Muscle cell atlas developed to aid muscular disease and injury research
Researchers have created a new technical resource atlas which maps the 15 distinct cell types involved in muscle repair for disease and therapy research.
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Researchers have created a new technical resource atlas which maps the 15 distinct cell types involved in muscle repair for disease and therapy research.
Drug Target Review rounds up the latest updates on research into coronavirus treatments, focusing on virtual screening to find therapies for COVID-19.
The first drug designed using artificial intelligence (AI) has moved into its Phase I trial. Professor Andrew Hopkins of Exscientia explains how an algorithm was used to achieve this milestone.
A new method for weighing proteins at the atom level, called individual ion mass spectrometry, has been developed by American researchers.
A computational programme has been created by researchers to aid in the design of proteins for therapeutics, to predict interactions.
The newest version of the Unified Data Model (UDM) project has been released, allowing R&D scientists to access information on compound synthesis and testing.
25 February 2020 | By Bruker Daltonics
Learn about the latest software tools for Bruker Daltonic’s SPR instrumentation and explore high-throughput screening strategies enabled by their ecosystem.
A new antibiotic compound has been identified by researchers who designed a machine-learning algorithm to screen millions of molecules.
A collaboration of academic institutions in the United States has identified a gene that is linked to alternative splicing changes that occur in several cancers.
Researchers have developed an artificial neural network using deep learning to identify genes that are related to disease.
Researchers have engineered a chip which allows 3D modelling of the blood-brain-barrier and has provided insight into how astrocytes facilitate transport of molecules.
A Frost & Sullivan award has been given to a new label-free single-cell analysis and sorting platform for utilising cutting-edge technologies.
A collaboration between Elsevier and the FDA will present an algorithm for the accurate prediction of drug-induced liver injury. Drug Target Review investigates the benefits this toxicology project will bring to the drug discovery industry.
A new study has developed a deep learning approach that analyses protein interactions, which could improve the design of drugs in the future.
Research suggests that over half of the total $5.2bn investment for artificial intelligence in pharma went to drug design applications in 2019, but overall investment is slowing.