ChEMBLdb interface for Python
Project description
pychembldb is a Python interface for ChEMBLdb
Requirements
Python 2.7 or later (not support 3.x)
MySQL-python >= 1.2.4
SQLAlchemy >= 0.8.0b2
ChEMBLdb
pychembldb-0.1.x support chembl_14
pychembldb-0.2.x support chembl_15
Setup
Install
pip install pychembldb
or install from github
git clone https://github.com/kzfm/pychembldb.git cd pychembldb sudo python setup.py install
Setting up engine_url
if you change engine_url, you should set CHEMBL_URI environment variable (default:mysql://root@localhost/chembl_14)
Basic Usage
from pychembldb import * for target in chembldb.query(Target).filter_by(pref_name="Tyrosine-protein kinase ABL"): for assay in target.assays: for activity in assay.activities: print activity.published_value, activity.compound.molecule.structure.standard_inchi_key
Examples
filter activities and compound structures by Target(Protein).
from pychembldb import * for target in chembldb.query(Target).filter_by(pref_name="Tyrosine-protein kinase ABL"): for assay in target.assays: for activity in assay.activities: print activity.published_value, activity.compound.molecule.structure.standard_inchi_key
Search activities and compound structures from Journal-ID(doi).
for journal in chembldb.query(Doc).filter_by(doi="10.1016/S0960-894X(01)80693-4"): for assay in journal.assays: for activity in assay.activities: print activity.published_value, activity.compound.molecule.structure.standard_inchi_key
Get SMILES from Molecule synonyms.
chembldb.query(MoleculeSynonym).filter_by(synonyms="Gleevec").first().molecule.structure.canonical_smiles # 'CN1CCN(Cc2ccc(cc2)C(=O)Nc3ccc(C)c(Nc4nccc(n4)c5cccnc5)c3)CC1'
Count the number of MedChem Friendly Compounds.
chembldb.query(CompoundProperty).filter_by(med_chem_friendly='Y').count()
See also.
History
0.2.0 (2013-02-03)
Support ChEMBLdb 15
0.1.1 (2013-01-29)
Several bug fixes
Add synonyms relation
0.1 (2013-01-29)
first release
Project details
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