Mark Nelms

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

Computationally-predicted aops and systems toxicology

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

Experimental verification, and domain definition, of structural alerts for protein binding: Epoxides, lactones, nitroso, nitros, aldehydes and ketones

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

Accelerating adverse outcome pathway development using publicly available data sources

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

Computational approaches for identifying AOPs

Developing read-across for toxicity prediction within an AOP framework to support the transition from the analogue approach to local QSARs

Identification of structural alerts for mitochondrial toxicity using chemotyper

Methods for assigning confidence to toxicity data with multiple values--Identifying experimental outliers

Applying read-across for quantitative chronic toxicity prediction

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

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

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

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

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

Linking environmental exposure to toxicity

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

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