Evidence map›Paper›PMID 27774625›Full record

ArticleJournal of computational chemistry2017

Optimal allosteric stabilization sites using contact stabilization analysis.

Alex Dickson, Christopher T Bailey, John Karanicolas

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Alex DicksonDepartment of Biochemistry & Molecular Biology and the Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, Michigan, 48824.
Christopher T BaileyDepartment of Biochemistry & Molecular Biology, Michigan State University, East Lansing, Michigan, 48824.
John KaranicolasDepartment of Molecular Biosciences and Center for Computational Biology, University of Kansas, Lawrence, Kansas, 66045.
Michigan State University · USUniversity of Kansas · US

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Dietmar J Kappes · 1985 to 2026
$138.8M
Identifying inhibitors of protein interactions using pocket optimizationR01GM099959 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI KARANICOLAS, JOHN · 2012 to 2016
$1.4M
NCI NIH HHS P30 CA006927NIGMS NIH HHS R01 GM099959
6 · The paper itself

Abstract

Proteins can be destabilized by a number of environmental factors such as temperature, pH, and mutation. The ability to subsequently restore function under these conditions by adding small molecule stabilizers, or by introducing disulfide bonds, would be a very powerful tool, but the physical principles that drive this stabilization are not well understood. The first problem lies is in choosing an appropriate binding site or disulfide bond location to best confer stability to the active site and restore function. Here, we present a general framework for predicting which allosteric binding sites correlate with stability in the active site. Using the Karanicolas-Brooks Gō-like model, we examine the dynamics of the enzyme β-glucuronidase using an Umbrella Sampling method to thoroughly sample the conformational landscape. Each intramolecular contact is assigned a score termed a "stabilization factor" that measures its correlation with structural changes in the active site. We have carried out this analysis for three different scaling strengths for the intramolecular contacts, and we examine how the calculated stabilization factors depend on the ensemble of destabilized conformations. We further examine a locally destabilized mutant of β-glucuronidase that has been characterized experimentally, and show that this brings about local changes in the stabilization factors. We find that the proximity to the active site is not sufficient to determine which contacts can confer active site stability. © 2016 Wiley Periodicals, Inc.

Indexed as

Molecular Dynamics SimulationAllosteric SiteBinding SitesCatalytic DomainEnzyme StabilityGlucuronidaseHumansProtein ConformationThermodynamicsGlucuronidaseallosterychemical rescuecoarse-grained modelmolecular dynamicsprotein re-activationprotein stabilization

Identifiers

PMID27774625
PMCPMC5403592
OpenAlexW2532796235

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.