Evidence map›Paper›PMID 30558884›Full record

ArticleBiophysical journal2019

Accurate Prediction of Amide Exchange in the Fast Limit Reveals Thrombin Allostery.

Phineus R L Markwick, Riley B Peacock, Elizabeth A Komives

Abstract 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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Interpretation of Hydrogen/Deuterium Exchange Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2024
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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.

Phineus R L MarkwickDepartment of Chemistry and Biochemistry, University of California, San Diego, San Diego, California.
Riley B PeacockDepartment of Chemistry and Biochemistry, University of California, San Diego, San Diego, California.
Elizabeth A KomivesDepartment of Chemistry and Biochemistry, University of California, San Diego, San Diego, California. Electronic address: ekomives@ucsd.edu.

Funding

MOLECULAR BIOPHYSICS TRAINING PROGRAMT32GM008326 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIVES, ELIZABETH A. · 1989 to 2020
$7.5M
Functional Dynamics of ThrombinR01HL127041 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIVES, ELIZABETH A. · 2016 to 2019
$1.4M
NHLBI NIH HHS R01 HL127041NIGMS NIH HHS T32 GM008326
6 · The paper itself

Abstract

Amide hydrogen/deuterium exchange mass spectrometry (HDXMS) of proteins has become extremely popular for identifying ligand-binding sites, protein-protein interactions, intrinsic disorder, and allosteric changes upon protein modification. Such phenomena are revealed when amide exchange is measured in the fast limit, that is, within a few minutes of exchange in deuterated buffer. The HDXMS data have a resolution of the length of peptides and are difficult to interpret because many different phenomena lead to changes in hydrogen/deuterium exchange. We present a quantitative analysis of accelerated molecular dynamics simulations that provides impressive agreement with peptide-length HDXMS data. Comparative analysis of thrombin and a single-point mutant reveals that the simulation analysis can distinguish the subtle differences in exchange due to mutation. In addition, the results provide a deeper understanding of the underlying changes in dynamics revealed by the HDXMS that extend far from the site of mutation.

Indexed as

Allosteric SiteAllosteric RegulationHumansHydrogen Deuterium Exchange-Mass SpectrometryMolecular Dynamics SimulationPoint MutationThrombinThrombin

Identifiers

PMID30558884
PMCPMC6342732

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.