title: LIPOPREDICT: bacterial lipoprotein prediction server.
abstract: Bacterial lipoproteins have many important functions owing to their essential nature and roles in pathogenesis and represent a class of possible vaccine candidates. The prediction of bacterial lipoproteins from sequence is thus an important task for computational vaccinology. A Support Vector Machines (SVM) based module for predicting bacterial lipoproteins, LIPOPREDICT, has been developed. The best performing sequence model were generated using selected dipeptide composition, which gave 97% accuracy of prediction. The results obtained were compared very well with those of previously developed methods.
authors.affiliation: Centre for Development of Advanced Computing (C-DAC), Pune University Campus, Ganeshkind, Pune-411 007, India.
authors.forename: S Ramya
authors.initials: SR
authors.lastname: Kumari
authors.forename: Kiran
authors.initials: K
authors.lastname: Kadam
authors.forename: Ritesh
authors.initials: R
authors.lastname: Badwaik
authors.forename: Valadi K
authors.initials: VK
authors.lastname: Jayaraman