title: Modelling and simulation of mutant alleles of breast cancer metastasis suppressor 1 (BRMS1) gene.
abstract: Computational tools occupy the prime position in the analysis of large volume of post-genomic data. These tools have advantage over the wet lab experiments in terms of high coverage, cost and time. Breast cancer is the most common cancer in females worldwide. It is a genetically heterogeneous disorder and many genes are involved in the pathway of the disease. Mutations in metastasis suppressor gene are the major cause of the disease. In this study, the effects of mutations in breast cancer metastasis suppressor 1gene upon protein structure and function were examined by means of computational tools and information from databases.This study can be useful to predict the potential effect of every allelic variant, devise new biological experiments and to interpret and predict the patho-physiological impact of new mutations or non-synonymous polymorphisms.
authors.affiliation: Department of Bioinformatics and Biotechnology, Government College University (GCUF), 38000, Faisalabad, Punjab, Pakistan.
authors.forename: Muhammad Muzammal
authors.initials: MM
authors.lastname: Adeel
authors.affiliation: Department of Bioinformatics and Biotechnology, Government College University (GCUF), 38000, Faisalabad, Punjab, Pakistan.
authors.forename: Muhammad
authors.initials: M
authors.lastname: Qasim
authors.affiliation: Department of Bioinformatics and Biotechnology, Government College University (GCUF), 38000, Faisalabad, Punjab, Pakistan.
authors.forename: Usman Ali
authors.initials: UA
authors.lastname: Ashfaq
authors.affiliation: Department of Bioinformatics and Biotechnology, Government College University (GCUF), 38000, Faisalabad, Punjab, Pakistan.
authors.forename: Muhammad Shareef
authors.initials: MS
authors.lastname: Masoud
authors.affiliation: Department of Bioinformatics and Biotechnology, Government College University (GCUF), 38000, Faisalabad, Punjab, Pakistan.
authors.forename: Mahmood Ur
authors.initials: MU
authors.lastname: Rehman
authors.affiliation: Department of Bioinformatics and Biotechnology, Government College University (GCUF), 38000, Faisalabad, Punjab, Pakistan.
authors.forename: Muhammad Tahir Ul
authors.initials: MT
authors.lastname: Qamar
authors.affiliation: Department of Bioinformatics and Biotechnology, Government College University (GCUF), 38000, Faisalabad, Punjab, Pakistan.
authors.forename: Muhammad Rizwan
authors.initials: MR
authors.lastname: Javed
keywords: BRMS1; Breast cancer; Homology modeling; Mutation analysis