Evidence map›Paper›PMID 24061924›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2014

A case study comparing quantitative stability-flexibility relationships across five metallo-β-lactamases highlighting differences within NDM-1.

Matthew C Brown, Deeptak Verma, Christian Russell, Donald J Jacobs, Dennis R Livesay

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 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

5 authors.

Matthew C BrownDepartment of Bioinformatics and Genomics, University of North Carolina, Charlotte, NC, USA.
Deeptak Verma
Christian Russell
Donald J Jacobs
Dennis R Livesay

Funding

Predicting protein flexibility and stabilityR01GM073082 · NIGMS · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI JACOBS, DONALD · 2006 to 2010
$1.6M
Elucidating beta-lactamase functional mechanisms via evolutionary conservationR15GM101570 · NIGMS · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI JACOBS, DONALD · 2013 to 2013
$323k
NIGMS NIH HHS R01 GM073082NIGMS NIH HHS R01GM073082NIGMS NIH HHS R15 GM101570
6 · The paper itself

Abstract

The Distance Constraint Model (DCM) is an ensemble-based biophysical model that integrates thermodynamic and mechanical viewpoints of protein structure. The DCM outputs a large number of structural characterizations that collectively allow for Quantified Stability-Flexibility Relationships (QSFR) to be identified and compared across protein families. Using five metallo-β-lactamases (MBLs) as a representative set, we demonstrate how QSFR properties are both conserved and varied across protein families. Similar to our characterizations on other protein families, the backbone flexibility of the five MBLs are overall visually conserved, yet there are interesting specific quantitative differences. For example, the plasmid-encoded NDM-1 enzyme, which leads to a fast spreading drug-resistant version of Klebsiella pneumoniae, has several regions of significantly increased rigidity relative to the other four. In addition, the set of intramolecular couplings within NDM-1 are also atypical. While long-range couplings frequently vary significantly across protein families, NDM-1 is distinct because it has limited correlated flexibility, which is isolated within the active site S3/S4 and S11/H6 loops. These loops are flexibly correlated in the other members, suggesting it is important to function, but the others also have significant amounts of correlated flexibility throughout the rest of their structures.

Indexed as

Quantitative Structure-Activity Relationshipbeta-LactamasesModels, MolecularProtein StabilityThermodynamicsbeta-lactamase NDM-1beta-Lactamases

Identifiers

PMID24061924
PMCPMC4676803

What OpenQuestion holds

Textmetadata
LicenceTDM
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.