Wang2022 - Scaffolding protein functional sites using deep learning

ABSTRACT: Deep learning approaches for scaffolding such functional sites without needing to prespecify the fold or secondary structure of the scaffold. The first approach, “constrained hallucination,” optimizes sequences such that their predicted structures contain the desired functional site. The second approach, “inpainting,” starts from the functional site and fills in additional sequence and structure to create a viable protein scaffold in a single forward pass through a specifically trained RoseTTAFold network.

SUBMITTER: Kieran Didi 

PROVIDER: MODEL2304300001 | biostudies-other |

SECONDARY ACCESSION(S): 10.1126/science.abn2100

REPOSITORIES: biostudies-other