Machine learning calculates affinities of drug candidates and targets
A novel machine learning method called DeepBAR could accelerate drug discovery and protein engineering, researchers say.
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A novel machine learning method called DeepBAR could accelerate drug discovery and protein engineering, researchers say.
A team has developed nanolitre cell assays on droplet microarrays to enable pharmacodynamic monitoring in live cells.
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Researchers have used artificial intelligence to screen 80 FDA-approved drugs and reveal which could be used as Alzheimer's treatments.
4 March 2021 | By Eurofins Discovery
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As laboratories face the challenge of screening many samples for SARS-CoV-2, lab managers have turned to the use of automation to address key concerns.
A novel in silico approach applied to drug screening has revealed three potential candidates that may interact with multiple proteins of SARS‐CoV‐2.
Researchers have developed a new screening technique called biological activity-based modelling to identify drug candidates.
1 March 2021 | By Bruker Scientific, LLC
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26 February 2021 | By Domain Therapeutics
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According to a new report, the high-throughput screening market will increase at a CAGR of 11.5 percent from 2020 to 2025.
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