Thorben Froehlking
@tfroehlking.bsky.social
PostDoc, @gervasiolab.bsky.social UNIGE |
PhD, @bussilab.bsky.social SISSA |
#machinelearning, #RNA, #Proteins, #moleculardynamics matching experiments
PhD, @bussilab.bsky.social SISSA |
#machinelearning, #RNA, #Proteins, #moleculardynamics matching experiments
Our latest News & Views article with @gervasiolab.bsky.social published in Nature Computational Science. We discuss machine learning of committor-consistent transition pathways.
Read our piece here: www.nature.com/articles/s43...
And the research article here: www.nature.com/articles/s43...
Read our piece here: www.nature.com/articles/s43...
And the research article here: www.nature.com/articles/s43...
Learning committor-consistent collective variables - Nature Computational Science
An artificial neural network-based strategy is developed to learn committor-consistent transition pathways, providing insight into rare events in biomolecular systems.
www.nature.com
July 23, 2025 at 7:04 AM
Our latest News & Views article with @gervasiolab.bsky.social published in Nature Computational Science. We discuss machine learning of committor-consistent transition pathways.
Read our piece here: www.nature.com/articles/s43...
And the research article here: www.nature.com/articles/s43...
Read our piece here: www.nature.com/articles/s43...
And the research article here: www.nature.com/articles/s43...
Reposted by Thorben Froehlking
📢 Paper on the RBP Footprint Grand Challenge—launched at RNA2021 — is out in @rnajournal.bsky.social doi.org/10.1261/rna....! A community-driven benchmark of methods for predicting RBP binding sites, with contributions from @tfroehlking.bsky.social, Mattia Bernetti, and @bussigio.bsky.social
Evaluation of novel computational methods to identify RNA-binding protein footprints from structural data
A monthly journal publishing high-quality, peer-reviewed research on all topics related to RNA and its metabolism in all organisms
doi.org
May 27, 2025 at 5:37 AM
📢 Paper on the RBP Footprint Grand Challenge—launched at RNA2021 — is out in @rnajournal.bsky.social doi.org/10.1261/rna....! A community-driven benchmark of methods for predicting RBP binding sites, with contributions from @tfroehlking.bsky.social, Mattia Bernetti, and @bussigio.bsky.social
Reposted by Thorben Froehlking
Work done by Ivan Gilardoni, with help from @piompons.bsky.social @tfroehlking.bsky.social and @bussigio.bsky.social Code is available on GitHub github.com/bussilab/MDR... . Play with it using `pip install MDRefine` pypi.org/project/MDRe...
GitHub - bussilab/MDRefine
Contribute to bussilab/MDRefine development by creating an account on GitHub.
github.com
May 15, 2025 at 12:55 PM
Work done by Ivan Gilardoni, with help from @piompons.bsky.social @tfroehlking.bsky.social and @bussigio.bsky.social Code is available on GitHub github.com/bussilab/MDR... . Play with it using `pip install MDRefine` pypi.org/project/MDRe...
Reposted by Thorben Froehlking
📢 New #preprint describing our community effort to share #plumed tutorials arxiv.org/abs/2412.03595 ! Explore the tutorials at www.plumed-tutorials.org
PLUMED Tutorials: a collaborative, community-driven learning ecosystem
In computational physics, chemistry, and biology, the implementation of new techniques in a shared and open source software lowers barriers to entry and promotes rapid scientific progress. However, ef...
arxiv.org
December 6, 2024 at 3:07 PM
📢 New #preprint describing our community effort to share #plumed tutorials arxiv.org/abs/2412.03595 ! Explore the tutorials at www.plumed-tutorials.org