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RBS Library Calculator
Title


Pre-Sequence [?]
Pre-Sequence: enter a nucleotide sequence (5 to 20 bp) that appears before the ribosome binding site, using A/G/C/T/U. The Pre-Sequence is important when the ribosome binding site is less than 35 nucleotides long. (optional)
Protein Coding Sequence [?]
Protein Coding Sequence: enter a nucleotide sequence (at least 50 bp) that encodes a protein, using A/G/C/T/U. Begins with a start codon (ATG/GTG/TTG/CTG). (required)
 


Initial RBS Sequence with Optional Constraints [?]
Degenerate Ribosome Binding Site Sequence: enter a degenerate nucleotide sequence that defines a library of RBSs, using the 15 letter UIPAC degenerate nucleotide code: A/G/C/T/S/W/K/R/Y/M/D/B/H/V/N. S: G or C. W: A or T. K: G or T. R: A or G. Y: C or T. M: A or C. D: A, G, or T. B: C, G, or T. H: A, C, or T. V: A, C, or G. N: A, G, C, or T.
(optional)

Minimum Translation Initiation Rate [?]
RBS Library's Minimum Translation Initiation Rate: select the desired minimum rate of translation initiation within the optimized ribosome binding site library, on a proportional scale from 0.1 to 100,000 or more. This will determine the lowest protein expression level within the library. (required)
Maximum Translation Initiation Rate [?]
RBS Library's Maximum Translation Initiation Rate: select the desired maximum rate of translation initiation within the optimized ribosome binding site library, on a proportional scale from 0.1 to 100,000 or more. This will determine the highest protein expression level within the library. (required)


Target Library Size: 16     Low Res    
    High Res
Organism or (16S rRNA) [?]
Organism or 16S rRNA sequence: choose a bacterial species by typing in the first 3 letters of its name and selecting it from the list. Alternatively, you may enter the last 9 nucleotides of the 16S rRNA, using A/G/C/T/U. (required)
(start typing)


Design Jobs: 2 queued, 3 currently running
When using these results, please reference: Iman Farasat, Manish Kushwaha, Jason Collens, Michael Easterbrook, Matthew Guido, and Howard M. Salis, "Efficient search, mapping, and optimization of multi-protein genetic systems in diverse bacteria", Molecular Systems Biology, v10(6), 2014
Method online since January 10th, 2011.
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We gratefully acknowledge research funding from the Defense Advanced Research Projects Agency, the National Science Foundation, the Office of Naval Research, and an Amazon AWS Research Grant.
Computational resources are provided by the AWS Elastic Compute Cloud.