Rational strategies for improving the efficiency of design and discovery of nanomedicines
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DOI: 10.1038/s41467-024-54265-3
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- Yue Xu & Shihao Ma & Haotian Cui & Jingan Chen & Shufen Xu & Fanglin Gong & Alex Golubovic & Muye Zhou & Kevin Chang Wang & Andrew Varley & Rick Xing Ze Lu & Bo Wang & Bowen Li, 2024. "AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
- Keith T. Butler & Daniel W. Davies & Hugh Cartwright & Olexandr Isayev & Aron Walsh, 2018. "Machine learning for molecular and materials science," Nature, Nature, vol. 559(7715), pages 547-555, July.
- Zhao Ma & Jin Li & Kai Lin & Mythili Ramachandran & Dalin Zhang & Megan Showalter & Cristabelle Souza & Aaron Lindstrom & Lucas N. Solano & Bei Jia & Shiro Urayama & Yuyou Duan & Oliver Fiehn & Tzu-yi, 2020. "Pharmacophore hybridisation and nanoscale assembly to discover self-delivering lysosomotropic new-chemical entities for cancer therapy," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
- Josh Abramson & Jonas Adler & Jack Dunger & Richard Evans & Tim Green & Alexander Pritzel & Olaf Ronneberger & Lindsay Willmore & Andrew J. Ballard & Joshua Bambrick & Sebastian W. Bodenstein & David , 2024. "Accurate structure prediction of biomolecular interactions with AlphaFold 3," Nature, Nature, vol. 630(8016), pages 493-500, June.
- Anastasiia V. Sadybekov & Vsevolod Katritch, 2023. "Computational approaches streamlining drug discovery," Nature, Nature, vol. 616(7958), pages 673-685, April.
- Po-Ssu Huang & Scott E. Boyken & David Baker, 2016. "The coming of age of de novo protein design," Nature, Nature, vol. 537(7620), pages 320-327, September.
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