DeepSMILES, a SMILES-like syntax suited to machine learning
This Python module can convert well-formed SMILES (that is, as writen by a cheminformatics toolkit) to DeepSMILES. It also does the reverse conversion.
Install the latest version with:
pip install --upgrade deepsmiles
DeepSMILES is a SMILES-like syntax suited to machine learning. Rings are indicated using a single symbol instead of two, while branches do not use matching parentheses but rather use a right parenthesis as a ‘pop’ operator.
For example, benzene is c1ccccc1 in SMILES but cccccc6 in DeepSMILES (where the 6 indicates the ring size). As a branch example, the SMILES C(Br)(OC)I can be converted to the DeepSMILES CBr)OC))I. For more information, please see the corresponding preprint.
The library is used as follows:
import deepsmiles print("DeepSMILES version: %s" % deepsmiles.__version__) converter = deepsmiles.Converter(rings=True, branches=True) print(converter) # record the options used encoded = converter.encode("c1cccc(C(=O)Cl)c1") print("Encoded: %s" % encoded) try: decoded = converter.decode(encoded) except deepsmiles.DecodeError as e: decoded = None print("DecodeError! Error message was '%s'" % e.message) if decoded: print("Decoded: %s" % decoded)
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|deepsmiles-1.0.1-py2.py3-none-any.whl (12.6 kB) Copy SHA256 hash SHA256||Wheel||py2.py3||Sep 27, 2018|
|deepsmiles-1.0.1.tar.gz (8.0 kB) Copy SHA256 hash SHA256||Source||None||Sep 27, 2018|