Case study: Takeda streamline analytical handling
Read how Takeda simplified analytical data processing for their Process and Medicinal chemists by consolidating to a single piece of software.
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Read how Takeda simplified analytical data processing for their Process and Medicinal chemists by consolidating to a single piece of software.
Learn how method development software helped Janssen Pharmaceuticals reduce method development time by 80% with a 25-fold increase in method quality
Track the emergence and fate of impurities throughout drug development, attach all the relevant analytical data, and store searchable knowledge.
Rick Wagner of ZebiAI and Patrick Riley of Google Accelerated Science (GAS) discuss the development and benefits of a new machine learning drug discovery platform.
Researchers have developed a video and model-building programme for other scientists to build full-length COVID-19 S protein models.
An artificial intelligence platform available online has been designed to help researchers track the genetics of SARS-CoV-2 as it moves from person to person.
Collaboration between scientists, illustrators and simulators has culminated in highly detailed three-dimensional (3D) models of SARS-CoV-2.
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.
Scientists have developed a method for designing artificial proteins that tell the immune system which antibodies to produce so could enhance vaccine design.
Researchers are utilising computers to aid in their investigations into a COVID-19 treatment. Here, we highlight three studies using simulations, calculations and AI to identify a drug to combat the coronavirus.
The COVID-19 Protein Portal, established by UKRI and Wellcome, will allow scientists in the UK to access protein reagents needed for research.
A new AI tool has been created by researchers to identify the best treatment courses and doses for bacterial or viral infections, such as COVID-19.
A group of researchers has created a free library of 14,000 known macrolactones for other scientists to use in drug development.
Researchers at MIT have developed a mathematical model that can calculate whether diabetes treatments in pre-clinical trials will be successful in humans.
In light of the COVID-19 pandemic, the creators of the Clinical Research Navigator (CRN) tool have offered free access to their system for biomedical researchers.