Optimal selection of molecular descriptors for antimicrobial peptides classification: an evolutionary feature weighting approach

Optimal selection of molecular descriptors for antimicrobial peptides classification: an evolutionary feature weighting approach

Abstract Background Antimicrobial peptides are a promising alternative for combating pathogens resistant to conventional antibiotics. Computer-assisted peptide discovery strategies are necessary to automatically assess a significant amount of data by generating models that efficiently classify what...

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Bibliographic Details
Main Authors: Jesus A. Beltran, Longendri Aguilera-Mendoza, Carlos A. Brizuela
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BMC Genomics
Subjects:
Antimicrobial peptides
Feature weighting
Molecular descriptors
Classification
Multi-objective evolutionary algorithm
Peptide representation
Online Access:http://link.springer.com/article/10.1186/s12864-018-5030-1

Internet

http://link.springer.com/article/10.1186/s12864-018-5030-1

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