Direct generation of protein conformational ensembles via machine learning
Direct generation of protein conformational ensembles via machine learning
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Publisher
London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Contents
Dynamics and conformational sampling are essential for linking protein structure to biological function. While challenging to probe experimentally, computer simulations are widely used to describe protein dynamics, but at significant computational costs that continue to limit the systems that can be studied. Here, we demonstrate that machine learni...
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Full title
Direct generation of protein conformational ensembles via machine learning
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TN_cdi_doaj_primary_oai_doaj_org_article_b400ceceeef64e98a4a12bc0b6ba15b8
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b400ceceeef64e98a4a12bc0b6ba15b8
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-023-36443-x
