Evidence map›Paper›PMID 19468326›Full record

ReviewInternational journal of molecular sciences2009

Folding by numbers: primary sequence statistics and their use in studying protein folding.

Brent Wathen, Zongchao Jia

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. A decade and a half of protein intrinsic disorder: biology still waits for physics.Protein science : a publication of the Protein Society · 2013
    Review
  3. Article
  4. 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

2 authors.

Brent WathenDepartment of Biochemistry, Queen's University, Kingston, Ontario, Canada K7L 3N6.
Zongchao JiaDepartment of Biochemistry, Queen's University, Kingston, Ontario, Canada K7L 3N6.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exponential growth over the past several decades in the quantity of both primary sequence data available and the number of protein structures determined has provided a wealth of information describing the relationship between protein primary sequence and tertiary structure. This growing repository of data has served as a prime source for statistical analysis, where underlying relationships between patterns of amino acids and protein structure can be uncovered. Here, we survey the main statistical approaches that have been used for identifying patterns within protein sequences, and discuss sequence pattern research as it relates to both secondary and tertiary protein structure. Limitations to statistical analyses are discussed, and a context for their role within the field of protein folding is given. We conclude by describing a novel statistical study of residue patterning in beta-strands, which finds that hydrophobic (i,i+2) pairing in beta-strands occurs more often than expected at locations near strand termini. Interpretations involving beta-sheet nucleation and growth are discussed.

Indexed as

Amino Acid SequenceHydrophobic and Hydrophilic InteractionsModels, MolecularProtein FoldingProteinsProtein Structure, TertiaryProteinsPrimary SequenceProtein FoldingSequence-Structure Relationship

Identifiers

PMID19468326
PMCPMC2680634

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.