Evidence map›Paper›PMID 25812159›Full record

ArticleJournal of proteome research2015

Kojak: efficient analysis of chemically cross-linked protein complexes.

Michael R Hoopmann, Alex Zelter, Richard S Johnson, Michael Riffle, Michael J MacCoss, Trisha N Davis, Robert L Moritz

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed
9.8field-weighted citation impact, top 1% 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

97 citing papers in PubMed, 200 citations in OpenAlex.

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  6. Activation mechanism of small heat shock protein HSPB5 revealed by disease-associated mutants.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  20. Disordered region encodes α-crystallin chaperone activity toward lens client γD-crystallin.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article

37 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

7 authors at 2 institutions in 1 country.

Michael R Hoopmann†Institute for Systems Biology, 401 Terry Avenue North, Seattle, Washington 98109, United States.
Alex Zelter‡Department of Biochemistry, University of Washington, 1705 North East Pacific Street, Seattle, Washington 98195, United States.
Richard S Johnson§Department of Genome Sciences, University of Washington, 3720 15th Avenue North East, Seattle, Washington 98195, United States.
Michael Riffle‡Department of Biochemistry, University of Washington, 1705 North East Pacific Street, Seattle, Washington 98195, United States.
Michael J MacCoss§Department of Genome Sciences, University of Washington, 3720 15th Avenue North East, Seattle, Washington 98195, United States.
Trisha N Davis‡Department of Biochemistry, University of Washington, 1705 North East Pacific Street, Seattle, Washington 98195, United States.
Robert L Moritz†Institute for Systems Biology, 401 Terry Avenue North, Seattle, Washington 98109, United States.
University of Washington · USInstitute for Systems Biology · US

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
FAIMS-Selected Reaction Monitoring to Quantitative Protein Networks in DiseaseS10RR027584 · NCRR · INSTITUTE FOR SYSTEMS BIOLOGY · PI MORITZ, ROBERT L · 2011 to 2011
$576k
NCRR NIH HHS S10 RR027584NCRR NIH HHS S10RR027584NIGMS NIH HHS 2P50 GM076547NIGMS NIH HHS GM087221NIGMS NIH HHS P41 GM103533NIGMS NIH HHS P50 GM076547NIGMS NIH HHS R01 GM087221
6 · The paper itself

Abstract

Protein chemical cross-linking and mass spectrometry enable the analysis of protein-protein interactions and protein topologies; however, complicated cross-linked peptide spectra require specialized algorithms to identify interacting sites. The Kojak cross-linking software application is a new, efficient approach to identify cross-linked peptides, enabling large-scale analysis of protein-protein interactions by chemical cross-linking techniques. The algorithm integrates spectral processing and scoring schemes adopted from traditional database search algorithms and can identify cross-linked peptides using many different chemical cross-linkers with or without heavy isotope labels. Kojak was used to analyze both novel and existing data sets and was compared to existing cross-linking algorithms. The algorithm provided increased cross-link identifications over existing algorithms and, equally importantly, the results in a fraction of computational time. The Kojak algorithm is open-source, cross-platform, and freely available. This software provides both existing and new cross-linking researchers alike an effective way to derive additional cross-link identifications from new or existing data sets. For new users, it provides a simple analytical resource resulting in more cross-link identifications than other methods.

Indexed as

AlgorithmsSoftwareAmino Acid SequenceCross-Linking ReagentsCryptochromesDatabases, ProteinF-Box ProteinsHumansMolecular Sequence DataProtein Interaction MappingProteomicsSchizosaccharomycesSchizosaccharomyces pombe ProteinsS-Phase Kinase-Associated ProteinsTandem Mass SpectrometryTime FactorsCross-Linking ReagentsCRY2 protein, humanCryptochromesF-Box ProteinsFBXL3 protein, humanSchizosaccharomyces pombe ProteinsSKP1 protein, humanS-Phase Kinase-Associated Proteinscross-linkingmass spectrometryprotein structureproteomics

Identifiers

PMID25812159
PMCPMC4428575
OpenAlexW2077917986

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.