Advertisement

If you have an ACS member number, please enter it here so we can link this account to your membership. (optional)

ACS values your privacy. By submitting your information, you are gaining access to C&EN and subscribing to our weekly newsletter. We use the information you provide to make your reading experience better, and we will never sell your data to third party members.

ENJOY UNLIMITED ACCES TO C&EN

Environment

Computer–Aided Drug Design Gets Boost

by Susan R. Morrissey
October 20, 2008 | A version of this story appeared in Volume 86, Issue 42

NIGMS’s
[+]Enlarge
Credit: Katrina Lexa
program will improve software to predict how a druglike molecule (black) binds to a protein.
Credit: Katrina Lexa
program will improve software to predict how a druglike molecule (black) binds to a protein.

NIH’s National Institute of General Medical Sciences is investing up to $5 million over the next five years in a program to improve the molecular data available for computer-based drug design. Community Structure-Activity Resource will provide data on proteins that bind small druglike molecules to help researchers develop more accurate computer programs that identify potential drug candidates. “The ability to screen compounds and accurately predict their binding properties using only computers would greatly impact the drug development process and many other aspects of biomedical research,” NIGMS Director Jeremy M. Berg says. Heather A. Carlson, a medicinal chemist at the University of Michigan, will lead the effort to gather existing molecular data and work with others to generate new data on protein-ligand complexes. The resulting structural and binding information will be housed in a Web-based database that will be freely accessible.

Article:

This article has been sent to the following recipient:

0 /1 FREE ARTICLES LEFT THIS MONTH Remaining
Chemistry matters. Join us to get the news you need.