ArticleProtein engineering, design & selection : PEDS2011
Mutational analysis of kinetic partitioning in protein folding and protein-DNA binding.
Article in Protein engineering, design & selection : PEDS, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Frustration in biomolecules.Quarterly reviews of biophysics · 2014Review
- The stress of protein misfolding: from single cells to multicellular organisms.Cold Spring Harbor perspectives in biology · 2011Review
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Kinetic partitioning between competing routes is present in many biological processes. Here, we propose a methodology to characterize kinetic partitioning through site-directed mutagenesis and apply it to parallel routes for unfolding of the TI I27 protein and for recognition of its target DNA by the human papillomavirus E2 protein. The balance between the two competing reaction routes can be quantified by the partitioning constant K(p). K(p) is easily modulated by point mutations, opening the way for the rational design of kinetic partitioning. Conserved wild-type residues strongly favor one of the two competing reactions, suggesting that in these systems there is an evolutionary pressure to shift partitioning towards a certain route. The mutations with the largest effects on partitioning cluster together in space, defining the protein regions most relevant for the modulation of partitioning. Such regions are neither fully coincident with nor strictly segregated from the regions that are important from each competing reaction. We dissected the mutational effects on partitioning into the contributions from each competing route using a new parameter called pi-value. The results suggest how the design of kinetic partitioning may be approached in each case.
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Registered trials
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