Evidence map›Paper›PMID 24803996›Full record

ArticleThe journal of physical chemistry letters2014

Signatures of the Protein Folding Pathway in Two-Dimensional Ultraviolet Spectroscopy.

Jun Jiang, Zaizhi Lai, Jin Wang, Shaul Mukamel

Abstract read
In one paragraph

Article in The journal of physical chemistry letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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  3. Review
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

4 authors.

Jun JiangDepartment of Chemical Physics, University of Science and Technology of China , No. 96, JinZhai Road Baohe District, Hefei 230026, China ; Chemistry Department, University of California Irvine , 433A Rowland Hall, Irvine, California 92697, United States.
Zaizhi LaiDepartment of Chemistry and Physics, University of New York at Stony Brook , Stony Brook, New York 11794, United States.
Jin WangDepartment of Chemistry and Physics, University of New York at Stony Brook , Stony Brook, New York 11794, United States ; State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences , No. 5625, Ren Min Street, Changchun, Jilin 130021, China.
Shaul MukamelChemistry Department, University of California Irvine , 433A Rowland Hall, Irvine, California 92697, United States.

Funding

Multidimensional Femtosecond Correlation Spectroscopic Probes of BiomoleculesR01GM059230 · NIGMS · UNIVERSITY OF ROCHESTER · PI MUKAMEL, SHAUL · 2001 to 2013
$3.2M
Developing 2D UV/vis spectroscopy tools to study biomolecular recognitionRC1GM091364 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI MUKAMEL, SHAUL, ROMESBERG, FLOYD E. · 2009 to 2010
$949k
NIGMS NIH HHS R01 GM059230NIGMS NIH HHS RC1 GM091364
6 · The paper itself

Abstract

The function of protein relies on their folding to assume the proper structure. Probing the structural variations during the folding process is crucial for understanding the underlying mechanism. We present a combined quantum mechanics/molecular dynamics simulation study that demonstrates how coherent resonant nonlinear ultraviolet spectra can be used to follow the fast folding dynamics of a mini-protein, Trp-cage. Two dimensional ultraviolet signals of the backbone transitions carry rich information of both local (secondary) and global (tertiary) structures. The complexity of signals decreases as the conformational entropy decreases in the course of the folding process. We show that the approximate entropy of the signals provides a quantitative marker of protein folding status, accessible by both theoretical calculations and experiments.

Identifiers

PMID24803996
PMCPMC3999791

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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.