The Relative Expression Prediction Tool accepts the following input parameters: RBS Sequence, Coding Sequence, Temperature,
Gram Stain of Chassis, 16S rRNA Sequence. It subsequently provides the relative expression level in terms of the RBS
rate, represented on a logarithmic scale.
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On the other hand, the RBS Optimization Tool also receives the following inputs: RBS Sequence, Coding Sequence,
Target Relative Expression (expressed in terms of the RBS rate on a logarithmic scale), Temperature, Gram Stain of
Chassis, and 16S rRNA Sequence. This tool then furnishes the optimized RBS sequence along with its corresponding
predicted (logarithmically scaled) RBS rate.
Target Relative Expression, Temperature, Gram Stain of
Chassis, and 16S rRNA Sequence. This tool then furnishes the optimized RBS sequence along with its corresponding predicted (logarithmically scaled) relative expression level.
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We rigorously evaluated our tool by subjecting it to a comprehensive benchmarking exercise against cutting-edge rate
prediction tools, including the acclaimed RBS Calculator v2.1 by Salis et al., RBS Designer, UTR Designer, EMOPEC,
and others. This evaluation was conducted on a meticulously curated dataset comprising 16,779 mRNA sequences with
quantified expression levels, as assembled by Reis and Salis [1].
quantified expression levels, as assembled by Reis and Salis.
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The outcomes of our evaluation unequivocally establish that our tool has decisively surpassed the accuracy of the
foremost calculators worldwide, doing so by a substantial margin.
