Studied 3D structural determinants of protein Post Translational Modification: S-nitrosylation (SNO), Ubiquitination, Acetylation Used supervised learning to generate high quality classifiers which were validated with independent experimental datasets Generated and determined small subset of features for the classifiers and non-supervised learning approaches Programmed in Python, Perl, R. shell script Advanced user of Cytoscape (network visualization and analysis) and Orange data mining Analyzed microbiome, metabolome, and WGS dataset for multiple clinical trials and other studies Identified bio markers and key determinants of IBS, C.Difficile, Obesity/Metabolic syndrom, Behcet's Disease, Austism Integrated combinations of unbiased metabolomics, whole genome 3D-structural prediction, and microbial metagenomics datasets
Publications/Creative Works
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Affiliations
Research Consortia
Gulf Coast Cluster for Artificial Intelligence in Healthcare
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