In silico classification of adenosine receptor antagonists using Laplacian-modified naïve Bayesian, support vector machine, and recursive partitioning-Reference-Cited by-同舟云学术

In silico classification of adenosine receptor antagonists using Laplacian-modified naïve Bayesian, support vector machine, and recursive partitioning

Published:2010-06 Issue:8 Volume:28 Page:883-890
ISSN:1093-3263
Container-title:Journal of Molecular Graphics and Modelling
language:en
Short-container-title:Journal of Molecular Graphics and Modelling

Author:

Lee Jin Hee,Lee Sunkyung,Choi Sun

Publisher

Elsevier BV

Subject

Materials Chemistry,Computer Graphics and Computer-Aided Design,Physical and Theoretical Chemistry,Spectroscopy

Reference28 articles.

1. Adenosine receptors as therapeutic targets;Jacobson;Nat. Rev. Drug Discov.,2006

2. Progress in the pursuit of therapeutic adenosine receptor antagonists;Moro;Med. Res. Rev.,2006

3. Pharmacology and therapeutic applications of A1 adenosine receptor ligands;Dhalla;Curr. Top. Med. Chem.,2003

4. Medicinal chemistry of adenosine A1 receptor ligands;Soudijn;Curr. Top. Med. Chem.,2003

5. Adenosine A2A and dopamine D-2 heteromeric receptor complexes and their function;Fuxe;J. Mol. Neurosci.,2005

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