Numerous datasets from historic clinical trials are being reviewed in the hope that existing drugs, that have already been cleared […]
Target prediction with machine learning algorithms can help accelerate the identification of protein targets of hit molecules, limiting the number […]
A recent study used the Human Protein Atlas as a unique big data resource to identify and prioritise candidate antibody-drug […]
A recent study carried out a systematic evaluation of the drugs available in electronic health record data, including prescription drugs […]
A recent study presented a novel computational method for inferring drug-target interactions, which exploits the primary protein sequence and molecular […]
Due to the complex nature of central nervous system diseases and the presence of the blood-brain barrier (among other factors), […]
A recent study has described the new DrugCentral2021 database, which is a public resource that serves the scientific community by […]
Marine organisms are expected to be an important source of inspiration for drug discovery. At present, very few databases exist […]
A recent study, published in Scientific Reports, designed a test system using machine learning to systematically examine the structural features […]
Computationally predicting molecular shapes and structures plays an important role in drug discovery, as it enables the identification of drug […]
