Assembling novel protein folds from super-secondary structural fragments.
The results of applying a fragment-based protein tertiary structure prediction method to the prediction of 14 CASP5 target domains are described. The method is based on the assembly of supersecondary structural fragments taken from highly resolved protein structures using a simulated annealing algorithm. A number of good predictions for proteins with novel folds were produced, although not always as the first model. For two fold recognition targets, FRAGFOLD produced the most accurate model in both cases, despite the fact that the predictions were not based on a template structure. Although clear progress has been made in improving FRAGFOLD since CASP4, the ranking of final models still seems to be the main problem that needs to be addressed before the next CASP experiment.
Department of Computer Science, Bioinformatics Unit, University College London, London, United Kingdom. dtj@cs.ucl.ac.uk
David T
DT
Jones
Liam J
LJ
McGuffin
D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D008958:Models, Molecular; D017510:Protein Folding; D017433:Protein Structure, Secondary; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry*; D013816:Thermodynamics
D011506:Proteins