Artificial Neural Networks from MATLAB® in Medicinal Chemistry. Bayesian-Regularized Genetic Neural Networks (BRGNN): Application to the Prediction of the Antagonistic Activity Against Human Platelet Thrombin Receptor (PAR-1)

Publisher： Bentham Science Publishers

E-ISSN： 1873-4294|8|18|1580-1605

ISSN： 1568-0266

Source： Current Topics in Medicinal Chemistry, Vol.8, Iss.18, 2008-12, pp. : 1580-1605

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Application of Artificial Neural Networks for the Prediction of Antitumor Activity of a Series of Acridinone Derivatives

By  

Medicinal Chemistry, Vol. 8, Iss. 3, 2012-05 ,pp. : 309-319

Bentham Science Publishers

Access to resources Recommend Favorite

Prediction of Thrombin and Factor Xa Inhibitory Activity with Associative Neural Networks

By  

Current Computer - Aided Drug Design, Vol. 10, Iss. 3, 2015-03 ,pp. : 259-265

Bentham Science Publishers

Access to resources Recommend Favorite

Artificial Neural Networks for Efficient Clustering of Conformational Ensembles and their Potential for Medicinal Chemistry

By  

Current Topics in Medicinal Chemistry, Vol. 13, Iss. 5, 2013-03 ,pp. : 642-651

Bentham Science Publishers

Access to resources Recommend Favorite

Prediction of Dissolution Profiles of Acetaminophen Beads Using Artificial Neural Networks

By Peng Yingxu   Geraldrajan Maria   Chen Quanmin   Sun Yichun   Johnson James   Shukla Atul  

Pharmaceutical Development and Technology, Vol. 11, Iss. 3, 2006-09 ,pp. : 337-349

Informa Healthcare

Access to resources Recommend Favorite

Prediction of Cell-Penetrating Peptides Using Artificial Neural Networks

By  

Current Computer - Aided Drug Design, Vol. 6, Iss. 2, 2010-06 ,pp. : 79-89

Bentham Science Publishers

Access to resources Recommend Favorite