Sickle cell drugs could be tested with help from new computer model
New computer model that simulates the way red blood cells become misshapen by sickle cell disease could identity promising drug candidates.
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New computer model that simulates the way red blood cells become misshapen by sickle cell disease could identity promising drug candidates.
Claus Bendtsen at AstraZeneca reveals how AI can be used to improve our understanding of disease, to help identify the causes of conditions and aid in drug discovery.
Researchers hope the system can choose the right patients to enroll in clinical trials, to speed discovery of drug treatments.
CD4+ T-cells play a central role in directing adaptive immune responses against invading microbial pathogens.
Sartorius debuts their new product, the Intellicyt iQue3, at this year's CYTO® conference and exhibition.
Mosaic Sample Management is Titian Software’s comprehensive, customisable, modular software product to control and monitor all aspects of sample storage, preparation and delivery.
Unique considerations surrounding the bureaucracy and oversight in the use of human biospecimens in the European Union.
Nuclear magnetic resonance measurement and state-of-the-art computational science reveal protein structures in higher eukaryotic cells.
New method for computational mass spectrometry will speed up the discovery of natural products that could be used in medicines...
Data drives drug discovery, yet it continues to be among the biggest challenges faced by the industry.1 Experiments are often not repeatable and data interpretation is subject to the biases and limitations of human beings.
In this In-Depth Focus: AI-driven automated chemistry as a tool to accelerate drug discovery, and a look at network-driven drug discovery
In this issue: AI-driven automated chemistry as a tool to accelerate drug discovery processes, the shifting landscape of immuno-oncology, and how lipid molecules provide an insight into biological research.
Target-driven drug discovery, in which the starting point is a specific protein target hypothesised to play an important role in disease, has been the dominant paradigm for the last few decades. However, phenotypic-driven drug discovery, which does not rely on a specific target hypothesis, is starting to regain traction for…
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