ULAB ETE and EEE jointly organize seminar on “Application of KNApSAcK Database and DPUlus Algorithm: Plants to Metabolites to target Proteins in the Context of Jamu Medicines and IBD Gene Prediction”

Dr. Md. Altaf-Ul-Amin, is an Associate Professor in the Computational Systems Biology Lab at NAIST, Japan. Initially, their team developed KNApSAcK, as a species-metabolite relational database and subsequently, inspired by its popularity their team extended it to KNApSAcK family database by adding different types of omics data together with data regarding edible plants and traditional medicines mainly focusing human health care and ecology. Dr. Md. Altaf-Ul-Amin briefly focused on the KNApSAcK database and the DPClus algorithm. Then he discussed a new method to predict the relation between plant and disease using network analysis and supervised clustering based on Jamu formulas. Next, he extended the talk on the analysis for predicting Jamu efficacy based on metabolite composition and identifying important metabolites. He also focused on prediction of target proteins by Jamu metabolites. Finally, he discussed application of DPClusO algorithm in finding inflammatory bowel disease related genes.