Beispiel #1
0
 def testAddConformersFromGromosTrajectory(self):
   mol = Chem.MolFromSmiles('CCC')
   rdbase = os.environ['RDBASE']
   fName = os.path.join(rdbase, 'Code', 'GraphMol', 'test_data', 'water_coords.trc')
   traj = Trajectory(3, mol.GetNumAtoms())
   ReadGromosTrajectory(fName, traj)
   self.assertEqual(len(traj), 1)
   for i in range(2):
     traj.AddConformersToMol(mol)
     self.assertEqual(mol.GetNumConformers(), i + 1)
     self.assertEqual(mol.GetConformer(i).GetNumAtoms(), 3)
     self.assertAlmostEqual(mol.GetConformer(i).GetAtomPosition(0).x, 1.941767)
     self.assertAlmostEqual(mol.GetConformer(i).GetAtomPosition(2).z, -4.088006)
   mol.RemoveAllConformers()
   e = False
   try:
     traj.AddConformersToMol(mol, 1)
   except:
     e = True
   self.assertTrue(e)
   self.assertEqual(mol.GetNumConformers(), 0)
   fName = os.path.join(rdbase, 'Code', 'GraphMol', 'test_data', 'water_coords2.trc')
   traj = Trajectory(3, mol.GetNumAtoms())
   ReadGromosTrajectory(fName, traj)
   self.assertEqual(len(traj), 2)
   traj.AddConformersToMol(mol)
   self.assertEqual(mol.GetNumConformers(), 2)
   mol.RemoveAllConformers()
   traj.AddConformersToMol(mol, 0, 0)
   self.assertEqual(mol.GetNumConformers(), 1)
   traj.AddConformersToMol(mol, 1)
   self.assertEqual(mol.GetNumConformers(), 2)
Beispiel #2
0
 def testAddConformersFromTrajectory(self):
   molBlock = \
     '\n' \
     '     RDKit          3D\n' \
     '\n' \
     ' 71 74  0  0  0  0  0  0  0  0999 V2000\n' \
     '    8.2543    3.1901   -0.3005 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    7.4558    1.9712    0.0938 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    7.3934    1.0441   -0.9483 O   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    6.6660   -0.0533   -0.4641 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    5.1928    0.2346   -0.4609 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    4.3713   -0.9410   -0.5770 N   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    3.1852   -1.0034   -1.2291 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    2.2914    0.1276   -1.6316 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    0.9308   -0.4468   -1.9908 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    0.1417   -0.7821   -0.7545 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -0.1848    0.3695    0.0456 N   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -1.5661    0.7686   -0.0745 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -2.4768   -0.0640    0.8206 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -3.8874    0.1143    0.3941 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -4.6333   -0.9984    0.0264 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -6.0127   -0.9516   -0.0400 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -6.7062    0.1599    0.3963 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -8.0408    0.4828   -0.1977 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -7.7914    1.1180   -1.5591 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -8.7622    1.4403    0.7265 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -8.8409   -0.7397   -0.4395 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -8.9121   -1.6637    0.4258 O   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -9.7414   -0.7636   -1.5059 O   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -5.9736    1.2357    0.8565 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -4.5843    1.2252    0.8530 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    0.6263    1.4884   -0.3942 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    2.0541    1.0258   -0.4230 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    2.9225   -2.3317   -1.2963 N   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    3.6061   -2.9745   -0.3180 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    3.3554   -4.1536    0.3735 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    3.7653   -4.2712    1.6948 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    4.8254   -3.4613    2.0796 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    5.1978   -2.3436    1.3419 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    4.5694   -2.0799    0.1305 C   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    9.3138    3.1372    0.0031 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    7.8117    4.0754    0.1798 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    8.2358    3.3535   -1.4074 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    6.4027    2.2146    0.3634 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    7.9270    1.5444    1.0040 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    7.0677   -0.2415    0.5615 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    6.9530   -0.9105   -1.1025 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    4.9578    0.7259    0.5137 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    4.9985    0.9430   -1.3033 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    2.7171    0.7264   -2.4494 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    0.3994    0.2339   -2.6810 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    1.1342   -1.4171   -2.5076 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -0.7632   -1.3370   -1.0391 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    0.7845   -1.4394   -0.1311 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    0.0125    0.1989    1.0673 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -1.6672    1.8215    0.2925 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -1.8705    0.7271   -1.1337 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -2.3045    0.3159    1.8590 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -2.1980   -1.1367    0.7635 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -4.1513   -1.9468   -0.2114 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -6.6138   -1.7460   -0.4718 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -7.0727    0.4399   -2.0858 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -7.3144    2.1076   -1.4482 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -8.7609    1.1720   -2.1135 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -8.3137    2.4504    0.5729 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -8.6170    1.0817    1.7580 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -9.8244    1.4444    0.4200 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -6.4629    2.0541    1.3719 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '   -4.0445    2.0563    1.3058 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    0.3329    1.8224   -1.3991 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    0.4920    2.3164    0.3160 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    2.2025    0.3766    0.4766 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    2.7945    1.8369   -0.3969 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    2.4404   -4.6964    0.1303 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    3.3157   -5.0055    2.3587 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    5.4272   -3.7654    2.9380 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '    5.5668   -1.5069    1.9380 H   0  0  0  0  0  0  0  0  0  0  0  0\n' \
     '  1  2  1  0\n' \
     '  2  3  1  0\n' \
     '  3  4  1  0\n' \
     '  4  5  1  0\n' \
     '  5  6  1  0\n' \
     '  6  7  1  0\n' \
     '  7  8  1  0\n' \
     '  8  9  1  0\n' \
     '  9 10  1  0\n' \
     ' 10 11  1  0\n' \
     ' 11 12  1  0\n' \
     ' 12 13  1  0\n' \
     ' 13 14  1  0\n' \
     ' 14 15  2  0\n' \
     ' 15 16  1  0\n' \
     ' 16 17  2  0\n' \
     ' 17 18  1  0\n' \
     ' 18 19  1  0\n' \
     ' 18 20  1  0\n' \
     ' 18 21  1  0\n' \
     ' 21 22  2  0\n' \
     ' 21 23  1  0\n' \
     ' 17 24  1  0\n' \
     ' 24 25  2  0\n' \
     ' 11 26  1  0\n' \
     ' 26 27  1  0\n' \
     '  7 28  2  0\n' \
     ' 28 29  1  0\n' \
     ' 29 30  2  0\n' \
     ' 30 31  1  0\n' \
     ' 31 32  2  0\n' \
     ' 32 33  1  0\n' \
     ' 33 34  2  0\n' \
     ' 34  6  1  0\n' \
     ' 27  8  1  0\n' \
     ' 34 29  1  0\n' \
     ' 25 14  1  0\n' \
     '  1 35  1  0\n' \
     '  1 36  1  0\n' \
     '  1 37  1  0\n' \
     '  2 38  1  0\n' \
     '  2 39  1  0\n' \
     '  4 40  1  0\n' \
     '  4 41  1  0\n' \
     '  5 42  1  0\n' \
     '  5 43  1  0\n' \
     '  8 44  1  0\n' \
     '  9 45  1  0\n' \
     '  9 46  1  0\n' \
     ' 10 47  1  0\n' \
     ' 10 48  1  0\n' \
     ' 11 49  1  0\n' \
     ' 12 50  1  0\n' \
     ' 12 51  1  0\n' \
     ' 13 52  1  0\n' \
     ' 13 53  1  0\n' \
     ' 15 54  1  0\n' \
     ' 16 55  1  0\n' \
     ' 19 56  1  0\n' \
     ' 19 57  1  0\n' \
     ' 19 58  1  0\n' \
     ' 20 59  1  0\n' \
     ' 20 60  1  0\n' \
     ' 20 61  1  0\n' \
     ' 24 62  1  0\n' \
     ' 25 63  1  0\n' \
     ' 26 64  1  0\n' \
     ' 26 65  1  0\n' \
     ' 27 66  1  0\n' \
     ' 27 67  1  0\n' \
     ' 30 68  1  0\n' \
     ' 31 69  1  0\n' \
     ' 32 70  1  0\n' \
     ' 33 71  1  0\n' \
     'M  CHG  2  11   1  23  -1\n' \
     'M  END\n'
   mol = Chem.MolFromMolBlock(molBlock, removeHs=False)
   everySteps = 10
   maxIts = 1000
   gradTol = 0.01
   rdbase = os.environ['RDBASE']
   fName = os.path.join(rdbase, 'Code', 'GraphMol', 'Wrap', 'test_data',
                        'bilastine_trajectory.sdf')
   w = Chem.SDWriter(fName)
   field = ChemicalForceFields.MMFFGetMoleculeForceField(
     mol, ChemicalForceFields.MMFFGetMoleculeProperties(mol))
   (res, sv) = field.MinimizeTrajectory(everySteps, maxIts, gradTol)
   self.assertEqual(res, 0)
   traj = Trajectory(3, mol.GetNumAtoms(), sv)
   mol.RemoveConformer(0)
   traj.AddConformersToMol(mol)
   for nConf in range(mol.GetNumConformers()):
     mol.SetProp('ENERGY', '{0:.4f}'.format(traj.GetSnapshot(nConf).GetEnergy()))
     w.write(mol, nConf)
   w.close()
   traj.Clear()
   n1 = mol.GetNumConformers()
   traj.AddConformersToMol(mol)
   n2 = mol.GetNumConformers()
   self.assertEqual(n1, n2)
   # GetSnapshot should raise exception after Clear()
   e = False
   try:
     traj.GetSnapshot(0)
   except:
     e = True
   self.assertTrue(e)