Sequence-Based Prediction of Metamorphic Behavior in Proteins.

ABSTRACT: An increasing number of proteins have been demonstrated in recent years to adopt multiple three-dimensional folds with different functions. These metamorphic proteins are characterized by having two or more folds with significant differences in their secondary structure, in which each fold is stabilized by a distinct local environment. So far, ∼90 metamorphic proteins have been identified in the Protein Databank, but we and others hypothesize that a far greater number of metamorphic proteins remain undiscovered. In this work, we introduce a computational model to predict metamorphic behavior in proteins using only knowledge of the sequence. In this model, secondary structure prediction programs are used to calculate diversity indices, which are measures of uncertainty in predicted secondar

SUBMITTER: Chen N 

PROVIDER: S-EPMC7567988 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature