Evidence map›Paper›PMID 30744991›Full record

ArticleBiophysical journal2019

Cooperative Changes in Solvent Exposure Identify Cryptic Pockets, Switches, and Allosteric Coupling.

Justin R Porter, Katelyn E Moeder, Carrie A Sibbald, Maxwell I Zimmerman, Kathryn M Hart, Michael J Greenberg, Gregory R Bowman

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

38 citing papers in PubMed, 72 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Justin R PorterDepartment of Biochemistry & Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri.
Katelyn E MoederDepartment of Biochemistry & Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri.
Carrie A SibbaldDepartment of Biochemistry & Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri.
Maxwell I ZimmermanDepartment of Biochemistry & Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri.
Kathryn M HartDepartment of Chemistry, Williams College, Williamstown, Massachusetts.
Michael J GreenbergDepartment of Biochemistry & Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri.
Gregory R BowmanDepartment of Biochemistry & Molecular Biophysics, Washington University School of Medicine, St. Louis, Missouri; Department of Biomedical Engineering and Center for Biological Systems Engineering, Washington University in St. Louis, St. Louis, Missouri. Electronic address: g.bowman@wustl.edu.
Washington University in St. Louis · USWilliams College · US

Funding

Therapeutics Targeting Filoviral interferon-antagonist and replication functionsU19AI109664 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BASLER, CHRISTOPHER F · 2014 to 2018
$15.8M
Regulation of cardiac power output in health and diseaseR01HL141086 · NHLBI · WASHINGTON UNIVERSITY · PI GREENBERG, MICHAEL J · 2018 to 2022
$2.7M
MSMs, adaptive sampling, and data sharing on the cloudR01GM124007 · NIGMS · WASHINGTON UNIVERSITY · PI BOWMAN, GREGORY · 2017 to 2021
$2.0M
Physics-based precision medicine: computationally phenotyping myosin isoforms and cardiomyopathy mutationsF30HL146052 · NHLBI · WASHINGTON UNIVERSITY · PI PORTER, JUSTIN ROY · 2019 to 2021
$130k
NHLBI NIH HHS F30 HL146052NHLBI NIH HHS R01 HL141086NIAID NIH HHS U19 AI109664NIGMS NIH HHS R01 GM124007
6 · The paper itself

Abstract

Proteins are dynamic molecules that undergo conformational changes to a broad spectrum of different excited states. Unfortunately, the small populations of these states make it difficult to determine their structures or functional implications. Computer simulations are an increasingly powerful means to identify and characterize functionally relevant excited states. However, this advance has uncovered a further challenge: it can be extremely difficult to identify the most salient features of large simulation data sets. We reasoned that many functionally relevant conformational changes are likely to involve large, cooperative changes to the surfaces that are available to interact with potential binding partners. To examine this hypothesis, we introduce a method that returns a prioritized list of potentially functional conformational changes by segmenting protein structures into clusters of residues that undergo cooperative changes in their solvent exposure, along with the hierarchy of interactions between these groups. We term these groups exposons to distinguish them from other types of clusters that arise in this analysis and others. We demonstrate, using three different model systems, that this method identifies experimentally validated and functionally relevant conformational changes, including conformational switches, allosteric coupling, and cryptic pockets. Our results suggest that key functional sites are hubs in the network of exposons. As a further test of the predictive power of this approach, we apply it to discover cryptic allosteric sites in two different β-lactamase enzymes that are widespread sources of antibiotic resistance. Experimental tests confirm our predictions for both systems. Importantly, we provide the first evidence, to our knowledge, for a cryptic allosteric site in CTX-M-9 β-lactamase. Experimentally testing this prediction did not require any mutations and revealed that this site exerts the most potent allosteric control over activity of any pockets found in β-lactamases to date. Discovery of a similar pocket that was previously overlooked in the well-studied TEM-1 β-lactamase demonstrates the utility of exposons.

Indexed as

Allosteric SiteModels, Molecularbeta-LactamasesCyclic AMP Receptor ProteinEscherichia coli ProteinsProtein ConformationProteinsSolventsbeta-Lactamasesbeta-lactamase TEM-1crp protein, E coliCyclic AMP Receptor ProteinEscherichia coli ProteinsProteinsSolvents

Identifiers

PMID30744991
PMCPMC6400826
OpenAlexW2914282031

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.