Evidence map›Paper›PMID 36644498›Full record

ArticleLiving journal of computational molecular science2021

Interpreting Hydrogen-Deuterium Exchange Experiments with Molecular Simulations: Tutorials and Applications of the HDXer Ensemble Reweighting Software [Article v1.0].

Paul Suhwan Lee, Richard T Bradshaw, Fabrizio Marinelli, Kyle Kihn, Ally Smith, Patrick L Wintrode, Daniel J Deredge, José D Faraldo-Gómez, Lucy R Forrest

Abstract read
In one paragraph

Article in Living journal of computational molecular science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Free energy landscape of the PI3Kα C-terminal activation.Computational and structural biotechnology journal · 2024
    Article
  7. Conformational dynamics underlying atypical chemokine receptor 3 activation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
  10. Article
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

9 authors.

Paul Suhwan LeeComputational Structural Biology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-2658-4641
Richard T BradshawComputational Structural Biology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-8652-4301
Fabrizio MarinelliTheoretical Molecular Biophysics Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-0044-6718
Kyle KihnDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, USA.ORCID 0000-0002-0502-1332
Ally SmithDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, USA.ORCID 0000-0003-4539-1714
Patrick L WintrodeDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, USA.ORCID 0000-0003-1866-9397
Daniel J DeredgeDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, USA.ORCID 0000-0002-6897-6523
José D Faraldo-GómezTheoretical Molecular Biophysics Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0001-7224-7676
Lucy R ForrestComputational Structural Biology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0003-1855-7985

Funding

Development and assessment of methods for studying membrane protein structure and functionZIANS003143 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI FORREST, LUCY · 2014 to 2025
$8.9M
Intramural NIH HHS ZIA NS003143
6 · The paper itself

Abstract

Hydrogen-deuterium exchange (HDX) is a comprehensive yet detailed probe of protein structure and dynamics and, coupled to mass spectrometry, has become a powerful tool for investigating an increasingly large array of systems. Computer simulations are often used to help rationalize experimental observations of exchange, but interpretations have frequently been limited to simple, subjective correlations between microscopic dynamical fluctuations and the observed macroscopic exchange behavior. With this in mind, we previously developed the HDX ensemble reweighting approach and associated software, HDXer, to aid the objective interpretation of HDX data using molecular simulations. HDXer has two main functions; first, to compute H-D exchange rates that describe each structure in a candidate ensemble of protein structures, for example from molecular simulations, and second, to objectively reweight the conformational populations present in a candidate ensemble to conform to experimental exchange data. In this article, we first describe the HDXer approach, theory, and implementation. We then guide users through a suite of tutorials that demonstrate the practical aspects of preparing experimental data, computing HDX levels from molecular simulations, and performing ensemble reweighting analyses. Finally we provide a practical discussion of the capabilities and limitations of the HDXer methods including recommendations for a user's own analyses. Overall, this article is intended to provide an up-to-date, pedagogical counterpart to the software, which is freely available at https://github.com/Lucy-Forrest-Lab/HDXer.

Identifiers

PMID36644498
PMCPMC9835200

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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.