3D-Jury: a simple approach to improve protein structure predictions. Export

@article{bioinfo, abstract = {MOTIVATION: Consensus structure prediction methods (meta-predictors) have higher accuracy than individual structure prediction algorithms (their components). The goal for the development of the 3D-Jury system is to create a simple but powerful procedure for generating meta-predictions using variable sets of models obtained from diverse sources. The resulting protocol should help to improve the quality of structural annotations of novel proteins. Results: The 3D-Jury system generates meta-predictions from sets of models created using variable methods. It is not necessary to know prior characteristics of the methods. The system is able to utilize immediately new components (additional prediction providers). The accuracy of the system is comparable with other well-tuned prediction servers. The algorithm resembles methods of selecting models generated using ab initio folding simulations. It is simple and offers a portable solution to improve the accuracy of other protein structure prediction protocols. AVAILABILITY: The 3D-Jury system is available via the Structure Prediction Meta Server (http://BioInfo.PL/Meta/) to the academic community. SUPPLEMENTARY INFORMATION: 3D-Jury is coupled to the continuous online server evaluation program, LiveBench (http://BioInfo.PL/LiveBench/)}, address = {BioInfoBank Institute, Limanowskiego 24A, 60-744 Poznan, Poland.}, author = {Ginalski, K. and Elofsson, A. and Fischer, D. and Rychlewski, L.}, citeulike-article-id = {127079}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/bioinformatics/btg124}, citeulike-linkout-1 = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/19/8/1015}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/12761065}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=12761065}, day = {22}, doi = {10.1093/bioinformatics/btg124}, issn = {1367-4803}, journal = {Bioinformatics}, keywords = {comparative\_modeling}, month = {May}, number = {8}, pages = {1015--1018}, posted-at = {2009-04-30 22:52:56}, priority = {2}, title = {3D-Jury: a simple approach to improve protein structure predictions.}, url = {http://dx.doi.org/10.1093/bioinformatics/btg124}, volume = {19}, year = {2003} }

TY - JOUR ID - bioinfo L3 - citeulike-article-id:127079 N2 - MOTIVATION: Consensus structure prediction methods (meta-predictors) have higher accuracy than individual structure prediction algorithms (their components). The goal for the development of the 3D-Jury system is to create a simple but powerful procedure for generating meta-predictions using variable sets of models obtained from diverse sources. The resulting protocol should help to improve the quality of structural annotations of novel proteins. Results: The 3D-Jury system generates meta-predictions from sets of models created using variable methods. It is not necessary to know prior characteristics of the methods. The system is able to utilize immediately new components (additional prediction providers). The accuracy of the system is comparable with other well-tuned prediction servers. The algorithm resembles methods of selecting models generated using ab initio folding simulations. It is simple and offers a portable solution to improve the accuracy of other protein structure prediction protocols. AVAILABILITY: The 3D-Jury system is available via the Structure Prediction Meta Server (http://BioInfo.PL/Meta/) to the academic community. SUPPLEMENTARY INFORMATION: 3D-Jury is coupled to the continuous online server evaluation program, LiveBench (http://BioInfo.PL/LiveBench/) IS - 8 JF - Bioinformatics SN - 1367-4803 AD - BioInfoBank Institute, Limanowskiego 24A, 60-744 Poznan, Poland. EP - 1018 TI - 3D-Jury: a simple approach to improve protein structure predictions. VL - 19 SP - 1015 KW - comparative_modeling AU - Ginalski, K AU - Elofsson, A AU - Fischer, D AU - Rychlewski, L PY - 2003/05/22/ UR - http://dx.doi.org/10.1093/bioinformatics/btg124 ER -