This document presents the implementation plan for the Framework for the Computational Toxicology Research Program (CTRP), a strategy document developed by the Office of Research and Development (ORD) in 2003. Computational toxicology is defined as the integration of modern computing and information technology, with molecular biology and chemistry to improve risk assessment and prioritization of data requirements of chemicals by the Agency. The program is intended to provide innovative solutions to a number of persistent and pervasive issues facing The Environmental Protection Agency (EPA) regulatory programs. The three objectives of the Framework have been translated into long term goals (LTGs) for the CTRP and the subsequent research has been aligned into five supporting tracks. The LTGs for the program are: (I) EPA risk assessors use improved methods and tools to better understand and describe linkages across the source to outcome paradigm; (II) EPA Program Offices use advanced hazard characterization tools to prioritize and screen chemicals for toxicological evaluation; and (III) EPA risk assessors and regulators use new models based on the latest science to reduce uncertainties in dose-response assessment, cross-species extrapolation, and quantitative risk assessment. The supporting research tracks are: (A) Development of Data for Advanced Biological Models; (B) Information Technologies Development and Application; (C) Prioritization Method Development and Application; (D) Providing Tools and System Models for Extrapolation across Dose, Life Stage, and Species; and (E) Advanced Computational Toxicology Approaches to Improve Cumulative Risk Predictions. A standing subcommittee of ORDs Board of Scientific Counselors has been established to provide guidance to the CTRP as it develops its research agenda.