Industry-scale application and evaluation of deep learning for drug target prediction.

ABSTRACT: Artificial intelligence (AI) is undergoing a revolution thanks to the breakthroughs of machine learning algorithms in computer vision, speech recognition, natural language processing and generative modelling. Recent works on publicly available pharmaceutical data showed that AI methods are highly promising for Drug Target prediction. However, the quality of public data might be different than that of industry data due to different labs reporting measurements, different measurement techniques, fewer samples and less diverse and specialized assays. As part of a European funded project (ExCAPE), that brought together expertise from pharmaceutical industry, machine learning, and high-performance computing, we investigated how well machine learning models obtained from public data can be transf

SUBMITTER: Sturm N 

PROVIDER: S-EPMC7169028 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature