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Network Link Prediction in Drug Discovery

A recent study carried out a comparative evaluation of network-based machine learning algorithms for network link prediction in the application […]

Bootstrapped Machine Learning for Characterising Compounds in Drug Discovery

Researchers from Purdue University have created a new method of bootstrapped machine learning applied to the tandem mass spectrometry process, […]

The canSAR Knowledgebase for Drug Discovery

In 2011 researchers, from The Institute of Cancer Research UK, created the largest, public, cancer drug discovery resource, known as […]

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 […]

In Vitro Drug Response Modelling for Drug Discovery

Patient datasets often contain a plethora of ‘-omics’ data, but the corresponding drug response information is limited and not suitable […]

Transcriptome Reversal Drug Discovery for Neurodevelopmental Disorders

Researchers from Columbia University have demonstrated that a transcriptome reversal drug discovery technique, originally developed for cancer, can be applied […]

AI Drug Discovery Screening Reveals Zafirlukast as a COVID-19 Repurposing Candidate

A recent study, published in Medicine Drug Discovery, has used AI-driven drug discovery screening to identify repurposing candidates among FDA-approved […]

Exome Sequencing of Large Cohorts Can Guide Drug Discovery

At the Festival of Genomics and Biodata, Paul Nioi (Senior Director, Research, Alnylam Pharmaceuticals) joined us to explore how population […]

Image-based profiling for drug discovery

Image-based profiling is a maturing strategy to extract information present in biological images. We summarise a recent article, published in […]

AI in early stages of drug discovery

We summarise a recent review article, published in Archives of Biochemistry and Biophysics, that explored the key applications of AI […]