Author

Chi Fung Willis Chow

Center for Systems Biology DresdenORCID 0000-0001-9889-9664Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Ágnes Tóth-PetróczyiD· 2 shared Anna HadarovichiD· 1 shared Jens‐Uwe SommeriD· 1 shared Soumyadeep GhoshiD· 1 shared Tyler S. HarmoniD· 1 shared Zhouyi HeiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersBiophysics

Ágnes Tóth-PetróczyORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintSep 30, 2025

Born to Condense: Polysomes Drive Co-Translational Condensation of Biomolecular Condensate Proteins

Zhouyi He, Chi Fung Willis Chow, Ágnes Tóth-Petróczy…·Tyler S. Harmon

This paper introduces a theoretical framework for co-translational condensation (CTC), showing how polysomes drive the formation of biomolecular condensates through protein synthesis.

3 citations

statistical model

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BioinformaticsProceedings of the National Academy of SciencesPeer-reviewedOct 9, 2024

SHARK enables homology assessment in unalignable anddisordered sequences

Chi Fung Willis Chow, Soumyadeep Ghosh, Anna Hadarovich, Ágnes Tóth-Petróczy

SHARK-dive, an alignment-free method, accurately assesses homology in unalignable and disordered sequences, improving functional annotation of intrinsically disordered regions.

15 citations

protein sequencemachine learning (classical)

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