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Software able to screen up to 1.4 billion compounds developed
New in silico screening software has the capability to screen billions of compounds, with the hope of improving drug design and limiting side effects.
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Informatics
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Virtual reality could be used to design new drugs, say researchers
Researchers have used virtual reality (VR) to control how drugs bind to their protein targets, which they say could be useful for designing new treatments.
news
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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Using virtual screening to identify coronavirus treatments
Drug Target Review rounds up the latest updates on research into coronavirus treatments, focusing on virtual screening to find therapies for COVID-19.
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Discovering and designing drugs with artificial intelligence
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.
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Mass spectrometry approach allows researchers to make precise protein measurements
A new method for weighing proteins at the atom level, called individual ion mass spectrometry, has been developed by American researchers.
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3D models developed by researchers to optimise protein design
A computational programme has been created by researchers to aid in the design of proteins for therapeutics, to predict interactions.
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Chemical reactions database updates to improve R&D information exchange
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.
webinar
2020: Reset your expectation for surface plasmon resonance (SPR)
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.
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Novel antibiotic compound revealed through artificial intelligence screening
A new antibiotic compound has been identified by researchers who designed a machine-learning algorithm to screen millions of molecules.
news
Myc gene linked to alternative splicing changes in several cancers
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.
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Artificial intelligence trained to find disease-related genes
Researchers have developed an artificial neural network using deep learning to identify genes that are related to disease.
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Blood-brain-barrier modelled in 3D on precision chip
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.
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Award recognises innovative label-free technology
A Frost & Sullivan award has been given to a new label-free single-cell analysis and sorting platform for utilising cutting-edge technologies.
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Developing an algorithm to predict drug-induced liver injury
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.
