LIPOPREDICT: Bacterial lipoprotein prediction server

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 Machin...

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Detalles Bibliográficos
Autores principales: Kumari, S Ramya, Kadam, Kiran, Badwaik, Ritesh, Jayaraman, Valadi K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2012
Materias:
Server
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3346017/
https://www.ncbi.nlm.nih.gov/pubmed/22570522
http://dx.doi.org/10.6026/97320630008394
Descripción
Sumario: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. AVAILABILITY: The database is available for free at www.lipopredict.cdac.in

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