.png){kind=icon}
Return
GalaxyRefine: protein structure refinement driven by side-chain repacking
.png){kind=icon}
OA
AI
DOI：10.1093/nar/gkt458.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The quality of model structures generated by contemporary protein structure prediction methods strongly depends on the degree of similarity between the target and available template structures. Therefore, the importance of improving template-based model structures beyond the accuracy available from template information has been emphasized in the structure prediction community. The GalaxyRefine web server, freely available at http://galaxy.seoklab.org/refine, is based on a refinement method that has been successfully tested in CASP10. The method first rebuilds side chains and performs side-chain repacking and subsequent overall structure relaxation by molecular dynamics simulation. According to the CASP10 assessment, this method showed the best performance in improving the local structure quality. The method can improve both global and local structure quality on average, when used for refining the models generated by state-of-the-art protein structure prediction servers.
Keywords:
STRUCTURE PREDICTION
WEB SERVER
I-TASSER
CASP9
DYNAMICS
REGIONS
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
13.1
Papers:
3.6W
Citations:
29.0W
Organization
Cited Papers
ShareSaveI-TASSER: a unified platform for automated protein structure and function prediction.png)
NATURE PROTOCOLSOAAI
NATURE PROTOCOLSIF16
OAAIShareSave
View more