Evidence map›Paper›PMID 40206634›Full record

ArticleFrontiers in bioinformatics2025

Comprehensive structural and functional analyses of RAD50 nsSNPs: from prediction to impact assessment.

Samina Malik, Mirza Jawad Ul Hasnain, Gul Zaib, Haleema Saadia, Arif Malik, Ayesha Zahid

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 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

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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

6 authors.

Samina Malik *University College of Medicine and Dentistry, The University of Lahore, IMBB, UOL, Lahore, Pakistan.
Mirza Jawad Ul Hasnain *Department of Biological Sciences, Virtual University of Pakistan, Islamabad, Pakistan.
Gul ZaibSchool of Pain and Regenerative Medicine, The University of Lahore, IMBB, UOL, Lahore, Pakistan.
Haleema SaadiaSchool of Pain and Regenerative Medicine, The University of Lahore, IMBB, UOL, Lahore, Pakistan.
Arif MalikSchool of Pain and Regenerative Medicine, The University of Lahore, IMBB, UOL, Lahore, Pakistan.
Ayesha ZahidSchool of Pain and Regenerative Medicine, The University of Lahore, IMBB, UOL, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The RAD50 gene on chromosome 5q3.11 plays an important role in the MRN (Mre11-Rad50-Nbs1) complex. This complex orchestrates cellular responses to the DNA double-strand breaks (DSBs) through several pathways for genome stability. This study aims to investigate the functional impact of non-synonymous single-nucleotide polymorphisms (nsSNPs) in RAD50 (a breast cancer-associated gene) and focuses on their consequences on protein structure and interaction within the MRN complex. Methods: A total of 1,806 nsSNPs were retrieved and subjected to variant analysis using a set of computational tools and ConSurf. Pathogenicity and protein stability criteria were established based on specific tools. Highly conserved damaging nsSNPs were prioritized for the structural analysis. GOR-IV was used for secondary structure prediction, whereas AlphaFold, RoseTTAFold, and I-TASSER were used for protein structure prediction. The docking of RAD50-Mre11A complexes was performed using HADDOCK to assess the impact of nsSNPs on protein-protein interactions. Molecular dynamic simulation was performed to verify the role of mutants in molecular docking analysis. Results: A subset of pathogenic and disease-associated nsSNPs in the RAD50 gene altered the protein stability and interactions with the Mre11A protein. Substantial alterations in the interacting profiles of mutants (A73P, V117F, L518P, L1092R, N1144S, and A1209T) suggest potential implications for DNA repair mechanisms and genome stability. Conclusion: The study discloses the normative impact of RAD50 mutations on the pathophysiology of breast cancer. It can provide the basis to treat RAD50 mutation-deficient cells.

Indexed as

breast cancerdockingMRE11ARad50simulation

Identifiers

PMID40206634
PMCPMC11979129

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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.