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Novel AI model could accelerate drug discovery and precision medicine
A new AI model can accelerate drug discovery by accurately predicting human response to novel drug compounds.
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Artificial Intelligence
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Machine-learning technique classifies key immune cells for suite of diseases
Trinity College Dublin has developed a new technique that accurately determines the state of macrophages.
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Artificial intelligence model finds potential drug molecules a thousand times faster
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
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New scientist at Rockefeller University plans to unlock vast chemical spaces for drug discovery using algorithms
Jiankun Lyu hopes to use algorithms to find improved drugs by screening chemicals that may look different to a protein’s known ligands but work in a similar way.
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AI-based screening method could boost speed of new drug discovery
Using an AI algorithm that models drug and target protein interactions, researchers achieved up to 97 percent accuracy in identifying promising drug candidates.
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Application note: Hyperion+ imaging system
A powerful tool to study complex phenotypes and cellular interactions. Map spatial interactions twice as fast with this second-generation system.
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Unravelling cell biology through artificial intelligence
The AI algorithm was able to predict the presence and the location of nuclei in more than 8,000 cells.
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How 3D biology is shaping the future of drug discovery
27 July 2022 | By Molecular Devices & HeartBeat.bio
Watch this virtual panel discussion to identify ways to overcome common challenges in 3D biology research, regardless of where you are in your journey.
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ELRIG: New modalities in pharmacology and drug discovery
Drug Target Review’s Ria Kakkad recently visited ELRIG and the British Pharmacological Society’s conference on New Modalities in Pharmacology and Drug Discovery which took place in London, UK. This article shares some of the key takeaways from the event.
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A mathematical algorithm to network complex drug interactions
Researchers used mice to develop a mathematical algorithm of a heart attack.
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Drug Target Review Imaging ebook
In this section, Dr Peter O’Toole, University of York, examines innovation in the field of microscopy for drug discovery and development research, while in an exclusive Q&A, Dr Michael Grange, Rosalind Franklin Institute, discusses the advantages of utilising cryo-electron tomography imaging.
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Novel machine learning technique to develop new drugs
New machine learning models could propose new molecules that have specific properties which could fight certain diseases, doing in minutes what might take humans months to achieve manually.
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Retinal cell map could advance precise cell and gene therapies for retinal diseases
Researchers have identified distinct differences among the cells comprising a tissue in the retina, findings that could help develop precise therapies for retinal diseases.
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A revolutionary deep learning model to predict undesired drug-drug interactions
Scientists have developed a deep learning-based model trained on drug-induced gene expression signatures to predict drug-drug interactions.
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Emerging trends in biotherapeutic development
The COVID-19 pandemic has placed a spotlight on the discovery and development of biotherapeutics, for both the treatment and prevention of diseases. In this article, industry experts discuss the emerging trends they see in biotherapeutic development and how they predict the field will evolve in the near future.