Title of article :
Design, synthesis, and evaluation of potential inhibitors of nitric oxide synthase Original Research Article
Author/Authors :
Tania Casta?o، نويسنده , , Arantxa Encinas، نويسنده , , Concepci?n Pérez، نويسنده , , Ana Castro، نويسنده , , Nuria E. Campillo، نويسنده , , Carmen Gil، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Pages :
14
From page :
6193
To page :
6206
Abstract :
Selective inhibitors of neuronal nitric oxide synthase (nNOS) were shown to protect brain and may be useful in the treatment of neurodegenerative diseases. In this context, our purpose has been to design and synthesize a new family of derivatives of thiadiazoles as possible inhibitors of nNOS. To achieve it a supervised artificial neural network model has been developed for the prediction of inhibition of Nitric Oxide Synthase using a dataset of 119 nNOS inhibitors. The definition of the molecules was achieved from a not-supervised neural network using a home made program named CODES. Also, thiadiazole-based heterocycles, previously predicted, were prepared as conformationally restricted analogues of a selective nNOS inhibitor, S-ethyl N-phenylisothiourea.
Keywords :
NOS , Codes , QSAR , Thiadiazole , Artificial neural network
Journal title :
Bioorganic and Medicinal Chemistry
Serial Year :
2008
Journal title :
Bioorganic and Medicinal Chemistry
Record number :
1304424
Link To Document :
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