All Drug Discovery articles – Page 26
-
ArticlePart four: an industry leader’s perspective on managing data quality
In this four-part series, Dr Raminderpal Singh discusses the challenges surrounding limited data quality and offers some pragmatic solutions. In this fourth article, he talks to John Conway, Chief Visioneer Officer at 20/15 Visioneers for an expert perspective.
-
ArticleInitial in vivo validation of novel cancer therapeutics using AI
In this Q&A, Dr Alan D. Roth, CEO of Oxford Drug Design, explains how his AI drug discovery company, which develops novel molecules for use in cancer treatments, has completed the first in vivo validation in its potential first-in-class approach against multiple tumours. A 28-day mouse trial showed clear efficacy ...
-
ArticleDrug candidates with blockbuster potential for CNS diseases
In this Q&A, Kristina Torfgård, CEO of IRLAB Therapeutics, discusses the Company’s current drug development pipeline, including two promising preclinical projects. Kristina also details their proprietary drug discovery and development platform which has enabled the production of many first-in-class candidates, and what she envisions for the future.
-
NewsSino Biological and BioGeometry: advancing protein R&D
The expansion of Sino Biological and BioGeometry’s strategic partnership promises to accelerate drug discovery.
-
ArticlePart two: the impact of poor data quality
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.
-
NewsOvercoming the limitations of existing AI models
Researchers have developed a new AI tool which recognises that protein behaviour can vary by cell and by tissue type.
-
News
Discovery of a signalling pathway that activates desire to exercise
The study highlights the possible therapeutic significance of targeting the pathway for treating obesity and metabolic disease.
-
ArticlePart one: an introduction to data quality
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.
-
ArticleAdvanced techniques in toxicity testing
Tune in to this episode where we explore how innovative assays and human-relevant cell models are transforming toxicity screening in drug development.
-
ArticleTranslating ‘nature’s cues’ into breakthrough immunotherapies
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 ...
-
ArticlePart three: pragmatic guidelines to getting the best out of LLMs
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.
-
ArticleWomen in STEM with Juliet Williams
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 ...
-
ArticleBrain organoids: a fascinating and powerful tool for drug discovery
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 ...
-
NewsNovel inhibitor developed to combat HER2-positive breast cancer
The inhibitor, HVH-2930, effectively induced apoptosis in breast cancer cells without initiating the heat shock response.
-
NewsThe 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.
-
ArticleChanging the paradigm of drug discovery processes with AI
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.
-
ArticlePart one: what can scientists do with LLMs today?
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 ...
-
NewsMini-colons offer improved cellular diversity, longevity and function
Mini-colons, which closely resemble in vivo tissue, were used for several applications, including the characterisation of anticancer drug toxicity profiles.
-
WebinarThe value of GPCR cell-based assays in drug discovery
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.
-
NewsP. aeruginosa infection method elucidated with microtissue model
Researchers found, using human respiratory epithelium organoids, that P. aeruginosa breaches respiratory epithelia by goblet cell invasion.


