Overview
Blood-brain Barrier Peptides(BBPs) have recently emerged as promising therapeutic agents which can cross the blood-brain barrier. Due to the avalanche of protein sequence data in the post-genomic era, there is an urgent need to develop automated computational methods to enable fast and accurate identification of novel BBPs within the vast number of candidate proteins and peptides.
BBPpred is a web application used to identify BBPs. More specifically, we have developed a SVM classifier based entirely on amino acid sequences. It shows superior results in independent test set.
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Input sequence (Example)
*The sequences must be in FASTA format.The sequence length should be between 5 and 150.


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Citation

     BBPpred: machine learning based approach for blood-brain barrier peptides prediction