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 […]
Predicting novel drug-target interactions plays an important role in identifying new drug candidates and finding new proteins to target. An […]
A recent article, published in Communications Biology, has outlined a method for expanding our understanding of host-microbiome interactions that will […]
A new machine learning technique, DeepBAR, has been developed that speeds up calculations of the binding affinity of a drug […]
We summarize a recent study, published in Communications Biology, that outlines a new framework to audit and reduce AI bias […]
Researchers, from the University of Warwick, have used in silico modelling to identify future therapeutic targets for SARS-CoV-2, including the […]
A recent article, published in Nature Communications, has outlined a new method of deconvolution using CRISPR-Cas9 for phenotypically discovered antibody […]
Researchers have found how drug-like small molecules can regulate the activity of therapeutically relevant ion channels – findings which could […]
COVID-19 A new study, led by Cleveland Clinic and published in PLOS Biology, has found that melatonin may be a […]
