» Articles » PMID: 32257056

Classification of VUS and Unclassified Variants in BRCT Repeats by Molecular Dynamics Simulation

Overview
Specialty Biotechnology
Date 2020 Apr 8
PMID 32257056
Citations 34
Authors
Affiliations
Soon will be listed here.
Abstract

Pathogenic mutation in gene is one of the most penetrant genetic predispositions towards cancer. Identification of the mutation provides important aspect in prevention and treatment of the mutation-caused cancer. Of the large quantity of genetic variants identified in human , substantial portion is classified as Variant of Uncertain Significance (VUS) or unclassified variants due to the lack of functional evidence. In this study, we focused on the VUS and unclassified variants in BRCT repeat located at C-terminal. Utilizing the well-determined structure of BRCT repeats, we measured the influence of the variants on the structural conformations of BRCT repeats by using molecular dynamics simulation (MDS) consisting of RMSD (Root-mean-square-deviation), RMSF (Root-mean-square-fluctuations), Rg (Radius of gyration), SASA (Solvent accessible surface area), NH bond (hydrogen bond) and Covariance analysis. Using this approach, we analyzed 131 variants consisting of 89 VUS (Variant of Uncertain Significance) and 42 unclassified variants (unclassifiable by current methods) within BRCT repeats and were able to differentiate them into 78 Deleterious and 53 Tolerated variants. Comparing the results made by the saturation genome editing assay, multiple experimental assays, and reference databases shows that our approach provides high specificity, sensitivity and robust. Our study opens an avenue to classify VUS and unclassified variants in many cancer predisposition genes with known protein structure.

Citing Articles

A novel small molecule ZYZ384 targeting SMYD3 for hepatocellular carcinoma via reducing H3K4 trimethylation of the Rac1 promoter.

Ding Q, Cai J, Jin L, Hu W, Song W, Rose P MedComm (2020). 2024; 5(10):e711.

PMID: 39286779 PMC: 11401973. DOI: 10.1002/mco2.711.


Comprehensive classification of TP53 somatic missense variants based on their impact on p53 structural stability.

Tam B, Lagniton P, Da Luz M, Zhao B, Sinha S, Lei C Brief Bioinform. 2024; 25(5).

PMID: 39140857 PMC: 11323084. DOI: 10.1093/bib/bbae400.


Cholinergic Inhibition and Antioxidant Potential of Gongronema latifolium Benth Leaf in Neurodegeneration: Experimental and In Silico Study.

Gyebi G, Ejoh J, Ogunyemi O, Afolabi S, Ibrahim I, Anyanwu G Cell Biochem Biophys. 2024; 83(1):1-23.

PMID: 39120857 DOI: 10.1007/s12013-024-01467-7.


A global perspective on the ethnic-specific variation and its implication in clinical application.

Wang S J Natl Cancer Cent. 2024; 3(1):14-20.

PMID: 39036311 PMC: 11256725. DOI: 10.1016/j.jncc.2022.12.001.


BRCA1 and Its Vulnerable C-Terminal BRCT Domain: Structure, Function, Genetic Mutations and Links to Diagnosis and Treatment of Breast and Ovarian Cancer.

Ismail T, Alzneika S, Riguene E, Al-Maraghi S, Alabdulrazzak A, Al-Khal N Pharmaceuticals (Basel). 2024; 17(3).

PMID: 38543119 PMC: 10974778. DOI: 10.3390/ph17030333.


References
1.
Benson N, Daggett V . A comparison of multiscale methods for the analysis of molecular dynamics simulations. J Phys Chem B. 2012; 116(29):8722-31. PMC: 3406285. DOI: 10.1021/jp302103t. View

2.
Amadei A, Linssen A, Berendsen H . Essential dynamics of proteins. Proteins. 1993; 17(4):412-25. DOI: 10.1002/prot.340170408. View

3.
Zhou B, Elledge S . The DNA damage response: putting checkpoints in perspective. Nature. 2000; 408(6811):433-9. DOI: 10.1038/35044005. View

4.
Huen M, Sy S, Chen J . BRCA1 and its toolbox for the maintenance of genome integrity. Nat Rev Mol Cell Biol. 2009; 11(2):138-48. PMC: 3899800. DOI: 10.1038/nrm2831. View

5.
Wiederstein M, Sippl M . ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins. Nucleic Acids Res. 2007; 35(Web Server issue):W407-10. PMC: 1933241. DOI: 10.1093/nar/gkm290. View