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Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods

International journal of environmental research and public health, 2019-11, Vol.16 (22), p.4361

2019

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Deep learning architectures for multi-label classification of intelligent health risk prediction

BMC bioinformatics, 2017-12, Vol.18 (Suppl 14), p.523-131, Article 523

2017

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Distinct Conformations of SARS-CoV-2 Omicron Spike Protein and Its Interaction with ACE2 and Antibody

International journal of molecular sciences, 2023-02, Vol.24 (4), p.3774

2023

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Drug Repositioning Through Network Pharmacology

Current topics in medicinal chemistry, 2016-12, Vol.16 (30), p.3646-3656

2016

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Quantitative structure-activity relationship models for predicting drug-induced liver injury based on FDA-approved drug labeling annotation and using a large collection of drugs

Toxicological sciences, 2013-11, Vol.136 (1), p.242-249

2013

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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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Hidden biases in germline structural variant detection

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

2021

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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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Molecular Docking for Identification of Potential Targets for Drug Repurposing

Current topics in medicinal chemistry, 2016-12, Vol.16 (30), p.3636-3645

2016

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Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample

Genome Biology, 2022-01, Vol.23 (1), p.12-12, Article 12

2022

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Three-Dimensional Structural Insights Have Revealed the Distinct Binding Interactions of Agonists, Partial Agonists, and Antagonists with the µ Opioid Receptor

International journal of molecular sciences, 2023-04, Vol.24 (8), p.7042

2023

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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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Versatility or promiscuity: the estrogen receptors, control of ligand selectivity and an update on subtype selective ligands

International journal of environmental research and public health, 2014-08, Vol.11 (9), p.8709-8742

2014

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The EDKB: an established knowledge base for endocrine disrupting chemicals

BMC bioinformatics, 2010-10, Vol.11 Suppl 6 (S6), p.S5-S5, Article S5

2010

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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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Software-Assisted Pattern Recognition of Persistent Organic Pollutants in Contaminated Human and Animal Food

Molecules (Basel, Switzerland), 2021-01, Vol.26 (3), p.685

2021

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Integrating artificial intelligence with bioinformatics promotes public health

Experimental biology and medicine (Maywood, N.J.), 2023-11, Vol.248 (21), p.1905-1907

2023

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Molecular docking to identify associations between drugs and class I human leukocyte antigens for predicting idiosyncratic drug reactions

Combinatorial chemistry & high throughput screening, 2015-01, Vol.18 (3), p.296-304

2015

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BERT-based language model for accurate drug adverse event extraction from social media: implementation, evaluation, and contributions to pharmacovigilance practices

Frontiers in public health, 2024-04, Vol.12, p.1392180-1392180

2024

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Comparing Next-Generation Sequencing and Microarray Technologies in a Toxicological Study of the Effects of Aristolochic Acid on Rat Kidneys

Chemical research in toxicology, 2011-09, Vol.24 (9), p.1486-1493

2011

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Assessment of Prediction Confidence and Domain Extrapolation of Two Structure-Activity Relationship Models for Predicting Estrogen Receptor Binding Activity

Environmental health perspectives, 2004-08, Vol.112 (12), p.1249-1254

2004

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Study of 202 Natural, Synthetic, and Environmental Chemicals for Binding to the Androgen Receptor

Chemical research in toxicology, 2003-10, Vol.16 (10), p.1338-1358

2003

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Technical reproducibility of genotyping SNP arrays used in genome-wide association studies

PloS one, 2012-09, Vol.7 (9), p.e44483-e44483

2012

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Persistent Organic Pollutants in Food: Contamination Sources, Health Effects and Detection Methods

Deep learning architectures for multi-label classification of intelligent health risk prediction

Distinct Conformations of SARS-CoV-2 Omicron Spike Protein and Its Interaction with ACE2 and Antibody

Drug Repositioning Through Network Pharmacology

Quantitative structure-activity relationship models for predicting drug-induced liver injury based on FDA-approved drug labeling annotation and using a large collection of drugs

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

Hidden biases in germline structural variant detection

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

Molecular Docking for Identification of Potential Targets for Drug Repurposing

Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample

Three-Dimensional Structural Insights Have Revealed the Distinct Binding Interactions of Agonists, Partial Agonists, and Antagonists with the µ Opioid Receptor

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

Versatility or promiscuity: the estrogen receptors, control of ligand selectivity and an update on subtype selective ligands

The EDKB: an established knowledge base for endocrine disrupting chemicals

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

Software-Assisted Pattern Recognition of Persistent Organic Pollutants in Contaminated Human and Animal Food

Integrating artificial intelligence with bioinformatics promotes public health

Molecular docking to identify associations between drugs and class I human leukocyte antigens for predicting idiosyncratic drug reactions

BERT-based language model for accurate drug adverse event extraction from social media: implementation, evaluation, and contributions to pharmacovigilance practices

Comparing Next-Generation Sequencing and Microarray Technologies in a Toxicological Study of the Effects of Aristolochic Acid on Rat Kidneys

Assessment of Prediction Confidence and Domain Extrapolation of Two Structure-Activity Relationship Models for Predicting Estrogen Receptor Binding Activity

Study of 202 Natural, Synthetic, and Environmental Chemicals for Binding to the Androgen Receptor

Whole genome and exome sequencing reference datasets from a multi-center and cross-platform benchmark study

Technical reproducibility of genotyping SNP arrays used in genome-wide association studies

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