http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110246540-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A90-10 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B50-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B15-30 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B15-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B50-00 |
| filingDate | 2019-05-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-11-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-11-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-110246540-B |
| titleOfInvention | A prediction method for active ingredients and key targets of traditional Chinese medicine |
| abstract | The invention discloses a method for predicting the active components and key targets of traditional Chinese medicine, aiming at predicting the active components of traditional Chinese medicine and their key action targets. A component-target prediction graph (CTPG) model is proposed to help select active components and key targets of traditional Chinese medicine compounds. The specific implementation steps are as follows: First, a crawler program is designed to obtain the components of traditional Chinese medicine compounds and the targets of the diseases treated by traditional Chinese medicine preparations respectively; Use the System Dock Web Site to connect the components and the targets to obtain the scores of the components and the targets. According to the scores, Build a component-target relationship database; build a component-target prediction graph (CTPG) model to predict the active ingredients and key targets of traditional Chinese medicine preparations. The invention provides an effective prediction method for the analysis of the active components of traditional Chinese medicine compounds and the key targets of their functions, and provides an effective way for predicting the active components of the traditional Chinese medicine compound preparations and the key targets of their functions. |
| priorityDate | 2019-05-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID5280343 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419482810 |
Total number of triples: 15.