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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…
Learn everything you need to know about the most widely-used mouse in biomedical research with this free whitepaper.
Learn how the continued development of CRISPR gene editing technologies opens fresh possibilities for in vivo model design.
Proteomics research has become a popular method for characterising functional proteins as well as discovering the innovative targets for oncologic disorders...
Every day scientists are working to discover and develop new therapies and treatments to change the lives of patients suffering from serious and debilitating illnesses. Amgen Inc. has made it a priority to unlock the potential of biology to discover, develop, manufacture, and deliver innovative therapeutics to patients.
Many bioanalytical labs work with a crowded and siloed set of systems and processes. From part electronic to part paper-based workflows to standalone point-solutions, the result is a lack of insight into data and slower reporting and results handling.
9 November 2018 | By Beckman Coulter
In this webinar you learn about a high throughput screening approach for mining of antibody repertoires in the context of biologics drug discovery.
6 November 2018 | By PerkinElmer
This webinar outlined the fundamentals of a design process where an experimental analytics data workflow is being integrated into a more seamlessly interactive platform...
Scientists have developed an algorithm that can more accurately predict cognitive decline that leads to Alzheimer’s disease. Early preventive measures may help delay and even halt the disease’s onset.
Researchers have developed a new generation of pain relief drugs that only target the affected area, with the help of computer simulations...
Flow cytometry has played a key role in drug development, largely due to its ability to measure up to twenty parameters on single cells or particles suspended in a fluid stream. Conor Fitzpatrick discusses how the rise of high-throughput flow cytometry has contributed to the advancements in drug discovery...
Researchers have applied a computational analysis based on networks in order to identify biologically relevant phenotypes apart from those currently defined by the WHO...
Using data collected from the UK, the data suggests that up to 25 million people in the US may be at more than triple the risk of coronary artery disease...
An artificial-intelligence approach created can teach itself to design new drug molecules from scratch and has the potential to dramatically accelerate the design of new drug candidates...
