首页|University of Catania Reports Findings in Artificial Intelligence (Contribution of Artificial Intelligence to the Identification of Protein-Protein Interactions : A Case Study on PAR-3 and Its Partner Adapter Molecule Crk)
University of Catania Reports Findings in Artificial Intelligence (Contribution of Artificial Intelligence to the Identification of Protein-Protein Interactions : A Case Study on PAR-3 and Its Partner Adapter Molecule Crk)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Catania , Italy, by NewsRx editors, the research stated, "Protein-protein interactions ( PPIs) are known to be involved in most cellular functions, and a detailed knowle dge of such interactions is essential for studying their role in normal and path ological conditions. Significant progress is being made in the identification of PPIs through advances in computational methods." The news reporters obtained a quote from the research from the University of Cat ania, "In particular, the AlphaFold2 machine learning-based model has been shown to accelerate drug discovery process by predicting the 3D structure of protein complexes. In this chapter, a straightforward protocol for predicting interprote in interactions between PAR-3 and its protein partner adapter molecule crk is pr ovided." According to the news reporters, the research concluded: "Such artificial intell igence-based and publicly available approaches can provide a resource for furthe r investigation of therapeutic drug targets." This research has been peer-reviewed.
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