Clustered patterns of species origins of nature-derived drugs and clues for future bioprospecting

被引:220
作者
Zhu, Feng [1 ,2 ,3 ]
Qin, Chu [2 ,3 ,4 ]
Tao, Lin [2 ,3 ,4 ]
Liu, Xin [2 ,3 ]
Shi, Zhe [2 ,3 ]
Ma, Xiaohua [2 ,3 ]
Jia, Jia [2 ,3 ]
Tan, Ying [1 ]
Cui, Cheng [1 ]
Lin, Jinshun [1 ]
Tan, Chunyan [1 ]
Jiang, Yuyang [1 ,5 ,6 ]
Chen, Yuzong [1 ,2 ,3 ]
机构
[1] Tsinghua Univ, Guangdong Prov Grad Sch Shenzhen, Key Lab Chem Biol, Shenzhen 518055, Guangdong, Peoples R China
[2] Natl Univ Singapore, Dept Pharm, Bioinformat & Drug Design Grp, Singapore 117543, Singapore
[3] Natl Univ Singapore, Ctr Computat Sci & Engn, Singapore 117543, Singapore
[4] Natl Univ Singapore, Grad Sch Integrat Sci & Engn, Dept Pharm, Singapore 117456, Singapore
[5] Tsinghua Univ, Sch Med, Beijing 100084, Peoples R China
[6] Tsinghua Univ, Dept Chem, Beijing 100084, Peoples R China
关键词
biodiversity; drug-prolific species; phylogenetic tree; herb; ASPERGILLUS-NIDULANS; CLINICAL-TRIALS; PRODUCTS; DISCOVERY; METABOLITES; THERAPEUTICS; BIOSYNTHESIS; MOLECULES; FRONTIER; DATABASE;
D O I
10.1073/pnas.1107336108
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Many drugs are nature derived. Low drug productivity has renewed interest in natural products as drug-discovery sources. Nature derived drugs are composed of dozens of molecular scaffolds generated by specific secondary-metabolite gene clusters in selected species. It can be hypothesized that drug-like structures probably are distributed in selective groups of species. We compared the species origins of 939 approved and 369 clinical-trial drugs with those of 119 preclinical drugs and 19,721 bioactive natural products. In contrast to the scattered distribution of bioactive natural products, these drugs are clustered into 144 of the 6,763 known species families in nature, with 80% of the approved drugs and 67% of the clinical-trial drugs concentrated in 17 and 30 drug-prolific families, respectively. Four lines of evidence from historical drug data, 13,548 marine natural products, 767 medicinal plants, and 19,721 bioactive natural products suggest that drugs are derived mostly from preexisting drug productive families. Drug-productive clusters expand slowly by conventional technologies. The lack of drugs outside drug-productive families is not necessarily the result of under-exploration or late exploration by conventional technologies. New technologies that explore cryptic gene clusters, pathways, interspecies crosstalk, and high-throughput fermentation enable the discovery of novel natural products. The potential impact of these technologies on drug productivity and on the distribution patterns of drug-productive families is yet to be revealed.
引用
收藏
页码:12943 / 12948
页数:6
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