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Model for high-throughput screening of multitarget drugs in chemical neurosciences: synthesis, assay, and theoretic study of rasagiline carbamates.
- Source :
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ACS chemical neuroscience [ACS Chem Neurosci] 2013 Oct 16; Vol. 4 (10), pp. 1393-403. Date of Electronic Publication: 2013 Jul 29. - Publication Year :
- 2013
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Abstract
- 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.
- Subjects :
- Animals
Clinical Trials as Topic methods
Clinical Trials as Topic standards
Computer Simulation
Drug Delivery Systems methods
Glutamic Acid toxicity
Humans
Indans chemical synthesis
Neuroprotective Agents pharmacology
Neuroprotective Agents toxicity
Quantitative Structure-Activity Relationship
Reproducibility of Results
Sensitivity and Specificity
Spectrum Analysis
Stochastic Processes
Carbamates chemistry
High-Throughput Screening Assays methods
Indans chemistry
Subjects
Details
- Language :
- English
- ISSN :
- 1948-7193
- Volume :
- 4
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- ACS chemical neuroscience
- Publication Type :
- Academic Journal
- Accession number :
- 23855599
- Full Text :
- https://doi.org/10.1021/cn400111n