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Latest in lab automation
In this article Drug Target Review's Izzy Wood highlights three of the latest findings using lab automation techniques and technologies that aid scientists.
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Bioinformatics
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Researchers discover small molecules that bind to SARS-CoV-2 spike proteins
The resulting compounds, which can bind to spike proteins from the original coronavirus, could serve as a starting point for developing broad-spectrum treatments for COVID-19.
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Artificial intelligence: a great crash of hype into reality
Technology is infamous for falling into a hype cycle, with its peaks and valleys of exaggerated expectations and disillusionment — AI-driven drug discovery is no exception. In this article, Aaron Daugherty, Vice President Discovery at Aria Pharmaceuticals, highlights how the industry can use AI to transform research.
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Different cardiac reactions to stress hormone in mouse study
US researchers use new imaging technique to see cardiac reactions to noradrenaline, the ‘fight or flight’ hormone.
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Researchers develop an all-optical system for testing lab-on-a-chip human hearts
A novel all-optical system uses optogenetics, machine vision cameras, and off-the-shelf components to stimulate and image engineered networks of human heart cells.
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New database maps proteins that could predict cancer
Swedish researchers unveiled a new cancer protein profile database compiled from artificial intelligence and machine learning.
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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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Powerful computer modelling approach developed to simulate cells
A study has proposed a new technique for modelling living cells at atomic resolution, which could be used to research human health.
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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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New approach to brain imaging leaves skulls intact in mice
The researchers created a chronic skull optical clearing window where they no longer needed to remove any piece of the skull.
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Researchers develop a small molecule that makes immunotherapy available to all cancer patients
Scientists have identified and synthesised a small molecule that could be a more accessible and affective alternative to an antibody that treats a wide range of cancers.
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First captured image of antigen-bound T-cell receptor at near-atomic resolution
Using cryo-electron microscopy, researchers have captured the structure of a membrane-bound T-cell receptor complex with bound antigen.
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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.