Author

Marlena Gąsior‐Głogowska

Wrocław University of Science and TechnologyORCID 0000-0002-7835-7523Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:fungi (other)· 2 Research Focus:gene regulatory network inference· 2 Assay:protein sequence· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Monika SzefczykiD· 2 shared Natalia SzulciD· 2 shared Witold DyrkaiD· 2 shared Emirhan TekogluiD· 1 shared Jakub Wiktor WojciechowskiiD· 1 shared Marta KopaczyńskaiD· 1 shared Sven J. SaupeiD· 1 shared Virginie CoustouiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Monika SzefczykORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Exploring a diverse world of effector domains and amyloid signaling motifs in fungal NLR proteins

Jakub Wiktor Wojciechowski, Emirhan Tekoglu, Marlena Gąsior‐Głogowska, Virginie Coustou, Natalia Szulc, Monika Szefczyk, Marta Kopaczyńska, Sven J. Saupe, Witold Dyrka

The paper analyzes fungal NLR proteins to identify effector domains and amyloid signaling motifs using bioinformatics and structural prediction tools, revealing new domains and expanded amyloid motif families.

PLoS Computational Biology · Dec 21, 2022Peer-reviewedBioinformatics

Searching for universal model of amyloid signaling motifs using probabilistic context-free grammars

Witold Dyrka, Marlena Gąsior‐Głogowska, Monika Szefczyk, Natalia Szulc

The paper develops probabilistic context-free grammars to detect amyloid signaling motifs across diverse species, showing improved sensitivity and generalization over existing methods.

BMC Bioinformatics · Apr 29, 2021Peer-reviewedBioinformatics