Research article
Predicting Bevirimat resistance of HIV-1 from genotype
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* Corresponding author: Dominik Heider dominik.heider@uni-due.de
1 Department of Bioinformatics, Center of Medical Biotechnology, University of Duisburg-Essen, Universitaetsstr. 2, 45117 Essen, Germany
2 Institute of Virology, University of Cologne, Fuerst-Pueckler-Str. 56, 50935 Cologne, Germany
BMC Bioinformatics 2010, 11:37 doi:10.1186/1471-2105-11-37
Published: 20 January 2010Additional files
Additional file 1:
Data set. The sequences used in this study.
Format: XLS Size: 160KB Download file
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Additional file 2:
MSA of the sequences with clustalw. Multiple sequence alignment of the sequences with clustalw [23].
Format: TXT Size: 6KB Download file
Additional file 3:
MSA of the sequences with t-coffee. Multiple sequence alignment of the sequences with t-coffee [24].
Format: TXT Size: 7KB Download file
Additional file 4:
Plots and rules. Variance plots and prediction rules.
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Additional file 5:
Cleavage site predictions. Predictions are made with HIVcleave [31].
Format: XLS Size: 136KB Download file
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Additional file 6:
Shifted cleavage site probabilities. Probable HIV-protease cleavage sites are shown in bold [31]. The value represents the probability of protease cleavage.
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Additional file 7:
Secondary structure predictions. Predictions are made with JPred [43].
Format: XLS Size: 309KB Download file
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