http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022254192-A1
Outgoing Links
Predicate | Object |
---|---|
assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_7105207ca740add5aa1300e0c7f20a8a |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B15-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B20-50 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B15-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B20-50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-20 |
filingDate | 2022-05-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a3b2f726285ee1eb4e3ba501837b907a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4d695ac0259534052f7cf41f80101563 |
publicationDate | 2022-12-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | WO-2022254192-A1 |
titleOfInvention | Methods for enzyme engineering |
abstract | The present invention relates to computer-implemented methods for predicting catalytic activity for a candidate mutant enzyme comprising estimating the electrostatic component of the activation barrier for each of a plurality of conformations of each candidate mutant enzyme, for predicting catalytic activity for a candidate mutant enzyme using a machine learning model trained using data obtained using such methods, for providing a site directed mutagenesis potential map for an enzyme using the described methods, and for identifying a candidate enzyme with improved catalytic activity using the described methods. Related systems and computer-readable media are also described. |
priorityDate | 2021-06-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 209.