Robetta Server -- Protein structure prediction and analysis

What you can do:
Automate protein structure prediction and analysis.
Highlights:
  • Sequences submitted are parsed into putative domains and structural models are generated using either comparative modeling or de novo structure prediction methods.
  • If a confident match to a protein of known structure is found using BLAST, PSI-BLAST, FFAS03 or 3D-Jury, it is used as a template for comparative modeling.
  • If no match is found, structure predictions are made using the de novo Rosetta fragment insertion method.
  • Experimental nuclear magnetic resonance (NMR) constraints data can also be submitted with a query sequence for RosettaNMR de novo structure determination.
  • Other current capabilities include the prediction of the effects of mutations on proteinx96protein interactions using computational interface alanine scanning. The Rosetta protein design and proteinx96protein docking methodologies will soon be available.
Keywords:
  • protein structures prediction
  • protein-protein interactions
  • protein docking
  • interface alanine scanning
  • protein design
  • protein structure analysis
Literature & Tutorials:
PubMed Link: Robetta Server
This record last updated: 05-11-2005
Report a missing or misdirected URL.

The Health Sciences Library System supports the Health Sciences at the University of Pittsburgh.

© 1996 - 2023 Health Sciences Library System, University of Pittsburgh. All rights reserved.