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De novo design of modular peptide-binding proteins by superhelical matching

By: Kejia Wu ยทย Hua Bai ยทย Ya-Ting Chang ยทย Rachel Redler ยทย Kerrie E. McNally ยทย William Sheffler ยทย T. J. Brunette ยทย Derrick R. Hicks ยทย Tomos E. Morgan ยทย Tim J. Stevens ยทย Adam Broerman ยทย Inna Goreshnik ยทย Michelle DeWitt ยทย Cameron M. Chow ยทย Yihang Shen ยทย Lance Stewart ยทย Emmanuel

Nature, Published online: 05 April 2023; doi:10.1038/s41586-023-05909-9

A computational approach is used to design modular proteins that bind to synthetic peptides and disordered regions of human proteins with high affinity and specificity.

De novo design of luciferases using deep learning

By: Andy Hsien-Wei Yeh ยทย Christoffer Norn ยทย Yakov Kipnis ยทย Doug Tischer ยทย Samuel J. Pellock ยทย Declan Evans ยทย Pengchen Ma ยทย Gyu Rie Lee ยทย Jason Z. Zhang ยทย Ivan Anishchenko ยทย Brian Coventry ยทย Longxing Cao ยทย Justas Dauparas ยทย Samer Halabiya ยทย Michelle DeWitt ยทย Lauren Carter

Nature, Published online: 22 February 2023; doi:10.1038/s41586-023-05696-3

A deep-learning-based strategy is used to design artificial luciferases that catalyse the oxidative chemiluminescence of diphenylterazine with high substrate specificity and catalytic efficiency.
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