LinX
LinX identifies and quantifies intermolecular cross-links from mass spectrometric datasets of chemical cross-linking experiments to analyze homodimer interaction interfaces.
Key Features:
- High Mass Accuracy: Leverages high mass accuracy for precise ion identification to distinguish complex molecular interactions.
- Homodimer Interaction Analysis: Facilitates elucidation of cross-linked peptides originating from homodimers labeled with 14N/15N, including determination of isotope ratios and identification within protein–nucleic acid complexes.
- Intermolecular Cross-link Identification and Quantification: Implements an algorithm tailored to identify and quantify intermolecular cross-links at homodimer interaction interfaces.
- Implementation: Implemented in Java for processing mass spectrometric datasets from chemical cross-linking experiments.
Scientific Applications:
- Structural Biology: Mapping protein–protein interaction interfaces of homodimers to inform structural models.
- Protein–Nucleic Acid Complex Analysis: Identifying cross-links within protein–nucleic acid complexes to support structural characterization.
- Quantitative Interaction Studies: Using 14N/15N isotopic ratios to quantify interaction stoichiometry relevant to studies of molecular mechanisms and therapeutic target investigation.
Methodology:
Processes mass spectrometric data to identify cross-linked peptides using an algorithm tailored for complex datasets, relying on high mass accuracy, isotopic labeling (14N/15N), and advanced ion identification techniques.
Topics
Details
- License:
- Not licensed
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- desktop application
- Operating Systems:
- Windows
- Programming Languages:
- Java
- Added:
- 8/12/2019
- Last Updated:
- 5/27/2021
Operations
Publications
Kukačka Z, Rosůlek M, Jelínek J, Slavata L, Kavan D, Novák P. LinX: A Software Tool for Uncommon Cross-Linking Chemistry. Journal of Proteome Research. 2021;20(4):2021-2027. doi:10.1021/acs.jproteome.0c00858. PMID:33657806.
PMID: 33657806
Funding: - Ministerstvo ?kolstv?, Ml?de?e a Telov?chovy: CZ.1.05/1.1.00/02.0109, LD15089, LH15010, LQ1604
- Grantov? Agentura Cesk? Republiky: 19-16084S
- European Cooperation in Science and Technology: BM1403
- H2020 Research Infrastructures: 731077
- Grantov? Agentura, Univerzita Karlova: L1110516, SVV 260451, VV 260588
Documentation
Downloads
- Downloads pageVersion: 1.1http://peterslab.org/downloads.php