PolyCut: a computer programme for assignments of MSn signals of metallo-biomolecules by considering the entire isotope patterns
Abstract
A computer programme PolyCut has been written to assist mass spectrometry-based bioinorganic studies via top-down and bottom-up approaches in positive and negative ion modes. PolyCut is designed to cope with metalloproteins, metallo-polymers and biomolecules with heavy element(s) as one (or more) of the charging agents at defined but different oxidation states. It does automatic assignment by considering the entire experimental and simulated isotopic patterns of an ion rather than reading only the mono-isotopic and average m/z values (and/or mass values). The calculation of chemical formula and the simulation of isotopic pattern for an ion at various charge states require PolyCut to be informed of the user-defined elements, the user-defined abundance of isotopes for each element, the user-defined oxidation state of an element, the user-defined residues and sequence of a polymer, and the user-defined fragmentation (or digestion). The programme successfully assisted MSn studies of two copper proteins coordinated to platinum(II) centres (a functional group possessing an intrinsic positive charge rather than a neutral organic modification), published as J. Biol. Inorg. Chem. 2009, 14(2), 163-165; Metallomics 2013, 5(8), 946-954; and [more]. Besides polypeptides, polynucleotides and polysaccharides, PolyCut can be extended to other polymers using user-defined monomer residues. For the metallo-community.\n\nAbbreviations
02 /Specification & Classification
Click any tag to browse matching papers- Assay
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Native Electrospray-based Metabolomics Enables the Detection of Metal-binding Compounds
A. T. Aron, D. Petras, … P. C. Dorrestein·bioRxiv·Oct 30, 2019
- Differentiating specific and non-specific protein-metabolite interactions using gradient open port probe electrospray ionization mass spectrometry
Xiaobo Tian, Gérard Hopfgartner D·bioRxiv·Mar 7, 2024
- mebipred: identifying metal-binding potential in protein sequences.
Ariel Alejandro Aptekmann, Joy Buongiorno, … Yana Bromberg·BioinformaticsPeer-reviewed·May 27, 2022
- Accurate prediction of transition metal ion location via deep learning
S. L. Dürr, A. Levy, U. Rothlisberger·bioRxiv·Aug 22, 2022
- Standard Procedures for Native CZE-MS of Proteins and Protein Complexes up to 800 kDa
K. Jooss, J. P. McGee, … N. L. Kelleher·bioRxiv·Nov 2, 2020
- BioMetAll v2.0: Introducing Scores, Metal Discrimination, and Side-Chain Descriptors for Predicting Metal-Binding Sites in Proteins.
José‐Emilio Sánchez‐Aparicio, Raúl Fernández-Díaz, … Jean‐Didier Maréchal·bioRxiv·Jul 12, 2026