posted on 2013-10-16, 00:00authored byNerea Alonso, Olga Caamaño, Francisco J. Romero-Duran, Feng Luan, M. Natália D. S. Cordeiro, Matilde Yañez, Humberto González-Díaz, Xerardo García-Mera
The disappointing results obtained
in recent clinical trials renew
the interest in experimental/computational techniques for the discovery
of neuroprotective drugs. In this context, multitarget or multiplexing
QSAR models (mt-QSAR/mx-QSAR) may help to predict neurotoxicity/neuroprotective
effects of drugs in multiple assays, on drug targets, and in model
organisms. In this work, we study a data set downloaded from CHEMBL;
each data point (>8000) contains the values of one out of 37 possible
measures of activity, 493 assays, 169 molecular or cellular targets,
and 11 different organisms (including human) for a given compound.
In this work, we introduce the first mx-QSAR model for neurotoxicity/neuroprotective
effects of drugs based on the MARCH-INSIDE (MI) method. First, we
used MI to calculate the stochastic spectral moments (structural descriptors)
of all compounds. Next, we found a model that classified correctly
2955 out of 3548 total cases in the training and validation series
with Accuracy, Sensitivity, and Specificity values > 80%. The model
also showed excellent results in Computational-Chemistry simulations
of High-Throughput Screening (CCHTS) experiments, with accuracy =
90.6% for 4671 positive cases. Next, we reported the synthesis, characterization,
and experimental assays of new rasagiline derivatives. We carried
out three different experimental tests: assay (1) in the absence of
neurotoxic agents, assay (2) in the presence of glutamate, and assay
(3) in the presence of H2O2. Compounds 11 with 27.4%, 8 with 11.6%, and 9 with 15.4% showed the highest neuroprotective effects in assays
(1), (2), and (3), respectively. After that, we used the mx-QSAR model
to carry out a CCHTS of the new compounds in >400 unique pharmacological
tests not carried out experimentally. Consequently, this model may
become a promising auxiliary tool for the discovery of new drugs for
the treatment of neurodegenerative diseases.