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The IntFOLD Integrated Protein Structure and Function Prediction Server (Version 5.0)

This simple form allows you to: predict tertiary structures, assess the quality of 3D models, detect disordered regions, predict the boundaries for structural domains and predict likely ligand binding site residues for a submitted amino acid sequence.

Further information, news and references will be posted on the IntFOLD home page. Please refer to the help page before submitting any data. Click 'Help' in each section for detailed instructions.

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

Optional - Short name for protein target Help

Optional - E-mail address Help





Please cite the following papers:


  • McGuffin, L.J., Adiyaman, R., Maghrabi, A.H.A., Shuid, A.N., Brackenridge, D.A., Nealon, J.O. & Philomina, L.S. (2019) IntFOLD: an integrated web resource for high performance protein structure and function prediction. Nucleic Acids Research, 47, W408-W413. DOI 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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