Classification of antimicrobial peptide using diversity measure with quadratic discriminant analysis.
Accurate classification of antimicrobial peptides according to their biological activities will facilitate the design of novel antimicrobial agents and the discovery of new therapeutic targets. In this work, an excellent algorithm of Increment of Diversity with Quadratic Discriminant analysis (IDQD) was proposed to classify antimicrobial peptides with diverse biological activities.
Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, Hohhot, 010021, China.
Wei
W
Chen
Liaofu
L
Luo
D000465:Algorithms; D000890:Anti-Infective Agents / Q000494:pharmacology*; D000970:Antineoplastic Agents / Q000494:pharmacology*; D000998:Antiviral Agents / Q000494:pharmacology*; D001430:Bacteriocins / Q000494:pharmacology*; D016002:Discriminant Analysis
D000890:Anti-Infective Agents; D000970:Antineoplastic Agents; D000998:Antiviral Agents; D001430:Bacteriocins