated ~14 000-member fragment library produced 21 fragment leads. Of these, three were selected for elaboration based on structure-activity relationships generated through cycles of structural analysis by X-ray crystallography, structure-guided design principles, and synthetic chemistry. These results, combined with crystal structures of the first linked fragment compounds, demonstrate the applicability of the fragment-based approach to the discovery of RAGE inhibitors.
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Registered trials
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.