The book describes a successful approach in which, based on cryo-EM data, all states visited by the molecule in thermal equilibrium are mapped by manifold embedding--a method of geometric machine learning--and the energy landscape of the molecule is derived.
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The book describes a successful approach in which, based on cryo-EM data, all states visited by the molecule in thermal equilibrium are mapped by manifold embedding--a method of geometric machine learning--and the energy landscape of the molecule is derived.
Read Less