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Alexander Sedykh

University of North Carolina at Chapel Hill

40

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Concentration-Response Data Analysis using Curvep [R package Rcurvep version 1.2.0]

2021
- Jui-Hua Hsieh
- Alexander Sedykh
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Development of improved QSAR models for predicting the outcome of the in vivo micronucleus genetic toxicity assay

2020 Regulatory Toxicology and Pharmacology
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Analysis of model PM2.5-induced inflammation and cytotoxicity by the combination of a virtual carbon nanoparticle library and computational modeling

2020 Ecotoxicology and Environmental Safety
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Saagar-A New, Extensible Set of Molecular Substructures for QSAR/QSPR and Read-Across Predictions.

2020 Chemical Research in Toxicology
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In silico profiling nanoparticles: predictive nanomodeling using universal nanodescriptors and various machine learning approaches

2019 Nanoscale
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Conditional Toxicity Value (CTV) Predictor: An In Silico Approach for Generating Quantitative Risk Estimates for Chemicals

2018 Environmental Health Perspectives
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Predicting Adverse Drug Effects from Literature- and Database-Mined Assertions

2018 Drug Safety
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Experimental Errors in QSAR Modeling Sets: What We Can Do and What We Cannot Do

2017
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Real-time cell toxicity profiling of Tox21 10K compounds reveals cytotoxicity dependent toxicity pathway linkage

2017 PLOS ONE
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Predicting Nano–Bio Interactions by Integrating Nanoparticle Libraries and Quantitative Nanostructure Activity Relationship Modeling

2017 ACS Nano
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Citations (45)