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The global high-content screening (HCS) software and services market accounted for over $500 million in 2017 and is expected to reach approximately $1.4 billion by 2026, increasing at a compound annual growth rate of more than 11%, says Jeff McMillan, Senior Product Manager Imaging, Molecular Devices.
Scientists have built a computational microscope that can simulate the atomic and subatomic forces that drive molecular interactions...
A look back, and forward, at the key trends within laboratory informatics.
In this In-Depth Focus: enabling research on understudied and unstudied targets, and using multi-omics data to detail drug responses in the human metabolic network.
Scientists have designed a new machine learning algorithm that uses time-series data to uncover underlying biological networks.
6 February 2018 | By PerkinElmer
Operetta CLS is a high-content cell analysis system featuring a unique combination of technologies to deliver high speed, sensitivity, and resolution...
Researchers have developed a new technology for creating more durable disease-fighting molecules which could lead to drugs with longer-lasting effects...
Quickly gain new insights into chemical and biomolecular research data. Featuring guided search and analysis workflows and dynamic data visualisations.
Researchers have created chemical amplifiers and a chemical oscillator using a systematic method that has the potential to embed sophisticated circuit computation within molecular systems...
Efforts to develop new medicines for diseases of the developing world (DDW) have been somewhat fragmented in the past and progress has been limited, despite considerable investment. Public-private partnership (PPP) is becoming an essential model for research in neglected disease areas. However, collaboration on this scale presents unique challenges, some…
A significant amount of selectivity and potency data originating from screening of drug targets is generated each year and deposited in public databases. This can be exploited to accelerate drug discovery, in particular, for a variety of repurposing activities...
Computational methods based on machine learning approaches are being introduced increasingly widely to screen the large number of molecules that have never participated in the drug discovery process, but which might have significant drug development potential. This article considers the latest advances in machine learning as applied to drug discovery...
In this In-Depth Focus we look at using bioinformatics sequence similarities to optimise repurposing activities; informatics infrastructure in neglected disease research, and machine learning for accelerating drug discovery.
A scientific collaboration has developed vascularised 3-D bioprinted liver tissue constructs, providing more precise drug toxicity testing...
