Evidence map›Paper›PMID 33779182›Full record

ArticleThe journal of physical chemistry. B2021

Quantitative Analysis of Protein Unfolded State Energetics: Experimental and Computational Studies Demonstrate That Non-Native Side-Chain Interactions Stabilize Local Native Backbone Structure.

Junjie Zou, Shifeng Xiao, Carlos Simmerling, Daniel P Raleigh

Abstract read
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Article in The journal of physical chemistry. B, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Junjie ZouDepartment of Chemistry, Stony Brook University, Stony Brook, New York 11794-3400, United States.
Shifeng XiaoShenzhen Key Laboratory of Marine Biotechnology and Ecology, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China.ORCID 0000-0002-4753-6756
Carlos SimmerlingDepartment of Chemistry, Stony Brook University, Stony Brook, New York 11794-3400, United States.ORCID 0000-0002-7252-4730
Daniel P RaleighDepartment of Chemistry, Stony Brook University, Stony Brook, New York 11794-3400, United States.ORCID 0000-0003-3248-7493

Funding

Biophysical Studies of Amyloid Formation by Polypeptide HormonesR01GM078114 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI RALEIGH, DANIEL P · 2008 to 2024
$5.1M
New Solvent Models, Sampling Methods and Maintenance of Amber SoftwareR01GM107104 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI SIMMERLING, CARLOS · 2013 to 2020
$2.4M
NIGMS NIH HHS R01 GM078114NIGMS NIH HHS R01 GM107104
6 · The paper itself

Abstract

Proteins fold on relatively smooth free energy landscapes which are biased toward the native state, but even simple topologies which fold rapidly can experience roughness on their free energy landscape. The details of these interactions are difficult to elucidate experimentally. Closely related to the problem of deciphering the details of the free energy landscape is the problem of defining the interactions in the denatured state ensemble (DSE) which is populated under native conditions, that is, under conditions where the native state is stable. The DSE of many proteins deviates from random coil models, but quantifying and defining the energetics of the transiently populated interactions in this ensemble is extremely challenging. Characterization of the DSE of proteins which fold to compact structures is also relevant to studies of intrinsically disordered proteins (IDPs) since interactions in the dynamic ensemble populated by IDPs can modulate their behavior. Here we show how experimental thermodynamic and p

Indexed as

Protein FoldingProteinsProtein ConformationProtein DenaturationThermodynamicsProteins

Identifiers

PMID33779182
PMCPMC8197028

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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.