In this weekend, I played molecular design toolkit.
This is very nice open source tool kit for pythonist I think. At first, I tried to install the TK in OSx directly, but I had some trouble to run the code. So I installed my linux virtual PC. It is not so difficult to install molecular design TK in linux environment.
At frist mdt can install by using pip.
pip install moldesign
And next, I installed some packages by using conda.
I recommend to install pyscf ( quantum chemistry package for python ) by using conda. Because I had some troubles when I build pyscf from source code.
conda install -c moldesign nbmolviz conda install -c conda-forge widgetsnbextension conda install -c pyqc pyscf conda install -c omnia openmm conda install -c omnia pdbfixer
And also I installed openbabel by apt-get.
apt-get install openbabel python-openbabel
OK, Now ready!
Let’s start coding.
Today, I tried to simple example.
Read string, generate 3D, calculate orbitals and visualize it.
Following code is running on jupyter notebook. ;-)
import moldesign as mdt import moldesign.units as u import pybel # read molecule from smiles and generate 3D conf and save sdf. mol = pybel.readstring( "smi","C1=NC2=C(N1)C(=NC=N2)N" ) mol.addh() mol.make3D() mol.write("sdf",'adenine.sdf')
Read and draw
Next, calculate energy and draw molecular orbital.
mol.set_energy_model( mdt.models.RHF, basis='sto-3g') prop = mol.calculate() print( prop.keys() ) print( "Energy: ", prop['potential_energy']) ['positions', 'mulliken', 'wfn', 'potential_energy', 'dipole_moment'] ('Energy: ', <Quantity(-12479.0741253, 'eV')>) mol.draw_orbitals()
Finally, minimize it.
And draw orbitals.
mintraj = mol.minimize() Starting geometry optimization: built-in gradient descent Starting geometry optimization: SciPy/bfgs with analytical gradients Step 2/20, ΔE=-1.858e-01 eV, RMS ∇E=4.161e-01, max ∇E=1.305e+00 eV / ang Step 4/20, ΔE=-2.445e-01 eV, RMS ∇E=1.818e-01, max ∇E=6.069e-01 eV / ang Step 6/20, ΔE=-2.589e-01 eV, RMS ∇E=1.359e-01, max ∇E=4.905e-01 eV / ang Step 8/20, ΔE=-2.620e-01 eV, RMS ∇E=1.250e-01, max ∇E=5.032e-01 eV / ang Step 10/20, ΔE=-2.660e-01 eV, RMS ∇E=1.264e-01, max ∇E=3.384e-01 eV / ang Step 12/20, ΔE=-2.751e-01 eV, RMS ∇E=1.125e-01, max ∇E=2.966e-01 eV / ang Step 14/20, ΔE=-2.915e-01 eV, RMS ∇E=2.315e-01, max ∇E=5.801e-01 eV / ang Step 16/20, ΔE=-2.942e-01 eV, RMS ∇E=2.492e-01, max ∇E=6.325e-01 eV / ang Step 18/20, ΔE=-2.978e-01 eV, RMS ∇E=2.712e-01, max ∇E=7.771e-01 eV / ang Step 20/20, ΔE=-3.016e-01 eV, RMS ∇E=2.639e-01, max ∇E=7.127e-01 eV / ang Warning: Maximum number of iterations has been exceeded. Current function value: -12479.375700 Iterations: 19 Function evaluations: 26 Gradient evaluations: 26 Reduced energy from -12479.0741253 eV to -12479.3757001 eV mintraj.draw_orbitals()
Also lots of functions are implemented in molecular design tool kit.
I will play with package more and more. ;-)
Today’s code was pushed my repository.