Deep learning of protein energy landscape and conformational dynamics from experimental structures in PDB
Yike Tang,
Mendi Yu,
Ganggang Bai
et al.
Abstract:Protein structure prediction has reached revolutionary levels of accuracy on single structures, implying biophysical energy function can be learned from known protein structures. However apart from single static structure, conformational distributions and dynamics often control protein biological functions. In this work, we tested a hypothesis that protein energy landscape and conformational dynamics can be learned from experimental structures in PDB and coevolution data. Towards this goal, we develop DeepConf… Show more
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