Discovery of new antibiotics using genome data mining
10.16438/j.0513-4870.2018-0221
- VernacularTitle:利用基因组数据挖掘发现新抗生素的研究
- Author:
Cheng SHI
1
;
Ying SUN
1
;
Bin XIAO
1
;
Heng ZHENG
1
Author Information
1. School of Life Science and Technology, China Pharmaceutical University, Nanjing 210009, China
- Publication Type:SPECIAL REPORTS
- Keywords:
antibiotic;
multidrug resistance;
antibiotic resistance gene;
database;
genome mining;
metagenomic mining
- From:
Acta Pharmaceutica Sinica
2018;53(6):845-851
- CountryChina
- Language:Chinese
-
Abstract:
With the worldwide spread of multi-drug resistant (MDR) bacteria, bacterial resistance has become a major issue affecting human health. Although traditional methods for obtaining antibiotics by screening bacterial strains have found the most available antibiotics for us, this method has resulted in fewer and fewer antibiotics in the past few decades and is increasingly difficult to find the new structure of the compound entity. At present, there are few drugs that can fight super-resistant bacteria in the clinic or even research. therefore, the development and application of new technologies to address the issue of bacterial resistance is imminent. Since the first bacterial genome was sequenced more than 20 years ago, a large number of bacterial genomic sequence information can provide clues for the discovery of new antibiotics. In this review, we briefly outline the available data sources and highlight the use of genomic mining and metagenomics in discovery of new antibiotics.