Protein embeddings to describe local electrostic enviroments
Project description
Protein Environment Graph Embeddings (PEGE)
Protein embeddings to describe local electrostic environments
Installation & Basic Usage
PEGE is installable from the Pypi repo:
python3 -m pip install pege
Pytorch Geometry also needs to be installed
In order for the structure preprocessing to work python2 and gawk need to installed.
apt install python2 gawk
Pege can be used to obtain protein embeddings as well as descriptors for specific atom_numbers
from a pdb
file:
from pege import Pege
protein = Pege(<pdb>)
protein_emb = protein.get_protein()
all_res_embs = protein.get_all_res_embs(chain="A")
Documentation
TBA
License
This source code is licensed under the MIT license found in the LICENSE file in the root directory of this source tree.
Contacts
Please submit a github issue to report bugs and to request new features. Alternatively, you may email the developer directly.
Project details
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