Understanding the molecular mechanisms underlying synergistic, potentiative and
antagonistic effects of drug combinations could facilitate the discovery of novel efficacious …

Highlights•Developing a novel machine learning tool for prediction of potential druggable
proteins.•Remarkable high performance of employed models in prediction.•Introducing new …

Predicting druggability and prioritizing certain disease modifying targets for the drug
development process is of high practical relevance in pharmaceutical research …

Accurate identification of drug-targets in human body has great significance for designing
novel drugs. Compared with traditional experimental methods, prediction of drug-targets via …

Increasing numbers of proteins, nucleic acids and other molecular entities have been
explored as therapeutic targets, hundreds of which are targets of approved and clinical trial …

Discovering and accurately locating drug targets is of great significance for the research and
development of new drugs. As a different approach to traditional drug development, the …

The identification of druggable proteins (DPs) is significant for the development of new
drugs, personalized medicine, understanding of disease mechanisms, drug repurposing …

Introduction The top priority in drug development is to identify novel and effective drug
targets. In vitro assays are frequently used for this purpose; however, traditional …

Background During the past decades, research and development in drug discovery have
attracted much attention and efforts. However, only 324 drug targets are known for clinical …

The proteolysis targeting chimeras (PROTACs) technology has been rapidly developed
since its birth in 2001, attracting rapidly growing attention of scientific institutes and …