Modeling of acetylcholinesterase inhibition by tacrine analogues using Bayesian-regularized Genetic Neural Networks and ensemble averaging

Acetylcholinesterase inhibition was modeled for a set of 136 tacrine analogues using Bayesian-regularized Genetic Neural Networks (BRGNNs). In the BRGNN approach the Bayesian-regularization avoids overtraining/overfitting and the genetic algorithm (GA) allows exploring an ample pool of 3D-descriptor...

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Bibliographic Details
Main Author: Fernandez, Michael (author)
Other Authors: Carreiras, M. Carmo (author), Marco, Jose L. (author), Caballero, Julio (author)
Format: article
Language:eng
Published: 2015
Subjects:
Biochemistry & Molecular Biology
Chemistry, Medicinal
Online Access:http://hdl.handle.net/10451/21384
Country:Portugal
Oai:oai:repositorio.ul.pt:10451/21384

Internet

http://hdl.handle.net/10451/21384

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