Mobile Menu

Search Results

Search results for: Proteins

Epigenetic Target Fishing Using ML

Epigenetic targets are of significant importance in drug discovery research, and there is increasing availability of chemogenomic data related to […]

DRUML: Using ML to Rank Cancer Drugs in Order of Efficacy

Researchers at Queen Mary University of London have developed a machine learning algorithm – DRUML – that ranks drugs based […]

WELM-SURF: Predicting Drug-Target Interactions

Predicting novel drug-target interactions plays an important role in identifying new drug candidates and finding new proteins to target. An […]

Predicting Metabolite-Target Interactions for Drug Discovery

A recent article, published in Communications Biology, has outlined a method for expanding our understanding of host-microbiome interactions that will […]

DeepBAR: Calculating Binding Free Energy

A new machine learning technique, DeepBAR, has been developed that speeds up calculations of the binding affinity of a drug […]

New Model to Reduce AI Bias in Drug Development

We summarize a recent study, published in Communications Biology, that outlines a new framework to audit and reduce AI bias […]

In Silico Modelling Identifies Future Therapeutic Targets for SARS-CoV-2

Researchers, from the University of Warwick, have used in silico modelling to identify future therapeutic targets for SARS-CoV-2, including the […]

Solving the Problem of Deconvolution Using CRISPR-Cas9

A recent article, published in Nature Communications, has outlined a new method of deconvolution using CRISPR-Cas9 for phenotypically discovered antibody […]

Opening doors to drug discovery: Insights into the inhibition of ion channels

Researchers have found how drug-like small molecules can regulate the activity of therapeutically relevant ion channels – findings which could […]

Big data identifies melatonin as potential COVID-19 treatment

COVID-19 A new study, led by Cleveland Clinic and published in PLOS Biology, has found that melatonin may be a […]