Marine organisms are expected to be an important source of inspiration for drug discovery. At present, very few databases exist […]
A recent study carried out a comparative evaluation of network-based machine learning algorithms for network link prediction in the application […]
A recent study used machine learning to identify unoptimized short linear peptides, which represent promising candidates for blood glucose regulation […]
A recent study, published in Scientific Reports, designed a test system using machine learning to systematically examine the structural features […]
Researchers from Purdue University have created a new method of bootstrapped machine learning applied to the tandem mass spectrometry process, […]
Epigenetic targets are of significant importance in drug discovery research, and there is increasing availability of chemogenomic data related to […]
Researchers at Queen Mary University of London have developed a machine learning algorithm – DRUML – that ranks drugs based […]
Researchers from the CHUM Research Centre have used data-driven and hypothesis-driven approaches to identify biomarkers that have been linked to […]
In 2011 researchers, from The Institute of Cancer Research UK, created the largest, public, cancer drug discovery resource, known as […]
A recent article, published in Communications Biology, has outlined a method for expanding our understanding of host-microbiome interactions that will […]
