Key-Molecule:
the user can set the first ligand in the input to serve as a key/pivot
molecule. In this case all the other ligands are aligned onto it and
all the pharmacophore candidates include this key ligand. By default,
the algorithm iteratively selects each input ligand to serve as a
key/pivot. This molecule can be the ligand with highest affinity to
the receptor or the one with the lowest number of rotatable bonds.
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Min no. of features in pharmacophore:
the minimal number of spatially distinct features in the reported pharmacophore candidates.
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Feature weighting
options: there are four feature types currently supported
by the algorithm: (i) aromatic ring, (ii) hydrogen bond
donor/acceptor, (iii) charge (anion/cation) and (iv) hydrophobic. The
user can modify the weights of the features in the scoring function of
the algorithm. For example, if the user knows that the interaction
with the target receptor is mostly hydrophobic, he is encouraged to
increase the weight assigned to an hydrophobic feature.
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User Defined Feature:
Additional feature type can be defined by the user. A
feature file in the following format has to be prepared. Each line in
the feature file corresponds to one input molecule specified by its
filename. Next user defined features are listed separated by
semicolon. The atoms of the features are identified by their atom
number in mol2 file. In the example below, three input molecules are
assigned with user defined features. adinazolam.mol2 is
assigned with two features located on atoms number 13 and 17,
amiodarone.mol2 is assigned with two features located on atoms
number 28 and 30 and azelastine.mol2 is assigned with one
feature located on atom number 24.
adinazolam.mol2 13;17
amiodarone.mol2 28;30
azelastine.mol2 24
In addition, the user can define a feature based on a group of
atoms. In this case, the spatial 3D point associated with this feature
will be an average of the atom group coordinates. To specify a group of atoms in the feature file, just type their numbers, separated by comas. For example:
adinazolam.mol2 13,14,15;17
This defines two features, the first one is an average of atoms 13,14,15 and the second one is on atom number 17.
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