Identification of cross-linked peptides from complex samples.

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

We have developed pLink, software for data analysis of cross-linked proteins coupled with mass-spectrometry analysis. pLink reliably estimates false discovery rate in cross-link identification and is compatible with multiple homo- or hetero-bifunctional cross-linkers. We validated the program with proteins of known structures, and we further tested it on protein complexes, crude immunoprecipitates and whole-cell lysates. We show that it is a robust tool for protein-structure and protein-protein-interaction studies.

Related collections

Author and article information

Journal

Journal ID (iso-abbrev): Nat Methods

Title: Nature methods

Publisher: Springer Science and Business Media LLC

ISSN (Electronic): 1548-7105

ISSN (Print): 1548-7091

Publication date (Electronic): Sep 2012

Volume: 9

Issue: 9

Affiliations

[1 ] College of Biological Sciences, China Agricultural University, Beijing, China.

Article

Publisher Item ID: nmeth.2099

DOI: 10.1038/nmeth.2099

PubMed ID: 22772728

SO-VID: 8db167fb-cead-430f-9471-e6ab1f6753de

History

Data availability:

Comments

Comment on this article

scite_

0

Smart Citations

0

Citing PublicationsSupportingMentioningContrasting

View Citations

See how this article has been cited at scite.ai

scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.