Number of the records: 1  

LinX 2.0

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    SYSNO ASEP0542407
    Document TypeL4 - Software
    R&D Document TypeSoftware
    TitleLinX 2.0
    Author(s) Kukačka, Zdeněk (MBU-M) RID, ORCID
    Rosůlek, Michal (MBU-M) ORCID
    Jelínek, Jan (MBU-M)
    Slavata, Lukáš (MBU-M)
    Kavan, Daniel (MBU-M) RID, ORCID
    Novák, Petr (MBU-M) RID, ORCID
    Year of issue2021
    Int.Code2.0 N14/N15
    Technical parameterssoftwarový nástroj v jazyce java
    Economic parametersVylepšený nástroj pro vyhodnocení CXMS dat izotopově značených proteinů N14/N15
    Owner NameMikrobiologický ústav AV ČR, v.v.i
    Registration Number of the result owner61388971
    License fee feeN - Poskytovatel licence nepožaduje licenční poplatek
    Languageeng - English
    CountryCZ - Czech Republic
    Keywordschemical cross-linking ; mass spectrometry ; proteins ; structural proteomics
    Subject RIVCE - Biochemistry
    OECD categoryBiochemistry and molecular biology
    Institutional supportMBU-M - RVO:61388971
    AnnotationChemical cross-linking mass spectrometry has become a popular tool in structural biology. Although several algorithms exist that analyze data-dependent mass spectrometric data efficiently, the algorithm to identify intermolecular cross-links located at the interaction interface of homodimer molecules was missing. The algorithm in LinX utilizes high mass accuracy for ion identification. In contrast to standard data-dependent analysis, LinX enables the elucidation of cross-linked peptides originating from the interaction interface of homodimers labeled by 14N/15N, including their ratio or cross-links from protein–nucleic acid complexes. The software is written in Java language, its source code and a detailed user’s guide are freely available at Data are accessible via the ProteomeXchange server with the dataset identifier PXD023522.
    WorkplaceInstitute of Microbiology
    ContactEliška Spurná,, Tel.: 241 062 231
    Year of Publishing2022
    Electronic address
Number of the records: 1