Resources
The latest in drug discovery, from novel targets and screening tools through to automation and computational chemistry
Through captivating articles, insight pieces, and spotlight interviews, we delve into the remarkable innovations, breakthroughs, and scientific marvels that have defined the landscape of research over the past year.
Target Based Discovery
Expanding the Druggable Toolbox: Improving Access to Undruggable Targets
In this Commentary article, we explore the innovative approaches towards drug target identification being championed by Cambridge-based biotechnology company PhoreMost. Identifying new druggable targets may help to address a range of unmet diseases.
SmartLabs & Automation
Lab Digitalisation: Automation, Transformation, and the Smart Labs of the Future
The quality control labs of the future have been envisioned as fully-integrated environments, automated through the capture of data in real-time. By developing labs with digital output in mind, researchers at all scales can plan for the future and refine their approach to lab digitalisation.
Medicinal Chemistry & Drug Design
Mcule: Compound Sourcing Expert
Mcule is a leading chemical marketplace for drug discovery where you can order small-molecule samples from a high-quality database. We acquire the compounds from the manufacturers and deliver them in a consolidated package, in the format specified by you
Target Based Discovery
Protein Linked to Increased Lung Cancer Survival
Evidence shows that targeting TLR2 with an agonist reduces lung tumour growth in mouse models.
AI, Machine Learning & Computational Drug Design
Cortical Labs Secures $10M to Revolutionise AI with Biological Neurons
AI startup raises funds to advance commercialisation of groundbreaking biological intelligence operating system.
AI, Machine Learning & Computational Drug Design
$1.2m Quantum Computing Drug Discovery Grant Secured by Penn State Researchers
The grant will help researchers tackle diseases like cancer using quantum computing drug discovery
AI, Machine Learning & Computational Drug Design
AI/ML Approaches in Drug Development: Applied Machine Learning in Clinical Trials
The focus in the pharmaceutical industry has been, and will remain, on generating cheaper and more detailed data through the applications of AI/ML techniques which can be interpreted more easily.
AI, Machine Learning & Computational Drug Design
Alphabet’s Calico and Terray Tx Announce Partnership to Tackle Age Related Disease
A partnership between computational drug discovery company Terray and Alphabet's Calico will focus on new therapies to fight age related disease.
AI, Machine Learning & Computational Drug Design
Orion Granted €10m to Build AI-Based ‘Research Ecosystem’ in Finland
A Finnish government agency has awarded the pharma company €?10 million to invest in their research ecosystem utilising AI and data science.
Pharma Data
Biobank Frameworks: Utilising Federated Machine Learning to Augment Data Solutions
Data quality, bias, and standardisation are all important to account for when planning for federated and non-federated learning factoring in recurrent neural networks. Biobank frameworks offer the opportunity to augment healthcare data through the appropriate implementation of machine learning.
Pharma Data
Real-World Data in Real-World Applications: Informing Future Approaches to Healthcare Provision and Drug Development
If some gaps in patient data are inevitable, then the use of RWE and RWD presents an opportunity to fill them in synthetically. Coordinated data sharing is an important aspect of consistent RWD usage.
Medicinal Chemistry & Drug Design
Bicycle Therapeutics Publishes Preclinical Data from Nectin-4 Targeting Cancer Drug
A paper published in the Journal of Medicinal Chemistry highlights Cambridge, UK based biotech, Bicycle Therapeutics’ findings regarding bicycle toxin conjugate, BT8009.
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