Isolated components found in the Saussurea controversa plant have antimicrobial and regenerative properties which could lead to a treatment for bone diseases.
List view / Grid view
Filter the results
A study using high-throughput screening has revealed some promising compounds that could be used in future cancer treatments.
In a recent study more than half of patients with advanced prostate cancers appear to be strong candidates for targeted cancer therapies.
Application note: Direct measurements of cellular metabolism for identification of mitochondrial drug targets
Drug target identification has a key role in the drug discovery value chain. A critical step in the development of pharmaceuticals is identifying the direct targets of potential drug candidates as well as distinguishing any secondary or off-target effects...
Scientists have equipped a virus that kills carcinoma cells with a protein so it can also target and kill adjacent cells...
In today’s modern world, data is everywhere. This eBook will guide you through the steps of how to achieve more with accurate data.
This whitepaper explains how you can find ways to optimise the holistic preclinical development process...
Researchers report that in preclinical models they can amplify macrophage immune responses against cancer using a self-assembling supramolecule...
Penn study suggests that targeting amyloid fibrils could prevent sexual transmission...
For lead optimisation, target-based assays are still the most affordable means of rapidly performing fast iterations and remain core to screening. However, the desire for biological relevance is driving ongoing growth in cell-based assays.
There are no short-cuts in the complex field of lipidomics, explains Cristina Legido-Quigley, a Principal Investigator in Systems Medicine at Steno Diabetes Center Copenhagen in Denmark and at King’s College London.
Application note: Simultaneous dual phosphoprotein target analysis with Alpha Terbium SureFire Ultra Multiplex
This application note discusses how the Alpha SureFire® Ultra™ Multiplex technology provides a phosphoprotein multiplexing detection platform that is truly homogeneous and high throughput.
Declining R&D productivity is a key challenge in the pharmaceutical industry. To increase the success rate of candidate drugs entering the clinical phase, companies must address the early stages of drug discovery.
Predictiveness is one of the key factors for success in the drug discovery workflow. Many compounds fail at late stages due to lack of predictive data or the discovery of unwanted side effects.