Unsupervised Learning of Transient Structural Motifs of ssDNA Using Translationally and Rotationally Invariant Features
Keywords: AI, machine learning, molecular dynamics simulations, ssDNA
TL;DR: Studying the dynamics of ssDNA by applying unsupervised learning to analyze transient structural motifs in molecular dynamics simulations.
Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.
PDF: pdf
Submission Number: 212
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