EPA Science Inventory

Incorporating Biological, Chemical and Toxicological Knowledge into Predictive Models of Toxicity: Letter to the Editor

Citation:

DIX, D. J., K. A. HOUCK, R. JUDSON, N. KLEINSTREUER, T. B. KNUDSEN, M. T. MARTIN, D. REIF, A. M. RICHARD, I. A. SHAH, N. SIPES, AND R. J. KAVLOCK. Incorporating Biological, Chemical and Toxicological Knowledge into Predictive Models of Toxicity: Letter to the Editor. TOXICOLOGICAL SCIENCES. Oxford University Press, Cary, NC, 130(2):440-441, (2012).

Description:

Thomas et al. (2012) recently published an evaluation of statistical models for classifying in vivo toxicity endpoints from ToxRefDB (Knudsen et al. 2009; Martin et al. 2009a and 2009b) using ToxCast in vitro bioactivity data (Judson et al. 2010) and chemical structure descriptors. We commend the authors for a thorough assessment of statistical tools for uncovering patterns of associations among thousands of covariate features derived from in vitro measurements, chemical structure, and toxicity endpoints from animal studies. They were largely unsuccessful in accurately classifying toxicities based on in vitro bioactivity or chemical structure. However, their conclusion that the current ToxCast Phase I assays and chemicals have limited applicability for predicting in vivo chemical hazards using statistical classification methods is misleading and warrants clarification.

Purpose/Objective:

Letter to the Editor in Toxicological Sciences

URLs/Downloads:

Incorporating Biological, Chemical and Toxicological Knowledge i   Exit

Record Details:

Record Type: DOCUMENT (JOURNAL/PEER REVIEWED JOURNAL)
Start Date: 09/14/2012
Completion Date: 09/14/2012
Record Last Revised: 11/15/2012
Record Created: 09/28/2012
Record Released: 09/28/2012
OMB Category: Other
Record ID: 246591

Organization:

U.S. ENVIRONMENTAL PROTECTION AGENCY

OFFICE OF RESEARCH AND DEVELOPMENT

NATIONAL CENTER FOR COMPUTATIONAL TOXICOLOGY

IMMEDIATE OFFICE