BMC Biotechnology

official impact factor 2.86

Open Access Highly Access Research article

Engineering proteinase K using machine learning and synthetic genes

Jun Liao1, Manfred K Warmuth1, Sridhar Govindarajan2, Jon E Ness2, Rebecca P Wang2, Claes Gustafsson2 and Jeremy Minshull2*

Author Affiliations

1 Department of Computer Science, University of California, Santa Cruz, CA 95064 USA

2 DNA 2.0, 1430 O'Brien Drive, Suite E, Menlo Park, CA 94025, USA

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BMC Biotechnology 2007, 7:16 doi:10.1186/1472-6750-7-16

Published: 26 March 2007

Additional files

Additional File 1:

Supporting Material. Contains DNA and amino acid sequence of proteinase K, legends for structure figures (additional files 3, 4 and 5) and details of machine learning methods.

Format: DOC Size: 86KB Download file

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Additional File 2:

Table 2. Contains sequence and activity information for all variants tested in this study.

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Additional File 3:

Supporting Material Figure 2. Positions of amino acid substitutions mapped onto the structure of proteinase K. The image should be opened using Swiss Protein Data Bank Viewer [64].

Format: PDB Size: 149KB Download file

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Additional File 4:

Supporting Material Figure 3. Positions of amino acid substitutions mapped onto the structure of proteinase K.

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Additional File 5:

Supporting Material Figure 4. Positions of amino acid substitutions mapped onto the structure of proteinase K.

Format: PPT Size: 143KB Download file

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