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Fast and efficient 3D pharmacophore search developed by the Camacho Lab (http://smoothdock.ccbb.pitt.edu) at the University of Pittsburgh. Source code is available through the svn repository.
Open3DQSAR is a free, open-source tool written in C aimed at pharmacophore exploration by high-throughput chemometric analysis of molecular interaction fields (MIFs).
The purpose of this program is to verify the ability of the QSAR/Pharmacophore model to
distinguish significantly between the two classes (i.e. active and inactive molecules). It
is based on calculation of different qualitative validation parameters such as sensitivity,
specificity, precision, accuracy, and F-measure.
CDL provides a generic C++ framework to write algorithms for the calculation of molecular descriptors. CDL provides efficient substructure search, fingerprints and pharmacophore algorithms, and many more for the calculation molecular descriptors.
Tools to build molecular-docking activity prediction models by PLS regression with iterative training and pose-selection. Descriptors include (i) docking score(s), (ii) pharmacophore features, (iii) multi-feature descriptors learned by decision trees.