Evidence map›Paper›PMID 18287281›Full record

ArticleProtein science : a publication of the Protein Society2008

Unfolding the fold of cyclic cysteine-rich peptides.

Amarda Shehu, Lydia E Kavraki, Cecilia Clementi

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. The chemistry and biology of theta defensins.Angewandte Chemie (International ed. in English) · 2014
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Amarda ShehuDepartment of Computer Science, Rice University, Houston, Texas 77005, USA.
Lydia E Kavraki
Cecilia Clementi

Funding

NANOBIOLOGY INSTITUTIONAL TRAINING GRANT(RMI)R90DK071504 · NIDDK · UNIVERSITY OF HOUSTON · PI PETTITT, BERNARD MONTGOMERY · 2004 to 2008
$1.3M
Dimensionality Reduction and Search for Analyzing Protein StructureR01GM078988 · NIGMS · RICE UNIVERSITY · PI KAVRAKI, LYDIA E. · 2006 to 2009
$718k
NIDDK NIH HHS 1 R90 DK71504-01NIDDK NIH HHS R90 DK071504NIGMS NIH HHS GM078988NIGMS NIH HHS R01 GM078988
6 · The paper itself

Abstract

We propose a method to extensively characterize the native state ensemble of cyclic cysteine-rich peptides. The method uses minimal information, namely, amino acid sequence and cyclization, as a topological feature that characterizes the native state. The method does not assume a specific disulfide bond pairing for cysteines and allows the possibility of unpaired cysteines. A detailed view of the conformational space relevant for the native state is obtained through a hierarchic multi-resolution exploration. A crucial feature of the exploration is a geometric approach that efficiently generates a large number of distinct cyclic conformations independently of one another. A spatial and energetic analysis of the generated conformations associates a free-energy landscape to the explored conformational space. Application to three long cyclic peptides of different folds shows that the conformational ensembles and cysteine arrangements associated with free energy minima are fully consistent with available experimental data. The results provide a detailed analysis of the native state features of cyclic peptides that can be further tested in experiment.

Indexed as

AnimalsComputational BiologyConotoxinsCyclotidesCysteineDefensinsMacaca mulattaModels, MolecularNuclear Magnetic Resonance, BiomolecularPeptides, CyclicProtein FoldingProtein Structure, SecondarySequence Analysis, ProteinConotoxinsCyclotidesCysteineDefensinsPeptides, Cyclic

Identifiers

PMID18287281
PMCPMC2248317

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.