Prediction of novel and analogous folds using fragment assembly and fold recognition

Jones, D.T., Bryson, K. , Coleman, A., McGuffin, L.J., Sadowski, M.I., Sodhi, J.S. and Ward, J.J. (2005) Prediction of novel and analogous folds using fragment assembly and fold recognition. Proteins: Structure Function and Bioinformatics, 61(S7), pp. 143-151. (doi: 10.1002/prot.20731) (PMID:16187356)

Abstract

A number of new and newly improved methods for predicting protein structure developed by the Jones–University College London group were used to make predictions for the CASP6 experiment. Structures were predicted with a combination of fold recognition methods (mGenTHREADER, nFOLD, and THREADER) and a substantially enhanced version of FRAGFOLD, our fragment assembly method. Attempts at automatic domain parsing were made using DomPred and DomSSEA, which are based on a secondary structure parsing algorithm and additionally for DomPred, a simple local sequence alignment scoring function. Disorder prediction was carried out using a new SVM-based version of DISOPRED. Attempts were also made at domain docking and “microdomain” folding in order to build complete chain models for some targets.

• Item Type: Articles
• Additional Information: Supplement: Sixth Meeting on the Critical Assessment of Techniques for Protein Structure Prediction.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Bryson, Dr Kevin
• Authors: Jones, D.T., Bryson, K., Coleman, A., McGuffin, L.J., Sadowski, M.I., Sodhi, J.S., and Ward, J.J.
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: Proteins: Structure Function and Bioinformatics
• Publisher: Wiley
• ISSN: 0887-3585
• ISSN (Online): 1097-0134

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