Multicomponent therapeutics for networked systems

Multicomponent therapeutics for networked systems
Keith CT, Borisy AA, Stockwell BR.
Nat Rev Drug Discov. 2005 Jan;4(1):71-8.

Multi-component drug discovery is awaited with increased knowledge of system perspective facilities. These approaches require intimate knowledge of the systems being modeled to al level at which it becomes possible to model the actions of perturbations in a predictable way. However such modeling is infancy and will take 20-30 years to be used in so called syncretic drug discovery.
In conclusion, the systems-based discovery of therapeutics probably represents the next frontier in drug discovery research.

Kyaw Tun

System biology in drug discovery

System biology in drug discovery
Eugene C Butcher, Ellen L Berg & Eric J Kunkel
Nature Biotechnology 2004

There are three principle approach to drug discovery

1. Bottom-up approach: Informatics integration of ‘omics’ data sets


2. Top-down approach: computer modeling of disease or organ system physiology from cell and organ response level information available from literature


3. Direct experimental approach: the use of complex human cell systems themselves to interpret and predict the biological activities of drugs and gene targets

The goal of modeling in system biology is to provide a framework for hypothesis generation and prediction based on in silico simulation of human disease biology across the multiple distance and time scales of an organism.

Reviewer: Kyaw Tun

Paper review: protein-interaction mapping in search of effective drug targets

Paper review: Protein-interaction mapping in search of effective drug targets
Amitabha Chaudhuri, John Chant
BioEssays 2005

This review discusses modular organization of protein interaction network, improving and accessing quality of interaction data and impact on medicine.
Protein interaction is viewed as three level of organization: 1) signaling complex (~ an interaction?) 2) signaling module (assembly of signaling complex having defined input and measurable output) 3) signaling network (assembly of signaling module and possesses emergent properties).  
Verities of methods to assess the quality of protein interaction are reviewed.
Finally, challenges in discovering targets by protein-interaction mapping are discuss. Any interesting methodology or approach for drug target identification is discussed as paper title suggested.
It concludes successful application of protein-interaction mapping in target discovery requires integration of verity of biological information. (Oblivious  enough?) But not how?


Reviewer: Kyaw Tun