Evidence map›Paper›PMID 19327982›Full record

ReviewCurrent opinion in structural biology2009

Protein structure prediction: when is it useful?

Yang Zhang

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers.

0numbers the graph read from it
0cells of the map it votes in
124citing 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

124 citing papers in PubMed.

  1. Article
  2. Article
  3. Protein Structure Prediction Methods.Advances in experimental medicine and biology · 2026
    Review
  4. Article
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  6. Article
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  8. Article
  9. Review
  10. Article
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  14. Article
  15. Article
  16. PJAMIA open · 2021
    Article
  17. Article
  18. Article
  19. Review
  20. An enumerative algorithm for de novo design of proteins with diverse pocket structures.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article

64 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

1 author.

Yang ZhangCenter for Bioinformatics and Department of Molecular Biosciences, University of Kansas, 2030 Becker Drive, Lawrence, KS 66047, USA. yzhang@ku.edu

Funding

I-TASSER based atomic-level protein structure predictionR01GM083107 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2008 to 2019
$3.5M
NIGMS NIH HHS R01 GM 083107NIGMS NIH HHS R01 GM083107
6 · The paper itself

Abstract

Computationally predicted three-dimensional structure of protein molecules has demonstrated the usefulness in many areas of biomedicine, ranging from approximate family assignments to precise drug screening. For nearly 40 years, however, the accuracy of the predicted models has been dictated by the availability of close structural templates. Progress has recently been achieved in refining low-resolution models closer to the native ones; this has been made possible by combining knowledge-based information from multiple sources of structural templates as well as by improving the energy funnel of physics-based force fields. Unfortunately, there has been no essential progress in the development of techniques for detecting remotely homologous templates and for predicting novel protein structures.

Indexed as

Computer SimulationModels, MolecularProtein ConformationAlgorithmsComputational BiologyDatabases, ProteinHumansProteinsStructure-Activity RelationshipProteins

Identifiers

PMID19327982
PMCPMC2673339

What OpenQuestion holds

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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.