Systems Biology approaches to drug discovery and gene function 2005

Author: D. Di Bernardo
Submitted: Monday 1st of March 2010 10:52:30 AM
Submitted by: egf
Educational levels: expert, qc2, qc3

Abstract

One of the grand challenges in the future of genomics research has been recently described by Collins, et al: the need to develop “computational and experimental methods to detect gene-gene and gene- environment interactions” for identifying the genetic contributions to disease and drug response. Scientists have been successful in cataloguing genes through genome sequencing projects, and we can now generate vast quantities of gene expression data using microarrays. However, the biology community has had far less success in understanding how genes and proteins are connected and operate within networks. When a cell is perturbed (whether by a drug or in a disease state), it is important to understand how it will respond in terms of gene expression and protein interactions. A large volume of current research aims at understanding the regulatory connections in a given genetic network. Recent efforts to define the components and organization of genetic networks include experimental and computational methods to identify putative gene, protein and metabolite interactions, global structural properties[8,9], and regulatory modules and characteristic. On the other hand, purely experimental methods to infer a network are limited. Structural approaches, such as two-hybrid and DNA- binding assays, define networks through measurements of probable physical interactions, but typically do not provide information of the causative and quantitative interactions between genes in the observed cellular conditions. The objective of the lecture is to illustrate how combined experimental and computational apporaches can be used to infer the genetic network in which a particular gene of interest is embedded in order to understand its function and regulation. During the lecture the use of this approach in drug discovery will also be illustrated.

Video

Learning packages

This resource is part of the following learning package:

Similar resources


Loading...

IMS Metadata

Citation

D. Di Bernardo. Systems Biology approaches to drug discovery and gene function 2005. EUROGENE portal. March 2010. online: http://eurogene.open.ac.uk/content/systems-biology-approaches-drug-discovery-and-gene-function-2005

Terms of use

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License. Read more.

sfy39587f01