Evidence map›Paper›PMID 21281591›Full record

ArticleBiophysical journal2011

Molecular simulations of mutually exclusive folding in a two-domain protein switch.

Brandon M Mills, Lillian T Chong

Abstract read
In one paragraph

Article in Biophysical journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Brandon M MillsDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania.
Lillian T ChongDepartment of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: ltchong@pitt.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major challenge with testing designs of protein conformational switches is the need for experimental probes that can independently monitor their individual protein domains. One way to circumvent this issue is to use a molecular simulation approach in which each domain can be directly observed. Here we report what we believe to be the first molecular simulations of mutually exclusive folding in an engineered two-domain protein switch, providing a direct view of how folding of one protein drives unfolding of the other in a barnase-ubiquitin fusion protein. These simulations successfully capture the experimental effects of interdomain linker length and ligand binding on the extent of unfolding in the less stable domain. In addition, the effect of linker length on the potential for oligomerization, which eliminates switch activity, is in qualitative agreement with analytical ultracentrifugation experiments. We also perform what we believe to be the first study of protein unfolding via progressive localized compression. Finally, we are able to explore the kinetics of mutually exclusive folding by determining the effect of linker length on rates of unfolding and refolding of each protein domain. Our results demonstrate that molecular simulations can provide seemingly novel biological insights on the behavior of individual protein domains, thereby aiding in the rational design of bifunctional switches.

Indexed as

Molecular Dynamics SimulationProtein FoldingBacterial ProteinsKineticsProtein BindingProtein MultimerizationProtein RefoldingProteinsProtein StabilityProtein Structure, TertiaryRecombinant Fusion ProteinsReproducibility of ResultsRibonucleasesUbiquitinBacillus amyloliquefaciens ribonucleaseBacterial Proteinsbarstar protein, Bacillus amyloliquefaciensProteinsRecombinant Fusion ProteinsRibonucleasesUbiquitin

Identifiers

PMID21281591
PMCPMC3030150

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.