Researchers at IIT Madras have developed a machine learning-based computational tool to better detect cancer-causing tumors of the brain and spinal cord. This tool named “GBMDriver” (GlioBlastoma Mutiforme Drivers) is available online.
Glioblastoma is a rapidly growing tumor of the brain and spinal cord. Research has been done to understand this tumor, but treatment options remain limited and he is expected to live less than two years from initial diagnosis.
It is important to assess the functional consequences of protein variants involved in glioblastoma to advance treatment options for patients. However, functional validation to identify driver mutations (disease-causing mutations) from all observed variants is a laborious task.
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GBMDriver was specifically developed to identify driver and passenger mutations in glioblastoma.
GBMDriver can be accessed using the following link: https://web.iitm.ac.in/bioinfo2/GBMDriver/index.html.
Describing the key findings of their research, M Michael Gromiha of the Biotechnology Department at IIT Madras said: We hope that this tool will help prioritize glioblastoma driver mutations, help identify potential therapeutic targets, and aid in the development of drug design strategies. ”
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