Table of Contents
Journal of Computational Medicine
Volume 2013 (2013), Article ID 513537, 8 pages
http://dx.doi.org/10.1155/2013/513537
Research Article

LASSO-ing Potential Nuclear Receptor Agonists and Antagonists: A New Computational Method for Database Screening

1Collaborations in Chemistry, 5616 Hilltop Needmore Road, Fuquay-Varina, NC 27526, USA
2National Exposure Research Laboratory, US-Environmental Protection Agency, 109 TW Alexander Drive, Research Triangle Park, NC 27711, USA
3SimBioSys, Inc., 135 Queen's Plate Drive, Suite 520, Toronto, ON, Canada M9W 6V1
4Royal Society of Chemistry, 904 Tamaras Circle, Wake Forest, NC 27587, USA

Received 1 February 2013; Accepted 28 May 2013

Academic Editor: Gabriela Mustata Wilson

Copyright © 2013 Sean Ekins et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Sean Ekins, Michael-R. Goldsmith, Aniko Simon, Zsolt Zsoldos, Orr Ravitz, and Antony J. Williams, “LASSO-ing Potential Nuclear Receptor Agonists and Antagonists: A New Computational Method for Database Screening,” Journal of Computational Medicine, vol. 2013, Article ID 513537, 8 pages, 2013. doi:10.1155/2013/513537