Literature DB >> 30137231

Increased sensitivity with automated validation of XL-MS cleavable peptide crosslinks.

Andrew Keller1, Juan D Chavez1, James E Bruce1.   

Abstract

MOTIVATION: Peptides crosslinked with cleavable chemical crosslinkers are identified with mass spectrometry by independent database search of spectra associated with the two linked peptides. A major challenge is to combine together the evidence of the two peptides into an overall assessment of the two-peptide crosslink.
RESULTS: Here, we describe software that models crosslink specific information to automatically validate XL-MS cleavable peptide crosslinks. Using a dataset of crosslinked protein mixtures, we demonstrate that it computes accurate and highly discriminating probabilities, enabling as many as 75% more identifications than was previously possible using only search scores and a predictable false discovery rate.
AVAILABILITY AND IMPLEMENTATION: XLinkProphet software is freely available on the web at http://brucelab.gs.washington.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Substances:

Year:  2019        PMID: 30137231      PMCID: PMC6394394          DOI: 10.1093/bioinformatics/bty720

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  11 in total

1.  Prediction of an Upper Limit for the Fraction of Interprotein Cross-Links in Large-Scale In Vivo Cross-Linking Studies.

Authors:  Andrew Keller; Juan D Chavez; Kevin C Felt; James E Bruce
Journal:  J Proteome Res       Date:  2019-07-17       Impact factor: 4.466

2.  Tools for 3D Interactome Visualization.

Authors:  Andrew Keller; Juan D Chavez; Jimmy K Eng; Zorian Thornton; James E Bruce
Journal:  J Proteome Res       Date:  2018-12-18       Impact factor: 4.466

3.  Systems structural biology measurements by in vivo cross-linking with mass spectrometry.

Authors:  Juan D Chavez; Jared P Mohr; Martin Mathay; Xuefei Zhong; Andrew Keller; James E Bruce
Journal:  Nat Protoc       Date:  2019-07-03       Impact factor: 13.491

4.  Improved Interpretation of Protein Conformational Differences and Ligand Occupancy in Large-Scale Cross-Link Data.

Authors:  Andrew Keller; Anna A Bakhtina; Juan D Chavez; James E Bruce
Journal:  J Proteome Res       Date:  2022-05-20       Impact factor: 5.370

5.  Leveraging the Entirety of the Protein Data Bank to Enable Improved Structure Prediction Based on Cross-Link Data.

Authors:  Andrew Keller; Juan D Chavez; Xiaoting Tang; James E Bruce
Journal:  J Proteome Res       Date:  2020-12-02       Impact factor: 4.466

Review 6.  In-Cell Labeling and Mass Spectrometry for Systems-Level Structural Biology.

Authors:  Juan D Chavez; Helisa H Wippel; Xiaoting Tang; Andrew Keller; James E Bruce
Journal:  Chem Rev       Date:  2021-07-07       Impact factor: 72.087

7.  Deciphering the architecture and interactome of hnRNP proteins and enigmRBPs.

Authors:  Helisa H Wippel; Mariana Fioramonte; Juan D Chavez; James E Bruce
Journal:  Mol Omics       Date:  2021-08-09

8.  Development of R7BP inhibitors through cross-linking coupled mass spectrometry and integrated modeling.

Authors:  Poorni R Adikaram; Jian-Hua Zhang; Claire M Kittock; Mritunjay Pandey; Sergio A Hassan; Nicole G Lue; Guanghui Wang; Marjan Gucek; William F Simonds
Journal:  Commun Biol       Date:  2019-09-13

9.  Cellular Interactome Dynamics during Paclitaxel Treatment.

Authors:  Juan D Chavez; Andrew Keller; Bo Zhou; Rong Tian; James E Bruce
Journal:  Cell Rep       Date:  2019-11-19       Impact factor: 9.423

10.  Accurate and Automated High-Coverage Identification of Chemically Cross-Linked Peptides with MaxLynx.

Authors:  Şule Yılmaz; Florian Busch; Nagarjuna Nagaraj; Jürgen Cox
Journal:  Anal Chem       Date:  2022-01-11       Impact factor: 6.986

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