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Michael Walker added Mutation_Instability_Filter_Team_Members__.tex
almost 9 years ago
Commit id: 32aad71c2318e0dbc08227784dff6fb80e402653
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**Mutation Instability Filter**
*Team Members*
Charles Galea (Scientist & Problem Owner)
Yuri Feldman (Dev)
Savant Krishna (Dev)
Roslyn Lau (UX Design)
Michael Walker (Scientist)
Shiho Takagi (Dev)
Marguerite Evans-Galea (Scientist)
*The Problem*
Identifying genetic mutations responsible for familial disease is unnecessarily time-consuming, laborious and expensive. Current approaches typically provide 10-100 candidate genes, and eliminating the false positives requires difficult testing of individual corresponding proteins. Many bioinformaticians lack the technical expertise to streamline and speed up this process.
*The Solution*
Create a filter for bioinformaticians to greatly reduce the number of genes that must be tested. Several web-based applications exist to identify protein structures and assess their stability.
MIF takes the amino acid sequence generated by the mutated gene,
finds the corresponding protein structures, and accesses multiple
web-based stability-testing algorithms to identify those most likely to cause disease.
This will decimate the time and cost associated with identifying harmful genetic mutations. It will reduce the number of typically 100+ proteins that must be tested for harmful changes to a mere handful (2-3), greatly expediting research into genetic disease. As it identifies the protein structure responsible, it also indicates potential drug targets for medical treatment.
