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Showing 1–7 of 7 results
Advanced filters: Author: Hannah K. Wayment-Steele Clear advanced filters

  • Designing single molecules capable of complex sensing functions is challenging. Now, using crowdsourced RNA designs from the online game Eterna, compact single-molecule sensors have been demonstrated for a variety of tasks, including a complex three-input tuberculosis diagnostic. The development of a Monte Carlo Tree Search algorithm enabled automated design of similarly sophisticated nucleic-acid sensors.

    • Christian A. Choe
    • Johan O. L. Andreasson
    • Rhiju Das
    ResearchOpen Access
    Nature Chemistry
    Volume: 17, P: 1839-1852

  • Predicting RNA degradation is a fundamental task in designing RNA-based therapeutics. Two crowdsourcing platforms, Kaggle and Eterna, united to develop accurate deep learning models for RNA degradation on a timescale of 6 months.

    • Hannah K. Wayment-Steele
    • Wipapat Kladwang
    • Rhiju Das
    ResearchOpen Access
    Nature Machine Intelligence
    Volume: 4, P: 1174-1184

  • An analysis of the evolutionary distribution of predicted structures for the metamorphic protein KaiB using AF-Cluster reveals that both conformations of KaiB were distributed in clusters across the KaiB family.

    • Hannah K. Wayment-Steele
    • Adedolapo Ojoawo
    • Dorothee Kern
    ResearchOpen Access
    Nature
    Volume: 625, P: 832-839

  • DNA thermodynamics underlies many biological and biotechnological applications but is challenging to accurately predict. Here, the authors develop a high-throughput DNA melting method and improve computational models for predicting DNA folding energies from sequence data.

    • Yuxi Ke
    • Eesha Sharma
    • William J. Greenleaf
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-19

  • The EternaBench dataset of synthetic RNA constructs was used to directly compare RNA secondary structure prediction software packages on ensemble-oriented prediction tasks and used to train the EternaFold model for improved performance.

    • Hannah K. Wayment-Steele
    • Wipapat Kladwang
    • Rhiju Das
    Research
    Nature Methods
    Volume: 19, P: 1234-1242