Modeling ribosome dynamics to optimize heterologous protein production
AssigneeNorth Carolina State University
InventorsScott Khoi Vu, Donald L. Bitzer
Life of this patent
Estimating the term…
Abstract
The presently disclosed subject matter provides a free-energy based model of translation elongation to predict and optimize heterologous gene expression. The model and software allow for the prediction and optimization of genes for increased or decreased protein yield and for increased or decreased protein aggregation.
Claims18
A method for predicting protein yield for translation of a gene, the method comprising:
- (a) determining ribosome wait time at each codon in a coding region of an mRNA encoding the protein, comprising determining a number of cycles at each codon, wherein the number of cycles is a function of tRNA abundance, ribosome displacement magnitude, and force from binding between the mRNA and a 3′ terminal rRNA tail of the ribosome;
- and
- (b) determining a total cycle count across codons throughout the coding region;
- wherein the total cycle count across codons throughout the coding region is correlated with protein yield.
A method for predicting protein yield for translation of a gene, the method comprising:
- (a) determining ribosome wait time at each codon in a coding region of an mRNA encoding the protein, comprising determining a number of cycles at each codon, wherein the number of cycles is a function of tRNA abundance, ribosome displacement magnitude, and force from binding between the mRNA and a 3′ terminal rRNA tail of the ribosome;
- (b) plotting a translation bottleneck plot, wherein the plot comprises values comprising a sum of cycles within a sliding window of size N codons;
- and
- (c) determining a maximum sum in the translation bottleneck plot;
- wherein the maximum sum in the translation bottleneck plot is correlated with protein yield.
(canceled)
A method for predicting protein aggregation, the method comprising:
- (a) determining ribosome wait time at each codon in a coding region of an mRNA encoding the protein, comprising determining a number of cycles at each codon, wherein the number of cycles is a function of tRNA abundance, ribosome displacement magnitude, and force from binding between the mRNA and a 3′ terminal rRNA tail of the ribosome;
- and
- (b) determining a total cycle count across codons throughout the coding region;
- wherein the total cycle count across codons throughout the coding region is correlated with protein aggregation.
(canceled)
(canceled)
Dependencies are inferred from the claim text.