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The preferred translational start codon was ATG (959 genes, 75.5%), followed by TTG (177 genes, 13.9%) and GTG (134 genes, 10.6%), while CTG was not found in such position.
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Furthermore, non-human primates are often preferred for translational research due to close similarities to humans in behavior, anatomy, physiology, and genetics [ 2- 6].
In summary, heterologous PEDF expression is greatly improved by using codons that match those preferred by the host translational system without altering protein function.
A Kp/Ku ratio significantly less than 1 reflects accelerated unpreferred substitution and presumably new or intensified selection for reduced translation rate, whereas a Kp/Ku ratio significantly greater than 1 reflects selection for accelerated preferred substitution and presumably increased translational inefficiency.
Codons recognized by abundant tRNAs are thus likely to have a high translational efficiency and would be preferred in highly expressed genes, whereas those recognized by rare tRNAs would cause translational bottlenecks.
Apart from its originally designed use with collision-induced dissociation (CID) and higher-energy collisional dissociation (HCD), isobaric tagging technique could also work with electron-transfer dissociation (ETD), which provides complementarity to CID and is preferred in sequencing peptides with post-translational modifications (PTMs).
As we discuss in section 3.6, IDPs constitute preferred in vivo targets for post-translational modifications and these may, in turn, modulate aggregation.
Although cultured mammalian cells are preferred for producing functional mammalian proteins with appropriate post-translational modifications, purification of recombinant proteins is frequently hampered by low expression.
This is particularly noteworthy for group 2, whose preferred codons end primarily in A and T. Selection for translational accuracy should also be strongest in the most highly expressed group 0 but instead appeared to be independent of mRNA expression.
There are two unique predictions of the translational accuracy model: (1) synonymous codon usage at evolutionary conserved sites will be biased toward preferred codons, and (2) the degree of conservation will be stronger in highly expressed genes.
Most of the randomly chosen alternative sets of codons scored weaker associations than the actual sets of preferred codons, suggesting that codon position within plant genes and codon usage bias have coevolved to maximize translational accuracy.
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