TBpred is a prediction server that predicts four subcellular localization (cytoplasmic,integral membrane,secretory and membrane attached by lipid anchor) of mycobacterial proteins.It is SVM based method that exploits defferent features of protein such as amino acid compositin, dipeptide composition and position specific scoring matrix (PSSM).The overall prediction accuracy of these SVM modules are 82.51, 80.39 and 86.62% respectively.Along with SVM other techniques like profile HMM and MEME/MAST motif based studies were also applied.Moreover a hybrid approach combining the pssm based SVM model and the MEME/MAST model has been incorporated. Aim: This server aims at predicting the subcellular localization of mycobacterial proteins. Facilities:The users of the server may select one approach at a time out of four approaches (three SVM based and one hybrid approach) to get the prediction results. Importance of this webserver: |