Introduction

mordred

molecular descriptor calculator.

Installation

conda(recommended)

1. install conda

   • miniconda
   • anaconda

2. install mordred

   $ conda install -c rdkit -c mordred-descriptor mordred
   

pip

1. install rdkit python package

2. install mordred

   $ pip install mordred
   

examples

as command

usage: python -m mordred [-h] [--version] [-t {auto,sdf,mol,smi}] [-o OUTPUT]
                         [-p PROCESSES] [-q] [-s] [-d DESC] [-3] [-v]
                         INPUT [INPUT ...]

positional arguments:
  INPUT

optional arguments:
  -h, --help            show this help message and exit
  --version             input molecular file
  -t {auto,sdf,mol,smi}, --type {auto,sdf,mol,smi}
                        input filetype (default: auto)
  -o OUTPUT, --output OUTPUT
                        output file path (default: stdout)
  -p PROCESSES, --processes PROCESSES
                        number of processes (default: number of logical
                        processors)
  -q, --quiet           hide progress bar
  -s, --stream          stream read
  -d DESC, --descriptor DESC
                        descriptors to calculate (default: all)
  -3, --3D              use 3D descriptors (require sdf or mol file)
  -v, --verbosity       verbosity

descriptors: ABCIndex AcidBase AdjacencyMatrix Aromatic AtomCount
Autocorrelation BalabanJ BaryszMatrix BCUT BertzCT BondCount CarbonTypes Chi
Constitutional CPSA DetourMatrix DistanceMatrix EccentricConnectivityIndex
EState ExtendedTopochemicalAtom FragmentComplexity Framework GeometricalIndex
GravitationalIndex HydrogenBond InformationContent KappaShapeIndex Lipinski
McGowanVolume MoeType MolecularDistanceEdge MolecularId MomentOfInertia MoRSE
PathCount Polarizability RingCount RotatableBond SLogP TopologicalCharge
TopologicalIndex TopoPSA VdwVolumeABC VertexAdjacencyInformation WalkCount
Weight WienerIndex ZagrebIndex

as library

>>> from rdkit import Chem
>>> from mordred import Calculator, descriptors

# create descriptor calculator with all descriptors
>>> calc = Calculator(descriptors, ignore_3D=True)

>>> len(calc.descriptors)
1612

# calculate single molecule
>>> mol = Chem.MolFromSmiles('c1ccccc1')
>>> calc(mol)[:3]
[4.242640687119286, 3.9999999999999996, 0]

# calculate multiple molecule
>>> mols = [Chem.MolFromSmiles(smi) for smi in ['c1ccccc1Cl', 'c1ccccc1O', 'c1ccccc1N']]

# as pandas
>>> df = calc.pandas(mols)
>>> df['SLogP']
0    2.3400
1    1.3922
2    1.2688
Name: SLogP, dtype: float64

Documentation

• master
• v0.3.0
• v0.2.1
• v0.2.0
• v0.1.0