Cart (Loading....) | Create Account
Close category search window

Computer-aided drug discovery for pathway and genetic diseases

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Aswani, A. ; Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Berkeley, Berkeley, CA, USA ; Tomlin, C.

Selecting drug targets in pathway and genetic diseases (e.g., cancer) is a difficult problem facing the medical field and pharmaceutical industry. Because of the complex interconnections and feedback found in biological pathways, it is difficult to understand the potential effects of targeting certain portions of the network. The pharmaceutical industry has avoided novel targets for drugs, largely because of the increased risk in developing such treatments. This necessitates the need for systems biology methods which can help mitigate some of the risks of identifying novel targets and also suggest further experiments to validate them. The primary goal of this paper is to introduce a mathematical framework for solving such problems, that is amenable to computational or mathematical study. The secondary goal is to suggest methods for solving problems posed in this framework. One of these methods is a heuristic which is designed to allow its computations to scale up to much bigger examples and pathways than presented here.

Published in:

Decision and Control (CDC), 2010 49th IEEE Conference on

Date of Conference:

15-17 Dec. 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.