Submit Manuscript  

Article Details


New Perspectives on Machine Learning in Drug Discovery

Author(s):

Simona Musella, Giulio Verna, Alessio Fasano and Simone Di Micco*   Pages 1 - 24 ( 24 )

Abstract:


Artificial intelligence methods, in particular, machine learning, has been playing a pivotal role in drug development, from structural design to clinical trial. This approach is harnessing the impact of computer-aided drug discovery thanks to large available data sets for drug candidates and its new and complex manner of information interpretation to identify patterns for the study scope. In the present review, recent applications related to drug discovery and therapies are assessed, and limitations and future perspectives are analyzed.

Keywords:

Machine learning, artificial intelligence, drug repurposing, virtual screening, ADMET, synthesis planning, personalized medicine, drug design.

Affiliation:

European Biomedical Research Institute of Salerno (EBRIS), Salerno, European Biomedical Research Institute of Salerno (EBRIS), Salerno, European Biomedical Research Institute of Salerno (EBRIS), Salerno, European Biomedical Research Institute of Salerno (EBRIS), Salerno



Read Full-Text article