Module rdDistGeom

EmbedMolecule( (Mol)mol [, (int)maxAttempts=0 [, (int)randomSeed=-1 [, (bool)clearConfs=True [, (bool)useRandomCoords=False [, (float)boxSizeMult=2.0 [, (bool)randNegEig=True [, (int)numZeroFail=1 [, (dict)coordMap={}]]]]]]]]) -> int :
    Use distance geometry to obtain intial 
     coordinates for a molecule
    
     
     ARGUMENTS:
    
        - mol : the molecule of interest
        - maxAttempts : the maximum number of attempts to try embedding 
        - randomSeed : provide a seed for the random number generator 
                       so that the same coordinates can be obtained 
                       for a molecule on multiple runs. The default 
                       (-1) uses a random seed 
        - clearConfs : clear all existing conformations on the molecule
        - useRandomCoords : Start the embedding from random coordinates instead of
                            using eigenvalues of the distance matrix.
        - boxSizeMult    Determines the size of the box that is used for
                         random coordinates. If this is a positive number, the 
                         side length will equal the largest element of the distance
                         matrix times boxSizeMult. If this is a negative number,
                         the side length will equal -boxSizeMult (i.e. independent
                         of the elements of the distance matrix).
        - randNegEig : If the embedding yields a negative eigenvalue, 
                       pick coordinates that correspond 
                       to this component at random 
        - numZeroFail : fail embedding is we have this more zero eigenvalues 
    
     RETURNS:
    
        ID of the new conformation added to the molecule 
    
    

    C++ signature :
        int EmbedMolecule(RDKit::ROMol {lvalue} [,unsigned int=0 [,int=-1 [,bool=True [,bool=False [,double=2.0 [,bool=True [,unsigned int=1 [,boost::python::dict {lvalue}={}]]]]]]]])

EmbedMultipleConfs( (Mol)mol [, (int)numConfs=10 [, (int)maxAttempts=0 [, (int)randomSeed=-1 [, (bool)clearConfs=True [, (bool)useRandomCoords=False [, (float)boxSizeMult=2.0 [, (bool)randNegEig=True [, (int)numZeroFail=1 [, (float)pruneRmsThresh=-1.0 [, (dict)coordMap={}]]]]]]]]]]) -> _vecti :
    Use distance geometry to obtain multiple sets of 
     coordinates for a molecule
     
     ARGUMENTS:
    
      - mol : the molecule of interest
      - numConfs : the number of conformers to generate 
      - maxAttempts : the maximum number of attempts to try embedding 
      - randomSeed : provide a seed for the random number generator 
                     so that the same coordinates can be obtained 
                     for a molecule on multiple runs. The default 
                     (-1) uses a random seed 
      - clearConfs : clear all existing conformations on the molecule
      - useRandomCoords : Start the embedding from random coordinates instead of
                          using eigenvalues of the distance matrix.
      - boxSizeMult    Determines the size of the box that is used for
                       random coordinates. If this is a positive number, the 
                       side length will equal the largest element of the distance
                       matrix times boxSizeMult. If this is a negative number,
                       the side length will equal -boxSizeMult (i.e. independent
                       of the elements of the distance matrix).
      - randNegEig : If the embedding yields a negative eigenvalue, 
                     pick coordinates that correspond 
                     to this component at random 
      - numZeroFail : fail embedding is we have this more zero eigenvalues 
      - pruneRmsThresh : Retain only the conformations out of 'numConfs' 
                        after embedding that are at least 
                        this far apart from each other. 
              RMSD is computed on the heavy atoms. 
              Pruning is greedy; i.e. the first embedded conformation
              is retained and from then on only those that are at
              least pruneRmsThresh away from all retained conformations
              are kept. The pruning is done after embedding and 
              bounds violation minimization. No pruning by default.
     RETURNS:
    
        List of new conformation IDs 
    
    

    C++ signature :
        std::vector<int, std::allocator<int> > EmbedMultipleConfs(RDKit::ROMol {lvalue} [,unsigned int=10 [,unsigned int=0 [,int=-1 [,bool=True [,bool=False [,double=2.0 [,bool=True [,unsigned int=1 [,double=-1.0 [,boost::python::dict {lvalue}={}]]]]]]]]]])

GetMoleculeBoundsMatrix( (Mol)mol [, (bool)set15bounds=True [, (bool)scaleVDW=False]]) -> object :
    Returns the distance bounds matrix for a molecule
     
     ARGUMENTS:
    
        - mol : the molecule of interest
        - set15bounds : set bounds for 1-5 atom distances based on 
                        topology (otherwise stop at 1-4s)
        - scaleVDW : scale down the sum of VDW radii when setting the 
                     lower bounds for atoms less than 5 bonds apart 
     RETURNS:
    
        the bounds matrix as a Numeric array with lower bounds in 
        the lower triangle and upper bounds in the upper triangle
    
    

    C++ signature :
        _object* GetMoleculeBoundsMatrix(RDKit::ROMol {lvalue} [,bool=True [,bool=False]])