Mateusz Krzysztof Łącki
Mateusz Krzysztof Łącki
Institute for Immunology, University Medical Center of Mainz
Verified email at - Homepage
Cited by
Cited by
Leaf and plant age affects photosynthetic performance and photoprotective capacity
LW Bielczynski, MK Łącki, I Hoefnagels, A Gambin, R Croce
Plant physiology 175 (4), 1634-1648, 2017
IsoSpec: Hyperfast fine structure calculator
MK Łacki, M Startek, D Valkenborg, A Gambin
Analytical chemistry 89 (6), 3272-3277, 2017
Conformational space and stability of ETD charge reduction products of ubiquitin
F Lermyte, MK Łącki, D Valkenborg, A Gambin, F Sobott
Journal of The American Society for Mass Spectrometry 28 (1), 69-76, 2016
State-dependent swap strategies and automatic reduction of number of temperatures in adaptive parallel tempering algorithm
MK Łącki, B Miasojedow
Statistics and Computing 26, 951-964, 2016
Understanding reaction pathways in top-down ETD by dissecting isotope distributions: A mammoth task
F Lermyte, MK Łącki, D Valkenborg, G Baggerman, A Gambin, F Sobott
International Journal of Mass Spectrometry 390, 146-154, 2015
Enhancing sensitivity of microflow-based bottom-up proteomics through postcolumn solvent addition
U Distler, MK Łącki, S Schumann, M Wanninger, S Tenzer
Analytical chemistry 91 (12), 7510-7515, 2019
OpenTIMS, TimsPY, and TimsR: open and easy access to timsTOF raw data
MK Łaški, MP Startek, S Brehmer, U Distler, S Tenzer
Journal of proteome research 20 (4), 2122-2129, 2021
midiaPASEF maximizes information content in data-independent acquisition proteomics
U Distler, MK Łącki, MP Startek, D Teschner, S Brehmer, J Decker, ...
BioRxiv, 2023.01. 30.526204, 2023
IsoSpec2: ultrafast fine structure calculator
MK Łącki, D Valkenborg, MP Startek
Analytical chemistry 92 (14), 9472-9475, 2020
masstodon: A Tool for Assigning Peaks and Modeling Electron Transfer Reactions in Top-Down Mass Spectrometry
MK Łacki, F Lermyte, B Miasojedow, MP Startek, F Sobott, D Valkenborg, ...
Analytical chemistry 91 (3), 1801-1807, 2019
Ionmob: a Python package for prediction of peptide collisional cross-section values
D Teschner, D Gomez-Zepeda, A Declercq, MK Łącki, S Avci, K Bob, ...
Bioinformatics 39 (9), btad486, 2023
Thunder-DDA-PASEF enables high-coverage immunopeptidomics and is boosted by MS2Rescore with MS2PIP timsTOF fragmentation prediction model
D Gomez-Zepeda, D Arnold-Schild, J Beyrle, A Declercq, R Gabriels, ...
Nature Communications 15 (1), 2288, 2024
Substrate profiling of the metalloproteinase ovastacin uncovers specific enzyme–substrate interactions and discloses fertilization‐relevant substrates
M Felten, U Distler, N von Wiegen, M Łącki, C Behl, S Tenzer, W St÷cker, ...
The FEBS journal 291 (1), 114-131, 2024
Modulation of cellular transcriptome and proteome composition by azidohomoalanine—implications on click chemistry–based secretome analysis
F Kirschner, D Arnold-Schild, C Leps, MK Łącki, M Klein, Y Chen, A Ludt, ...
Journal of Molecular Medicine 101 (7), 855-867, 2023
Estimation of Rates of Reactions Triggered by Electron Transfer in Top-Down Mass Spectrometry
MA Ciach, MK Łącki, B Miasojedow, F Lermyte, D Valkenborg, F Sobott, ...
Journal of Computational Biology 25 (3), 282-301, 2018
Assigning peaks and modeling etd in top-down mass spectrometry
MK Łącki, F Lermyte, B Miasojedow, M Olszański, M Startek, F Sobott, ...
arXiv preprint arXiv:1708.00234, 2017
Meet up-and-coming analytical scientists–Mateusz Krzysztof Łącki
MK Łącki
Analytical Science Advances 4 (1-2), 20-22, 2023
Substrate profiling of the metalloproteinase ovastacin–Implications for its physiological function in mammalian fertilization
M Felten, U Distler, N Wiegen, M Łącki, C Behl, S Tenzer, W St÷cker, ...
bioRxiv, 2022.12. 06.519252, 2022
Computational and Statistical Methods for Mass Spectrometry Data Analysis
M Łącki
Law of Localised Fine Structure with application in mass spectrometry
MK Łącki, A Gambin
arXiv preprint arXiv:1410.7378, 2014
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