http://rdf.ncbi.nlm.nih.gov/pubchem/patent/JP-2022161733-A

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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B15-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61K31-517
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filingDate 2021-04-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_28d7183f2b6678a16e39fbc92537ec42
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_287139383581d33f5b917918fbb86d02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_dfe19da229031c92336252be5aa80b7f
publicationDate 2022-10-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber JP-2022161733-A
titleOfInvention A therapeutic drug discovery method for mutant proteins by long-term molecular dynamics simulation
abstract [Problem] Mutant proteins with low-frequency cancerous mutations and mutations that induce resistance to molecular-targeted drugs and whose higher-order structure is not clear are mutated based on the wild-type three-dimensional structure and mutation information. A method for predicting the three-dimensional structure of the body and searching for effective compounds and a pharmaceutical composition for use in cancer treatment are provided. The method predicts the initial structure of a protein-compound complex from a protein whose structure is known, and predicts the binding affinity of the protein-compound complex, including mutants, by long-term molecular dynamics simulation. [Selection figure] None
priorityDate 2021-04-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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