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Protein Science
Article . 2022 . Peer-reviewed
License: Wiley Online Library User Agreement
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https://doi.org/10.1101/2022.0...
Article . 2022 . Peer-reviewed
Data sources: Crossref
Protein Science
Article . 2022
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Structural and functional determinants inferred from deep mutational scans

Authors: Priyanka Bajaj; Kavyashree Manjunath; Raghavan Varadarajan;

Structural and functional determinants inferred from deep mutational scans

Abstract

Abstract Mutations that affect protein binding to a cognate partner primarily occur either at buried residues or at exposed residues directly involved in partner binding. Distinguishing between these two categories based solely on mutational phenotypes is challenging. The bacterial toxin CcdB kills cells by binding to DNA Gyrase. Cell death is prevented by binding to its cognate antitoxin CcdA, at an extended interface that partially overlaps with the GyrA binding site. Using the CcdAB toxin–antitoxin (TA) system as a model, a comprehensive site‐saturation mutagenesis library of CcdB was generated in its native operonic context. The mutational sensitivity of each mutant was estimated by evaluating the relative abundance of each mutant in two strains, one resistant and the other sensitive to the toxic activity of the CcdB toxin, through deep sequencing. The ability to bind CcdA was inferred through a RelE reporter gene assay, since the CcdAB complex binds to its own promoter, repressing transcription. By analyzing mutant phenotypes in the CcdB‐sensitive, CcdB‐resistant, and RelE reporter strains, it was possible to assign residues to buried, CcdA interacting or GyrA interacting sites. A few mutants were individually constructed, expressed, and biophysically characterized to validate molecular mechanisms responsible for the observed phenotypes. Residues inferred to be important for antitoxin binding, are also likely to be important for rejuvenating CcdB from the CcdB–Gyrase complex. Therefore, even in the absence of structural information, when coupled to appropriate genetic screens, such high‐throughput strategies can be deployed for predicting structural and functional determinants of proteins.

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Keywords

Bacterial Proteins, DNA Gyrase, Mutation, Escherichia coli, Antitoxins

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%