# chemdescriptor - Molecular descriptor generator
Generic molecular descriptor generator wrapper around various software packages to simplify the process of getting descriptors
## To install
Type:
```git clone https://github.com/darkreactions/chemdescriptor```
```cd chemdescriptor```
```git checkout cxcalc_rewrite```
```pip install .```
## Requirements
1. Pandas
2. ChemAxon descriptors
- Working copy of ChemAxon cxcalc
3. RDKit descriptors
- RDKit installed
## Usage
Currently only supports ChemAxon cxcalc and RDKit. The module can be expanded to cover other generators as well.
Example input files can be found in the examples/ folder of this repo as well as the pip installed package.
### CXCalc
**Important! The code requires an environment variable CXCALC_PATH to be set, which points to the folder where cxcalc is installed!**
### Command Line
```
chemdescriptor-cx -m /path/to/SMILES/file -d /path/to/descriptor/whitelist/json -p 6.8 7.0 7.2 -o output.csv
```
```
usage: chemdescriptor-cx [-h] -m MOLECULE -d DESCRIPTORS -p PH [PH ...]
[-c COMMANDS] -o OUTPUT
optional arguments:
-h, --help show this help message and exit
-m MOLECULE, --molecule MOLECULE
Path to input SMILES file
-d DESCRIPTORS, --descriptors DESCRIPTORS
Path to descriptor white list json file
-p PH [PH ...], --pH PH [PH ...]
List of pH values at which to calculate descriptors
-c COMMANDS, --commands COMMANDS
Optional command stems for descriptors in json format
-o OUTPUT, --output OUTPUT
Path to output file
```
### In code
The package will initially search cxcalc executable in the PATH variable if not
will fall back to CXCALC_PATH
Set CXCALC_PATH
```
import os
os.environ['CXCALC_PATH'] = '/path/to/cxcalc'
```
Import the generator class
``` from chemdescriptor.generator.chemaxon import ChemAxonDescriptorGenerator as CAG```
Import SMILES and whitelist
```
with open('/path/to/SMILES/file', 'r') as f:
smiles_list = f.read().splitlines()
with open('/path/to/descriptor/whitelist/json', 'r') as f:
whitelist = json.load(f)
```
Instantiate a generator. ```smiles_list``` is a list of smiles and ```whitelist```
is a dictionary of keys in the command_dict
```logfile``` is the path to a log which contains information such as the final cxcalc
command, columns that were renamed and other errors for debugging
Chemaxon standardize command can be used to remove small fragments in the smiles_list
Set standardize=True and also set STANDARDIZE_PATH
`os.environ['STANDARDIZE_PATH'] = '/path/to/standardize'`
```
cag = CAG(smiles_list,
whitelist,
ph_values=[6, 7, 8],
command_dict={},
logfile='/path/to/logfile',
standardize=True)
```
Generate csv output
``` cag.generate('output.csv', dataframe=False, lec=False) ```
Optional keyword arguments for `generate` include `dataframe` boolean (default False) which returns a pandas dataframe in addition to writing a csv if True
and `lec` boolean (default False) which converts the Smiles code to an intermediate "Low Energy Conformer (LEC)" representation before generating descriptors.
A license is most likely required to generate LECs.
## Notes:
Descriptor whitelist is a python dictionary of the form:
```
{
"descriptors": [
"refractivity",
"maximalprojectionarea",
"maximalprojectionradius",
"maximalprojectionsize",
"minimalprojectionarea",
"minimalprojectionradius",
"minimalprojectionsize"
],
"ph_descriptors": [
"avgpol",
"molpol",
"vanderwaals",
"asa",
"asa+",
"asa-",
"asa_hydrophobic",
"asa_polar",
"hbda_acc",
"hbda_don",
"polar_surface_area"
]
}
```
chemdescriptor expects 2 keys in the whitelist where "descriptors" are generic and "ph_descriptors" are ph dependent descriptors
An **optional** dictionary can be passed to the ChemAxonDescriptorGenerator, "command_dict" which
"translates" the above descriptor names into commands that ChemAxon cxcalc can understand.
It also consists of column names that will be added to the final output.
**Note:** If the command_dict is not given or is empty, a default command dict is used whose definition is [here](https://github.com/darkreactions/chemdescriptor/blob/cxcalc_rewrite/chemdescriptor/defaults/cxcalc.py)
An example of a command_dict is:
```
command_dict = {
"descriptors": {
"atomcount_c": {
"command": [
"atomcount",
"-z",
"6"
],
"column_names": [
"_feat_AtomCount_C"
]
},
"wateraccessiblesurfacearea": {
"command": [
"wateraccessiblesurfacearea"
],
"column_names": [
"_feat_ASA",
"_feat_ASA+",
"_feat_ASA-",
"_feat_ASA_H",
"_feat_ASA_P"
]
}
"ph_descriptors": {
"acceptorcount": {
"command": [
"acceptorcount"
],
"column_names": [
"_feat_Hacceptorcount"
]
},
"donorcount": {
"command": [
"donorcount"
],
"column_names": [
"_feat_Hdonorcount"
]
}
}
```
```command_dict``` consists of 2 dictionaries with keys ```descriptors``` and
```ph_descriptors```. Within each dictionary are descriptor names referred in the whitelist.
Under each descriptor, two lists are required ```command``` and ```column_names```
Command refers to the command line options for cxcalc as documented
[here](https://docs.chemaxon.com/display/docs/cxcalc+calculator+functions)
**Note:** that commands with multiple words are entries in a list. For example, the command
```atomcount -z 6``` is represented in the dictionary as ```['atomcount', '-z', '6']```
```column_names``` is a list of names the user wants to rename the cxcalc generated
csv column names.
Certain commands generate multiple columns for example, ```wateraccessiblesurfacearea```
generates 5 columns. Therefore, the ```column_names``` list becomes
```
"column_names": [
"_feat_ASA",
"_feat_ASA+",
"_feat_ASA-",
"_feat_ASA_H",
"_feat_ASA_P"
]
```
**Note** : If the number of columns generated by cxcalc do not match the expected count,
none of the column names are renamed.
### RDKit
Much easier to use. Only needs a list of descriptors similar to cxcalc.
# To Do
[ ] Test on different machines
[ ] Get feedback on what needs to be changed/improved
[ ] Expand to cover other descriptor generators