Advancements in machine learning are reshaping protein structure prediction, offering efficient tools that enhance drug ...
Zhang and his colleagues designed a generative AI model called ChromoGen to quickly ‘read’ DNA sequences and predict the ...
Its end-to-end deep learning approach directly predicted 3D structures ... have improved sequence optimization, outperforming traditional methods. These advances make protein design more efficient ...
The AlphaFold program uses neural networks to perform deep learning, identifying patterns in sequences and structures of proteins found in a global database. As it learns over time, the program can ...
But most scientists would agree that the seed of the protein-folding problem was planted in the field of protein biology when biochemist Christian Anfinsen won the Nobel Prize in Chemistry in 1972 ...
The sequence of ... dimensional shape of a protein determines its function. This is because proteins form attachments and interact with many other molecules and structures inside organisms.
A novel, freely available AI tool has cut the time it takes to determine chromatin structure from days to minutes. The 3D ...