Author

Pedro Hermosilla

TU WienORCID 0000-0003-3586-4741Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1 Approach:transformer / foundation model· 1 Organism:yeast· 1

Frequent Co-Authors

Hana FaldynováiD· 1 shared Jan VeleckýiD· 1 shared Jiřı́ DamborskýiD· 1 shared Mark DoerriD· 1 shared Nela SendlerováiD· 1 shared Sára EgersdorfováiD· 1 shared Stanislav MazurenkoiD· 1 shared Uwe T. BornscheueriD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Hana FaldynováORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 26, 2025

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

Jan Velecký, Hana Faldynová, Pedro Hermosilla…·Stanislav Mazurenko

The paper introduces SoluProtMut, a Siamese deep learning model for predicting solubility effects of protein mutations, validated experimentally on 277 mutants.

DOI 10.1101/2025.09.26.676459

bacteria (other)yeast

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