Evidence map›Paper›PMID 22709442›Full record

ArticleJournal of proteome research2012

Constrained de novo sequencing of conotoxins.

Swapnil Bhatia, Yong J Kil, Beatrix Ueberheide, Brian T Chait, Lemmuel Tayo, Lourdes Cruz, Bingwen Lu, John R Yates, Marshall Bern

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
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

15 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Origins, Technological Advancement, and Applications of Peptidomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  3. Article
  4. Alphabet Projection of Spectra.Journal of proteome research · 2019
    Article
  5. Automated Antibody De Novo Sequencing and Its Utility in Biopharmaceutical Discovery.Journal of the American Society for Mass Spectrometry · 2017
    Article
  6. Article
  7. Article
  8. Article
  9. Optimized deep-targeted proteotranscriptomic profiling reveals unexplored Conus toxin diversity and novel cysteine frameworks.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. 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

9 authors at 7 institutions in 2 countries.

Swapnil BhatiaPalo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, California 94304, United States.
Yong J Kil
Beatrix Ueberheide
Brian T Chait
Lemmuel Tayo
Lourdes Cruz
Bingwen Lu
John R Yates
Marshall Bern
Protein Metrics (United States) · USScripps Research Institute · USMapúa University · PHNYU Langone Health · USPalo Alto Research Center · USRockefeller University · USUniversity of the Philippines Diliman · PH

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
Algorithms and Software for Difficult Proteomics ProblemsR21GM085718 · NIGMS · PALO ALTO RESEARCH CENTER · PI BERN, MARSHALL WAYNE · 2008 to 2009
$750k
Algorithms and Software for Protein-Family De Novo SequencingR21GM094557 · NIGMS · PALO ALTO RESEARCH CENTER · PI BERN, MARSHALL WAYNE · 2010 to 2011
$557k
NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R21 GM085718NIGMS NIH HHS R21 GM085718-02SNIGMS NIH HHS R21 GM094557NIGMS NIH HHS R21GM094557
6 · The paper itself

Abstract

De novo peptide sequencing by mass spectrometry (MS) can determine the amino acid sequence of an unknown peptide without reference to a protein database. MS-based de novo sequencing assumes special importance in focused studies of families of biologically active peptides and proteins, such as hormones, toxins, and antibodies, for which amino acid sequences may be difficult to obtain through genomic methods. These protein families often exhibit sequence homology or characteristic amino acid content; yet, current de novo sequencing approaches do not take advantage of this prior knowledge and, hence, search an unnecessarily large space of possible sequences. Here, we describe an algorithm for de novo sequencing that incorporates sequence constraints into the core graph algorithm and thereby reduces the search space by many orders of magnitude. We demonstrate our algorithm in a study of cysteine-rich toxins from two cone snail species (Conus textile and Conus stercusmuscarum) and report 13 de novo and about 60 total toxins.

Indexed as

Sequence Analysis, ProteinAlgorithmsAmino Acid SequenceAmino Acid SubstitutionAnimalsConotoxinsConus SnailMolecular Sequence DataMutationTandem Mass SpectrometryConotoxins

Identifiers

PMID22709442
PMCPMC3412931
OpenAlexW1977817462

What OpenQuestion holds

Textmetadata
LicenceTDM
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.