Author

Nela Sendlerová

Masaryk UniversityORCID 0009-0002-3702-7971Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:variant effect prediction· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:perturbation response prediction· 1 Research Focus:protein folding & dynamics· 1

Frequent Co-Authors

Hana FaldynováiD· 2 shared Jiřı́ DamborskýiD· 2 shared Stanislav MazurenkoiD· 2 shared Uwe T. BornscheueriD· 2 shared Zbyněk ProkopiD· 2 shared Andreas Jakob· 1 shared Andrew J. deMelloiD· 1 shared Ankit JainiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBiochemistry

Hana FaldynováORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Uncovering Functional Distant Mutations by Ultra-High-Throughput Screening of Dehalogenases

Hana Faldynová, David R. Kovar, Ankit Jain, Michaela Slanska, Marek Martínek, Andreas Jakob, Marie Šulová, Michal Vasina, Joan Planas-Iglesias, Sérgio M. Marques, Naina Verma, Pavel Vaňáček, David Damborsky, Christoffel P. S. Badenhorst, Tomáš Buryška, , Zbyněk Prokop

This study uses ultrahigh-throughput screening to identify mutations in dehalogenases that modulate substrate access and binding, revealing distal functional effects on enzyme dynamics.

ACS Catalysis · Oct 2, 2026Peer-reviewedBiochemistry

SoluProtMut: Siamese Deep Learning for Predicting Solubility Effects of Protein Mutations with Experimental Validation

Jan Velecký, Hana Faldynová, Pedro Hermosilla, Nela Sendlerová, Mark Doerr, Sára Egersdorfová, Uwe T. Bornscheuer, Jiřı́ Damborský, Zbyněk Prokop, Stanislav Mazurenko

The paper introduces SoluProtMut, a Siamese deep learning model for predicting solubility effects of protein mutations, validated with experimental data and benchmarked against existing methods.

bioRxiv · Sep 26, 2025 · PreprintBioinformatics