video
Video: Ethical and regulatory use of biospecimens in the EU
Unique considerations surrounding the bureaucracy and oversight in the use of human biospecimens in the European Union.
List view / Grid view
Informatics
news
High-res 3D structure of proteins inside living eukaryotic cells determined
Nuclear magnetic resonance measurement and state-of-the-art computational science reveal protein structures in higher eukaryotic cells.
news
New mass spectrometry system for finding potential drugs
New method for computational mass spectrometry will speed up the discovery of natural products that could be used in medicines...
article
Drug discovery from the age of information to the age of intelligence
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.
article
Informatics In-Depth Focus 2019
In this In-Depth Focus: AI-driven automated chemistry as a tool to accelerate drug discovery, and a look at network-driven drug discovery
article
Drug Target Review – Issue 1 2019
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.
article
Network-driven drug discovery
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…
whitepaper
Whitepaper: The most important mouse in the world: the utility and applications of C57BL/6 models
Learn everything you need to know about the most widely-used mouse in biomedical research with this free whitepaper.
whitepaper
Whitepaper: Application of CRISPR/Cas to the generation of genetically engineered mice
Learn how the continued development of CRISPR gene editing technologies opens fresh possibilities for in vivo model design.
news
Computational advances in the label-free quantification of cancer proteomics data
Proteomics research has become a popular method for characterising functional proteins as well as discovering the innovative targets for oncologic disorders...
whitepaper
Application note: Integrated biologics – Enabling high-throughput drug discovery at Amgen with Thermo Fisher™ Platform for Science™ Software
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.
whitepaper
Application note: Transforming your bioanalysis operations – is a lack of insight slowing you down?
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.
webinar
High throughput screening for deep mining of antibody repertoires, Dr. Stefan Moese, Novartis, Switzerland
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.
webinar
Harmonising drug-target binding data analytics on a single platform
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...
news
AI algorithm accurately predicts Alzheimer’s disease onset
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.