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LinX 2.0
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SYSNO ASEP 0542407 Document Type L4 - Software R&D Document Type Software Title LinX 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, ORCIDYear of issue 2021 Int.Code 2.0 N14/N15 Technical parameters softwarový nástroj v jazyce java Economic parameters Vylepšený nástroj pro vyhodnocení CXMS dat izotopově značených proteinů N14/N15 Owner Name Mikrobiologický ústav AV ČR, v.v.i Registration Number of the result owner 61388971 License fee fee N - Poskytovatel licence nepožaduje licenční poplatek Language eng - English Country CZ - Czech Republic Keywords chemical cross-linking ; mass spectrometry ; proteins ; structural proteomics Subject RIV CE - Biochemistry OECD category Biochemistry and molecular biology Institutional support MBU-M - RVO:61388971 Annotation Chemical 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 https://github.com/KukackaZ/LinX. Data are accessible via the ProteomeXchange server with the dataset identifier PXD023522. Workplace Institute of Microbiology Contact Eliška Spurná, eliska.spurna@biomed.cas.cz, Tel.: 241 062 231 Year of Publishing 2022 Electronic address http://peterslab.org/downloads.php
Number of the records: 1