Krzysztof Szczepaniak

发表

Ferredoxin:NADP+ oxidoreductase in junction with CdSe/ZnS quantum dots: characteristics of an enzymatically active nanohybrid

R. Worch, Krzysztof Szczepaniak, J. Grzyb, 2013, Journal of physics. Condensed matter : an Institute of Physics journal.

Designability landscape reveals sequence features that define axial helix rotation in four-helical homo-oligomeric antiparallel coiled-coil structures.

J. Bujnicki, G. Lach, S. Dunin-Horkawicz, 2014, Journal of structural biology.

ANO5 mutations in the Polish limb girdle muscular dystrophy patients: Effects on the protein structure

S. Dunin-Horkawicz, A. Kaminska, V. Straub, 2019, Scientific Reports.

Modeling of Protein-RNA Complex Structures Using Computational Docking Methods.

Joanna M. Kasprzak, J. Bujnicki, I. Tuszynska, 2016, Methods in molecular biology.

Ferredoxin:NADP+ oxidoreductase junction with CdSe/ZnS quantum dots — An example of enzymatically active nanohybrids to be used in photosynthesis research

A. Baranowska-Korczyc, R. Worch, Krzysztof Szczepaniak, 2012 .

Protein modularity in phages is extensive and associated with functions linked to core replication machinery and host tropism 2 determinants

E. Rocha, S. Dunin-Horkawicz, Krzysztof Szczepaniak, 2022 .

The disordered P granule protein LAF-1 drives phase separation into droplets with tunable viscosity and dynamics

C. Brangwynne, S. Myong, C. Eckmann, 2015, Proceedings of the National Academy of Sciences.

DeepCoil - a fast and accurate prediction of coiled-coil domains in protein sequences

Krzysztof Szczepaniak, Vikram Alva, Jan Ludwiczak, 2019, Bioinform..

Ongoing shuffling of protein fragments diversifies core viral functions to tackle bacterial resistance mechanisms

E. Rocha, S. Dunin-Horkawicz, Krzysztof Szczepaniak, 2023, bioRxiv.

PiPred – a deep-learning method for prediction of π-helices in protein sequences

Krzysztof Szczepaniak, Vikram Alva, Jan Ludwiczak, 2019, Scientific reports.

PiPred – a deep-learning method for prediction of π-helices in protein sequences

Antonio Marinho da Silva Neto, S. Dunin-Horkawicz, J. Ludwiczak, 2019, Scientific Reports.

A library of coiled-coil domains: from regular bundles to peculiar twists

Jan Ludwiczak, Stanislaw Dunin-Horkawicz, Antonio Marinho da Silva Neto, 2020, Bioinform..

Rossmann-toolbox: a deep learning-based protocol for the prediction and design of cofactor specificity in Rossmann fold proteins

S. Dunin-Horkawicz, J. Ludwiczak, M. Jasiński, 2021, Briefings Bioinform..

Graph neural networks and sequence embeddings enable the prediction and design of the cofactor specificity of Rossmann fold proteins

S. Dunin-Horkawicz, K. Kamiński, J. Ludwiczak, 2021 .

Rossmann-toolbox: a deep learning-based protocol for the prediction and design of cofactor specificity in Rossmann fold proteins

S. Dunin-Horkawicz, K. Kamiński, J. Ludwiczak, 2021, bioRxiv.

Identification of protein structural elements responsible for the diversity of sequence preferences among Mini-III RNases

J. Bujnicki, K. Skowronek, Krzysztof Szczepaniak, 2016, Scientific Reports.

Variability of the core geometry in parallel coiled-coil bundles.

S. Dunin-Horkawicz, J. Ludwiczak, Krzysztof Szczepaniak, 2018, Journal of structural biology.