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ResQ is a method for estimating B-factor and residue-level quality in protein structure prediction, based on local variations of modelling simulations and the uncertainty of homologous alignments. Given a protein structure model, ResQ first identifies a set of homologous and/or analogous templates from the PDB by threading and structure alignment techniques. The residue-level modeling errors are then derived by support vector regression that was trained on the local structural and alignment variations of the templates, with the B-factor of each residue deduced from the experimental records of the top homologous proteins. Users are encouraged to upload the structural decoys associated with the structure model, which can help ResQ to increase the accuracy of location quality estimation by calculating the local structural variations between the model and the reference decoys.

For a given target structure, the output of ResQ includes (see an illustrative example):

  • Estimation of residue-specific error
  • Prediction of B-factor for each residue
  • Estimation of the global accuracy (i.e., TM-score and RMSD)

The source code of ResQ can be downloaded at the download page.

[Download] [Library] [Forum] [Example]

Input one structure model (Mandatory, in PDB format)
Copy and paste your structure model below. Click here for an example input

Or upload the stucture model file:


Input structure decoys related to the above model (Optional, acceptable tarball includes *.tar.bz2, *.tar.gz, *.tar, *.gz, or *.zip format)
Upload a tarball of decoys in PDB format. Click here to download a sample decoy set for the above example model


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


ID: (Optional, your given name to this protein)


References:
  • Jianyi Yang, Yan Wang and Yang Zhang. ResQ: An approach to unified estimation of B-factor and residue-specific error in protein structure prediction, Journal of Molecular Biology, 428: 693-701 (2016). [PDF] [support information]

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