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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A computational programme has been created by researchers to aid in the design of proteins for therapeutics, to predict interactions.
A new study has revealed how bacterial immune systems can be harmful for their hosts and why they are not found in all bacteria.
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.
Researchers have developed an artificial neural network using deep learning to identify genes that are related to disease.
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.
The two organisations have entered into a two-year alliance to improve scientific exchange in the drug discovery industry.
Researchers have produced a mathematical framework enabling quick assessment of how different parameters control interactions between molecules with multiple binding sites.
Laboratory Information Management Systems (LIMS) is becoming increasingly important in GMP regulated environments in order to ensure data integrity and faster working practices.
Researchers have created an algorithm that locates and analyses DNA structures which are linked to the development of certain diseases.
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.
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.