http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-103150490-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F19-16 |
| filingDate | 2013-02-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2015-12-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2015-12-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-103150490-B |
| titleOfInvention | For finding the network pharmacology method of active ingredient of Chinese herbs and action target spot thereof |
| abstract | The invention discloses a kind of network pharmacology method for finding active ingredient of Chinese herbs and action target spot thereof, comprise: collect the compound and protein that can be used for building training set, and calculate feature descriptor respectively according to the molecular structure of compound and the amino acid sequence of protein; Feature descriptor based on compound and protein builds training set, and uses machine learning method to set up the forecast model of compound and protein interaction; To the Chinese medicine needing prediction, collect the chemical composition that it is known, calculate feature descriptor and build forecast set; Use the model set up to predict forecast set, and the interaction result that prediction is obtained higher than the compound of given threshold value and protein for building network; The compound that the linking number of network node is larger and protein are lateral reactivity composition and action target spot.The present invention can improve accuracy rate and the efficiency of active ingredient of Chinese herbs and action target spot discovery. |
| priorityDate | 2013-02-20-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 75.