Author

Soumyadeep Ghosh

Center for Systems Biology DresdenORCID 0000-0002-4691-3636Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:gene regulatory network inference· 2 Approach:machine learning (classical)· 2 Assay:protein sequence· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Ágnes Tóth-PetróczyiD· 2 shared Anna HadarovichiD· 2 shared Anthony A. HymaniD· 1 shared Chi Fung Willis ChowiD· 1 shared Hari Raj Singh· 1 shared Maxim ScheremetjewiD· 1 shared Nadia RostamiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

Ágnes Tóth-PetróczyORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedDec 11, 2024

PICNIC accurately predicts condensate-forming proteins regardless of their structural disorder across organisms

Anna Hadarovich, Hari Raj Singh, Soumyadeep Ghosh…·Ágnes Tóth-Petróczy

PICNIC predicts condensate-forming proteins across organisms by analyzing sequence and structure, outperforming existing methods and showing no correlation between disorder content and predicted condensate proteome across species.

45 citationstop 2%

humanmouse

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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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