LIPOPREDICT: bacterial lipoprotein prediction server.

Bioinformation
S Ramya KumariValadi K Jayaraman

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.

Citations

Aug 28, 2014·Briefings in Bioinformatics·Shipra GuptaDeepti D Deobagkar

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Methods Mentioned

BETA
lipidation

Software Mentioned

CD
PSORT
LIPO
LIPOPREDICT
WEKA
LipPred
ScanProsite
DOLOP
UNIPROT
SPEPLip

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