Machine Learning in the Rational Design of Antimicrobial Peptides

作者：Rondon Villarreal Paola^*; Sierra Daniel A; Torres Rodrigo

来源：Current Computer-Aided Drug Design, 2014, 10(3): 183-190.

• Antimicrobial peptides
• classification
• descriptors
• machine learning
• QSAR
• rational design

One of the most important public health issues is the microbial and bacterial resistance to conventional antibiotics by pathogen microorganisms. In recent years, many researches have been focused on the development of new antibiotics. Among these, antimicrobial peptides (AMPs) have raised as a promising alternative to combat antibiotic-resistant microorganisms. For this reason, many theoretical efforts have been done in the development of new computational tools for the rational design of both better and effective AMPs. In this review, we present an overview of the rational design of AMPs using machine learning techniques and new research fields.

• 出版日期2014