Maximilia Degenhardt

[Yun-Xing Wang Lab @YunXingWangLab]

Congrats to everyone on this project! The first 3D structures of a complete and fully functional RNA device that regulates gene expression through inducible and reversible induction with tetracycline. Not to mention 3-A-resolution for a 40 kDa RNA!
https://t.co/fgZ4rgsEFU

[Nature Methods @naturemethods]

Research Highlight by Arunima Singh: HORNET combines Atomic Force Microscopy and deep neural networks to determine the individual 3D structures of heterogeneous RNA conformers.

Paper:
https://t.co/BNR1WWsKig

Highlight:
https://t.co/SwS78Zfpam

[Phys.org @physorg_com]

#HORNET, a new #Rna visualization method, uses AFM and deep learning to map 3D structures of large, flexible RNAs, overcoming limitations of traditional techniques and advancing RNA #StructuralBiology. @nature https://t.co/ndqmjKPete https://t.co/f7pFUXs5OV

[nature @Nature]

Nature research paper: The conformational space of RNase P RNA in solution

https://t.co/IfKTdf8Jcd

[nature @Nature]

Nature research paper: Determining structures of RNA conformers using AFM and deep neural networks

https://t.co/7h0xXrNxcA

[Maximilia Degenhardt @Degenhardt_MFS]

‘It will change everything’: DeepMind’s AI makes gigantic leap in solving protein structures https://t.co/ImtVzDEyuo