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%

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... uracy of prediction. The results obtained were compared very well with those of previously developed methods. Availability: A web server for bacterial lipoprotein prediction available at www.lipopredict.cdac.in