Search Results - "Walczak, Michal J"

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  1. 1

    NMRNet: a deep learning approach to automated peak picking of protein NMR spectra by Klukowski, Piotr, Augoff, Michał, Zięba, Maciej, Drwal, Maciej, Gonczarek, Adam, Walczak, Michał J

    Published in Bioinformatics (01-08-2018)
    “…Abstract Motivation Automated selection of signals in protein NMR spectra, known as peak picking, has been studied for over 20 years, nevertheless existing…”
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    Journal Article
  2. 2

    Interaction prediction in structure-based virtual screening using deep learning by Gonczarek, Adam, Tomczak, Jakub M., Zaręba, Szymon, Kaczmar, Joanna, Dąbrowski, Piotr, Walczak, Michał J.

    Published in Computers in biology and medicine (01-09-2018)
    “…We introduce a deep learning architecture for structure-based virtual screening that generates fixed-sized fingerprints of proteins and small molecules by…”
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    Journal Article
  3. 3

    Comparative analysis of biophysical methods for monitoring protein proximity induction in the development of small molecule degraders by Przytulski, Kamil, Glaza, Przemyslaw, Brach, Katarzyna, Sagan, Maria, Statkiewicz, Grzegorz, Klajn, Jan, Walczak, Michal J.

    “…Targeted protein degradation relies on inducing proximity between an E3 ubiquitin ligase and a target protein, and subsequent proteasomal degradation of the…”
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    Journal Article
  4. 4

    Computer vision-based automated peak picking applied to protein NMR spectra by Klukowski, Piotr, Walczak, Michal J, Gonczarek, Adam, Boudet, Julien, Wider, Gerhard

    Published in Bioinformatics (15-09-2015)
    “…A detailed analysis of multidimensional NMR spectra of macromolecules requires the identification of individual resonances (peaks). This task can be tedious…”
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    Journal Article
  5. 5

    Application of Dirichlet process mixture model to the identification of spin systems in protein NMR spectra by Klukowski, Piotr, Augoff, Michał, Zamorski, Maciej, Gonczarek, Adam, Walczak, Michał J.

    Published in Journal of biomolecular NMR (01-05-2018)
    “…Analysis of structure, function and interactions of proteins by NMR spectroscopy usually requires the assignment of resonances to the corresponding nuclei in…”
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    Journal Article
  6. 6

    Posttranslational Modifications of Intact Proteins Detected by NMR Spectroscopy: Application to Glycosylation by Schubert, Mario, Walczak, Michal J., Aebi, Markus, Wider, Gerhard

    Published in Angewandte Chemie International Edition (08-06-2015)
    “…Posttranslational modifications (PTMs) are an integral part of the majority of proteins. The characterization of structure and function of PTMs can be very…”
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    Journal Article
  7. 7
  8. 8

    Targeted protein degradation: You can glue it too by Walczak, Michal J, Petzold, Georg, Thomä, Nicolas H

    Published in Nature chemical biology (01-05-2017)
    “…Proteolysis-targeting chimera (PROTACs) are synthetic molecules that recruit neo-substrate proteins to a ubiquitin ligase for ubiquitination and subsequent…”
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    Journal Article
  9. 9

    Intramolecular Donor Strand Complementation in the E. coli Type 1 Pilus Subunit FimA Explains the Existence of FimA Monomers As Off-Pathway Products of Pilus Assembly That Inhibit Host Cell Apoptosis by Walczak, Michal J., Puorger, Chasper, Glockshuber, Rudi, Wider, Gerhard

    Published in Journal of molecular biology (06-02-2014)
    “…Type 1 pili are filamentous organelles mediating the attachment of uropathogenic Escherichia coli to epithelial cells of host organisms. The helical pilus rod…”
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    Journal Article
  10. 10

    The RING Domain of the Scaffold Protein Ste5 Adopts a Molten Globular Character with High Thermal and Chemical Stability by Walczak, Michal J., Samatanga, Brighton, van Drogen, Frank, Peter, Matthias, Jelesarov, Ilian, Wider, Gerhard

    Published in Angewandte Chemie International Edition (27-01-2014)
    “…Ste5 is a scaffold protein that controls the pheromone response of the MAP‐kinase cascade in yeast cells. Upon pheromone stimulation, Ste5 (through its RING‐H2…”
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    Journal Article
  11. 11

    Posttranslational Modifications of Intact Proteins Detected by NMR Spectroscopy: Application to Glycosylation by Schubert, Mario, Walczak, Michal J., Aebi, Markus, Wider, Gerhard

    Published in Angewandte Chemie (08-06-2015)
    “…Posttranslational modifications (PTMs) are an integral part of the majority of proteins. The characterization of structure and function of PTMs can be very…”
    Get full text
    Journal Article
  12. 12

    The RING Domain of the Scaffold Protein Ste5 Adopts a Molten Globular Character with High Thermal and Chemical Stability by Walczak, Michal J., Samatanga, Brighton, van Drogen, Frank, Peter, Matthias, Jelesarov, Ilian, Wider, Gerhard

    Published in Angewandte Chemie (27-01-2014)
    “…Ste5 is a scaffold protein that controls the pheromone response of the MAP‐kinase cascade in yeast cells. Upon pheromone stimulation, Ste5 (through its RING‐H2…”
    Get full text
    Journal Article
  13. 13

    You can glue it too by Walczak, Michal J, Petzold, Georg, Thomä, Nicolas H

    Published in Nature chemical biology (13-04-2017)
    “…Proteolysis-targeting chimera (PROTACs) are synthetic molecules that recruit neo-substrate proteins to a ubiquitin ligase for ubiquitination and subsequent…”
    Get full text
    Journal Article
  14. 14

    Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra by Zieba, Maciej, Klukowski, Piotr, Gonczarek, Adam, Nikolaev, Yaroslav, Walczak, Michal J.

    Published in Applied soft computing (01-07-2018)
    “…[Display omitted] •Novel tracking method of signals in NMR spectra.•Modelling trajectories with Gaussian process regression model.•First time supervised…”
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    Journal Article
  15. 15

    A benchmark for automated peak picking of protein NMR spectra by Klukowski, Piotr, Gonczarek, Adam, Walczak, Michal J.

    “…In drug discovery field, one of the major used techniques is Nuclear Magnetic Resonance spectroscopy (NMR). To date, most of the steps in NMR analysis have…”
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    Conference Proceeding
  16. 16

    Learning Deep Architectures for Interaction Prediction in Structure-based Virtual Screening by Gonczarek, Adam, Tomczak, Jakub M, Zaręba, Szymon, Kaczmar, Joanna, Dąbrowski, Piotr, Walczak, Michał J

    Published 19-09-2017
    “…We introduce a deep learning architecture for structure-based virtual screening that generates fixed-sized fingerprints of proteins and small molecules by…”
    Get full text
    Journal Article