Abstract: Techniques for characterizing protein candidate sites are provided. Experimental data comprising spectral data from an experimental data source is received. Based on the experimental data, a data set comprising a set of protein candidate sites within one or more proteins is created. For each protein candidate site of the set of protein candidate sites, a feature set characterizing the respective protein candidate site is generated. A characterization of the amenability for drug-discovery for one or more of the protein candidate sites is generated by applying a classifier to the respective feature set for the protein candidate site.
Type:
Application
Filed:
July 29, 2021
Publication date:
February 3, 2022
Applicant:
Frontier Medicines Corporation
Inventors:
Saulo DE OLIVEIRA, Johannes Hermann, Chris Varma
Abstract: Techniques for characterizing protein candidate sites are provided. Experimental data comprising spectral data from an experimental data source is received. Based on the experimental data, a data set comprising a set of protein candidate sites within one or more proteins is created. For each protein candidate site of the set of protein candidate sites, a feature set characterizing the respective protein candidate site is generated. A characterization of the amenability for drug-discovery for one or more of the protein candidate sites is generated by applying a classifier to the respective feature set for the protein candidate site.
Type:
Application
Filed:
July 29, 2021
Publication date:
February 3, 2022
Applicant:
Frontier Medicines Corporation
Inventors:
Saulo DE OLIVEIRA, Johannes Hermann, Chris Varma