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Predicting Moonlighting Proteins Using Machine Learning

Moonlighting proteins are a subclass of multifunctional proteins, which play an important role in disease pathways and drug-target discovery. As […]

Knowledge Graph Approach to Connecting SARS-CoV-2 Viral Proteins to Host Function

A recent study used previously identified viral interactions and human host proteins to apply a machine learning-based approach for connecting […]

EubOPEN consortium to provide open-source cheminformatics tools for one third of druggable proteins

The chemistry services team at EMBL has announced that they will provide an informatics infrastructure to the IMI-funded EUbOPEN Consortium […]

Early clinical trial data supports amivantamab against a rare lung cancer mutation

Lung cancer is one of the leading causes of cancer death among men and women in the US. One option […]

Data-driven approach to identify PROTAC targets

Proteolysis-targeting chimeras (PROTACs) are an emerging class of drugs that may offer new opportunities to overcome limitations associated with small-molecule […]

AlphaFold predicts protein structure with near-experimental accuracy

AlphaFold, an attention-based neural network recently developed by Google AI, predicts 3D protein structure from its amino acid sequence with […]

New diagnostic tool for Alzheimer’s could improve drug trial recruitment

Researchers at Lund University in Sweden have developed an algorithm that combines data from simple blood tests and brief memory […]

Meta-analysis of transcriptomic data from Huntington’s disease patients

Description of transcriptomic alterations in Huntington’s disease is essential for the identification of targets for biomedical studies and drug development. […]

A novel computer system can help inform future therapies for patients with inherited cardiovascular disease

Researchers from around the world have collaborated to develop a genomic computer system to show how some genetic mutations can […]

Ivermectin as a potential drug for treatment of COVID-19.

Numerous datasets from historic clinical trials are being reviewed in the hope that existing drugs, that have already been cleared […]