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DIGGING DEEPER INTO DEEP DATA: MOLECULAR DOCKING AS A HYPOTHESIS-DRIVEN BIOPHYSICAL INTERROGATION SYSTEM IN COMPUTATIONAL TOXICOLOGY.
Citation:
GOLDSMITH, M., S. LITTLE, D. REIF, AND J. R. RABINOWITZ. DIGGING DEEPER INTO DEEP DATA: MOLECULAR DOCKING AS A HYPOTHESIS-DRIVEN BIOPHYSICAL INTERROGATION SYSTEM IN COMPUTATIONAL TOXICOLOGY. Presented at International Science Forum on Computational Toxicology 2007, RTP, NC, May 21 - 23, 2007.
Impact/Purpose:
Developing and evaluating prediactive strategies to elucidate the mode of biological activity of environmental chemicals is a major objective of the concerted efforts of the US-EPA's computational toxicology program.
Description:
Developing and evaluating prediactive strategies to elucidate the mode of biological activity of environmental chemicals is a major objective of the concerted efforts of the US-EPA's computational toxicology program.
URLs/Downloads:
Digging Deeper into Deep Data: Molecular Docking as a Hypothesis-driven Biophysical Interrogation System in Computational Toxicology. (PDF, NA pp, 431 KB, about PDF)Digging Deeper into Deep Data: Molecular Docking as a Hypothesis-Driven Biophysical Interrogation System in Computational Toxicology (PDF, NA pp, 10 KB, about PDF)
Record Details:
Record Type:DOCUMENT( PRESENTATION/ POSTER)
Product Published Date:05/22/2007
Record Last Revised:12/03/2008
OMB Category:Other
Record ID:
165910