Hunter Moseley

Professor

University of Kentucky

United States

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Hunter Moseley is a Professor at the University of Kentucky, United States. His research focuses on quality assurance frameworks for monitoring volatile organic compounds, as well as the modeling of metabolic pathways using machine learning techniques. His recent publications cover topics such as the resistance mechanisms of EGFR mutations, the prediction of metabolite associations with various pathways, and the development of tools for harmonizing metabolic databases.

Articles (19)

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2025

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2021

Collaborators (1)

Terry Hinds

Associate Professor

University of Kentucky

UNITED STATES

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Hunter Moseley

Research Interests

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Articles (19)

Systematic Quality Assurance/Quality Control Framework for a Volatile Organic Compound Real-Time Monitoring Instrument, Autonomous Rugged Optical Multigas Analyzer for VOCs

Predicting the Pathway Involvement of Compounds Annotated in the Reactome Knowledgebase

L858R/L718Q and L858R/L792H Mutations of EGFR Inducing Resistance Against Osimertinib by Forming Additional Hydrogen Bonds

Predicting the Pathway Involvement of Metabolites Based on Combined Metabolite and Pathway Features

A cautionary tale about properly vetting datasets used in supervised learning predicting metabolic pathway involvement

Predicting the Pathway Involvement of All Pathway and Associated Compound Entries Defined in the Kyoto Encyclopedia of Genes and Genomes

Predicting the Association of Metabolites with Both Pathway Categories and Individual Pathways

The metabolomics workbench file status website: a metadata repository promoting FAIR principles of metabolomics data

MESSES: Software for Transforming Messy Research Datasets into Clean Submissions to Metabolomics Workbench for Public Sharing

A proposed FAIR approach for disseminating geospatial information system maps

Identifying and sharing per-and polyfluoroalkyl substances hot-spot areas and exposures in drinking water

Bilirubin Nanoparticle Treatment in Obese Mice Inhibits Hepatic Ceramide Production and Remodels Liver Fat Content

md_harmonize: A Python Package for Atom-Level Harmonization of Public Metabolic Databases

Benchmark Dataset for Training Machine Learning Models to Predict the Pathway Involvement of Metabolites

Academic Tracker: Software for tracking and reporting publications associated with authors and grants

Scan-Centric, Frequency-Based Method for Characterizing Peaks from Direct Injection Fourier Transform Mass Spectrometry Experiments

Untargeted Lipidomics of Non-Small Cell Lung Carcinoma Demonstrates Differentially Abundant Lipid Classes in Cancer vs. Non-Cancer Tissue

Hierarchical Harmonization of Atom-Resolved Metabolic Reactions across Metabolic Databases

MEScan: a powerful statistical framework for genome-scale mutual exclusivity analysis of cancer mutations

Collaborators (1)

Terry Hinds

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