https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2023Miyashita_MD 2026-05-24T20:24:56Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2023Miyashita_MD&diff=4503&oldid=prev 2024-01-05T08:08:01Z

<p>Created page with &quot;== Citation == Miyashita, Osamu / Tama, Florence. Advancing cryo-electron microscopy data analysis through accelerated simulation-based flexible fitting approaches. 2023. Cur...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Miyashita, Osamu / Tama, Florence. Advancing cryo-electron microscopy data analysis through accelerated simulation-based flexible fitting approaches. 2023. Current Opinion in Structural Biology, Vol. 82, p. 102653 <br /> <br /> == Abstract ==<br /> <br /> Flexible fitting based on molecular dynamics simulation is a<br /> technique for structure modeling from cryo-EM data. It has<br /> been utilized for nearly two decades, and while cryo-EM resolution<br /> has improved significantly, it remains a powerful approach<br /> that can provide structural and dynamical insights that are not<br /> directly accessible from experimental data alone. Molecular<br /> dynamics simulations provide a means to extract atomistic<br /> details of conformational changes that are encoded in cryo-EM<br /> data and can also assist in improving the quality of structural<br /> models. Additionally, molecular dynamics simulations enable<br /> the characterization of conformational heterogeneity in cryo-EM<br /> data. We will summarize the advancements made in these<br /> techniques and highlight recent developments in this field.<br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://www.sciencedirect.com/science/article/pii/S0959440X23001276<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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