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Turning AI into a biological design engine
DenovAI has unveiled a powerful AI-driven protein design platform capable of creating new, functional synthetic proteins from scratch - marking a big step forward for drug discovery.
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Bioinformatics
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AI just made protein design smarter and faster
Meet the AI tool that creates proteins that fold better, bind tighter and perform more reliably. Find out why it matters for next-generation medicines.
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K Navigator: an AI co-pilot transforming biomedical research
K Navigator, a new AI-powered research co-pilot, is set to transform biomedical science by helping researchers explore complex data and accelerate discoveries.
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Enedra secures funding to advance AI-driven cancer platform
Enedra Therapeutics has secured new funding to advance its AI-driven CASPAROV platform, aimed at developing therapies for difficult-to-treat cancers
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Outsmarting cancer by exploiting DNA repair flaws
Researchers at ETH Zurich in Switzerland have mapped the complex network cells use to repair their genetic material, revealing previously hidden vulnerabilities in cancer cells.
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Navigating the AI revolution: a roadmap for pharma’s future
AI-driven drug development, powered by advanced models and expanding data access, is becoming a reality. Learn why navigating regulatory hurdles and mastering biology’s inherent complexities are crucial to fully unlocking its potential.
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Scientific workflow for hypothesis testing in drug discovery: part 3 of 3
Drug discovery scientists develop and test complex hypotheses using data and expertise, and build workflows to support this. In this third and final article, Dr Raminderpal Singh and Nina Truter summarise the tools used in the scientific workflow – and include key considerations.
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UVA’s computer models target antibiotics to combat resistance
Researchers at the University of Virginia School of Medicine have developed computer models to create more targeted antibiotics. This approach aims to fight antibiotic resistance by focusing on specific bacteria in different parts of the body, reducing the reliance on broad-spectrum antibiotics.
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Boltz-1: A new open-source AI tool for drug discovery
MIT's new open-source AI model, Boltz-1, could transform drug discovery by accurately predicting protein structures, offering global access to researchers.
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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.
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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.
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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.
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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.
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Perivascular fibroblasts support glioblastoma tumours
Glioblastomas can resist immunotherapy as perivascular fibroblasts support the creation of an immunosuppressive tumour environment.
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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.
