Predictive Analysis of Mycobacterium fortuitum Biofilm Proteins Using Machine Learning: Identifying Novel Drug Targets

The study shows that machine learning techniques, in particular kNN, can be used for successful analyses of proteome data obtained from M. fortuitum in order to identify proteins associated with the formation of biofilms. This methodology may be used for the prediction of drug targets using a proteome database. Identification of drug targets can help in designing better treatment strategies against the pathogen.