Computational diagnosis of non-synonymous variations using structural dynamics Computational diagnosis of non-synonymous variations using structural dynamics The ASU PI (S. Banu Ozkan) will work in collaboration with Dr. Sudhir Kumar to develop novel computational methods that integrate structural dynamics with functional biological knowledge to generate accurate diagnosis of potential functional impact of exome variation. The method developed by both PIs previously demonstrated that the protein structural dynamics, which is crucial for proper biochemical activity, has the potential to improve prediction of function-altering variants at less-conserved positions and neutral variants at highly conserved positions. Dr Ozkan will develop new position specific metrics based on structural dynamics that will potentially elucidate the impact of phenotypic changes. She will also independently assess the contributions of these different structural dynamics based metrics in a systematic, quantitative way for their diagnostic power and compare the accuracy of our models with state-of-the-art methods. Furthermore, we l explore the use of multiple methods together to identify most reliable diagnoses will be explored.
|Effective start/end date||8/1/14 → 7/31/16|
- HHS-NIH: National Library of Medicine (NLM): $91,769.00
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