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FUpred is a contact map-based domain prediction method which utilizes a recursion strategy to detect domain boundary based on predicted contact-map and secondary structure information. Large scale benchmark analysis shows that FUpred has significantly better ability of domain boundary prediction than threading-based method and machine learning-based methods. Particularly, our method has obviously excellent performance in detecting discontinuous domain boundary than current methods. If you have questions and comments on FUpred, please post them at the Service System Discussion Board. ( >>more about FUpred ...)


[About FUpred]   [Example of Output]   [Download]   [Forum for Discussion]

From May. 10 to Jul. 30, 2020 (CASP14 season), the FUpred server will be closed to external users. Please use the standalone package during this period. Jobs already submitted will not be affected. We apologize for any inconvenience this may cause.

Cut and paste your sequence, in plain text or FASTA format. Example input

Or upload sequence from your computer:

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ID: (optional, name of the protein)



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References:
  • Wei Zheng, Xiaogen Zhou, Qiqige Wuyun, Robin Pearce, Yang Li and Yang Zhang. FUpred: Detecting protein domains through deep-learning based contact map prediction. in press, Bioinformatics (2020).

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