Evidence map›Paper›PMID 18469178›Full record

ArticleProtein science : a publication of the Protein Society2008

Ab initio folding of terminal segments with secondary structures reveals the fine difference between two closely related all-atom statistical energy functions.

Yuedong Yang, Yaoqi Zhou

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

65 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. DE-STRESS: a user-friendly web application for the evaluation of protein designs.Protein engineering, design & selection : PEDS · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. An information gain-based approach for evaluating protein structure models.Computational and structural biotechnology journal · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Methods for the Refinement of Protein Structure 3D Models.International journal of molecular sciences · 2019
    Review
  18. Self-derived structure-disrupting peptides targeting methionine aminopeptidase in pathogenic bacteria: a new strategy to generate antimicrobial peptides.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

2 authors.

Yuedong YangIndiana University School of Informatics, Indiana University-Purdue University, Indianapolis, Indiana 46202, USA.
Yaoqi Zhou

Funding

Development &Applications of Knowledge-based PotentialsR01GM068530 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI ZHOU, YAOQI · 2003 to 2006
$928k
NIGMS NIH HHS R01 GM 068530NIGMS NIH HHS R01 GM068530NIGMS NIH HHS R01 GM 966049
6 · The paper itself

Abstract

One of the common methods for assessing energy functions of proteins is selection of native or near-native structures from decoys. This is an efficient but indirect test of the energy functions because decoy structures are typically generated either by sampling procedures or by a separate energy function. As a result, these decoys may not contain the global minimum structure that reflects the true folding accuracy of the energy functions. This paper proposes to assess energy functions by ab initio refolding of fully unfolded terminal segments with secondary structures while keeping the rest of the proteins fixed in their native conformations. Global energy minimization of these short unfolded segments, a challenging yet tractable problem, is a direct test of the energy functions. As an illustrative example, refolding terminal segments is employed to assess two closely related all-atom statistical energy functions, DFIRE (distance-scaled, finite, ideal-gas reference state) and DOPE (discrete optimized protein energy). We found that a simple sequence-position dependence contained in the DOPE energy function leads to an intrinsic bias toward the formation of helical structures. Meanwhile, a finer statistical treatment of short-range interactions yields a significant improvement in the accuracy of segment refolding by DFIRE. The updated DFIRE energy function yields success rates of 100% and 67%, respectively, for its ability to sample and fold fully unfolded terminal segments of 15 proteins to within 3.5 A global root-mean-squared distance from the corresponding native structures. The updated DFIRE energy function is available as DFIRE 2.0 upon request.

Indexed as

Models, MolecularProteinsProtein Structure, SecondaryProteins

Identifiers

PMID18469178
PMCPMC2442011

What OpenQuestion holds

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Registered trials

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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.