TY - JOUR
T1 - Drug Discovery and Design for Complex Diseases through QSAR Computational Methods
AU - Munteanu, Cristian R.
AU - Fernandez-Blanco, Enrique
AU - Seoane, Jose A.
AU - Izquierdo-Novo, Pilar
AU - Angel Rodriguez-Fernandez, Jose
AU - Maria Prieto-Gonzalez, Jose
AU - Rabunal, Juan R.
AU - Pazos, Alejandro
PY - 2010
Y1 - 2010
N2 - There is a need for the study of complex diseases due to their important impact on our society. One of the solutions involves the theoretical methods which are fast and efficient tools that can lead to the discovery of new active drugs specially designed for these diseases. The Quantitative Structure - Activity Relationship models (QSAR) and the complex network theory become important solutions for screening and designing efficient pharmaceuticals by coding the chemical information of the molecules into molecular descriptors. This review presents the most recent studies on drug discovery and design using QSAR of several complex diseases in the fields of Neurology, Cardiology and Oncology.
AB - There is a need for the study of complex diseases due to their important impact on our society. One of the solutions involves the theoretical methods which are fast and efficient tools that can lead to the discovery of new active drugs specially designed for these diseases. The Quantitative Structure - Activity Relationship models (QSAR) and the complex network theory become important solutions for screening and designing efficient pharmaceuticals by coding the chemical information of the molecules into molecular descriptors. This review presents the most recent studies on drug discovery and design using QSAR of several complex diseases in the fields of Neurology, Cardiology and Oncology.
M3 - Review article (Academic Journal)
SN - 1381-6128
VL - 16
SP - 2640
EP - 2655
JO - Current Pharmaceutical Design
JF - Current Pharmaceutical Design
IS - 24
ER -