Below is a list of related publications by the partners of the BioExcel consortium. We strive to publish as Open Access, or to provide green open access preprints where gold open access is not possible. Please let us know if you are unable to access any of our publications.
Here, through massive plain MD simulations, enhanced sampling calculations, free energy-based alchemical transformation and bioinformatics we show that SARS-CoV-2 likely evolved in Rhinolophus affinis bats by acquiring a surprisingly-high affinity for their ACE2 receptors.
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We present a physics-based machine learning approach to predict transcription factor binding affinities in vitro from structural and mechanical DNA properties directly derived from atomistic molecular dynamics simulations.
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Exascale computing has been a dream for ages and is close to become a reality that will impact the way in which molecular simulations are being performed and the quantity and quality of the information derived for them. We review how the biomolecular simulations field is anticipating these new architectures, making emphasis in recent work from groups in the BioExcel Center of Excellence for High Performance Computing.
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