Methodology article
A maximum likelihood framework for protein design
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* Corresponding author: Nicolas Lartillot nicolas.lartillot@lirmm.fr
1 Canadian Institute for Advanced Research, Département de Biochimie, Université de Montréal, Montréal, Québec, Canada
2 Laboratoire d'lnformatique, de Robotique et de Microélectronique de Montpellier, UMR 5506, CNRS-Université de Montpellier 2, 161, rue Ada, 34392 Montpellier Cedex 5, France
BMC Bioinformatics 2006, 7:326 doi:10.1186/1471-2105-7-326
Published: 29 June 2006Additional files
Additional file 1:
Extensive definition of accessibility classes
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Additional file 2:
Data set DS1 – List of PDB identifiers of proteins used
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Additional file 3:
Data set DS2 – List of PDB identifiers of proteins used
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Additional file 4:
Multiple sequence alignment for sequence logos of figure 5. Multiple sequence alignment (Clustal format) used to generate sequence logos of figure 5.
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Additional file 5:
Marginal and leave-one-out profiles of complete protein partially displayed in figure 5
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Additional file 6:
Empirical profiles of complete protein partially displayed in figure 5
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Additional file 7:
Marginal and leave-one-out profiles of 10 proteins used in the design specificity experiment
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Additional file 8:
Table 1: list of PDB identifiers of proteins used in the design specificity experiment, and scores obtained for each one of the proteins, using the combined (ε + α14ac + μ) potential
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