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Title |
Modelling and simulation of mutant alleles of breast cancer metastasis suppressor 1 (BRMS1) gene
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Authors |
Muhammad Muzammal Adeel, Muhammad Qasim*, Usman Ali Ashfaq, Muhammad Shareef Masoud, Mahmood ur Rehman , Muhammad Tahir ul Qamar & Muhammad Rizwan Javed |
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Affiliation |
Department of Bioinformatics and Biotechnology, Government College University (GCUF), 38000, Faisalabad, Punjab, Pakistan
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qasemawan@gmail.com; *Corresponding author
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Article Type |
Hypothesis |
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Date |
Received June 21, 2014; Accepted June 27, 2014; Published June 22, 2014
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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.
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Keywords |
Breast cancer, BRMS1, Mutation analysis, Homology modeling
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Citation |
Adeel et al.
Bioinformation 10(7): 454-459 (2014) |
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Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |