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The ModFOLD Model Quality Assessment Server (Version 6.0)

NOTE: This version is no longer maintained. You are advised to use the latest version of ModFOLD, which is available here: ModFOLD home page

This form allows you to predict the quality of 3D models for a given protein target. Further information and references can be found on the ModFOLD home page. Before you submit a prediction please refer to the help page. Click 'Help' in each section for detailed instructions.

Required - Input sequence of protein target (single letter code) Help


Required - Upload model/models (either a single PDB file or a tarred and gzipped directory of PDB files) Help


Select global accuracy score optimisation preference Help
Ranking (the models with the highest global accuracy are ranked at the top)
Balanced (good correlations and top model ranking)
Correlation (the predicted accuracy scores correlate linearly with the observed accuracy scores)

Optional - E-mail address (you will be sent a link to graphical and machine readable results when the job is completed) Help


Optional - Short name for protein target Help



Please cite the following papers:


Maghrabi, A.H.A. & McGuffin, L.J. (2017) ModFOLD6: an accurate web server for the global and local quality estimation of 3D models of proteins, 45, W416-W421, Nucleic Acids Res. doi: 10.1093/nar/gkx332. PubMed

McGuffin, L.J., Shuid, A.M., Kempster, R., Maghrabi, A.H.A., Nealon J.O., Salehe, B.R., Atkins, J.D. & Roche, D.B. (2017) Accurate Template Based Modelling in CASP12 using the IntFOLD4-TS, ModFOLD6 and ReFOLD methods. Proteins: Structure, Function, and Bioinformatics, 86 Suppl 1, 335-344, doi: 10.1002/prot.25360. PubMed

Contact

Tel: 0118 378 6332

Email: l.j.mcguffin
@reading.ac.uk

 

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