Antibody-protein interactions: benchmark datasets and prediction tools evaluation
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* Corresponding author: Julia V Ponomarenko jpon@sdsc.edu
BMC Structural Biology 2007, 7:64 doi:10.1186/1472-6807-7-64
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BioMed Central: 9 citations
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Research article
Which clustering algorithm is better for predicting protein complexes? Charalampos N Moschopoulos, Georgios A Pavlopoulos, Ernesto Iacucci, Jan Aerts, Spiridon Likothanassis, Reinhard Schneider, Sophia Kossida BMC Research Notes 2011, 4:549 (20 December 2011) |
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Research article
Wen Zhang, Yi Xiong, Meng Zhao, Hua Zou, Xinghuo Ye, Juan Liu BMC Bioinformatics 2011, 12:341 (17 August 2011) |
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Review
Darren R Flower, Kanchan Phadwal, Isabel K Macdonald, Peter V Coveney, Matthew N Davies, Shunzhou Wan Immunome Research 2010, 6(Suppl 2):S4 (3 November 2010) |
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Review
Recent advances in B-cell epitope prediction methods Yasser EL-Manzalawy, Vasant Honavar Immunome Research 2010, 6(Suppl 2):S2 (3 November 2010) |
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Research
Mining for the antibody-antigen interacting associations that predict the B cell epitopes Liang Zhao, Jinyan Li BMC Structural Biology 2010, 10(Suppl 1):S6 (17 May 2010) |
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Research article
Prediction of antigenic epitopes on protein surfaces by consensus scoring Shide Liang, Dandan Zheng, Chi Zhang, Martin Zacharias BMC Bioinformatics 2009, 10:302 (22 September 2009) |
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Software
Epitopia: a web-server for predicting B-cell epitopes Nimrod D Rubinstein, Itay Mayrose, Eric Martz, Tal Pupko BMC Bioinformatics 2009, 10:287 (14 September 2009) |
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Software
Pep-3D-Search: a method for B-cell epitope prediction based on mimotope analysis Yan Huang, Yong Bao, Shu Guo, Yan Wang, Chun Zhou, Yu Li BMC Bioinformatics 2008, 9:538 (16 December 2008) |
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Software
ElliPro: a new structure-based tool for the prediction of antibody epitopes Julia Ponomarenko, Huynh-Hoa Bui, Wei Li, Nicholas Fusseder, Philip E Bourne, Alessandro Sette, Bjoern Peters BMC Bioinformatics 2008, 9:514 (2 December 2008) The ElliPro software predicts and visualizes B-cell epitopes by implementing Thorntons simple method that uses geometrical properties of protein structures, outperforming six other structure-based methods without needing any training.
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