Current Topics in Medicinal Chemistry

Editorial [Hot Topic: Quantitative studies on Structure-Activity and Structure-Property Relationships (QSAR/QSPR) (Guest Editor: Humberto Gonzalez-Diaz)]
pp. 1554-1554(1)
Author: Gonzalez-Diaz, Humberto

Medicinal Chemistry and the Molecular Operating Environment (MOE): Application of QSAR and Molecular Docking to Drug Discovery
pp. 1555-1572(18)
Authors: Vilar, Santiago; Cozza, Giorgio; Moro, Stefano

Pharmacogenomics and Personalized Use of Drugs
pp. 1573-1579(7)
Authors: Wang, Jing-Fang; Wei, Dong-Qing; Chou, Kuo-Chen

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)
pp. 1580-1605(26)
Authors: Caballero, Julio; Fernandez, Michael

Variable Selection Methods in QSAR: An Overview
pp. 1606-1627(22)
Authors: Gonzalez, Maykel P.; Teran, Carmen; Saiz-Urra, Liane; Teijeira, Marta

Applications of 2D Descriptors in Drug Design: A DRAGON Tale
pp. 1628-1655(28)
Authors: Helguera, Aliuska M.; Combes, Robert D.; Gonzalez, Maykel P.e.r.e.z.; Cordeiro, M. Natalia D.S.

Drug Candidates from Traditional Chinese Medicines
pp. 1656-1665(10)
Authors: Wang, Jing-Fang; Wei, Dong-Qing; Chou, Kuo-Chen

Current Topics on Software Use in Medicinal Chemistry: Intellectual Property, Taxes, and Regulatory Issues
pp. 1666-1675(10)
Authors: Duardo-Sanchez, Aliuska; Patlewicz, Grace; Lopez-Diaz, Antonio

Predicting Antimicrobial Drugs and Targets with the MARCH-INSIDE Approach
pp. 1676-1690(15)
Authors: Gonzalez-Diaz, Humberto; Prado-Prado, Francisco; Ubeira, Florencio M.

Weka Machine Learning for Predicting the Phospholipidosis Inducing Potential
pp. 1691-1709(19)
Author: Ivanciuc, Ovidiu

Molecule of the Month
pp. 1710-1711(2)
Author: Hopkins, Corey R.