Zero-shot mutation effect prediction on protein stability and function using RoseTTAFold.

ABSTRACT: Predicting the effects of mutations on protein function and stability is an outstanding challenge. Here, we assess the performance of a variant of RoseTTAFold jointly trained for sequence and structure recovery, RF_joint , for mutation effect prediction. Without any further training, we achieve comparable accuracy in predicting mutation effects for a diverse set of protein families using RF_joint to both another zero-shot model (MSA Transformer) and a model that requires specific training on a particular protein family for mutation effect prediction (DeepSequence). Thus, although the architecture of RF_joint was developed to address the protein design problem of scaffolding functional motifs, RF_joint acquired an understanding of the mutational lands

SUBMITTER: Mansoor S 

PROVIDER: S-EPMC10578109 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature