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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.

SUBMITTER: Adeel MM 

PROVIDER: S-EPMC4135295 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Modelling and simulation of mutant alleles of breast cancer metastasis suppressor 1 (BRMS1) gene.

Adeel Muhammad Muzammal MM   Qasim Muhammad M   Ashfaq Usman Ali UA   Masoud Muhammad Shareef MS   Rehman Mahmood Ur MU   Qamar Muhammad Tahir Ul MT   Javed Muhammad Rizwan MR  

Bioinformation 20140722 7


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 metas  ...[more]

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