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45/100

✓ Peer-reviewed alzhub usefulness score 45 out of 100. Disease mechanisms

Topic: Amyloid, tau and blood-test diagnosis

Alzheimer's disease is a neurodegenerative disorder characterized by two hallmarks: amyloid beta plaques and neurofibrillary tangles. The receptor for advanced glycation end products (RAGE) is a multi-ligand receptor involved in the pathophysiology of various diseases including cancer, diabetes, cardiovascular diseases, and Alzheimer's disease (AD). Therefore, targeting RAGE could be an effective strategy to block RAGE signaling pathways. The present study aims to identify potential RAGE inhibitors against AD through comprehensive in-silico approaches. A total of 708,580 compounds were screened from numerous databases using structure-based virtual screening and ADMET evaluation. Further, the molecules with good glide scores were assessed by molecular docking studies. Subsequently, the top six ligands were subjected to molecular dynamic (MD) simulations for 100 ns and binding free energy calculations to check their stability with RAGE (PDB: 6XQ3). The per-residue decomposition analysis revealed that specific residues namely, GLY_20, ALA_21, LYS_39, GLU_50, LYS_52, ARG_98, GLN_100, LYS_110, ASN_112, and ARG_198 played a key role in the binding process. Furthermore, the trajectory analysis (DCCM and PCA) analyzed the dominant motions of residues and predicted the stability of protein-ligand complexes. In conclusion, the Hit-6 compound could be a promising candidate for targeting RAGE and deserves further consideration as an anti-Alzheimer drug.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Bhogal, I., Pankaj, V., & Roy, S. (2025). Identifying RAGE inhibitors as potential therapeutics for Alzheimer’s disease via integrated in-silico approaches. Scientific Reports. https://doi.org/10.1038/s41598-025-01271-0

Vancouver

Bhogal I, Pankaj V, Roy S. Identifying RAGE inhibitors as potential therapeutics for Alzheimer’s disease via integrated in-silico approaches. Scientific Reports. 2025. doi:10.1038/s41598-025-01271-0. PMID: 40404684.

BibTeX

@article{bhogal2025-40404684,
  author  = {Bhogal, Inderjeet and Pankaj, Vaishali and Roy, Sudeep},
  title   = {{Identifying RAGE inhibitors as potential therapeutics for Alzheimer’s disease via integrated in-silico approaches}},
  journal = {Scientific Reports},
  year    = {2025},
  doi     = {10.1038/s41598-025-01271-0},
  pmid    = {40404684},
  url     = {https://doi.org/10.1038/s41598-025-01271-0}
}

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Key findings

The per-residue decomposition analysis revealed that specific residues namely, GLY_20, ALA_21, LYS_39, GLU_50, LYS_52, ARG_98, GLN_100, LYS_110, ASN_112, and ARG_198 played a key role in the binding process.
In conclusion, the Hit-6 compound could be a promising candidate for targeting RAGE and deserves further consideration as an anti-Alzheimer drug.

Why it matters

This is a computer-based (in-silico) study that screened many compounds and identified one, Hit-6, as a possible RAGE inhibitor worth further study. No laboratory or human testing was done, so it does not yet show any treatment or prevention benefit for Alzheimer's disease.

Study details

Participants708,580
Evidence strengthLow

How this study scored 45/100

Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (Scientific Reports)
Journal's citation record	3 / 4	Scientific Reports: journal h-index 463 (OpenAlex, 2026-10-29)
Study design	0 / 12	No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence	1 / 5	Rated “low” in our summary
Peer-review validation	10 / 10	Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent	4 / 5	2025 — within 3 year(s) of the newest study here
Sample size	4 / 4	708,580 participants
Effect reported	0 / 3	No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people	3 / 3	Studied in people (participant count stated)
Randomised / blinded	0 / 2	No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited	2 / 7	Cited 7 times (OpenAlex, 2026-10-10)
Citations per year	1 / 5	2.3 citations a year over 3 year(s) since 2025
Impact for its field and year	3 / 6	Cited 3.5× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here	0 / 6	No other study in this library cites it
Still being cited	1 / 4	Cited 7 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	2 / 4	Last-listed author Sudeep Roy: h-index 21 (OpenAlex, whole career)
Institution's track record	0 / 3	Brno University of Technology: institution h-index 250 (OpenAlex)
Multi-centre collaboration	0 / 3	OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete)
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 40404684)
Free to read	2 / 2	Free to read
Total	45 / 100	—

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