Undergraduate Research
Developed an efficient computational tool on CPLM-2.0 database proposing a prediction scheme based on evolutionary conserved information of protein sequences. The study explored the efficacy of protein sequence based features and protein secondary structure for predicting Lysine Succinylation sites using machine learning techniques. (Click on the title for a brief overview)