首页|Shenzhen Institute of Advanced Technology Reports Findings in Machine Learning (Computational drug development for membrane protein targets)
Shenzhen Institute of Advanced Technology Reports Findings in Machine Learning (Computational drug development for membrane protein targets)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating in Shenzhen, People’s Republic of China, by NewsRx journalists, research stated, “The application of computational biology in drug development for membrane protein targets has experienced a boost from recent developments in deep learning-driven structure prediction, increased speed and resolution of structure elucidation, machine learning structure-based design and the evaluation of big data. Recent protein structure predictions based on machine learning tools have delivered surprisingly reliable results for water-soluble and membrane proteins but have limitations for development of drugs that target membrane proteins.” The news reporters obtained a quote from the research from the Shenzhen Institute of Advanced Tech- nology, “Structural transitions of membrane proteins have a central role during transmembrane signaling and are often influenced by therapeutic compounds. Resolving the structural and functional basis of dy- namic transmembrane signaling networks, especially within the native membrane or cellular environment, remains a central challenge for drug development.” According to the news reporters, the research concluded: “Tackling this challenge will require an interplay between experimental and computational tools, such as super-resolution optical microscopy for quantification of the molecular interactions of cellular signaling networks and their modulation by potential drugs, cryo-electron microscopy for determination of the structural transitions of proteins in native cell membranes and entire cells, and computational tools for data analysis and prediction of the structure and function of cellular signaling networks, as well as generation of promising drug candidates.” This research has been peer-reviewed.
ShenzhenPeople’s Republic of ChinaAsiaCyborgsDrug DevelopmentDrugs and TherapiesEmerging TechnologiesHealth and MedicineMachine LearningMembrane Proteins
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