z-logo
open-access-imgOpen Access
Development of Machine Learning Models for Generation and Activity Prediction of the Protein Tyrosine Kinase Inhibitors
Author(s) -
Ryan Kassab
Publication year - 2022
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.36837/chapman.000391
Subject(s) - proto oncogene tyrosine protein kinase src , artificial intelligence , tyrosine kinase , computational biology , machine learning , computer science , bayesian optimization , kinase , chemistry , biology , biochemistry , signal transduction

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom