抗菌肽
生物数据库
计算机科学
抗菌剂
数据库
计算生物学
生物技术
生物学数据
生物
数据科学
生物信息学
微生物学
作者
Isadora Louise Alves da Costa Ribeiro Quintans,João Victor Alcoforado de Araújo,Lívia Noêmia Morais Rocha,Annie Elisabeth Beltrão de Andrade,Thaís G. do Rêgo,Michael K. Deyholos
出处
期刊:Current Protein & Peptide Science
[Bentham Science Publishers]
日期:2021-12-24
卷期号:23 (1): 6-19
被引量:6
标识
DOI:10.2174/1389203723666211222170342
摘要
Antimicrobial Peptides (AMPs) are small, ribosomally synthesized proteins found in nearly all forms of life. In plants, AMPs play a central role in plant defense due to their distinct physicochemical properties. Due to their broad-spectrum antimicrobial activity and rapid killing action, plant AMPs have become important candidates for the development of new drugs to control plant and animal pathogens that are resistant to multiple drugs. Further research is required to explore the potential uses of these natural compounds. Computational strategies have been increasingly used to understand key aspects of antimicrobial peptides. These strategies will help to minimize the time and cost of "wet-lab" experimentation. Researchers have developed various tools and databases to provide updated information on AMPs. However, despite the increased availability of antimicrobial peptide resources in biological databases, finding AMPs from plants can still be a difficult task. The number of plant AMP sequences in current databases is still small and yet often redundant. To facilitate further characterization of plant AMPs, we have summarized information on the location, distribution, and annotations of plant AMPs available in the most relevant databases for AMPs research. We also mapped and categorized the bioinformatics tools available in these databases. We expect that this will allow researchers to advance in the discovery and development of new plant AMPs with potent biological properties. We hope to provide insights to further expand the application of AMPs in the fields of biotechnology, pharmacy, and agriculture.
科研通智能强力驱动
Strongly Powered by AbleSci AI