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

Jones, 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 doi: 10.1002/prot.20731

Abstract/Summary

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	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/27423
Item Type	Article
Refereed	Yes
Divisions	Life Sciences > School of Biological Sciences > Biomedical Sciences No Reading authors. Back catalogue items
Publisher	Wiley
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