Ann Richard

1 (2008)

Hao Zhu, Ivan Rusyn, Ann Richard, Er Tropsha, Hao Zhu, Ivan Rusyn, ...

Acknowledgements: This manuscript was approved by the U.S. EPA’s National Center for Computational Toxicology for publication. However, the content does not necessarily reflect the views and...

Computational Toxicology--A State of the Science Mini Review (2008)

Kavlock, Robert J., Ankley, Gerald, Blancato, Jerry, Breen, Michael, Conolly, Rory, Dix, David, ...

Advances in computer sciences and hardware combined with equally significant developments in molecular biology and chemistry are providing toxicology with a powerful new tool box. This tool box of...

Chemical Effects in Biological Systems - Data Dictionary (CEBS-DD): A Compendium of Terms for the Capture and Integration of Biological Study Design Description, Conventional Phenotypes and 'Omics Data (2005)

Fostel, Jennifer, Choi, Danielle, Zwickl, Craig, Morrison, Norman, Rashid, Asif, Hasan, Atif, ...

A critical component in the design of the Chemical Effects in Biological Systems (CEBS) Knowledgebase is a strategy to capture toxicogenomics study protocols and the toxicity endpoint data (clinical...

Chemical Effects in Biological Systems--Data Dictionary (CEBS-DD): A Compendium of Terms for the Capture and Integration of Biological Study Design Description, Conventional Phenotypes, and 'Omics Data (2005)

Fostel, Jennifer, Choi, Danielle, Zwickl, Craig, Morrison, Norman, Rashid, Asif, Hasan, Atif, ...

A critical component in the design of the Chemical Effects in Biological Systems (CEBS) Knowledgebase is a strategy to capture toxicogenomics study protocols and the toxicity endpoint data (clinical...

The Practice of Structure Activity Relationships (SAR) in Toxicology (2000)

McKinney, James D., Richard, Ann, Waller, Chris, Newman, Michael C., Gerberick, Frank

Both qualitative and quantitative modeling methods relating chemical structure to biological activity, called structure-activity relationship analyses or SAR, are applied to the prediction and...

Use of Cell Viability Assay Data Improves the Prediction Accuracy of Conventional Quantitative Structure–Activity Relationship Models of Animal Carcinogenicity

Zhu, Hao, Rusyn, Ivan, Richard, Ann, Tropsha, Alexander

The Toxicity Data Landscape for Environmental Chemicals

Judson, Richard, Richard, Ann, Dix, David J., Houck, Keith, Martin, Matthew, Kavlock, Robert, ...

A Novel Two-Step Hierarchical Quantitative Structure–Activity Relationship Modeling Work Flow for Predicting Acute Toxicity of Chemicals in Rodents

Zhu, Hao, Ye, Lin, Richard, Ann, Golbraikh, Alexander, Wright, Fred A., Rusyn, Ivan, ...