Deep-ABPpred: identifying antibacterial peptides in protein sequences using bidirectional LSTM with word2vec
Abstract
The overuse of antibiotics has led to emergence of antimicrobial resistance, and as a result, antibacterial peptides (ABPs) are receiving significant attention as an alternative. Identification of effective ABPs in lab from natural sources is a cost-intensive and time-consuming process. Therefore, there is a need for the development of in silico models, which can identify novel ABPs in protein sequences for chemical synthesis and testing. In...
Paper Details
Title
Deep-ABPpred: identifying antibacterial peptides in protein sequences using bidirectional LSTM with word2vec
Published Date
Mar 31, 2021
Journal
Volume
22
Issue
5
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