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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.

SUBMITTER: Kumari SR 

PROVIDER: S-EPMC3346017 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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LIPOPREDICT: bacterial lipoprotein prediction server.

Kumari S Ramya SR   Kadam Kiran K   Badwaik Ritesh R   Jayaraman Valadi K VK  

Bioinformation 20120430 8

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% acc  ...[more]

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