Evidence map›Paper›PMID 12632698›Full record

ReviewMolecular biotechnology2003

Bioinformatics methods to predict protein structure and function. A practical approach.

Yvonne J K Edwards, Amanda Cottage

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biotechnology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
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. Structural Analysis of theBiomolecules · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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.

Yvonne J K EdwardsResearch Division, UK Human Genome Mapping Project Resource Center, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10, 1SB, England, UK. yjedward@hgmp.mrc.ac.uk
Amanda Cottage

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein structure prediction by using bioinformatics can involve sequence similarity searches, multiple sequence alignments, identification and characterization of domains, secondary structure prediction, solvent accessibility prediction, automatic protein fold recognition, constructing three-dimensional models to atomic detail, and model validation. Not all protein structure prediction projects involve the use of all these techniques. A central part of a typical protein structure prediction is the identification of a suitable structural target from which to extrapolate three-dimensional information for a query sequence. The way in which this is done defines three types of projects. The first involves the use of standard and well-understood techniques. If a structural template remains elusive, a second approach using nontrivial methods is required. If a target fold cannot be reliably identified because inconsistent results have been obtained from nontrivial data analyses, the project falls into the third type of project and will be virtually impossible to complete with any degree of reliability. In this article, a set of protocols to predict protein structure from sequence is presented and distinctions among the three types of project are given. These methods, if used appropriately, can provide valuable indicators of protein structure and function.

Indexed as

Models, MolecularAlgorithmsAmino Acid SequenceDatabase Management SystemsDatabases, ProteinFish ProteinsInformation Storage and RetrievalMolecular Sequence DataProtein ConformationProtein FoldingProteinsProtein Structure, TertiaryReceptors, Cell SurfaceSequence AlignmentSequence Analysis, ProteinStructure-Activity RelationshipFish ProteinsPRGFR protein, Fugu rubripesProteinsReceptors, Cell Surface

Identifiers

PMID12632698

What OpenQuestion holds

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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.