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Cheminformatics analysis of the Chinese National Compound Library of Peking University 被引量:1
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作者 Jianxing Hu chuanyu lv +1 位作者 Zhenming Liu Liangren Zhang 《Journal of Chinese Pharmaceutical Sciences》 CAS CSCD 2016年第9期669-675,共7页
The Chinese National Compound Library of Peking University (PKU-CNCL) is a new high-throughput screening collection aimed at driving precompetitive drug discovery and target validation, and is one of satellite libra... The Chinese National Compound Library of Peking University (PKU-CNCL) is a new high-throughput screening collection aimed at driving precompetitive drug discovery and target validation, and is one of satellite libraries of the Chinese National Compound Library (CNCL). It is a chemical database containing binding, functional, and ADMET information for a large number of drug-like bioactive compounds. These data are manually abstracted from the primary literature on a regular basis, and further curated and standardized to maximize their quality and utility across a wide range of chemical biology and drug-discovery research problems. Currently, the database contains 54 000 bioactivity measurements for more than 100 000 compounds. Access, data downloads, and web services are available at: http://www.pkucncl.cn. 展开更多
关键词 Compound Library Cheminforrnatics DIVERSITY Scaffolds INDICATIONS
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Cheminformatics analysis of natural products and indication distribution prediction 被引量:1
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作者 Xin Zhou Yibo Li +2 位作者 chuanyu lv Zhenming Liu Liangren Zhang 《Journal of Chinese Pharmaceutical Sciences》 CAS CSCD 2017年第9期635-641,共7页
As a valuable resource for drug discovery, natural products remain largely unexplored. The cheminformatics analysis of natural product databases could help us know better about natural products, providing valuable inf... As a valuable resource for drug discovery, natural products remain largely unexplored. The cheminformatics analysis of natural product databases could help us know better about natural products, providing valuable information in drug design. In this study, we collected an in-home natural product library consisting of more than 220 000 molecules. The results showed that natural products were distributed more diversely than synthetic compounds and approved drugs in chemical space, and natural products still possessed better scaffold diversity. Besides, natural product scaffolds had more potential in some specific indications, such as antiarthritic, antihypertensive, antiallergic and analgesic. However, the utilization rate of natural product scaffolds is relatively low, especially in terms of potential indications. Therefore, we recommend the greater use of natural products while designing lead libraries. 展开更多
关键词 Natural products Feature analysis Indication prediction
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