Artificial intelligence to guide precision anticancer therapy with multitargeted kinase inhibitors.

ABSTRACT:

Background

Vast amounts of rapidly accumulating biological data related to cancer and a remarkable progress in the field of artificial intelligence (AI) have paved the way for precision oncology. Our recent contribution to this area of research is CancerOmicsNet, an AI-based system to predict the therapeutic effects of multitargeted kinase inhibitors across various cancers. This approach was previously demonstrated to outperform other deep learning methods, graph kernel models, molecular docking, and drug binding pocket matching.

Methods

CancerOmicsNet integrates multiple heterogeneous data by utilizing a deep graph learning model with sophisticated attention propagation mechanisms to extract highly predictive features from cancer-specific networks. The AI-based system was d

SUBMITTER: Singha M 

PROVIDER: S-EPMC9694576 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature