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AI reveals nature of RNA-protein interactions
AI reveals nature of RNA-protein interactions
A new computational tool developed by KAUST scientists uses artificial intelligence (AI) to infer the RNA-binding properties of proteins.
The software, called NucleicNet, outperforms other algorithmic models of its kind and provides additional biological insights that could aid in drug design and development.
In collaboration with researchers in China and the United States, Lam, Li and Gao validated their algorithm on a diverse set of RNA-binding proteins, including proteins implicated in gum cancer and amyotrophic lateral sclerosis, to show that the interactions deduced by NucleicNet closely matched those revealed by experimental techniques. They reported the findings in Nature Communications.
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In Memory of CBRC founding Director Vladimir Bajic
In Memory of CBRC founding Director Vladimir Bajic
We are sad to report that Professor Vladimir Bajic passed away on 31st October, 2019 at the age of 67.
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CBRC Congratulates Associate Professor Xin Gao on winning the TAQADAM startup accelerator showcase at KAUST.
CBRC Congratulates Associate Professor Xin Gao on winning the TAQADAM startup accelerator showcase at KAUST.
Out of the 18 startup finalists, from 13 Universities throughout the Kingdom, Prof. Xin Gao and co-founders had the opportunity to pitch their start-up project in the 3rd annual TAQADAM showcase, on September 26th, 2019.
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