Evidence map›Paper›PMID 21987485›Full record

ArticleProteins2011

RaptorX: exploiting structure information for protein alignment by statistical inference.

Jian Peng, Jinbo Xu

Abstract read
In one paragraph

Article in Proteins, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers.

0numbers the graph read from it
0cells of the map it votes in
155citing 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

155 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Croquemort-scavenger receptor class B 2 (Journal of biosciences · 2025
    Article
  5. Review
  6. Graph Neural Network-Based Approaches for Protein Function Prediction.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  7. Article
  8. Article
  9. AI-Driven Deep Learning Techniques in Protein Structure Prediction.International journal of molecular sciences · 2024
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Recent Progress of Protein Tertiary Structure Prediction.Molecules (Basel, Switzerland) · 2024
    Review
  15. Structural Analysis of Breast-Milk αInternational journal of molecular sciences · 2024
    Article
  16. Article
  17. Article
  18. Immunoinformatics Protocol to Design Multi-Epitope Subunit Vaccines.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  19. Article
  20. Article

95 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.

Jian PengToyota Technological Institute at Chicago, 6045 S. Kenwood Avenue, Chicago, IL 60637, USA.
Jinbo Xu

Funding

New Computational Methods for Data-driven Protein Structure PredictionR01GM089753 · NIGMS · TOYOTA TECHNOLOGICAL INSTITUTE / CHICAGO · PI XU, JINBO · 2010 to 2023
$3.8M
NIGMS NIH HHS R01 GM089753NIGMS NIH HHS R01GM089753
6 · The paper itself

Abstract

This work presents RaptorX, a statistical method for template-based protein modeling that improves alignment accuracy by exploiting structural information in a single or multiple templates. RaptorX consists of three major components: single-template threading, alignment quality prediction, and multiple-template threading. This work summarizes the methods used by RaptorX and presents its CASP9 result analysis, aiming to identify major bottlenecks with RaptorX and template-based modeling and hopefully directions for further study. Our results show that template structural information helps a lot with both single-template and multiple-template protein threading especially when closely-related templates are unavailable, and there is still large room for improvement in both alignment and template selection. The RaptorX web server is available at http://raptorx.uchicago.edu.

Indexed as

AlgorithmsBiometryProtein ConformationProteinsSequence AlignmentProteins

Identifiers

PMID21987485
PMCPMC3226909

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.