ucbshift_weights / README.md
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# UCBShift Model Weights
This repository hosts model weights for UCBShift, a protein chemical shift
predictor from the Head-Gordon Lab at UC Berkeley.
## Original source
Weights downloaded from Dryad: https://doi.org/10.6078/D1B974
## Citation
Li, Jie, et al. "Accurate prediction of chemical shifts for aqueous protein
structure on 'Real World' data." Chemical Science 11.12 (2020): 3180-3191.
## Usage
```python
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="your-username/ucbshift-weights",
repo_type="model",
local_dir="./ucbshift"
)
```
## License
Copyright ©2020 The Regents of the University of California (Regents).
All Rights Reserved.
Permission to use, copy, modify, and distribute this software and its
documentation for educational, research, and not-for-profit purposes,
without fee and without a signed licensing agreement, is hereby granted,
provided that the above copyright notice, this paragraph and the following
paragraphs appear in all copies, modifications, and distributions. Contact
The Office of Technology Licensing, UC Berkeley, 2150 Shattuck Avenue,
Suite 408, Berkeley, CA 94704-1362, otl@berkeley.edu.
IN NO EVENT SHALL REGENTS BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT,
SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS,
ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF
REGENTS HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
REGENTS SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED
TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE. THE SOFTWARE AND ACCOMPANYING DOCUMENTATION, IF ANY, PROVIDED
HEREUNDER IS PROVIDED "AS IS". REGENTS HAS NO OBLIGATION TO PROVIDE
MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.
## Note
This repository redistributes these weights for academic research purposes
consistent with the terms above. If you use these weights commercially or
for non-research purposes, contact UC Berkeley's Office of Technology
Licensing at otl@berkeley.edu.