According to the official website of the University of Cambridge in the UK, researchers at the university have greatly acceleratedParkinson'sThe development of disease treatments.
The researchers designed and used a AI strategy,To identify and block alpha-synuclein(IT Home Note: Characteristic protein of Parkinson's disease)Aggregated small moleculesThis is also one avenue for finding potential treatments for Parkinson's disease.
The TeamUsing machine learning techniques, a chemical library containing millions of entries was quickly screened, to identify small molecules that bind to amyloid aggregates and prevent their proliferation, ultimately identifying five highly effective compounds for further study.
Leveraging artificial intelligence,The initial screening process is now 10 times faster and costs 1/1000th of what it was before, making the development of potential Parkinson's disease treatments significantly faster than before. According to Professor Michelle Vendroscolo, the leader of the study,Machine learning is having an impact on the drug discovery process, speeding up the process of identifying the most promising drug candidates.Due to the significant reduction in time and cost, multiple drug development programs can be implemented in the future.
The research results have been published in the journal Nature Chemical Biology.Click here to go