Judson, Richard S.

A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae

Uetz, P., Giot, L., Cagney, G., Mansfield, T. A., Judson, R. S., Knight, J. R., Lockshon, D., Narayan, V., Srinivasan, M., Pochart, P., et al. (2000) · Nature

Bioinformatics and Genomic NetworksFungal and yeast genetics research

Cited by 4,706

A large‐scale experiment to assess protein structure prediction methods

Moult, J., Pedersen, J. T., Judson, R., & Fidelis, K. (1995) · Proteins: Structure, Function, and Bioinformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 555

Integration of Dosimetry, Exposure, and High-Throughput Screening Data in Chemical Toxicity Assessment

Wetmore, B. A., Wambaugh, J. F., Ferguson, S. S., Sochaski, M. A., Rotroff, D. M., Freeman, K., Clewell, H. J., Dix, D. J., Andersen, M. E., Houck, K. A., et al. (2012) · Toxicological Sciences

Animal testing and alternativesCarcinogens and Genotoxicity Assessment

Cited by 415

CERAPP: Collaborative Estrogen Receptor Activity Prediction Project

Mansouri, K., Abdelaziz, A., Rybacka, A., Roncaglioni, A., Tropsha, A., Varnek, A., Zakharov, A., Worth, A., Richard, A. M., Grulke, C. M., et al. (2016) · Environmental Health Perspectives

Computational Drug Discovery MethodsEffects and risks of endocrine disrupting chemicals

Cited by 375

The Tox21 10K Compound Library: Collaborative Chemistry Advancing Toxicology

Richard, A. M., Huang, R., Waidyanatha, S., Shinn, P., Collins, B. J., Thillainadarajah, I., Grulke, C. M., Williams, A. J., Lougee, R. R., Judson, R. S., et al. (2021) · Chemical Research in Toxicology

Computational Drug Discovery MethodsEnvironmental Toxicology and Ecotoxicology

Cited by 323

Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model

Browne, P., Judson, R. S., Casey, W. M., Kleinstreuer, N. C., & Thomas, R. S. (2015) · Environmental Science & Technology

Effects and risks of endocrine disrupting chemicalsEstrogen and related hormone effects

Cited by 276

Editor's Highlight: Analysis of the Effects of Cell Stress and Cytotoxicity on In Vitro Assay Activity Across a Diverse Chemical and Assay Space

Judson, R., Houck, K., Martin, M., Richard, A. M., Knudsen, T. B., Shah, I., Little, S., Wambaugh, J., Woodrow Setzer, R., Kothya, P., et al. (2016) · Toxicological Sciences

Animal testing and alternativesEnvironmental Toxicology and Ecotoxicology

Cited by 232

Phenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanisms

Kleinstreuer, N. C., Yang, J., Berg, E. L., Knudsen, T. B., Richard, A. M., Martin, M. T., Reif, D. M., Judson, R. S., Polokoff, M., Dix, D. J., et al. (2014) · Nature Biotechnology

Computational Drug Discovery MethodsAnimal testing and alternatives

Cited by 211

Considerations for strategic use of high-throughput transcriptomics chemical screening data in regulatory decisions

Harrill, J., Shah, I., Setzer, R. W., Haggard, D., Auerbach, S., Judson, R., & Thomas, R. S. (2019) · Current Opinion in Toxicology

Animal testing and alternativesCarcinogens and Genotoxicity Assessment

Cited by 101

A machine learning model to estimate toxicokinetic half-lives of per- and polyfluoro-alkyl substances (PFAS) in multiple species

Dawson, D. E., Lau, C., Pradeep, P., Sayre, R. R., Judson, R. S., Tornero-Velez, R., & Wambaugh, J. F. (2023) · Toxics

Per- and polyfluoroalkyl substances researchComputational Drug Discovery Methods

Cited by 56

Navigating Transcriptomic Connectivity Mapping Workflows to Link Chemicals with Bioactivities

Shah, I., Bundy, J., Chambers, B., Everett, L. J., Haggard, D., Harrill, J., Judson, R. S., Nyffeler, J., & Patlewicz, G. (2022) · Chemical Research in Toxicology

Computational Drug Discovery MethodsBioinformatics and Genomic Networks

Cited by 19