Evidence map›Paper›PMID 18385384›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2008

Detecting evolutionary relationships across existing fold space, using sequence order-independent profile-profile alignments.

Lei Xie, Philip E Bourne

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2008. 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. Databases of ligand-binding pockets and protein-ligand interactions.Computational and structural biotechnology journal · 2024
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Databases and Tools to Investigate Protein-Metabolite Interactions.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  9. Estimating the Similarity between Protein Pockets.International journal of molecular sciences · 2022
    Review
  10. Exploring Ligand Binding Domain Dynamics in the NRs Superfamily.International journal of molecular sciences · 2022
    Article
  11. Article
  12. Structure-function analysis of the nsp14 N7-guanine methyltransferase reveals an essential role inProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Article
  14. Review
  15. Review
  16. Biomolecules · 2020
    Review
  17. AlphaSpace 2.0: Representing Concave Biomolecular Surfaces Using β-Clusters.Journal of chemical information and modeling · 2020
    Article
  18. Article
  19. Review
  20. 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

2 authors.

Lei XieSan Diego Supercomputer Center and Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California at San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA. lxie@sdsc.edu
Philip E Bourne

Funding

Tools &Data Resources in Support of Structural GenomicsP01GM063208 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BOURNE, PHILIP E · 2002 to 2006
$5.3M
Protein Functional Site Characterization and AnalysisR01GM078596 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BOURNE, PHILIP E · 2007 to 2010
$2.1M
NIGMS NIH HHS GM078596NIGMS NIH HHS GM63208NIGMS NIH HHS P01 GM063208NIGMS NIH HHS R01 GM078596
6 · The paper itself

Abstract

Here, a scalable, accurate, reliable, and robust protein functional site comparison algorithm is presented. The key components of the algorithm consist of a reduced representation of the protein structure and a sequence order-independent profile-profile alignment (SOIPPA). We show that SOIPPA is able to detect distant evolutionary relationships in cases where both a global sequence and structure relationship remains obscure. Results suggest evolutionary relationships across several previously evolutionary distinct protein structure superfamilies. SOIPPA, along with an increased coverage of protein fold space afforded by the structural genomics initiative, can be used to further test the notion that fold space is continuous rather than discrete.

Indexed as

AlgorithmsBiological EvolutionComputational BiologyModels, GeneticProtein FoldingProteinsProteins

Identifiers

PMID18385384
PMCPMC2291117

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.