human | Q5 |
P496 | ORCID iD | 0000-0003-2116-2300 |
P108 | employer | United States Environmental Protection Agency | Q460173 |
P106 | occupation | researcher | Q1650915 |
Q64250274 | A Chemical Category-Based Prioritization Approach for Selecting 75 Per- and Polyfluoroalkyl Substances (PFAS) for Tiered Toxicity and Toxicokinetic Testing |
Q57555748 | A mechanistic framework for integrating chemical structure and high-throughput screening results to improve toxicity predictions |
Q37158958 | A novel approach: chemical relational databases, and the role of the ISSCAN database on assessing chemical carcinogenicity. |
Q37291866 | A novel two-step hierarchical quantitative structure-activity relationship modeling work flow for predicting acute toxicity of chemicals in rodents |
Q57555791 | ACToR — Aggregated Computational Toxicology Resource |
Q42756252 | Activity profiles of 309 ToxCast™ chemicals evaluated across 292 biochemical targets |
Q53467047 | Advancing exposure characterization for chemical evaluation and risk assessment. |
Q26829544 | Aggregating data for computational toxicology applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System |
Q54583591 | Analysis of the Effects of Cell Stress and Cytotoxicity on In Vitro Assay Activity Across a Diverse Chemical and Assay Space. |
Q92397744 | Bioactivity screening of environmental chemicals using imaging-based high-throughput phenotypic profiling |
Q28830914 | CERAPP: Collaborative Estrogen Receptor Activity Prediction Project |
Q31003916 | 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 |
Q89779996 | CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity |
Q37580570 | Comment on "On the Utility of ToxCast™ and ToxPi as Methods for Identifying New Obesogens". |
Q45079758 | Comparative mutagenicity of halomethanes and halonitromethanes in Salmonella TA100: structure-activity analysis and mutation spectra |
Q56983467 | Computational Tools for ADMET Profiling |
Q37027100 | Computational toxicology--a state of the science mini review |
Q91856422 | Concentration-response evaluation of ToxCast compounds for multivariate activity patterns of neural network function |
Q57554899 | Conversion of Developmental Neurotoxicity (DNT) information into a structure-searchable relational database |
Q46021619 | EADB: an estrogenic activity database for assessing potential endocrine activity. |
Q90295579 | EPA's non-targeted analysis collaborative trial (ENTACT): genesis, design, and initial findings |
Q39747696 | Editor's Highlight: Analysis of the Effects of Cell Stress and Cytotoxicity on In Vitro Assay Activity Across a Diverse Chemical and Assay Space. |
Q33687961 | Endocrine profiling and prioritization of environmental chemicals using ToxCast data |
Q39826629 | Evaluation of high-throughput genotoxicity assays used in profiling the US EPA ToxCast chemicals |
Q37317818 | Exposure science and the U.S. EPA National Center for Computational Toxicology |
Q35177174 | Genetic toxicology in the 21st century: reflections and future directions |
Q40442713 | Genotoxicity and metabolism of the source-water contaminant 1,1-dichloropropene: activation by GSTT1-1 and structure-activity considerations |
Q92075973 | High-throughput screening and chemotype-enrichment analysis of ToxCast phase II chemicals evaluated for human sodium-iodide symporter (NIS) inhibition |
Q33530396 | Impact of environmental chemicals on key transcription regulators and correlation to toxicity end points within EPA's ToxCast program. |
Q33789756 | In vitro screening of environmental chemicals for targeted testing prioritization: the ToxCast project |
Q57018725 | Incorporating Biological, Chemical, and Toxicological Knowledge Into Predictive Models of Toxicity |
Q35745721 | Integrated Model of Chemical Perturbations of a Biological Pathway Using 18 In Vitro High-Throughput Screening Assays for the Estrogen Receptor. |
Q49485148 | Integrating tools for non-targeted analysis research and chemical safety evaluations at the US EPA. |
Q34031014 | Integration of dosimetry, exposure, and high-throughput screening data in chemical toxicity assessment |
Q31040014 | Linking high resolution mass spectrometry data with exposure and toxicity forecasts to advance high-throughput environmental monitoring |
Q44997193 | Mutagenicity in Salmonella of halonitromethanes: a recently recognized class of disinfection by-products in drinking water |
Q35554392 | New publicly available chemical query language, CSRML, to support chemotype representations for application to data mining and modeling |
Q28658651 | Perspectives on validation of high-throughput assays supporting 21st century toxicity testing |
Q28530398 | Phenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanisms |
Q36936203 | Profiling 976 ToxCast chemicals across 331 enzymatic and receptor signaling assays |
Q34857261 | Profiling of the Tox21 chemical collection for mitochondrial function to identify compounds that acutely decrease mitochondrial membrane potential |
Q28222668 | QSAR modeling: where have you been? Where are you going to? |
Q56392055 | Rapid experimental measurements of physicochemical properties to inform models and testing |
Q39150715 | Real-time growth kinetics measuring hormone mimicry for ToxCast chemicals in T-47D human ductal carcinoma cells |
Q38647532 | Screening the ToxCast phase II libraries for alterations in network function using cortical neurons grown on multi-well microelectrode array (mwMEA) plates. |
Q50060517 | Suspect Screening Analysis of Chemicals in Consumer Products. |
Q44040193 | The CompTox Chemistry Dashboard: a community data resource for environmental chemistry |
Q92137919 | The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency |
Q101209136 | The Tox21 10K Compound Library: Collaborative Chemistry Advancing Toxicology |
Q34564990 | The ToxCast program for prioritizing toxicity testing of environmental chemicals |
Q36761869 | The expanding role of predictive toxicology: an update on the (Q)SAR models for mutagens and carcinogens |
Q33455654 | The toxicity data landscape for environmental chemicals |
Q28025527 | ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology |
Q57018719 | ToxCast: Predicting Toxicity Potential Through High-Throughput Bioactivity Profiling |
Q33519655 | Toxicity data informatics: supporting a new paradigm for toxicity prediction |
Q39626913 | Update on EPA's ToxCast program: providing high throughput decision support tools for chemical risk management. |
Q31152707 | Use of cell viability assay data improves the prediction accuracy of conventional quantitative structure-activity relationship models of animal carcinogenicity |
Q33729965 | Use of in vitro HTS-derived concentration-response data as biological descriptors improves the accuracy of QSAR models of in vivo toxicity |
Q31006619 | Using ToxCast™ Data to Reconstruct Dynamic Cell State Trajectories and Estimate Toxicological Points of Departure |
Q63349805 | Using prepared mixtures of ToxCast chemicals to evaluate non-targeted analysis (NTA) method performance |
Q90159802 | Utility of In Vitro Bioactivity as a Lower Bound Estimate of In Vivo Adverse Effect Levels and in Risk-Based Prioritization |
Q114600134 | Wikipedia on the CompTox Chemicals Dashboard: Connecting Resources to Enrich Public Chemical Data |
Search more.