Detalhe da pesquisa
1.
Searching for LINCS to Stress: Using Text Mining to Automate Reference Chemical Curation.
Chem Res Toxicol
; 2024 May 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-38736322
2.
Probabilistic Reference and 10% Effect Concentrations for Characterizing Inhalation Non-cancer and Developmental/Reproductive Effects for 2,160 Substances.
Environ Sci Technol
; 58(19): 8278-8288, 2024 May 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-38697947
3.
High-Throughput Transcriptomics of Water Extracts Detects Reductions in Biological Activity with Water Treatment Processes.
Environ Sci Technol
; 58(4): 2027-2037, 2024 Jan 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-38235672
4.
tcplfit2: an R-language general purpose concentration-response modeling package.
Bioinformatics
; 38(4): 1157-1158, 2022 01 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-34791027
5.
Combining phenotypic profiling and targeted RNA-Seq reveals linkages between transcriptional perturbations and chemical effects on cell morphology: Retinoic acid as an example.
Toxicol Appl Pharmacol
; 444: 116032, 2022 06 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35483669
6.
Navigating Transcriptomic Connectivity Mapping Workflows to Link Chemicals with Bioactivities.
Chem Res Toxicol
; 35(11): 1929-1949, 2022 11 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-36301716
7.
The Tox21 10K Compound Library: Collaborative Chemistry Advancing Toxicology.
Chem Res Toxicol
; 34(2): 189-216, 2021 02 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-33140634
8.
Exposure and Toxicity Characterization of Chemical Emissions and Chemicals in Products: Global Recommendations and Implementation in USEtox.
Int J Life Cycle Assess
; 26(5): 899-915, 2021 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-34140756
9.
Selecting a minimal set of androgen receptor assays for screening chemicals.
Regul Toxicol Pharmacol
; 117: 104764, 2020 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-32798611
10.
Identification of potential endocrine disrupting chemicals using gene expression biomarkers.
Toxicol Appl Pharmacol
; 380: 114683, 2019 10 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31325560
11.
Progress in data interoperability to support computational toxicology and chemical safety evaluation.
Toxicol Appl Pharmacol
; 380: 114707, 2019 10 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31404555
12.
Ensemble QSAR Modeling to Predict Multispecies Fish Toxicity Lethal Concentrations and Points of Departure.
Environ Sci Technol
; 53(21): 12793-12802, 2019 Nov 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-31560848
13.
Integrating data gap filling techniques: A case study predicting TEFs for neurotoxicity TEQs to facilitate the hazard assessment of polychlorinated biphenyls.
Regul Toxicol Pharmacol
; 101: 12-23, 2019 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-30359698
14.
Development of a prioritization method for chemical-mediated effects on steroidogenesis using an integrated statistical analysis of high-throughput H295R data.
Regul Toxicol Pharmacol
; 109: 104510, 2019 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-31676319
15.
Predicting estrogen receptor activation by a group of substituted phenols: An integrated approach to testing and assessment case study.
Regul Toxicol Pharmacol
; 106: 278-291, 2019 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-31121201
16.
tcpl: the ToxCast pipeline for high-throughput screening data.
Bioinformatics
; 33(4): 618-620, 2017 02 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-27797781
17.
Predicting in vivo effect levels for repeat-dose systemic toxicity using chemical, biological, kinetic and study covariates.
Arch Toxicol
; 92(2): 587-600, 2018 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-29075892
18.
Development and Validation of a Computational Model for Androgen Receptor Activity.
Chem Res Toxicol
; 30(4): 946-964, 2017 04 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-27933809
19.
In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning.
J Chem Inf Model
; 57(1): 36-49, 2017 01 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-28006899
20.
Predictive Structure-Based Toxicology Approaches To Assess the Androgenic Potential of Chemicals.
J Chem Inf Model
; 57(11): 2874-2884, 2017 11 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-29022712