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QSAR in Safety Evaluation and Risk Assessment

Hong, Huixiao

2023

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Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs

Scientific reports, 2017-12, Vol.7 (1), p.17311-15, Article 17311

2017

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Discriminant models on mitochondrial toxicity improved by consensus modeling and resolving imbalance in training

Chemosphere (Oxford), 2020-08, Vol.253, p.126768-126768, Article 126768

2020

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A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Data

Advances in Bioinformatics, 2015, Vol.2015, p.198363-13

2015

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Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science

Hong, Huixiao

1st ed. 2019., 2019

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Structure–activity relationship-based chemical classification of highly imbalanced Tox21 datasets

Journal of cheminformatics, 2020-10, Vol.12 (1), p.66-19, Article 66

2020

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Development of a comprehensive open access “molecules with androgenic activity resource (MAAR)” to facilitate risk assessment of chemicals

Experimental biology and medicine (Maywood, N.J.), 2024-09, Vol.249

2024

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Similarities and differences between variants called with human reference genome HG19 or HG38

BMC bioinformatics, 2019-03, Vol.20 (Suppl 2), p.101-101, Article 101

2019

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dnAQET: a framework to compute a consolidated metric for benchmarking quality of de novo assemblies

BMC genomics, 2019-09, Vol.20 (1), p.706-706, Article 706

2019

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Machine Learning and Deep Learning in Computational Toxicology

Hong, Huixiao

1, 2023

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Hidden biases in germline structural variant detection

Genome Biology, 2021-12, Vol.22 (1), p.347-347, Article 347

2021

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Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method

Genome Biology, 2023-09, Vol.24 (1), p.1-201, Article 201

2023

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A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages

Nature communications, 2014-02, Vol.5 (1), p.3230-3230, Article 3230

2014

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Estrogenic Activity Data Extraction and in Silico Prediction Show the Endocrine Disruption Potential of Bisphenol A Replacement Compounds

Chemical research in toxicology, 2015-09, Vol.28 (9), p.1784-1795

2015

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The Quartet Data Portal: integration of community-wide resources for multiomics quality control

Genome Biology, 2023-10, Vol.24 (1), p.1-245, Article 245

2023

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Elucidation of Agonist and Antagonist Dynamic Binding Patterns in ER-α by Integration of Molecular Docking, Molecular Dynamics Simulations and Quantum Mechanical Calculations

International journal of molecular sciences, 2021-08, Vol.22 (17), p.9371

2021

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In silico identification of genetic mutations conferring resistance to acetohydroxyacid synthase inhibitors: A case study of Kochia scoparia

PloS one, 2019-05, Vol.14 (5), p.e0216116-e0216116

2019

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Decoding the κ Opioid Receptor : Advancements in Structural Understanding and Implications for Opioid Analgesic Development

Molecules (Basel, Switzerland), 2024-06, Vol.29 (11), p.2635

2024

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Machine learning models for rat multigeneration reproductive toxicity prediction

Frontiers in pharmacology, 2022-09, Vol.13, p.1018226-1018226

2022

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Fingerprinting Interactions between Proteins and Ligands for Facilitating Machine Learning in Drug Discovery

Biomolecules (Basel, Switzerland), 2024-01, Vol.14 (1), p.72

2024

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Structural Changes Due to Antagonist Binding in Ligand Binding Pocket of Androgen Receptor Elucidated Through Molecular Dynamics Simulations

Frontiers in pharmacology, 2018-05, Vol.9, p.492-492

2018

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Deep Learning Methods for Omics Data Imputation

Biology (Basel, Switzerland), 2023-10, Vol.12 (10), p.1313

2023

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Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance

Genome Biology, 2023-11, Vol.24 (1), p.1-31, Article 270

2023

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Informing selection of drugs for COVID-19 treatment through adverse events analysis

Scientific reports, 2021-07, Vol.11 (1), p.14022-14022, Article 14022

2021

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Molecular Docking and In Silico ADMET Study Reveals Acylguanidine 7a as a Potential Inhibitor of β-Secretase

Advances in Bioinformatics, 2016, Vol.2016, p.9258578-6

2016

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QSAR in Safety Evaluation and Risk Assessment

Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs

Discriminant models on mitochondrial toxicity improved by consensus modeling and resolving imbalance in training

A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Data

Advances in Computational Toxicology: Methodologies and Applications in Regulatory Science

Structure–activity relationship-based chemical classification of highly imbalanced Tox21 datasets

Development of a comprehensive open access “molecules with androgenic activity resource (MAAR)” to facilitate risk assessment of chemicals

Similarities and differences between variants called with human reference genome HG19 or HG38

dnAQET: a framework to compute a consolidated metric for benchmarking quality of de novo assemblies

Machine Learning and Deep Learning in Computational Toxicology

Hidden biases in germline structural variant detection

Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method

A rat RNA-Seq transcriptomic BodyMap across 11 organs and 4 developmental stages

Estrogenic Activity Data Extraction and in Silico Prediction Show the Endocrine Disruption Potential of Bisphenol A Replacement Compounds

The Quartet Data Portal: integration of community-wide resources for multiomics quality control

Elucidation of Agonist and Antagonist Dynamic Binding Patterns in ER-α by Integration of Molecular Docking, Molecular Dynamics Simulations and Quantum Mechanical Calculations

In silico identification of genetic mutations conferring resistance to acetohydroxyacid synthase inhibitors: A case study of Kochia scoparia

Decoding the κ Opioid Receptor : Advancements in Structural Understanding and Implications for Opioid Analgesic Development

Machine learning models for rat multigeneration reproductive toxicity prediction

Fingerprinting Interactions between Proteins and Ligands for Facilitating Machine Learning in Drug Discovery

Structural Changes Due to Antagonist Binding in Ligand Binding Pocket of Androgen Receptor Elucidated Through Molecular Dynamics Simulations

Deep Learning Methods for Omics Data Imputation

Quartet DNA reference materials and datasets for comprehensively evaluating germline variant calling performance

Informing selection of drugs for COVID-19 treatment through adverse events analysis

Molecular Docking and In Silico ADMET Study Reveals Acylguanidine 7a as a Potential Inhibitor of β-Secretase

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