Mono- and Intralink Filter (Mi-Filter) To Reduce False Identifications in Cross-Linking Mass Spectrometry Data-Reference-Cited by-同舟云学术

Mono- and Intralink Filter (Mi-Filter) To Reduce False Identifications in Cross-Linking Mass Spectrometry Data

Published:2022-12-12 Issue:51 Volume:94 Page:17751-17756
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Chen Xingyu¹²,Sailer Carolin¹²,Kammer Kai Michael¹²,Fürsch Julius¹²,Eisele Markus R.³,Sakata Eri³⁴,Pellarin Riccardo⁵,Stengel Florian¹²^ORCID

Affiliation:

1. Department of Biology, University of Konstanz, Universitätsstrasse 10, Konstanz 78457, Germany

2. Konstanz Research School Chemical Biology, University of Konstanz, Universitätsstrasse 10, Konstanz 78457, Germany

3. Department of Molecular Structural Biology, Max Planck Institute of Biochemistry, Martinsried 82152, Germany

4. Institute for Auditory Neuroscience, University Medical Center Göttingen, Göttingen 37077, Germany

5. Structural Bioinformatics Unit, Department of Structural Biology and Chemistry, Institut Pasteur, CNRS UMR 3528, 28 rue du Docteur Roux, Paris 75015, France

Funder

Deutsche Forschungsgemeinschaft

Aligning Science Across Parkinson's

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.2c00494

Reference31 articles.

1. Structural Investigation of Proteins and Protein Complexes by Chemical Cross-Linking/Mass Spectrometry

2. Cross-Linking Mass Spectrometry: An Emerging Technology for Interactomics and Structural Biology

3. Crosslinking and Mass Spectrometry: An Integrated Technology to Understand the Structure and Function of Molecular Machines

4. Cross-linking mass spectrometry: methods and applications in structural, molecular and systems biology

5. Chemical cross-linking with mass spectrometry: a tool for systems structural biology

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