Note: The I-TASSER Server has been moved to http://zhanglab.ccmb.med.umich.edu/I-TASSER. Please use the new website to submit your sequences. The server at this website website no longer accepts new submission. All the sequences previously submitted to this server will keep running till completed.



(The server has completed structure and function predictions for 31817 proteins submitted by 7127 users from 83 countries)
(Number of visitors: 174191)

I-TASSER is an Internet service for protein structure and function predictions. Models are built based on multiple-threading alignments by LOMETS and iterative TASSER simulations. I-TASSER (as 'Zhang-Server') was ranked as the No 1 server in recent CASP7 and CASP8 experiments. The server is in active development with the goal to provide accurate structural and function predictions using state-of-the-art algorithms. The server is only for non-commercial use. Please send your questions and comments to zhanglab@ku.edu. (More about the server ...)

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Copy and paste your sequence here (<1,500 residues):

Or upload the sequence from your local computer:

Email: (mandatory, where results will be sent to)

ID: (optional, your given name of the protein)

As an option, you can assign additional restraints & templates to guide I-TASSER modeling (More explanation on how to add restraints)

  • Assign contact/distance restraints
  • Atom-atom restraints; Explanation
  • Specify template without alignment
  • Type a PDBID; Explanation
  • Specify template without alignment
  • Upload a structure Explanation
  • Specify template with alignment
  • Template & alignment; Explanation

Note: The I-TASSER Server has been moved to http://zhanglab.ccmb.med.umich.edu/I-TASSER. Please use the new website to submit your sequences. The server at this website no longer accepts new submission. All the sequences previously submitted to this server will keep running till completed.


I-TASSER News (since January, 2009):
  • 2010/01/12: The I-TASSER server was moved from the University of Kansas to the University of Michigan Medical School. The new supercomputer cluster at UM provides significant help in speeding up the modeling procedure of the I-TASSER server.
  • 2009/11/15: Molecular Dynamic simulations were implemented on I-TASSER models for removing steric clashes of side-chain atoms and for further refining rotamer conformations.
  • 2009/10/17: A timer was added to the Queue page to allow users track the implementation time of their targets. A number of other changes were made in the Queue page for improving the efficiency of retrieving I-TASSER output data.
  • 2009/10/15: A new interface Search was added to allow users to search targets and predictions through the I-TASSER database.
  • 2009/07/20: Added features to allow users to assign external restraints to guide the I-TASSER structural modeling. The user-specified information includes:
    • Residue-residue contact/distance information
    • Specific template structures and alignments
    More details can be found at How to Add Restraints to I-TASSER Modeling.
  • 2009/03/16: Structure-based function predictions were developed based on the global and local match of the predicted 3D models with the known homolog and analog proteins. The function predictions include ligand binding site, enzyme commission, and gene ontology.
  • 2009/01/10: Two new predictions were added in the output page:
    • Threading templates and the alignments which were identified by LOMETS and used by I-TASSER as initial input.
    • Structural homologs of I-TASSER which are identified by structural alignment program TM-align through the PDB library.

References:
    Yang Zhang. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics, vol 9, 40 (2008). (download the PDF file).
    Yang Zhang. Template-based modeling and free modeling by I-TASSER in CASP7. Proteins, Suppl vol 8, 108-117 (2007) (download the PDF file).
    Sitao Wu, Jeffrey Skolnick, Yang Zhang. Ab initio modeling of small proteins by iterative TASSER simulations. BMC Biology, vol 5, 17 (2007). (download the PDF file).
 


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