Author

Nono S. C. Merleau

Max Planck Institute for Mathematics in the SciencesORCID 0000-0003-3150-6250Unclaimed 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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Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

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Matteo SmerlakiD· 2 shared Vaitea OpuuiD· 1 shared Vincent MessowiD· 1 shared

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2022-2022 · peak 2/yr

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Matteo SmerlakORCID

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2 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedAug 26, 2022

RAFFT: Efficient prediction of RNA folding pathways using the fast Fourier transform

Vaitea Opuu, Nono S. C. Merleau, Vincent Messow, Matteo Smerlak

RAFFT predicts RNA folding pathways using a heuristic combining a folding algorithm and kinetic ansatz, efficiently generating near-native structures for RNA sequences up to 200 nucleotides.

3 citations

statistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJan 17, 2022

An evolutionary algorithm for inverse RNA folding inspired by Levy flights

Nono S. C. Merleau, Matteo Smerlak

This paper introduces a Levy flight-based mutation scheme in an RNA inverse folding algorithm, improving sequence diversity and reducing computational cost on benchmark datasets.

1 citation

statistical modelexperimental assay

𝕏 PostBluesky