JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 31 Issue 4
July 2016
Article Contents
ZHENG Nai-ren, DENG Yu-lin, MATHURA Venkat and et al. Crowdsourcing-based natural products database and knowledge discovery system[J]. Journal of Light Industry, 2016, 31(4): 102-108. doi: 10.3969/j.issn.2096-1553.2016.4.015
Citation: ZHENG Nai-ren, DENG Yu-lin, MATHURA Venkat and et al. Crowdsourcing-based natural products database and knowledge discovery system[J]. Journal of Light Industry, 2016, 31(4): 102-108. doi: 10.3969/j.issn.2096-1553.2016.4.015 shu

Crowdsourcing-based natural products database and knowledge discovery system

  • Received Date: 2016-05-03
  • In view that the present natural products database data update was not in time, the data quantity was not big enough, the natural products database and knowledge discovery system was developed based on crowdsourcing.The system used the crowdsourcing technology to build a natural products database, used molecular fingerprint to encode molecular structure, and used the Tanimoto coefficient to calculate similarity to realize natural products and related literature retrieval,and could expand real-time for biologists to understand the current research hotspot and to offer reference to determine further research directions.
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