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Working Experience
Research Interests Protein Designability Studies using Reduced Models: We are using reduced models to study protein folding using a binary amino acid alphabet. Use of two and three dimensional lattices makes it possible to simplify the conformational space of protein folding, yet captures the essence of the problem. We are also interested in protein designability studies which tell us that sequences only fold into particular conformations. Using standard machine learning algorithms we expect to distinguish between sequences that fold to designable and non-designable conformations and use this in the distinction of real proteins.
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