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In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.
In this four-part series, Dr Raminderpal Singh will discuss the challenges surrounding limited data quality, and some pragmatic solutions. In this second article, he discusses the problems that occur when using data of poor quality.
Researchers have developed a new AI tool which recognises that protein behaviour can vary by cell and by tissue type.
The study highlights the possible therapeutic significance of targeting the pathway for treating obesity and metabolic disease.
In this four-part series, Dr Singh will discuss the challenges surrounding limited data quality, and some pragmatic solutions. In this first article, the key attributes that define data quality and its requirement for data scientists are elucidated.
Tune in to this episode where we explore how innovative assays and human-relevant cell models are transforming toxicity screening in drug development.
Discover how Cue Biopharma harnesses the curative potential of the body’s intrinsic immune system to develop treatments for oncology and autoimmune diseases. Here, Anish Suri, Chief Scientific Officer of Cue Biopharma, explains how its platforms and biologics are designed to selectively modulate disease-specific T cells to restore immune balance, aiming…
There have been a slew of announcements over the past few months from AI-led biotechs around the potential of Large Language Models (LLM) in early drug discovery. In the third of a three-part series, Dr Raminderpal Singh presents some pragmatic guidelines for scientists in accessing and obtaining value from LLMs.
As part of our series highlighting women in STEM, we spoke to Juliet Williams, Head of Research at Kymera. She discusses what inspired her early passion for science, the power of mentorship and what excites her most about the future of targeted protein degradation – and its potential to deliver…
Human brain organoids are complex in vitro tools derived from stem cells, designed to model the molecular basis of neurodevelopment and the pathogenesis of neurological disorders. By mimicking the function of the human brain, in both health and disease, their application in drug discovery holds significant potential for identifying new…
The inhibitor, HVH-2930, effectively induced apoptosis in breast cancer cells without initiating the heat shock response.
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.
