tetano
Editor, Senior Moderator
Clin Pharmacol Ther. 2013 Aug 29. doi: 10.1038/clpt.2013.168. [Epub ahead of print]
Connecting the Dots: Applications of Network Medicine in Pharmacology and Disease.
Jacunski A, Tatonetti N.
Source
1] Integrated Program in Cellular, Molecular and Biomedical Studies [2] Departments of Biomedical Informatics, Systems Biology, and Medicine, Columbia University Medical Center, New York NY 10032.
Abstract
In 2011, over 2.5 million people died from only 15 causes in the United States. Ten of these involved complex or infectious diseases for which there is insufficient knowledge or treatment, such as heart disease, influenza, and Alzheimer's disease.1 Complex diseases have been difficult to understand due to their multifarious genetic and molecular fingerprints, while certain infectious agents have evolved to elude treatment and prophylaxis. Network medicine provides a macroscopic approach to understanding and treating such illnesses. It integrates experimental data on gene, protein, and metabolic interactions with clinical knowledge of disease and pharmacology in order to extend the understanding of diseases and their treatment. The resulting 'big picture' allows for the development of computational and mathematical methods to identify novel disease pathways and predict patient drug response, among others. In this review, we will discuss recent advances in network medicine.Clinical Pharmacology & Therapeutics (2013); accepted article preview online 29 August 2013 doi:10.1038/clpt.2013.168.
PMID:
23995266
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/23995266
Connecting the Dots: Applications of Network Medicine in Pharmacology and Disease.
Jacunski A, Tatonetti N.
Source
1] Integrated Program in Cellular, Molecular and Biomedical Studies [2] Departments of Biomedical Informatics, Systems Biology, and Medicine, Columbia University Medical Center, New York NY 10032.
Abstract
In 2011, over 2.5 million people died from only 15 causes in the United States. Ten of these involved complex or infectious diseases for which there is insufficient knowledge or treatment, such as heart disease, influenza, and Alzheimer's disease.1 Complex diseases have been difficult to understand due to their multifarious genetic and molecular fingerprints, while certain infectious agents have evolved to elude treatment and prophylaxis. Network medicine provides a macroscopic approach to understanding and treating such illnesses. It integrates experimental data on gene, protein, and metabolic interactions with clinical knowledge of disease and pharmacology in order to extend the understanding of diseases and their treatment. The resulting 'big picture' allows for the development of computational and mathematical methods to identify novel disease pathways and predict patient drug response, among others. In this review, we will discuss recent advances in network medicine.Clinical Pharmacology & Therapeutics (2013); accepted article preview online 29 August 2013 doi:10.1038/clpt.2013.168.
PMID:
23995266
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/23995266