DynaMine v2, an updated version of the sequence-to-dynamics predictor

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type , Article 27 Oct 2020 Belgium English Publisher:ZenodoFunded by:EC | RNAct

Authors: Gavaldá-García, Jose; Roca-Martínez, Joel; Vranken, Wim F.;

doi: 10.5281/zenodo.4146988 , 10.5281/zenodo.4146989

DynaMine v2, an updated version of the sequence-to-dynamics predictor

- Summary
- Subjects
- Metrics

Abstract

{"references": ["Cilia, E., Pancsa, R., Tompa, P., Lenaerts, T., & Vranken, W. F. (2013). From protein sequence to dynamics and disorder with DynaMine. Nature Communications, 4(1), 2741. https://doi.org/10.1038/ncomms3741. http://dynamine.ibsquare.be/", "Orlando, G., Raimondi, D., & F. Vranken, W. (2019). Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index. Nature Communications, 10(1), 2511. https://doi.org/10.1038/s41467-019-10322-w"]}

This poster was presented at BioSB 2020, Online (originally planned for Lunteren, The Netherlands) on 28th October 2020.

Country

Belgium

Related Organizations

Vrije Universiteit Brussel
Belgium

Keywords

Nuclear Magnetic Resonance, Recurrent Neural Network, Neural Network, Chemical Shift, Molecular Dynamics, Estimator, RNN, Embeddings, Machine Learning, Protein Dynamics, ShiftCrypt, Dynamine, RNA, RNAct, Embedding

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average