Evidence map›Paper›PMID 38773180›Full record

ArticleScientific reports2024

In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene.

Md Mostafa Kamal, Md Sohel Mia, Md Omar Faruque, Md Golam Rabby, Md Numan Islam, Md Enamul Kabir Talukder, Tanveer A Wani, M Atikur Rahman, Md Mahmudul Hasan

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Cancer-associated TRF1 mutations alter PARP1 interaction dynamics: an in silico study.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  3. Article
  4. Article
  5. Evaluation ofCurrent protein & peptide science · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

9 authors.

Md Mostafa KamalDepartment of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.ORCID 0000-0002-0266-4711
Md Sohel MiaDepartment of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Md Omar FaruqueDepartment of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Md Golam RabbyDepartment of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh.
Md Numan IslamDepartment of Food Engineering, North Pacific International University of Bangladesh, Dhaka, Bangladesh.
Md Enamul Kabir TalukderLaboratory of Computational Biology, Biological Solution Centre, Jashore, 7408, Bangladesh.
Tanveer A WaniDepartment of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, 11451, Riyadh, Saudi Arabia.
M Atikur RahmanDepartment of Biological Sciences, Alabama State University, 915 S Jackson St, Montgomery, AL, 36104, USA. mrahman@alasu.edu.ORCID 0000-0002-6065-3738
Md Mahmudul HasanDepartment of Nutrition and Food Technology, Jashore University of Science and Technology, Jashore, 7408, Bangladesh. hasanm_agb@yahoo.com.ORCID 0000-0003-2000-380X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single nucleotide polymorphisms (SNPs) are one of the most common determinants and potential biomarkers of human disease pathogenesis. SNPs could alter amino acid residues, leading to the loss of structural and functional integrity of the encoded protein. In humans, members of the minichromosome maintenance (MCM) family play a vital role in cell proliferation and have a significant impact on tumorigenesis. Among the MCM members, the molecular mechanism of how missense SNPs of minichromosome maintenance complex component 6 (MCM6) contribute to DNA replication and tumor pathogenesis is underexplored and needs to be elucidated. Hence, a series of sequence and structure-based computational tools were utilized to determine how mutations affect the corresponding MCM6 protein. From the dbSNP database, among 15,009 SNPs in the MCM6 gene, 642 missense SNPs (4.28%), 291 synonymous SNPs (1.94%), and 12,500 intron SNPs (83.28%) were observed. Out of the 642 missense SNPs, 33 were found to be deleterious during the SIFT analysis. Among these, 11 missense SNPs (I123S, R207C, R222C, L449F, V456M, D463G, H556Y, R602H, R633W, R658C, and P815T) were found as deleterious, probably damaging, affective and disease-associated. Then, I123S, R207C, R222C, V456M, D463G, R602H, R633W, and R658C missense SNPs were found to be highly harmful. Six missense SNPs (I123S, R207C, V456M, D463G, R602H, and R633W) had the potential to destabilize the corresponding protein as predicted by DynaMut2. Interestingly, five high-risk mutations (I123S, V456M, D463G, R602H, and R633W) were distributed in two domains (PF00493 and PF14551). During molecular dynamics simulations analysis, consistent fluctuation in RMSD and RMSF values, high Rg and hydrogen bonds in mutant proteins compared to wild-type revealed that these mutations might alter the protein structure and stability of the corresponding protein. Hence, the results from the analyses guide the exploration of the mechanism by which these missense SNPs of the MCM6 gene alter the structural integrity and functional properties of the protein, which could guide the identification of ways to minimize the harmful effects of these mutations in humans.

Indexed as

Minichromosome Maintenance Complex Component 6Mutation, MissensePolymorphism, Single NucleotideComputer SimulationHumansMolecular Dynamics SimulationMCM6 protein, humanMinichromosome Maintenance Complex Component 6Missense SNPsPathogenicity prediction and computational toolsSingle nucleotide polymorphisms

Identifiers

PMID38773180
PMCPMC11109216

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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.