New research could help find a therapy to treat COVID-19
Researchers from the Technical University of Munich have successfully used specific enzymes to destroy the genetic information of SARS-CoV-2 directly after the virus enters a cell.
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In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.
Researchers from the Technical University of Munich have successfully used specific enzymes to destroy the genetic information of SARS-CoV-2 directly after the virus enters a cell.
A recent paper highlights how tiny robots with living parts can be designed to effectively deliver drugs to body tissues.
A study has shown how Parkinson’s disease may be driven by cell stress-related biochemical events that disrupt a key cellular clean-up system.
MIT chemists have discovered a possible way to design drugs that could fight against drug resistance.
Researchers at Mayo Clinic, US found that messenger RNA could be used at low doses to regenerate bones without side effects.
Listen to this podcast to discover why mAbs are key in the fight against SARS-CoV-2 and how the pandemic has shaped their development pipeline.
Researchers have identified potential age-related macular degeneration drugs using a novel stem-cell based research tool.
Using virtual screening, researchers have discovered several natural compounds that could inhibit the SARS-CoV-2 main protease.
Sanofi and Exscientia will develop up to 15 novel drug candidates by leveraging the latter's AI discovery and optimisation platform.
A research team based at Skoltech in Russia has developed an artificial intelligence-driven solution for highly accurate detection of efficacious binding sites to expedite drug discovery.
In this latest episode, we discuss how small molecule discovery can be automated and how this process saves researchers time and money.
Altasciences has announced its acquisition of Sinclair Research, a pre-clinical CRO, to expand its services across the US.
A new platform, named Virtual Synthon Hierarchical Enumeration Screening, has been developed by researchers to efficiently discover drugs.
Taking a novel approach to antibiotic discovery, researchers at Rockefeller University have hit upon a promising solution to the problem of superbugs – a pervasive threat in hospitals the world over.
In this Q&A, Professor Ross King from the University of Cambridge, UK, discusses how a new machine learning approach could aid drug discovery and development. The method learns from multiple problems and improves performance while it learns.