Dear Greg

To inform you that on our web server
http://www.ambinter.com
approx 11 million chemicals have now the descriptors
calculated by RDkit

On the first page "Click here to search the Chemical Database"
On the next page is written
The Ambinter database uses ChemAxon software. All descriptors (Mass, LogP,
TPSA, Hacc, Hdon, Rotatable Bonds) have been calculated using RDKit; open
source software developed by Greg Landrum.

Go further and you will find the descriptors

Questions

- I have difficulties to use your cluster scripts
and found 2 scripts below
My idea is to search structures with the help of the descriptors
Regarding how I set the cut, I do not see
any correlation beetween the display and the
print hc.cut(0.25)

The database includes the fingerprints
perhaps it would be better to use your scripts


- the display of the structures with SDFview
is not so good
Could you display the structures as Jchem ?

Best Regards

Christian de Bouillé
Ambinter SARL
50 avenue de Versailles
75016 Paris
[email protected]
tél: 014524 4860
fax: 014524 6241
http://www.ambinter.com (5 millions de structures chimiques, accès libre)

<<<<<<<<<<<<<<

> import numpy as np
> from hcluster import *
> import mlpy
> import pylab
>
> x = np.array([[ 1. ,  1.5],
>               [ 1.1,  1.8],
>               [ 2. ,  2.8],
>               [ 3.2,  3.1],
>               [ 3.4,  3.2]])
> hc = mlpy.HCluster()
> hc.compute(x)
> print hc.ia
>
> print hc.ib
>
> print hc.heights
>
> print hc.cut(0.25)
>
>
> Y = pdist(x,'seuclidean')
> Z = linkage(Y, method='average')
> #dendrogram(Z, color_threshold=0.75, truncate_mode='level', p=10,
> show_contracted=True)
> # lastp  0.75
> dendrogram(Z, p=5, truncate_mode='lastp', color_threshold=2.75,
>                get_leaves=True, orientation='top', labels=None,
>                count_sort=False, distance_sort=False,
> show_leaf_counts=True,
>                no_plot=False, no_labels=False, color_list=None,
>                leaf_font_size=None, leaf_rotation=None,
> leaf_label_func=None,
>                no_leaves=False, show_contracted=False,
>                link_color_func=None)
>
>
> pylab.show()
>



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