G.B. and I.O. conceived and supervised the project and revised the manuscript. G.B. provided supervision to J.N. and I.O. I.O. developed the datasets, chose features, and calculated feature values. J.N. and I.O. designed the neural network architecture. I.O. trained XANNpred-PDB and XANNpred-SG with the help of scripts developed by J.N. I.O produced the webserver, the analysis of algorithms performance, and the first draft of the manuscript. I.O. developed the XANNpred sliding window system. All authors read and approved the final manuscript.
XANNpred: Neural nets that predict the propensity of a protein to yield diffraction-quality crystals
Article first published online: 18 JAN 2011
Copyright © 2010 Wiley-Liss, Inc.
Proteins: Structure, Function, and Bioinformatics
Volume 79, Issue 4, pages 1027–1033, April 2011
How to Cite
Overton, I. M., van Niekerk, C. A. J. and Barton, G. J. (2011), XANNpred: Neural nets that predict the propensity of a protein to yield diffraction-quality crystals. Proteins, 79: 1027–1033. doi: 10.1002/prot.22914
- Issue published online: 8 MAR 2011
- Article first published online: 18 JAN 2011
- Accepted manuscript online: 19 OCT 2010 03:01PM EST
- Manuscript Accepted: 7 OCT 2010
- Manuscript Revised: 22 SEP 2010
- Manuscript Received: 28 JUL 2010
- UK Biotechnology and Biological Sciences Research Council (BBSRC) Structural Proteomics of Rational Targets initiative. Grant Number: BBS/B/14434
- Wellcome Trust. Grant Number: WT083481
- Royal Society of Edinburgh Scottish Government Fellowship co-funded by Marie Curie Actions
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