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Researchers delineate novel COVID-19 subgroups in critically ill patients
The new study used sequence clustering analysis to identify four subgroups of COVID-19 to help match patients to specific treatments.
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Informatics
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‘Transformational’ machine learning method may speed up drug discovery
Transformational machine learning (TML) learns from multiple problems and improves performance while it learns, potentially accelerating drug discovery.
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Target safety assessments – identifying risk early
With an ever-increasing emphasis on minimising drug candidate attrition, scientists are focusing on target safety at earlier points in the research process. In this exclusive interview, Drug Target Review spoke with Dr Gordon Baxter, Chief Scientific Officer of Instem, to learn how target safety assessments can enable researchers to quickly…
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Nanoscale “computer” a pivotal step for precision medicine
The study paves the way for the construction of complex nanoscale computers for the prevention and treatment of cancer and other diseases.
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Brochure: Biologics workflow solutions brochure
Biologics solutions from discovery to manufacturing.
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Machine learning models predict antibiotic resistance spread
Scientists have used several machine learning models to predict bacterial gene exchange, which could reveal novel antibiotic targets.
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Groundbreaking data tool may uncover novel class of GPCRs
A new computer-aided tool maps allosteric sites in G protein-coupled receptors to search for allosteric drugs to treat a range of diseases.
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Algorithm identifies cancer drugs to treat pulmonary hypertension
Scientists have identified potential cancer drugs to treat pulmonary hypertension using experimental and computational approaches.
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Are computer simulations the future of rapid COVID-19 drug development?
Researchers have visualised SARS-CoV-2 protein dynamics using in silico methods. In this article, Navodya Roemer explains how a team from the University of Warwick developed a computational strategy that could assist scientists in the production of new treatments and drugs for COVID-19.
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Statistical model defines how ketamine anaesthesia affects the brain
An MIT study has used the first statistical model to finely characterise how ketamine anaesthesia affects the brain, possibly improving patient outcomes.
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AI & Informatics: Drug discovery and development – industry survey infographic
View Drug Target Review's new infographic on the use of AI and informatics within early therapeutic development here.
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Application note: GxP regulated industry assessments of SoftMax Pro Software and microplate readers
Laboratories operating under GMP or GLP regulations must follow guidelines set by agencies to protect scientific integrity or demonstrate quality assurance of manufactured products.
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New AI technology could shape the future of RNA therapeutics
Artificial intelligence was shown to predict the 3D shapes of RNA molecules, which could significantly advance RNA therapeutics.
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New AI method could aid in development of T cell-based cancer therapies
An artificial intelligence technique can identify which neoantigens are recognised by the immune system, possibly improving cancer prognosis and treatment.
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Accelerating drug discovery with disruptive computational methods
Sheraz Gul explores how machine learning and artificial intelligence represent an exciting opportunity for the drug discovery industry, with the potential to develop highly optimised small molecules.
