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Showing 1–2 of 2 results
Advanced filters: Author: Nicolo Alagna Clear advanced filters

  • Building kinetic models from time-resolved data can be challenging due to the presence of unknown intermediate states. Here, the authors introduce a deep- learning-based framework that provides a kinetic reaction network and outperforms conventional fitting in determining time constants and amplitude parameters.

    • Nicolò Alagna
    • Brigitta Dúzs
    • Susanne Gerber
    ResearchOpen Access
    Communications Chemistry
    Volume: 8, P: 1-15

  • RNA modifications play critical roles in gene expression regulation, RNA stability, and translation efficiency, however, the detection of RNA modifications by various sequencing approaches may present differing results. Here, the authors explore several computational methods for the detection of the most researched mRNA modifications, with a view to improving algorithms’ comparability, reliability, and consistency in RNA modification prediction.

    • Jannes Spangenberg
    • Stefan Mündnich
    • Nicolo Alagna
    ResearchOpen Access
    Communications Chemistry
    Volume: 8, P: 1-10