Can't you take into account 3D data?
UnixJunkie opened this issue · 2 comments
UnixJunkie commented
Hello,
If you are given a 3D structure solved experimentally (e.g. in the PDB).
Can't you use that to improve your predictions?
With a structure, we will know which AAs are buried and which
have a chance to be solvent-exposed or exposed to the lipid layer.
Very interesting work!
Thanks a lot for making it open-source!
Regards,
Francois.
Luofan-KK commented
Thanks for your issue. Our predictor is designed to predict RLA, RSA and RBSA from sequences. If you have a 3D structure, you can:
- Search for its existence in MemProtMD databse, which is also the training set of ProtRAP. Or you can execute your own molecular dynamics simulations following their protocol.
- Use OPM server to calculate the orientation of the protein in the lipid bilayer.
In summary, if you already have a 3D structure, there are several ways to get more accurate results.
UnixJunkie commented
Thanks, I did not know about those.
You know your topic.