Evidence map›Paper›PMID 17428344›Full record

ArticleBMC bioinformatics2007

Flexible mapping of homology onto structure with homolmapper.

Nathan C Rockwell, J Clark Lagarias

Abstract read
In one paragraph

Article in BMC bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Elucidating the origins of phycocyanobilin biosynthesis and phycobiliproteins.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Structure of the GH76 α-mannanase homolog, BT2949, from the gut symbiont Bacteroides thetaiotaomicron.Acta crystallographica. Section D, Biological crystallography · 2015
    Article
  10. Hooking She3p onto She2p for myosin-mediated cytoplasmic mRNA transport.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  11. Article
  12. Article
  13. Structural and mechanistic insight into N-glycan processing by endo-α-mannosidase.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
  14. Diverse two-cysteine photocycles in phytochromes and cyanobacteriochromes.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  15. Article
  16. Article
  17. 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.

Nathan C RockwellSection of Molecular and Cellular Biology, University of California, Davis, California 95616, USA. ncrockwell@ucdavis.edu
J Clark Lagarias

Funding

MOLECULAR MECHANISMS OF PHYTOCHROME SIGNALINGR01GM068552 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI LAGARIAS, JOHN CLARK · 2003 to 2020
$5.3M
NIGMS NIH HHS GM068552NIGMS NIH HHS R01 GM068552
6 · The paper itself

Abstract

backgroundOver the past decade, a number of tools have emerged for the examination of homology relationships among protein sequences in a structural context. Most recent software implementations for such analysis are tied to specific molecular viewing programs, which can be problematic for collaborations involving multiple viewing environments. Incorporation into larger packages also adds complications for users interested in adding their own scoring schemes or in analyzing proteins incorporating unusual amino acid residues such as selenocysteine.

resultsWe describe homolmapper, a command-line application for mapping information from a multiple protein sequence alignment onto a protein structure for analysis in the viewing software of the user's choice. Homolmapper is small (under 250 K for the application itself) and is written in Python to ensure portability. It is released for non-commercial use under a modified University of California BSD license. Homolmapper permits facile import of additional scoring schemes and can incorporate arbitrary additional amino acids to allow handling of residues such as selenocysteine or pyrrolysine. Homolmapper also provides tools for defining and analyzing subfamilies relative to a larger alignment, for mutual information analysis, and for rapidly visualizing the locations of mutations and multi-residue motifs.

conclusionHomolmapper is a useful tool for analysis of homology relationships among proteins in a structural context. There is also extensive, example-driven documentation available. More information about homolmapper is available at http://www.mcb.ucdavis.edu/faculty-labs/lagarias/homolmapper_home/homolmapper%20web%20page.htm.

Indexed as

Sequence Homology, Amino AcidSoftwareUser-Computer InterfaceComputer GraphicsInformation Storage and RetrievalProteinsSequence AlignmentSequence Analysis, ProteinProteins

Identifiers

PMID17428344
PMCPMC1955750

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.