Open Access
Open access
Bioinformatics, volume 19, issue 8, pages 1015-1018

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

Krzysztof Ginalski 1
1
 
BioInfoBank Institute, Limanowskiego 24A, 60-744 Poznan, Poland.
Publication typeJournal Article
Publication date2003-05-22
Journal: Bioinformatics
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor5.8
ISSN13674803, 13674811, 14602059
Biochemistry
Computer Science Applications
Molecular Biology
Statistics and Probability
Computational Mathematics
Computational Theory and Mathematics
Abstract
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.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.The 3D-Jury system is available via the Structure Prediction Meta Server (http://BioInfo.PL/Meta/) to the academic community.3D-Jury is coupled to the continuous online server evaluation program, LiveBench (http://BioInfo.PL/LiveBench/)

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GOST |
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GOST Copy
Ginalski K. 3D-Jury: a simple approach to improve protein structure predictions // Bioinformatics. 2003. Vol. 19. No. 8. pp. 1015-1018.
GOST all authors (up to 50) Copy
Ginalski K. 3D-Jury: a simple approach to improve protein structure predictions // Bioinformatics. 2003. Vol. 19. No. 8. pp. 1015-1018.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1093/bioinformatics/btg124
UR - https://doi.org/10.1093/bioinformatics/btg124
TI - 3D-Jury: a simple approach to improve protein structure predictions
T2 - Bioinformatics
AU - Ginalski, Krzysztof
PY - 2003
DA - 2003/05/22
PB - Oxford University Press
SP - 1015-1018
IS - 8
VL - 19
SN - 1367-4803
SN - 1367-4811
SN - 1460-2059
ER -
BibTex |
Cite this
BibTex Copy
@article{2003_Ginalski,
author = {Krzysztof Ginalski},
title = {3D-Jury: a simple approach to improve protein structure predictions},
journal = {Bioinformatics},
year = {2003},
volume = {19},
publisher = {Oxford University Press},
month = {may},
url = {https://doi.org/10.1093/bioinformatics/btg124},
number = {8},
pages = {1015--1018},
doi = {10.1093/bioinformatics/btg124}
}
MLA
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MLA Copy
Ginalski, Krzysztof. “3D-Jury: a simple approach to improve protein structure predictions.” Bioinformatics, vol. 19, no. 8, May. 2003, pp. 1015-1018. https://doi.org/10.1093/bioinformatics/btg124.
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