http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109285585-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d40285e27f4ed83b8728b0d477404958 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B15-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-00 |
| filingDate | 2018-08-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a7cb85838edc0c983177e4a62d329de3 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5910525596976527fadc2a082c2cd867 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c7349ce9750f7ce3e37c4b887412910a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_edde3de122a1b5ce7f04915724021e03 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ef7adb642150fe875b1e053d558f6edc |
| publicationDate | 2019-01-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-109285585-A |
| titleOfInvention | A Population Protein Structure Prediction Method Based on Dynamic Abstract Convex Lower Bound Estimation |
| abstract | A population protein structure prediction method based on dynamic abstract convex lower bound estimation. Under the framework of differential evolution algorithm, based on abstract convex theory, firstly, by calculating the support vector of each conformational individual in the initial population, the lower bound estimation model of the energy function is established; Then, the entire sub-population is equally divided into two sub-populations, and the conformation with the lowest energy is selected from the sub-population to guide the conformational variation to generate the test conformation; secondly, the energy lower bound estimation value of the test conformation is calculated, and the conformation selection is guided according to the lower bound estimation information; finally , calculate the support vector of the accepted test conformation, and replace the support vector of the corresponding target conformation to realize the dynamic update of the lower bound estimation model. The invention provides a population protein structure prediction method based on dynamic abstract convex lower bound estimation with lower computational cost and higher prediction efficiency. |
| priorityDate | 2018-08-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 23.