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  1. Article

    Open Access

    RNA contact prediction by data efficient deep learning

    On the path to full understanding of the structure-function relationship or even design of RNA, structure prediction would offer an intriguing complement to experimental efforts. Any deep learning on RNA struc...

    Oskar Taubert, Fabrice von der Lehr, Alina Bazarova in Communications Biology (2023)

  2. Chapter and Conference Paper

    Massively Parallel Genetic Optimization Through Asynchronous Propagation of Populations

    We present Propulate, an evolutionary optimization algorithm and software package for global optimization and in particular hyperparameter search. For efficient use of HPC resources, Propulate omits the synchroni...

    Oskar Taubert, Marie Weiel, Daniel Coquelin, Anis Farshian in High Performance Computing (2023)

  3. Article

    Open Access

    Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions

    Molecular simulations are a powerful tool to complement and interpret ambiguous experimental data on biomolecules to obtain structural models. Such data-assisted simulations often rely on parameters, the choic...

    Marie Weiel, Markus Götz, André Klein, Daniel Coquelin in Nature Machine Intelligence (2021)