article
Scientific workflow for hypothesis testing in drug discovery: Part 1 of 3
Explore the step-by-step scientific workflow behind drug discovery, from formulating hypotheses to analysing data, ensuring accurate and reliable results.
List view / Grid view
Bioinformatics
news
Finding the fundamental pathway in ALD pathogenesis
Liver-specific knockdown of TRPC3 enhanced alcohol's inhibitory effect on AMPK through a mechanism of Ca2+-dependent CaMKK2 activation.
news
Using proteomics to predict long-term disability outcomes in MS
Data from protein analyses, combined with data from patient journals, enabled the discovery of proteins that predict disease progression.
news
Discovery of a previously unknown class of HK-CREs
Using bioinformatics analyses, HK-CREs impact on cellular processes was studied, including their potential as housekeeping tumour suppressors.
news
Perivascular fibroblasts support glioblastoma tumours
Glioblastomas can resist immunotherapy as perivascular fibroblasts support the creation of an immunosuppressive tumour environment.
news
The IKAROS protein is crucial for B cell development
By mapping the genome, scientists have discovered how IKAROS enables differentiation of hematopoietic stem cells into B cells.
news
Artificial intelligence cell analysis for swift blood disease diagnosis
Researchers from the German Cancer Research Center (DKFZ) and the Cambridge Stem Cell Institute have developed an artificial intelligence (AI) system capable of identifying and characterising white and red blood cells within microscopic images of blood samples. This AI algorithm holds the potential to aid medical professionals in diagnosing blood…
podcasts
Episode 20- Regulations on artificial intelligence- impact on drug discovery
Tune in to this episode to hear experts discussing the hot topic that is AI and how AI technology is used in drug discovery, looking specifically at how Biotechs & Pharma are trying to keep up with emerging technology.
news
Harnessing machine learning for early cancer detection in primary care
Machine learning (ML) presents a promising opportunity to revolutionize early cancer detection in primary care, addressing the challenges associated with diagnostic errors and improving patient outcomes. The potential of ML in this field is highlighted in a recent paper published in Oncoscience
article
Unleashing the power of AI in target discovery and resilience against disease
In this interview Drug Target Review’s Izzy Wood and Olivia Cavlan, Chief Corporate Development and Strategy Officer at Alchemab Therapeutics Ltd, uncover the untapped potential of AI in target discovery. Alchemab’s revolutionary platform aims to identify common antibodies in resilient individuals and uncover the antigens that contribute to their disease-fighting…
news
Blood plasma proteins hold answers to better understanding long COVID
10 to 20 percent of individuals that get COVID-19 will be later diagnosed with long COVID. New research looks at blood plasma protein patterns that can improve patient outcomes.
news
Revolutionary way to measure proteins aids precision medicine advancements
Using a nanofluidic aptamer nanoarray to measure biomolecules including proteins, Japanese researchers are attempting to bridge the gap for precision medicine
news
Computational tool gets more out of multi-omics data
US researchers developed a next-generation computational tool called NetBID2 that can uncover difficult-to-identify proteins that drive biological processes contributing to cancer.
news
New class of ribosomal peptide “daptides” discovered by researchers
Researchers from the University of Illinois have identified a new class of ribosomally synthesised and post-translationally modified peptides (RiPPs) named "daptides" that have haemolytic activity.
article
Drug Target Review – Issue 1 2023
A new Drug Target Review is now ready to download! This issue features articles which explore antibodies, vaccines and assays.