InDeep: 3D fully convolutional neural networks to assist in silico drug design on protein-protein interactions.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Feb 7, 2022
Abstract
MOTIVATION: Protein-protein interactions (PPIs) are key elements in numerous biological pathways and the subject of a growing number of drug discovery projects including against infectious diseases. Designing drugs on PPI targets remains a difficult task and requires extensive efforts to qualify a given interaction as an eligible target. To this end, besides the evident need to determine the role of PPIs in disease-associated pathways and their experimental characterization as therapeutics targets, prediction of their capacity to be bound by other protein partners or modulated by future drugs is of primary importance.