Number of the records: 1

LinX 2.0

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, ORCID}
Year 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