Deep clustering of protein folding simulations
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DOI: 10.1186/s12859-018-2507-5
Abstract: BackgroundWe examine the problem of clustering biomolecular simulations using deep learning techniques. Since biomolecular simulation datasets are inherently high dimensional, it is often necessary to build low dimensional representations that can be used to extract… read more here.
Keywords: protein; latent features; protein folding; cvae model ... See more keywords