Journal home
Advance online publication
Current issue
Archive
Press releases
Supplements
Focuses
Conferences
Guide to authors
Online submissionOnline submission
Permissions
For referees
Free online issue
Contact the journal
Subscribe
Advertising
work@npg
naturereprints
About this site
For librarians
 
NPG Resources
Bioentrepreneur
Nature Reviews Drug Discovery
Nature
Nature Medicine
Nature Genetics
Nature Reviews Genetics
Nature Methods
Nature Chemical Biology
news@nature.com
Clinical Pharmacology & Therapeutics
Nature Conferences
NPG Subject areas
Biotechnology
Cancer
Chemistry
Clinical Medicine
Dentistry
Development
Drug Discovery
Earth Sciences
Evolution & Ecology
Genetics
Immunology
Materials Science
Medical Research
Microbiology
Molecular Cell Biology
Neuroscience
Pharmacology
Physics
Browse all publications
Review
Systems Biology
Contents Editorial News Commentary Feature
Historical Perspective Perspective Reviews Feedback


Nature Biotechnology  22, 1261 - 1267 (2004)
Published online: 6 October 2004; | doi:10.1038/nbt1016

Exploiting biological complexity for strain improvement through systems biology

Gregory Stephanopoulos, Hal Alper & Joel Moxley

Department of Chemical Engineering, Massachusetts Institute of Technology, Room 56-469, Cambridge, MA 02139, USA.

Correspondence should be addressed to Gregory Stephanopoulos gregstep@mit.edu
Cellular complexity makes it difficult to build a complete understanding of cellular function but also offers innumerable possibilities for modifying the cellular machinery to achieve a specific purpose. The exploitation of cellular complexity for strain improvement has been a challenging goal for applied biological research because it requires the coordinated understanding of multiple cellular processes. It is therefore pursued most efficiently in the framework of systems biology. Progress in strain improvement will depend not only on advances in technologies for high-throughput measurements but, more importantly, on the development of theoretical methods that increase the information content of these measurements and, as such, facilitate the elucidation of mechanisms and the identification of genetic targets for modification.

MORE ARTICLES LIKE THIS

These links to content published by NPG are automatically generated.

 Top
Abstract
Previous | Next
Table of contents
Full textFull text
Download PDFDownload PDF
Send to a friendSend to a friend

Open Innovation Challenges

naturejobs

Figures & Tables
Export citation
natureproducts

Search buyers guide:

 
ADVERTISEMENT
 
Nature Biotechnology
ISSN: 1087-0156
EISSN: 1546-1696
Journal home | Advance online publication | Current issue | Archive | Press releases | Supplements | Focuses | Conferences | For authors | Online submission | Permissions | For referees | Free online issue | About the journal | Contact the journal | Subscribe | Advertising | work@npg | naturereprints | About this site | For librarians
Nature Publishing Group, publisher of Nature, and other science journals and reference works©2004 Nature Publishing Group | Privacy policy