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Updated: May 22, 2026
Enrichment of Bacterial Lipoproteins and Preparation of N-terminal Lipopeptides for Structural Determination by Mass Spectrometry
Published on: May 21, 2018
LIPOPREDICT: bacterial lipoprotein prediction server
S Ramya Kumari1, Kiran Kadam, Ritesh Badwaik
1Centre for Development of Advanced Computing (C-DAC), Pune University Campus, Ganeshkind, Pune-411 007, India.
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.
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