Evidence map›Paper›PMID 31073392›Full record

ReviewComputational and structural biotechnology journal2019

Modeling Conformationally Flexible Proteins With X-ray Scattering and Molecular Simulations.

Kyle T Powers, Melissa S Gildenberg, M Todd Washington

Abstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2019. 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.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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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

3 authors.

Kyle T PowersDepartment of Biochemistry, University of Iowa College of Medicine, Iowa City, IA 52242-1109, United States of America.
Melissa S GildenbergDepartment of Biochemistry, University of Iowa College of Medicine, Iowa City, IA 52242-1109, United States of America.
M Todd WashingtonDepartment of Biochemistry, University of Iowa College of Medicine, Iowa City, IA 52242-1109, United States of America.

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007337 · NIGMS · UNIVERSITY OF IOWA · PI GEYER, PAMELA K., LENTZ, STEVEN R · 1985 to 2020
$15.9M
Time resolved SAXS studies on the RP2/Arl3 complex pp.484-485P41GM103622 · NIGMS · ILLINOIS INSTITUTE OF TECHNOLOGY · PI IRVING, THOMAS C · 2012 to 2020
$11.9M
Mechanisms of Damaged DNA Replication in EukaryotesR01GM081433 · NIGMS · UNIVERSITY OF IOWA · PI WASHINGTON, M. TODD · 2008 to 2021
$4.2M
Advanced Pixel Array Detector for Time-Resolved SAXS and Fiber DiffractionS10OD018090 · OD · ILLINOIS INSTITUTE OF TECHNOLOGY · PI IRVING, THOMAS C · 2014 to 2014
$529k
NIGMS NIH HHS P41 GM103622NIGMS NIH HHS R01 GM081433NIGMS NIH HHS T32 GM007337NIH HHS S10 OD018090
6 · The paper itself

Abstract

Proteins and protein complexes with high conformational flexibility participate in a wide range of biological processes. These processes include genome maintenance, gene expression, signal transduction, cell cycle regulation, and many others. Gaining a structural understanding of conformationally flexible proteins and protein complexes is arguably the greatest problem facing structural biologists today. Over the last decade, some progress has been made toward understanding the conformational flexibility of such systems using hybrid approaches. One particularly fruitful strategy has been the combination of small-angle X-ray scattering (SAXS) and molecular simulations. In this article, we provide a brief overview of SAXS and molecular simulations and then discuss two general approaches for combining SAXS data and molecular simulations: minimal ensemble approaches and full ensemble approaches. In minimal ensemble approaches, one selects a minimal ensemble of structures from the simulations that best fit the SAXS data. In full ensemble approaches, one validates a full ensemble of structures from the simulations using SAXS data. We argue that full ensemble models are more realistic than minimal ensemble searches models and that full ensemble approaches should be used wherever possible.

Indexed as

BD, Brownian dynamicsCG, coarse-grainedCryo-EM, cryo-electron microscopyDmax, maximal distanceDNA polymeraseDNA replicationLD, Langevin dynamicsMD, molecular dynamicsMinimal ensemble searchNMR, nuclear magnetic resonancePCNA, proliferating cell nuclear antigenPol η, DNA polymerase etaProtein structureRg, radius of gyrationRPA, replication protein ASANSSANS, small-angle neutron scatteringSAXSSAXS, small-angle X-ray scatteringSEC, size exclusion chromatographySUMO, small ubiquitin-like modifie

Identifiers

PMID31073392
PMCPMC6495069

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.