Mark Nelms

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Chemistry domain of applicability evaluation against existing estrogen receptor high-throughput assay-based activity models

Smoking cessation, harm reduction, and biomarkers protocols in the PhenX Toolkit: Tools for standardized data collection

Linking complex disease and exposure data-insights from an environmental and occupational health study

Evaluating the utility of the Threshold of Toxicological Concern (TTC) and its exclusions in the biocompatibility assessment of extractable chemical substances from medical devices

Mapping mechanistic pathways of acute oral systemic toxicity using chemical structure and bioactivity measurements

Derivation of new Threshold of Toxicological Concern values for exposure via inhalation for environmentally-relevant chemicals

An evaluation of the performance of selected (Q)SARs/expert systems for predicting acute oral toxicity

Identification of novel activators of the metal responsive transcription factor (MTF-1) using a gene expression biomarker in a microarray compendium

In silico guidance for in vitro androgen and glucocorticoid receptor ToxCast assays

Evaluating potential refinements to existing Threshold of Toxicological Concern (TTC) values for environmentally-relevant compounds

A weight of evidence approach to investigate potential common mechanisms in pesticide groups to support cumulative risk assessment: A case study with dinitroaniline pesticides

A mechanistic framework for integrating chemical structure and high-throughput screening results to improve toxicity predictions

Differentiating pathway-specific from non-specific effects in high-throughput toxicity data: A foundation for prioritizing adverse outcome pathway development

Tiered approaches to incorporate the adverse outcome pathway framework into chemical-specific risk-based decision making

Adverse outcome pathways to support the assessment of chemical mixtures

Computational approaches for identifying AOPs

Linking environmental exposure to toxicity

Editor's Highlight: Negative predictors of carcinogenicity for environmental chemicals

Computationally-predicted aops and systems toxicology

Accelerating adverse outcome pathway development using publicly available data sources