Evidence map›Paper›PMID 26100906›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Even with nonnative interactions, the updated folding transition states of the homologs Proteins G & L are extensive and similar.

Michael C Baxa, Wookyung Yu, Aashish N Adhikari, Liang Ge, Zhen Xia, Ruhong Zhou, Karl F Freed, Tobin R Sosnick

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. AlphaFold2bioRxiv : the preprint server for biology · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Cooperative folding near the downhill limit determined with amino acid resolution by hydrogen exchange.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  11. Microscopic interpretation of folding ϕ-values using the transition path ensemble.Proceedings of the National Academy of Sciences of the United States of America · 2016
    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

8 authors.

Michael C BaxaDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637; Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL 60637;
Wookyung YuDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637; Center for Proteome Biophysics, Department of Brain & Cognitive Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 711-873, Korea;
Aashish N AdhikariDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637; Department of Chemistry and The James Franck Institute, The University of Chicago, Chicago, IL 60637;
Liang GeDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637;
Zhen XiaComputational Biology Center, IBM Thomas J. Watson Research Center, Yorktown Heights, NY 10598; Institute of Quantitative Biology and Medicine, School of Radiation Medicine and Protection and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China;
Ruhong ZhouComputational Biology Center, IBM Thomas J. Watson Research Center, Yorktown Heights, NY 10598; Institute of Quantitative Biology and Medicine, School of Radiation Medicine and Protection and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China;
Karl F FreedDepartment of Chemistry and The James Franck Institute, The University of Chicago, Chicago, IL 60637; Computation Institute, The University of Chicago, Chicago, IL 60637 freed@uchicago.edu trsosnic@uchicago.edu.
Tobin R SosnickDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637; Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL 60637; Computation Institute, The University of Chicago, Chicago, IL 60637 freed@uchicago.edu trsosnic@uchicago.edu.

Funding

Kinetic studies of protein foldingR01GM055694 · NIGMS · UNIVERSITY OF CHICAGO · PI SOSNICK, TOBIN R · 2001 to 2022
$7.6M
FOLDING OF AN ALPHA-HELICAL COILED COILR29GM055694 · NIGMS · UNIVERSITY OF CHICAGO · PI SOSNICK, TOBIN R · 1996 to 2000
$107k
NIGMS NIH HHS GM055694NIGMS NIH HHS R01 GM055694NIGMS NIH HHS R29 GM055694
6 · The paper itself

Abstract

Experimental and computational folding studies of Proteins L & G and NuG2 typically find that sequence differences determine which of the two hairpins is formed in the transition state ensemble (TSE). However, our recent work on Protein L finds that its TSE contains both hairpins, compelling a reassessment of the influence of sequence on the folding behavior of the other two homologs. We characterize the TSEs for Protein G and NuG2b, a triple mutant of NuG2, using ψ analysis, a method for identifying contacts in the TSE. All three homologs are found to share a common and near-native TSE topology with interactions between all four strands. However, the helical content varies in the TSE, being largely absent in Proteins G & L but partially present in NuG2b. The variability likely arises from competing propensities for the formation of nonnative β turns in the naturally occurring proteins, as observed in our TerItFix folding algorithm. All-atom folding simulations of NuG2b recapitulate the observed TSEs with four strands for 5 of 27 transition paths [Lindorff-Larsen K, Piana S, Dror RO, Shaw DE (2011) Science 334(6055):517-520]. Our data support the view that homologous proteins have similar folding mechanisms, even when nonnative interactions are present in the transition state. These findings emphasize the ongoing challenge of accurately characterizing and predicting TSEs, even for relatively simple proteins.

Indexed as

Molecular Dynamics SimulationProtein FoldingProtein Structure, SecondaryAlgorithmsAmino Acid SequenceKineticsMolecular Sequence DataMutationProteinsThermodynamicsProteinsbi-histidineprotein foldingtransition state ensembleϕ analysisψ analysis

Identifiers

PMID26100906
PMCPMC4500205

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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.