Evidence map›Paper›PMID 19443452›Full record

ArticleNucleic acids research2009

INTREPID: a web server for prediction of functionally important residues by evolutionary analysis.

Sriram Sankararaman, Bryan Kolaczkowski, Kimmen Sjölander

Abstract read
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Prediction of distal residue participation in enzyme catalysis.Protein science : a publication of the Protein Society · 2015
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Sriram SankararamanDepartment of Computer Science, University of California, Berkeley, USA.
Bryan Kolaczkowski
Kimmen Sjölander

Funding

High-throughput phylogenomic analysis of animal proteinsR01HG002769 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI SJOLANDER, KIMMEN · 2003 to 2007
$1.8M
NHGRI NIH HHS HG002769
6 · The paper itself

Abstract

We present the INTREPID web server for predicting functionally important residues in proteins. INTREPID has been shown to boost the recall and precision of catalytic residue prediction over other sequence-based methods and can be used to identify other types of functional residues. The web server takes an input protein sequence, gathers homologs, constructs a multiple sequence alignment and phylogenetic tree and finally runs the INTREPID method to assign a score to each position. Residues predicted to be functionally important are displayed on homologous 3D structures (where available), highlighting spatial patterns of conservation at various significance thresholds. The INTREPID web server is available at http://phylogenomics.berkeley.edu/intrepid.

Indexed as

SoftwareAmino AcidsCatalytic DomainInternetModels, MolecularPhylogenyProtein ConformationProteinsSequence Analysis, ProteinSequence Homology, Amino AcidUser-Computer InterfaceAmino AcidsProteins

Identifiers

PMID19443452
PMCPMC2703888

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.