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dataset for preprint "Musicality in protein interaction dynamics informs the multi-scale evolution of prosocial behavior"

Name: dataset for preprint "Musicality in protein interaction dynamics informs the multi-scale evolution of prosocial behavior"
Creator: Babbitt, Gregory
Keywords: language, machine learning, biophysics, evolution, music, animal communication

Research datakeyboard_double_arrow_right Dataset 12 Mar 2025Embargo end date: 12 Mar 2025 English Publisher:Zenodo

Authors: Babbitt, Gregory;

doi: 10.5281/zenodo.15013665 , 10.5281/zenodo.15013666

dataset for preprint "Musicality in protein interaction dynamics informs the multi-scale evolution of prosocial behavior"

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Abstract

This is the published data set and complete supporting code for the bioRxiv preprint titled "Musicality in protein interaction dynamics informs the multi-scale evolution of prosocial behavior" by Greg Babbitt, Lin Wang and Ernest Fokoue from the T.H. Gosnell School of Life Sciences and the School of Mathematics Sciences at the Rochester Institute of Technology. The preprint and supplemental methods are included here as well. Supporting code includes the software for ATOMDANCE 5.0, Atomdance AudioVisualizer and all post-processing machine learning codes as well. See the preprint included here for more details.

Related Organizations

Rochester Institute of Technology
United States

Keywords

language, machine learning, biophysics, evolution, music, animal communication

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	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

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