Abstract
We present an Identify Selective Antibacterial Peptides (ISAP) approach based on abstracts meaning. Laboratories and researchers have significantly increased the report of their discoveries related to antibacterial peptides in primary publications. It is important to find antibacterial peptides that have been reported in primary publications because they can produce antibiotics of different generations that attack and destroy the bacteria. Unfortunately, researchers used heterogeneous forms of natural language to describe their discoveries (sometimes without the sequence of the peptides). Thus, we propose that learning the words meaning instead of the antibacterial peptides sequence is possible to identify and predict antibacterial peptides reported in the PubMed engine. The ISAP approach consists of two stages: training and discovering. ISAP founds that the 35% of the abstracts sample had antibacterial peptides and we tested in the updated Antimicrobial Peptide Database 2 (APD2). ISAP predicted that 45% of the abstracts had antibacterial peptides. That is, ISAP found that 810 antibacterial peptides were not classified like that, so they are not reported in APD2. As a result, this new search tool would complement the APD2 with a set of peptides that are candidates to be antibacterial. Finally, 20% of the abstracts were not semantic related to APD2.
Highlights
The knowledge acquired in the discovery of the antibacterial peptides has been essential to the longevity of the human being
A global problem is the attack to the bacteria with new antibiotics since more and more deaths exist for infectious illnesses that earlier were treated by the existing antibiotics
The knowledge base has PubMed unique identifiers (PMIDs) associated with the titles of the 399 peptides articles that contain any of the 238 antibacterial-peptides patterns in the abstract
Summary
The knowledge acquired in the discovery of the antibacterial peptides has been essential to the longevity of the human being. Many of these findings have suffered changes. A global problem is the attack to the bacteria with new antibiotics since more and more deaths exist for infectious illnesses that earlier were treated by the existing antibiotics. It is necessary to identify new antibacterial peptides that have been approved and tested by experts but are not labeled as such. The scientists, laboratories, and universities are describing new peptides in research articles continuously. These grow exponentially [2] and the peptides description is heterogeneous
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