The team experimentally quantified the aggregation of more than 100,000 protein sequences, and used this dataset to train the new AI tool for predicting ... interpretable deep learning of protein ...

Class Disrupted is an education podcast featuring author Michael Horn and Futre’s Diane Tavenner in conversation with educators, school leaders, students and other members of school communities as ...

Certain segments in the sequence strongly influence specific functions, but identifying these segments, or so-called motifs, is challenging due to the complexity of sequential data. While deep ...

“We’re creating protein sequences that don ... and combines AI with biomanufacturing. MacDonald developed the technique as a researcher at Imperial, designing protein fibres using proprietary deep ...

Researchers developed a new machine learning method that, given a relevant amino acid sequence, can automatically predict the location of a protein in any human cell line down to the single-cell level ...

In a study published in Nature Communications, researchers at the University of Wisconsin–Madison introduced a deep learning ...

An AI tool has ... one in every five protein fragments (21,936/100,000) caused clumping, while the rest did not. While previous studies might have tracked a handful of sequences, the new dataset ...

As researchers work to improve treatment of Alzheimer's disease, new research by UCLA Health identified a candidate drug that ...

We've discussed the rapid rise of generative AI and chatbots in an older episode, but this time we're specifically looking at Agentic AI, a term you might have heard a lot in recent times.