The potential of deep learning: generating drug targets
Researchers have designed synthetic, soluble versions of cell membrane proteins, which will enable faster and easier screening for new drugs.
List view / Grid view
In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.
Researchers have designed synthetic, soluble versions of cell membrane proteins, which will enable faster and easier screening for new drugs.
We had the privilege of speaking to Cellarity’s CEO, Fabrice Chouraqui, about how the company is leveraging AI to completely revolutionise the drug discovery process and unlock treatments for a vast array of diseases, even in the absence of known targets.
Recently there have been a flurry of announcements from AI-led biotechs around the potential of Large Language Models (LLM) in early drug discovery. In the first of a three-part series, Dr Raminderpal Singh explores what LLMs are, how early stage biotechs can take advantage of them, and what challenges they…
Mini-colons, which closely resemble in vivo tissue, were used for several applications, including the characterisation of anticancer drug toxicity profiles.
20 June 2024 | By Eurofins DiscoverX
Join this webinar to discover how GPCR functional, cell-based assays determine off-target effects, reveal safety issues, and define drug mechanism of action to ultimately evaluate the therapeutic potential of candidate molecules.
Researchers found, using human respiratory epithelium organoids, that P. aeruginosa breaches respiratory epithelia by goblet cell invasion.
The future of liquid biopsy is poised to revolutionise medical diagnostics and treatment. Explore the latest advancements and future prospects of liquid biopsy in our comprehensive eBook.
Dr H. Rachel Lagiakos is a Senior Principal Scientist in the Therapeutics Group at Schrödinger which she joined in 2018. She completed her PhD in Synthetic Organic Chemistry at Monash University and began her medicinal chemistry career at Cancer Therapeutics (CTx) in Melbourne, Australia in 2012. At CTx, Rachel’s contributions…
In this episode, we explore our understanding of DNA and its implications for health outcomes. Additionally, we discuss the transition from DNA sequencing to actionable insights in medicine, contrasting genetics-driven drug discovery with traditional methods. Finally, we examine the evolving landscape of genetic technology and its potential impact on the…
In this Q&A, senior leaders at Caris Life Sciences discuss how the company is advancing precision medicine by integrating ADCs into patient-specific cancer treatment plans, focusing on novel target discovery through comprehensive molecular profiling and clinico-genomic data.
The world’s first generation of human BBB organoids from hPSCs accurately replicated features of cerebral cavernous malformation.
Using its AI-driven platform, Pepper Bio discovered a promising therapeutic for liver cancer. In this Q&A session with Jon Hu, CEO and co-founder of Pepper Bio, we dive into how the identification of two inhibitors led to a $135M in-licensing deal.
Neuroscientists are increasingly viewing disorders of the brain through the lens of the underlying molecular mechanisms as sometimes illuminated by genetic variants, rather than classifying disorders based solely on the clinical symptoms. The next step in the evolution of antiseizure medication will likely come from studying these molecular determinants of…
Traditional wet lab scientists working on target discovery, drug identification and drug optimisation have an opportunity to catch-up with their AI-enabled peers – but why should they, and how? In this article – the first of a three-part series – Dr Raminderpal Singh seeks to demystify the topic by outlining…
In this Q&A, Simon Kerry, CEO of Curve Therapeutics, shares the company’s recent milestones, insights into the innovative Microcycle platform, and how Curve plans to remain on the cutting edge of drug discovery.