Author

Arne Praznik

University of Ljubljana

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Synthetic Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:human· 1 Assay:metagenomics· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

Roman JeralaiD· 2 shared Alessio MallozziiD· 1 shared Anob M. ChakrabartiiD· 1 shared Diego di BernardoiD· 1 shared Francesco RagazziniiD· 1 shared Jan LonzarićiD· 1 shared Jernej UleiD· 1 shared Mojca BenčinaiD· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersSynthetic Biology

Roman JeralaORCID

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Author profile →

3 papers

Recent·Most cited

A general strategy to engineer high-performance mammalian Whole-Cell Biosensors

Alessio Mallozzi, Virginia Fusco, Francesco Ragazzini, Arne Praznik, Roman Jerala, Diego di Bernardo

This paper introduces a method to design high-performance mammalian whole-cell biosensors by integrating synthetic biology and control engineering, resulting in a versatile biosensor named CASense.

bioRxiv · Feb 28, 2024 · PreprintSynthetic Biology

Regulation of protein secretion through chemical regulation of endoplasmic reticulum retention signal cleavage

Arne Praznik, Tina Fink, Nik Franko, Jan Lonzarić, Mojca Benčina, Nina Jerala, Tjaša Plaper, Samo Roškar, Roman Jerala

The paper introduces two genetically encoded secretion systems that enable fast, chemically regulated protein secretion by cleaving ER retention signals, bypassing the need for transcription and translation.

Nature Communications · Mar 8, 2022Peer-reviewedSynthetic Biology

Data Science Issues in Understanding Protein-RNA Interactions

Anob M. Chakrabarti, Nejc Haberman, Arne Praznik, Nicholas M. Luscombe, Jernej Ule

The paper evaluates computational methods for analyzing CLIP data to understand protein-RNA interactions and assesses their impact on regulatory insights.

bioRxiv · Oct 25, 2017 · PreprintBioinformatics