AlphaFold structures with AlphaMissense scores
These repository provides: NEW: AFwAM-pdb-qb.tar file including pdb.gz files for human protein structures from the AlphaFoldDb with occupancy column set to residue-wise mean of all a.a. variations and temperature factor column set to residue-wise mean of single nucleotde variations; a PyMOL plugin...
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NEW: AFwAM-pdb-qb.tar file including pdb.gz files for human protein structures from the AlphaFoldDb with occupancy column set to residue-wise mean of all a.a. variations and temperature factor column set to residue-wise mean of single nucleotde variations; a PyMOL plugin file (coloram-qb.py) for coloring these structures (coloram column=b or coloram column=q; b is the default)
AFwAM-pdb.tar file including pdb.gz files for human protein structures from the AlphaFoldDb with occupancy and temperature factor columns set to residue-wise mean of AlphaMissense scores;
A PyMOL plugin file (coloram.py) for coloring these structures;
For data, Python scripts, and notebooks, please refer to the pub.zip file; detailed instructions are provided in the README.md within this archive and further explained in our manuscript.
For alternative data access, please visit https://alphamissense.hegelab.org.
Disclaimer: The AlphaMissense Database and other information provided on or linked to this site is for theoretical modelling only, caution should be exercised in use. It is provided "as-is" without any warranty of any kind, whether express or implied. For clarity, no warranty is given that use of the information shall not infringe the rights of any third party (and this disclaimer takes precedence over any contrary provisions in the Google Cloud Platform Terms of Service). The information provided is not intended to be a substitute for professional medical advice, diagnosis, or treatment, and does not constitute medical or other professional advice.
Data contained within the AlphaMissense Database is provided for non-commercial research use only under CC BY-NC-SA 4.0 license.
DeepMind - AlphaMissense: https://doi.org/10.1126/science.adg7492 |
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DOI: | 10.5281/zenodo.10023059 |