Identifying Similar Patterns of Structural Flexibility in Proteins by Disorder Prediction and Dynamic Programming.

ABSTRACT: Computational methods are prevailing in identifying protein intrinsic disorder. The results from predictors are often given as per-residue disorder scores. The scores describe the disorder propensity of amino acids of a protein and can be further represented as a disorder curve. Many proteins share similar patterns in their disorder curves. The similar patterns are often associated with similar functions and evolutionary origins. Therefore, finding and characterizing specific patterns of disorder curves provides a unique and attractive perspective of studying the function of intrinsically disordered proteins. In this study, we developed a new computational tool named IDalign using dynamic programming. This tool is able to identify similar patterns among disorder curves, as well as to prese

SUBMITTER: Petrovich A 

PROVIDER: S-EPMC4490526 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature