Author

Felix Kühnl

Leipzig UniversityORCID 0000-0002-0665-6962Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:software / tool· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Organism:Drosophila· 1 Organism:E. coli· 1 Approach:machine learning (classical)· 1 Approach:simulation· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Sven FindeißiD· 4 shared Peter Florian StadleriD· 3 shared Christian Günzel· 1 shared Christina E. WeinbergiD· 1 shared Christoph Flamm AiD· 1 shared Christopher KlapprothiD· 1 shared Ivo L. HofackeriD· 1 shared Jörg FallmanniD· 1 shared

Activity by Year

2018-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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4 shared papersBioinformatics

Sven FindeißORCID

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4 papers

Recent·Most cited

Tailored machine learning models for functional RNA detection in genome-wide screens

Christopher Klapproth, Siegfried Zötzsche, Felix Kühnl, Jörg Fallmann, Peter Florian Stadler, Sven Findeiß

The paper introduces a software framework for training and evaluating machine learning models to detect functional RNA in genome-wide screens, demonstrating its use in Drosophila melanogaster.

NAR Genomics and Bioinformatics · Jul 5, 2023Peer-reviewedBioinformatics

Beyond Plug and Pray: Context Sensitivity and in silico Design of Artificial Neomycin Riboswitches

Christian Günzel, Felix Kühnl, Katharina Arnold, Sven Findeiß, Christina E. Weinberg, Peter Florian Stadler, Mario Mörl

The paper designs synthetic neomycin-responsive riboswitches and shows that their function depends on sequence context, introducing in silico methods to improve design.

RNA Biology · Sep 3, 2020Peer-reviewedSynthetic Biology

Assessing the Quality of Cotranscriptional Folding Simulations

Felix Kühnl, Peter Florian Stadler, Sven Findeiß

The paper introduces BarMap-QA, a pipeline for assessing the quality of cotranscriptional folding simulations of RNA elements.

bioRxiv · Jan 6, 2020 · PreprintBioinformatics

In silico design of ligand triggered RNA switches

Sven Findeiß, Stefan Hammer, Michael T. Wolfinger, Felix Kühnl, Christoph Flamm A, Ivo L. Hofacker

This paper describes an in silico workflow for designing RNA switches that change structure in response to ligands, using a theophylline aptamer as an example.

Methods · Apr 13, 2018Peer-reviewedBioinformatics