NucleicNET. AI reveals nature of RNA-protein interactions. Prof. Xin Gao.
Автор: KAUST CEMSE
Загружено: 2019-12-24
Просмотров: 419
Описание:
Professor Xin Gao from King Abdullah University of Science and Technology introduces a new computational tool that has been developed by KAUST scientists and which uses artificial intelligence (AI) to infer the RNA-binding properties of proteins. “RNA binding is a fundamental feature of many proteins, the structure-based computational framework can reveal detailed RNA-binding properties of these proteins, which is important for characterizing the pathology of many diseases.”
Proteins routinely interface with RNA molecules as a way to control the processing and transporting of gene transcripts—and when these interactions go awry, information flow inside the cell is disrupted and disorders can arise, including cancer and neurodegenerative disease.
For more information on
Professor Xin Gao Structural and Functional Bioinformatics Research Group
https://sfb.kaust.edu.sa/
Follow KAUST Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division also on
https://cemse.kaust.edu.sa
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