Evidence map›Paper›PMID 28405591›Full record

ArticleStructural dynamics (Melville, N.Y.)2017

SVD-aided pseudo principal-component analysis: A new method to speed up and improve determination of the optimum kinetic model from time-resolved data.

Key Young Oang, Cheolhee Yang, Srinivasan Muniyappan, Jeongho Kim, Hyotcherl Ihee

Abstract read
In one paragraph

Article in Structural dynamics (Melville, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Protein folding from heterogeneous unfolded state revealed by time-resolved X-ray solution scattering.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  5. Article
  6. Review
  7. Insulin hexamer dissociation dynamics revealed by photoinduced T-jumps and time-resolved X-ray solution scattering.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2018
    Article
  8. Article
  9. 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

5 authors.

Key Young Oang
Cheolhee Yang
Srinivasan Muniyappan
Jeongho KimDepartment of Chemistry, Inha University , Incheon 22212, South Korea.
Hyotcherl Ihee

Funding

BioCARS: A Synchrotron Structure Biology ResourceR24GM111072 · NIGMS · UNIVERSITY OF CHICAGO · PI MOFFAT, JOHN KEITH · 2013 to 2016
$2.3M
NIGMS NIH HHS R24 GM111072
6 · The paper itself

Abstract

Determination of the optimum kinetic model is an essential prerequisite for characterizing dynamics and mechanism of a reaction. Here, we propose a simple method, termed as singular value decomposition-aided pseudo principal-component analysis (SAPPA), to facilitate determination of the optimum kinetic model from time-resolved data by bypassing any need to examine candidate kinetic models. We demonstrate the wide applicability of SAPPA by examining three different sets of experimental time-resolved data and show that SAPPA can efficiently determine the optimum kinetic model. In addition, the results of SAPPA for both time-resolved X-ray solution scattering (TRXSS) and transient absorption (TA) data of the same protein reveal that global structural changes of protein, which is probed by TRXSS, may occur more slowly than local structural changes around the chromophore, which is probed by TA spectroscopy.

Identifiers

PMID28405591
PMCPMC5382018

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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.