List view / Grid view
The latest generation of three-dimensional (3D) cell models offer new and exciting possibilities for pharmaceutical research. However, deciding how to capture sufficient information in the most efficient way from an experiment without making the data size overwhelming can prove challenging. Margaritha Mysior and Jeremy Simpson discuss the opportunities and challenges…
Exploring large databases and selecting compounds of interest can be extremely time-consuming for researchers. Here, Sacha Javor, Horst Flotow and Jingwen Shi discuss a novel chemoinformatics approach for drug discovery.
The Genome Aggregation Database (gnomAD) Consortium has released seven papers leveraging its database to study genetic variants and their potential for guiding discovery of safer drugs.
The stem cells in-depth focus includes articles on using computational approaches to expand the applications of stem cell therapies and how organoids could be used to speed up the drug discovery process with a focus on retinal disease.
The COVID-19 Protein Portal, established by UKRI and Wellcome, will allow scientists in the UK to access protein reagents needed for research.
The UK National Institute of Health Research (NIHR) and UK Research and Innovation (UKRI) wish to fund research exploring if people from black, Asian and middle eastern backgrounds are disproportionately at risk from COVID-19.
Researchers at MIT have developed a mathematical model that can calculate whether diabetes treatments in pre-clinical trials will be successful in humans.
To reach the full potential of artificial intelligence (AI) in the pharma industry, it is essential that companies harmonise their data to remove the need for unnecessary human intervention. This article outlines how companies are working towards digital maturation and the obstacles they need to overcome to ensure the value…
Gone are the days where mere data is considered king. We now understand the real value is in proper data management; but how best to harness its value? This article addresses current market options for companies wanting to extract every ounce of knowledge from raw data.
The newest version of the Unified Data Model (UDM) project has been released, allowing R&D scientists to access information on compound synthesis and testing.
Researchers have developed an artificial neural network using deep learning to identify genes that are related to disease.
Researchers have used stem cells, CRISPR and gene sequencing technology to create the basis of a new brain cancer model that could offer opportunities for drug discovery.
Laboratory Information Management Systems (LIMS) is becoming increasingly important in GMP regulated environments in order to ensure data integrity and faster working practices.
A survey has shown that the pharmaceutical industry believes R&D will see a lot of benefit from digital transformation and that AI will be at the forefront.
A study has shown that unintended mutations from gene editing with CRISPR-Cas9 are rare in zebrafish, providing reassurance that this technology is a valid tool with great promise for the treatment of genetic disorders.
