A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
The final, formatted version of the article will be published soon. Accurately predicting protein-ligand binding affinity is key in drug discovery. Machine Learning and Deep Learning methods used in ...
Jia’s team developed a protocol to improve the screening of protein pockets. This involved identifying the pockets, removing ...
We know the genes, but not their functions—to resolve this long-standing bottleneck in microbial research, a joint research team has proposed a cutting-edge research strategy that leverages artificial ...
We know the genes, but not their functions." To resolve this long-standing bottleneck in microbial research, a joint research team has proposed a ...
Codon optimization is a central strategy in recombinant protein production, enabling genes from one organism to be efficiently expressed in another. Conventional methods typically replace ...
David Baker, Nobel Prize laureate and UW biochemistry professor, detailed the design and applications of new proteins using deep learning programs at Kane Hall on Oct. 28. Research assistant professor ...
Google has announced new features in the popular Google Finance platform, and it leans heavily on Google’s tried-and-true strategy of more AI in more places. This builds on Google’s last Finance ...
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