Crysalis: an integrated server for computational analysis and design of protein crystallization.

ABSTRACT: The failure of multi-step experimental procedures to yield diffraction-quality crystals is a major bottleneck in protein structure determination. Accordingly, several bioinformatics methods have been successfully developed and employed to select crystallizable proteins. Unfortunately, the majority of existing in silico methods only allow the prediction of crystallization propensity, seldom enabling computational design of protein mutants that can be targeted for enhancing protein crystallizability. Here, we present Crysalis, an integrated crystallization analysis tool that builds on support-vector regression (SVR) models to facilitate computational protein crystallization prediction, analysis, and design. More specifically, the functionality of this new tool includes: (1) rapid selection o

SUBMITTER: Wang H 

PROVIDER: S-EPMC4764925 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature