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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.
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Deep learning network used to model protein complexes
A new study has developed a deep learning approach that analyses protein interactions, which could improve the design of drugs in the future.
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Study identifies drug design applications as main recipient of AI investment
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.
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ELRIG and British Pharmacological Society enter collaborative alliance
The two organisations have entered into a two-year alliance to improve scientific exchange in the drug discovery industry.
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Computational model of molecular interactions could improve new medicine development
Researchers have produced a mathematical framework enabling quick assessment of how different parameters control interactions between molecules with multiple binding sites.
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Application note: Integration of Sartorius Cubis® II Premium Balances into STARLIMS™ from Abbott Informatics
Laboratory Information Management Systems (LIMS) is becoming increasingly important in GMP regulated environments in order to ensure data integrity and faster working practices.
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New tool reveals DNA structures that influence disease
Researchers have created an algorithm that locates and analyses DNA structures which are linked to the development of certain diseases.
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Research shows the pharma industry believes AI will likely optimise R&D
A survey has shown that the pharmaceutical industry believes R&D will see a lot of benefit from digital transformation and that AI will be at the forefront.
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Drug Target Review – Issue 4 2019
This issue includes a discussion on the future of high-throughput screening through collaboration, an analysis of mass spectrometry as a structural biology tool and an exploration of the challenges of hit-to-lead when researching tropical diseases. Also in the issue are articles on immuno-oncology and assays.
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New treatment possible to tackle drug-resistant strains of TB
A new discovery could lead to the development of a drug for untreatable strains of TB, which can target uptake of the very amino acid that enables the bacteria to spread within the body.
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Study shows that CRISPR-Cas9 gene editing has a low risk of mistakes
A study has shown that unintended mutations from gene editing with CRISPR-Cas9 are rare in zebrafish, providing reassurance that this technology is a valid tool with great promise for the treatment of genetic disorders.
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Researchers must not rely on generic online searches for chemical probes, study finds
The ICR has revealed that during drug discovery, researchers should not use general search engines and vendor catalogue information to decide on their use of chemical probes.