Solution-State Methyl NMR Spectroscopy of Large Non-Deuterated Proteins Enabled by Deep Neural Networks
<p>This dataset relates to the publications:</p> <p><a href="https://doi.org/10.1038/s41467-024-49378-8">Solution-state methyl NMR spectroscopy of large non-deuterated proteins enabled by deep neural networks.</a> <span>Karunanithy G, Shukla VK, Hansen DF<strong>. </strong></span><span>Nat Commun. 2024 Jun 13;15(1):5073. doi: 10.1038/s41467-024-49378-8.</span></p> <ul> <li>Training data for Deep Neural Networks developed in the manuscript "Solution-State Methyl NMR Spectroscopy of Large Non-Deuterated Proteins Enabled by Deep Neural Networks"</li> <li>Experimental cross-validation data: <ul> <li>2D spectra of HDAC8, MSG, and a7a7 proteasome</li> <li>3D NOESY spectra of MSG</li> </ul> </li> </ul> <p>Please see GitHub (https://github.com/gogulan-k/FID-Net) for additional scripts and details. </p>
ShareScore
28/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4