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Drug Target Review Screening ebook 2022
In this ebook are articles on how artificial intelligence can be used to identify drug candidates, data-lead screening models and autonomous strategies for molecular discovery.
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Artificial Intelligence
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ebook: A data-driven approach to preclinical drug discovery
This ebook details Euretos’ approach to predicting novel gene-disease associations including a case study on Multiple Sclerosis GWAS and drug targets.
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Drug Target Review – Issue 4 2022
A new Drug Target Review issue is now ready to download! This issue features articles which explore how artificial intelligence can enhance screening and ways to find new hits through simultaneous orthogonal screens. Also included are articles on CRISPR, immuno-oncology and RSV vaccines.
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ebook: Microscopy for neuroscience research
Imaging the structure and function of the nervous system at a cellular level – challenges and considerations.
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The future of drug development: AI tailors artificial DNA
Swedish researchers have designed synthetic DNA that controls a cells’ protein production using AI.
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Scientists develop an AI model to make enzyme engineering more efficient
Researchers have streamlined the traditionally slow process of enzyme engineering. This work might help researchers tailor the suitability of enzymes for custom purposes.
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AI helps produce nanozyme treatment to regenerate hair in mice
Researchers have used AI to design microneedle patches that restore hair in balding mice.
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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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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.