https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2023Bai_Challenges 2026-05-24T22:00:55Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2023Bai_Challenges&diff=4519&oldid=prev 2024-01-09T08:51:47Z

<p>Created page with &quot;== Citation == Bai, Xiao-chen / Gonen, Tamir / Gronenborn, Angela M. / Perrakis, Anastassis / Thorn, Andrea / Yang, Jianyi. Challenges and opportunities in macromolecular str...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Bai, Xiao-chen / Gonen, Tamir / Gronenborn, Angela M. / Perrakis, Anastassis / Thorn, Andrea / Yang, Jianyi. Challenges and opportunities in macromolecular structure determination. 2023. Nature Reviews Molecular Cell Biology, p. 1-6 <br /> <br /> == Abstract ==<br /> <br /> Embedded within the complexity of<br /> biological systems lies a formidable<br /> task: deciphering the intricate<br /> architecture of macromolecules.<br /> In this Viewpoint, a panel of experts<br /> discuss the key challenges and<br /> opportunities of macromolecular<br /> structure determination,<br /> highlighting the crucial synergy<br /> between empirical experimentation<br /> and artificial intelligence-based<br /> techniques in unravelling these<br /> complexities.<br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://www.nature.com/articles/s41580-023-00659-y<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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