Evidence map›Paper›PMID 23166485›Full record

ArticlePLoS computational biology2012

The dominant folding route minimizes backbone distortion in SH3.

Heiko Lammert, Jeffrey K Noel, José N Onuchic

Abstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. On Markov blankets and hierarchical self-organisation.Journal of theoretical biology · 2020
    Article
  2. Structure of the human monomeric NEET protein MiNT and its role in regulating iron and reactive oxygen species in cancer cells.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  3. Article
  4. Constructing sequence-dependent protein models using coevolutionary information.Protein science : a publication of the Protein Society · 2016
    Article
  5. Knowing one's place: a free-energy approach to pattern regulation.Journal of the Royal Society, Interface · 2015
    Article
  6. Article
  7. 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

3 authors.

Heiko LammertCenter for Theoretical Biological Physics and Department of Physics, Rice University, Houston, TX, USA.
Jeffrey K Noel
José N Onuchic

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Energetic frustration in protein folding is minimized by evolution to create a smooth and robust energy landscape. As a result the geometry of the native structure provides key constraints that shape protein folding mechanisms. Chain connectivity in particular has been identified as an essential component for realistic behavior of protein folding models. We study the quantitative balance of energetic and geometrical influences on the folding of SH3 in a structure-based model with minimal energetic frustration. A decomposition of the two-dimensional free energy landscape for the folding reaction into relevant energy and entropy contributions reveals that the entropy of the chain is not responsible for the folding mechanism. Instead the preferred folding route through the transition state arises from a cooperative energetic effect. Off-pathway structures are penalized by excess distortion in local backbone configurations and contact pair distances. This energy cost is a new ingredient in the malleable balance of interactions that controls the choice of routes during protein folding.

Indexed as

Models, Chemicalsrc Homology DomainsComputational BiologyEntropyModels, MolecularProtein FoldingProteinsProteins

Identifiers

PMID23166485
PMCPMC3499259

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.