Prediction of novel and analogous folds using fragment assembly and fold recognitionJones, D. T., Bryson, K., Coleman, A., McGuffin, L. J. ORCID: https://orcid.org/0000-0003-4501-4767, 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. ISSN 1097-0134 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1002/prot.20731 Abstract/SummaryA 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.
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