Author

Zarifa Osmanli

Centre National de la Recherche ScientifiqueORCID 0000-0003-2460-1989Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:protein sequence· 2 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Organism:multiple species· 1 Assay:protein structure· 1

Frequent Co-Authors

Andrey V. KajavaiD· 2 shared Théo Falgarone· 2 shared Alexander Miguel MonzóniD· 1 shared Andrew V. OleinikoviD· 1 shared Damiano PiovesaniD· 1 shared Denis N. Prada GoriiD· 1 shared Elisa Ferrero· 1 shared Étienne VillainiD· 1 shared

Activity by Year

2023-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Andrey V. KajavaORCID

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3 papers

Recent·Most cited

BioinformaticsFEBS JournalPeer-reviewedSep 24, 2025

Frameshifts in Tandem Repeats: Consequences on Protein Physicochemical Properties and Function

Zarifa Osmanli, Gudrun Aldrian, Jeremy Y. Leclercq…·Andrey V. Kajava

The paper analyzes frameshifts in tandem repeats across proteomes, showing they significantly alter protein physicochemical properties and function.

DOI 10.1111/febs.70273

multiple speciesprotein sequence

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedJul 1, 2025

GeomeTRe: accurate calculation of geometrical descriptors of tandem repeat proteins

Zarifa Osmanli, Elisa Ferrero, Alexander Miguel Monzón…·Damiano Piovesan

GeomeTRe calculates geometric descriptors for tandem repeat proteins, improving their classification by analyzing structural symmetry and variations in spatial arrangements.

DOI 10.1093/bioinformatics/btaf395

protein structurestatistical model

𝕏 PostBluesky

Molecular BiologyBriefings in BioinformaticsPeer-reviewedMay 17, 2023

Census of exposed aggregation-prone regions in proteomes

Théo Falgarone, Étienne Villain, Francois Richard…·Andrey V. Kajava

The paper identifies and analyzes Exposed Aggregation-prone Regions (EARs) in proteomes across three kingdoms of life using a bioinformatics pipeline.

7 citations

𝕏 PostBluesky