ACEP: improving antimicrobial peptides recognition through automatic feature fusion and amino acid embedding
Abstract Background Antimicrobial resistance is one of our most serious health threats. Antimicrobial peptides (AMPs), effecter molecules of innate immune system, can defend host organisms against microbes and most have shown a lowered likelihood for bacteria to form resistance compared to many conv...
Main Authors: | Haoyi Fu, Zicheng Cao, Mingyuan Li, Shunfang Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2020-08-01
|
Series: | BMC Genomics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12864-020-06978-0 |
Similar Items
-
An automatic representation of peptides for effective antimicrobial activity classification
by: Jesus A. Beltran, et al.
Published: (2020-01-01) -
Antimicrobial peptides from the hemolymph of the prawn Macrobrachium rosenbergii
by: Samuthirapandian Ravichandran, et al.
Published: (2010-09-01) -
Antimicrobial peptides from the hemolymph of the prawn Macrobrachium rosenbergii
by: Samuthirapandian Ravichandran, Singaram Jeyalakshmi, Sathasivam Sudha, Ramasamy Anbuchezhian
Published: (2010-06-01) -
The Potential of Antimicrobial Peptides as Biocides
by: Brendan F. Gilmore, et al.
Published: (2011-10-01) -
Creating Novel Antimicrobial Peptides: From Gramicidin A to Screening a Cyclic Peptide Library
by: Zerfas, Breanna L.
Published: (2017)