合理设计
抗菌剂
抗菌肽
计算机科学
数量结构-活动关系
生化工程
人工智能
机器学习
计算生物学
生物
工程类
微生物学
遗传学
作者
Paola Rondón-Villarreal,Daniel A. Sierra,Rodrigo Torres
出处
期刊:Current Computer - Aided Drug Design
[Bentham Science]
日期:2014-08-02
卷期号:10 (3): 183-190
被引量:16
标识
DOI:10.2174/1573409910666140624124807
摘要
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 antibioticresistant 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. Keywords: Antimicrobial peptides, classification, descriptors, machine learning, QSAR, rational design.
科研通智能强力驱动
Strongly Powered by AbleSci AI