Publication

De novo protein design by inversion of the AlphaFold structure prediction network

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

De novo protein design by inversion of the AlphaFold structure prediction network

Graph Chatbot

Chat with Graph Search

Design of an artificial phage-display library based on a new scaffold improved for average stability of the randomized proteins

Systems and methods for de novo design of protein interactions with learned surface fingerprints

Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins

New protein–protein interactions designed by a computer

Difference in astringency of the main pea protein fractions

Motifs for making tricycles

Towards automating de novo protein design for novel functionalities: controlling protein folds and protein-protein interactions

Deep learning approaches for conformational flexibility and switching properties in protein design

A generic framework for hierarchical de novo protein design

Molten globule-like transition state of protein barnase measured with calorimetric force spectroscopy