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Contains an implementation of Atom-pair fingerprints, as described in: R.E. Carhart, D.H. Smith, R. Venkataraghavan; "Atom Pairs as Molecular Features in Structure-Activity Studies: Definition and Applications" JCICS 25, 64-73 (1985). The fingerprints can be accessed through the following functions: - GetAtomPairFingerprint - GetHashedAtomPairFingerprint (identical to GetAtomPairFingerprint) - GetAtomPairFingerprintAsIntVect - GetAtomPairFingerprintAsBitVect
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numPathBits = 5
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_maxPathLen = 31
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numFpBits = 23
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fpLen = 8388608
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__package__ =
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Imports: DataStructs, rdMolDescriptors, Utils, GetAtomPairFingerprint, GetHashedAtomPairFingerprint, GetAtomPairFingerprintAsIntVect
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Returns a score for an individual atom pair.
>>> from rdkit import Chem
>>> m = Chem.MolFromSmiles('CCCCC')
>>> c1 = Utils.GetAtomCode(m.GetAtomWithIdx(0))
>>> c2 = Utils.GetAtomCode(m.GetAtomWithIdx(1))
>>> c3 = Utils.GetAtomCode(m.GetAtomWithIdx(2))
>>> t = 1 | min(c1,c2)<<numPathBits | max(c1,c2)<<(rdMolDescriptors.AtomPairsParameters.codeSize+numPathBits)
>>> pyScorePair(m.GetAtomWithIdx(0),m.GetAtomWithIdx(1),1)==t
1
>>> pyScorePair(m.GetAtomWithIdx(1),m.GetAtomWithIdx(0),1)==t
1
>>> t = 2 | min(c1,c3)<<numPathBits | max(c1,c3)<<(rdMolDescriptors.AtomPairsParameters.codeSize+numPathBits)
>>> pyScorePair(m.GetAtomWithIdx(0),m.GetAtomWithIdx(2),2)==t
1
>>> pyScorePair(m.GetAtomWithIdx(0),m.GetAtomWithIdx(2),2,
... atomCodes=(Utils.GetAtomCode(m.GetAtomWithIdx(0)),Utils.GetAtomCode(m.GetAtomWithIdx(2))))==t
1
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>>> from rdkit import Chem
>>> m = Chem.MolFromSmiles('C=CC')
>>> score = pyScorePair(m.GetAtomWithIdx(0),m.GetAtomWithIdx(1),1)
>>> ExplainPairScore(score)
(('C', 1, 1), 1, ('C', 2, 1))
>>> score = pyScorePair(m.GetAtomWithIdx(0),m.GetAtomWithIdx(2),2)
>>> ExplainPairScore(score)
(('C', 1, 0), 2, ('C', 1, 1))
>>> score = pyScorePair(m.GetAtomWithIdx(1),m.GetAtomWithIdx(2),1)
>>> ExplainPairScore(score)
(('C', 1, 0), 1, ('C', 2, 1))
>>> score = pyScorePair(m.GetAtomWithIdx(2),m.GetAtomWithIdx(1),1)
>>> ExplainPairScore(score)
(('C', 1, 0), 1, ('C', 2, 1))
We can optionally deal with chirality too
>>> m = Chem.MolFromSmiles('C[C@H](F)Cl')
>>> score = pyScorePair(m.GetAtomWithIdx(0),m.GetAtomWithIdx(1),1)
>>> ExplainPairScore(score)
(('C', 1, 0), 1, ('C', 3, 0))
>>> score = pyScorePair(m.GetAtomWithIdx(0),m.GetAtomWithIdx(1),1,includeChirality=True)
>>> ExplainPairScore(score,includeChirality=True)
(('C', 1, 0, ''), 1, ('C', 3, 0, 'R'))
>>> m = Chem.MolFromSmiles('F[C@@H](Cl)[C@H](F)Cl')
>>> score = pyScorePair(m.GetAtomWithIdx(1),m.GetAtomWithIdx(3),1,includeChirality=True)
>>> ExplainPairScore(score,includeChirality=True)
(('C', 3, 0, 'R'), 1, ('C', 3, 0, 'S'))
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Returns the Atom-pair fingerprint for a molecule as
a SparseBitVect. Note that this doesn't match the standard
definition of atom pairs, which uses counts of the
pairs, not just their presence.
**Arguments**:
- mol: a molecule
**Returns**: a SparseBitVect
>>> from rdkit import Chem
>>> m = Chem.MolFromSmiles('CCC')
>>> v = [ pyScorePair(m.GetAtomWithIdx(0),m.GetAtomWithIdx(1),1),
... pyScorePair(m.GetAtomWithIdx(0),m.GetAtomWithIdx(2),2),
... ]
>>> v.sort()
>>> fp = GetAtomPairFingerprintAsBitVect(m)
>>> list(fp.GetOnBits())==v
True
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