MOViDA: multiomics visible drug activity prediction with a biologically informed neural network model.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Jul 1, 2023
Abstract
MOTIVATION: The process of drug development is inherently complex, marked by extended intervals from the inception of a pharmaceutical agent to its eventual launch in the market. Additionally, each phase in this process is associated with a significant failure rate, amplifying the inherent challenges of this task. Computational virtual screening powered by machine learning algorithms has emerged as a promising approach for predicting therapeutic efficacy. However, the complex relationships between the features learned by these algorithms can be challenging to decipher.