Package with an application to generate report on potential drug targets
Project description
TargetDB
TargetDB is a tool to quickly querry multiple publicly available databases and provide an integrated view of the information available about potential targets. A quick binding pocket search is also performed (using fpocket
).
Installation
Python package installation
Pip installation
pip install targetDB
Python compatibility
python version >= 3.4
Preferred python distribution : Anaconda 3
Database files installation
This package relies on the use of sqlite database to properly function.
Required database
- targetDB
You can download a copy of the database HERE
This database contains all of the human genome genes that have a uniprot ID
System compatibility
- Linux
- Windows
- Mac (not tested)
Usage
targetDB package provides a user interface to use the tool: targetDB
targetDB
When using targetDB
for the first time you will be asked to enter information about:
- targetDB sqlite database file
- path to save list output files
- path to save detailed target output files
- email address (used for pubmed searches if none provided no pubmed search will be run)
Those informations will be stored in ~/.targetdb/config.ini
Once created it will automatically start the main user interface (as seen below)
Instructions to create a targetDB database from scratch
System compatibility
- Linux
Database creation
The list of required databases is :
- ChEMBL v24
ChEMBL sqlite database can be directly downloaded HERE
This mode will generate a targetDB database that can then be used in report mode
Other dependencies for the database creation mode
blast
This mode use blast locally to perform similarity search and sequence alignments
information to download and install blast locally can be found HERE
fpocket
In order to perform binding pocket searches and assess their druggability the program fpocket is used
Vincent Le Guilloux, Peter Schmidtke and Pierre Tuffery, "Fpocket: An open source platform for ligand pocket detection", BMC Bioinformatics, 2009, 10:168
Peter Schmidtke, Xavier Barril "Understanding and Predicting Druggability. A High-Throughput Method for Detection of Drug Binding Sites", J. Med. Chem., 2010, 53 (15), pp 5858–5867
instructions to download and install fpocket can be found HERE
Current version of targetDB works with fpocket3
targetDB will not be able to perform pocket search on windows as fpocket is not available on windows platform
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