Dac-Trung Nguyen

Orcid: 0000-0003-2591-9948

According to our database1, Dac-Trung Nguyen authored at least 17 papers between 2015 and 2023.

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Bibliography

2023
Pharos 2023: an integrated resource for the understudied human proteome.
Nucleic Acids Res., January, 2023

2022
NCATS Inxight Drugs: a comprehensive and curated portal for translational research.
Nucleic Acids Res., 2022

Rare disease-based scientific annotation knowledge graph.
Frontiers Artif. Intell., 2022

2021
TCRD and Pharos 2021: mining the human proteome for disease biology.
Nucleic Acids Res., 2021

Global Substance Registration System: consistent scientific descriptions for substances related to health.
Nucleic Acids Res., 2021

DrugCentral 2021 supports drug discovery and repositioning.
Nucleic Acids Res., 2021

Scientific Evidence Based Knowledge Graph in Rare Diseases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Leveraging Integrative Knowledge Graphs to Improve Health Information Access for Rare Diseases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Critical Assessment of Artificial Intelligence Methods for Prediction of hERG Channel Inhibition in the "Big Data" Era.
J. Chem. Inf. Model., 2020

Predicting liver cytosol stability of small molecules.
J. Cheminformatics, 2020

An integrative knowledge graph for rare diseases, derived from the Genetic and Rare Diseases Information Center (GARD).
J. Biomed. Semant., 2020

2019
DrugCentral 2018: an update.
Nucleic Acids Res., 2019

Novel Consensus Architecture To Improve Performance of Large-Scale Multitask Deep Learning QSAR Models.
J. Chem. Inf. Model., 2019

Scaffold-Based Analytics: Enabling Hit-to-Lead Decisions by Visualizing Chemical Series Linked across Large Datasets.
J. Chem. Inf. Model., 2019

2017
Pharos: Collating protein information to shed light on the druggable genome.
Nucleic Acids Res., 2017

Drug target ontology to classify and integrate drug discovery data.
J. Biomed. Semant., 2017

2015
BioAssay Research Database (BARD): chemical biology and probe-development enabled by structured metadata and result types.
Nucleic Acids Res., 2015


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