2021
DOI: 10.1101/2021.08.18.456802
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

How synonymous mutations alter enzyme structure and function over long time scales

Abstract: The specific activity of enzymes can be altered over long time scales in cells by synonymous mutations, which change an mRNA molecule's sequence but not the encoded protein's primary structure. How this happens at the molecular level is unknown. Here, we resolve this issue by applying multiscale modeling to three E. coli enzymes - type III chloramphenicol acetyltransferase, D-alanine-D-alanine ligase B, and dihydrofolate reductase. This modeling involves coarse-grained simulations of protein synthesis and post… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

1
12
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
3
3

Relationship

5
1

Authors

Journals

citations
Cited by 11 publications
(13 citation statements)
references
References 63 publications
(107 reference statements)
1
12
0
Order By: Relevance
“…Relative to their time-scale of protein folding, these entangled states are not long-lived kinetic traps even at 310 K. Based on the previous coarse-grained simulation results, this is to be expected 1 , as ubiquitin and NTD are atypically small (the median protein length in yeast is 379 residues 15 ). In such very small proteins, entanglements compose a large proportion of the total protein structure present – and hence, it is easier to disentangle as most of the protein structure is misfolded and less stable.…”
mentioning
confidence: 77%
See 4 more Smart Citations
“…Relative to their time-scale of protein folding, these entangled states are not long-lived kinetic traps even at 310 K. Based on the previous coarse-grained simulation results, this is to be expected 1 , as ubiquitin and NTD are atypically small (the median protein length in yeast is 379 residues 15 ). In such very small proteins, entanglements compose a large proportion of the total protein structure present – and hence, it is easier to disentangle as most of the protein structure is misfolded and less stable.…”
mentioning
confidence: 77%
“…The misfolded states observed in the aforementioned simulations involved either the gain of a non-native entanglement (i.e., the formation of an entanglement that is not present in the native ensemble, Table S1) or the loss of a native entanglement (i.e., an entanglement present in the native state fails to form, Table S1) [1][2][3] . This newly predicted class of misfolding offers an explanation for the decades old observations that non-functional protein molecules can persist for long-time scales in the presence of chaperones and not rapidly aggregate nor be degraded [7][8][9] .…”
Section: Introductionmentioning
confidence: 99%
See 3 more Smart Citations