ArticlePloS one2014
Computational screening and molecular dynamic simulation of breast cancer associated deleterious non-synonymous single nucleotide polymorphisms in TP53 gene.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed, 62 citations in OpenAlex.
- Integrated molecular dynamics elucidation of TP53 H179 zinc-binding variants: genomic and structural characterization across NSCLC subtypes.Frontiers in bioinformatics · 2026Article
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- Identification and In-Silico study of non-synonymous functional SNPs in the human SCN9A gene.PloS one · 2024Article
- In-silico assessment of high-risk non-synonymous SNPs in ADAMTS3 gene associated with Hennekam syndrome and their impact on protein stability and function.BMC bioinformatics · 2023Article
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- Novel protein contact points among TP53 and minichromosome maintenance complex proteins 2, 3, and 5.Cancer medicine · 2022Article
- Impact of deleterious missense PRKCI variants on structural and functional dynamics of protein.Scientific reports · 2022Article
- Novel Disease-Associated Missense Single-Nucleotide Polymorphisms Variants Predication by Algorithms Tools and Molecular Dynamics Simulation of Human TCIRG1 Gene Causing Congenital Neutropenia and Osteopetrosis.Frontiers in molecular biosciences · 2022Article
- A comprehensive in silico investigation into the nsSNPs of Drd2 gene predicts significant functional consequences in dopamine signaling and pharmacotherapy.Scientific reports · 2021Article
- NSG-Pro mouse model for uncovering resistance mechanisms and unique vulnerabilities in human luminal breast cancers.Science advances · 2021Article
- Computational SNP Analysis and Molecular Simulation Revealed the Most Deleterious Missense Variants in the NBD1 Domain of Human ABCA1 Transporter.International journal of molecular sciences · 2020Article
- Prediction of Deleterious Non-synonymous SNPs of Human STK11 Gene by Combining Algorithms, Molecular Docking, and Molecular Dynamics Simulation.Scientific reports · 2019Article
- Analysis of theInternational journal of molecular sciences · 2019Article
- Elevated expression of p53 in early colon polyps in a pig model of human familial adenomatous polyposis.Journal of applied genetics · 2018Article
- Breast cancer vaccination comes to age: impacts of bioinformatics.BioImpacts : BI · 2018Review
- In silico analyses of deleterious missense SNPs of human apolipoprotein E3.Scientific reports · 2017Article
- Influence of Cysteine and Tryptophan Substitution on DNA-Binding Activity on Maize α-Hairpinin Antimicrobial Peptide.Molecules (Basel, Switzerland) · 2016Article
- Article
- Investigating DNA Binding and Conformational Variation in Temperature Sensitive p53 Cancer Mutants Using QM-MM Simulations.PloS one · 2015Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is one of the most common cancers among the women around the world. Several genes are known to be responsible for conferring the susceptibility to breast cancer. Among them, TP53 is one of the major genetic risk factor which is known to be mutated in many of the breast tumor types. TP53 mutations in breast cancer are known to be related to a poor prognosis and chemo resistance. This renders them as a promising molecular target for the treatment of breast cancer. In this study, we present a computational based screening and molecular dynamic simulation of breast cancer associated deleterious non-synonymous single nucleotide polymorphisms in TP53. We have predicted three deleterious coding non-synonymous single nucleotide polymorphisms rs11540654 (R110P), rs17849781 (P278A) and rs28934874 (P151T) in TP53 with a phenotype in breast tumors using computational tools SIFT, Polyphen-2 and MutDB. We have performed molecular dynamics simulations to study the structural and dynamic effects of these TP53 mutations in comparison to the wild-type protein. Results from our simulations revealed a detailed consequence of the mutations on the p53 DNA-binding core domain that may provide insight for therapeutic approaches in breast cancer.
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