Welcome to the InfoSci Platform
Kernel Methods in Chemoinformatics

Kernel Methods in Chemoinformatics

Huma Lodhi
Copyright: © 2005 |Pages: 5
ISBN13: 9781591405573|ISBN10: 1591405572|EISBN13: 9781591405597
DOI: 10.4018/978-1-59140-557-3.ch126
Cite Chapter Cite Chapter

MLA

Lodhi, Huma. "Kernel Methods in Chemoinformatics." Encyclopedia of Data Warehousing and Mining, edited by John Wang, IGI Global, 2005, pp. 664-668. https://doi.org/10.4018/978-1-59140-557-3.ch126

APA

Lodhi, H. (2005). Kernel Methods in Chemoinformatics. In J. Wang (Ed.), Encyclopedia of Data Warehousing and Mining (pp. 664-668). IGI Global. https://doi.org/10.4018/978-1-59140-557-3.ch126

Chicago

Lodhi, Huma. "Kernel Methods in Chemoinformatics." In Encyclopedia of Data Warehousing and Mining, edited by John Wang, 664-668. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-557-3.ch126

Export Reference

Mendeley
Favorite

Abstract

Millions of people are suffering from fatal diseases such as cancer, AIDS, and many other bacterial and viral illnesses. The key issue is now how to design lifesaving and cost-effective drugs so that the diseases can be cured and prevented. It would also enable the provision of medicines in developing countries, where approximately 80% of the world population lives. Drug design is a discipline of extreme importance in chemoinformatics. Structure-activity relationship (SAR) and quantitative SAR (QSAR) are key drug discovery tasks.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.