Dr. Leung is professor of mathematics and director of Bioinformatics and Computational Science, interested in finding ways to predict structures and functional sites of molecular sequences using mathematical modeling.

• Student Choice Award for Outstanding Teaching - Department of Mathematical Sciences, UTEP (05/09/2017)
• Outstanding Performance Award in Securing Extramural Funding - Office of Research and Sponsored Projects, UTEP (04/01/2015-04/30/2015)
• Outstanding Performance Award in Securing Extramural Funding - Office of Research and Sponsored Projects, UTEP (04/01/2008-04/30/2008)
• Professor Y.C. Wong Visiting Lectureship - Department of Mathematics, University of Hong Kong (01/01/2004-12/31/2004)
• Andrew Mellon Foundation Research Award - Institute of Population and Resource Studies, Stanford University (01/01/1986-12/31/1986)

• Ph D in Mathematics, Stanford University (1989)
• MS in Computer Science, Stanford University (1988)
• M. Phil. in Mathematics, University of Hong Kong (1983)
• BS in Mathematics, University of Hong Kong (1980)

• Protein-Coding Transcriptome in Major Depressive Disorder and Suicidality: Distinct Pathways Regulating Myelination, Lipid Biogenesis, and Extracellular Matrix Pathways Biological Psychiatry 93 9 (2023), Bharathi Gadad, Javier Medrano, Enrique Ramos, Alejandra Ruiz-Velasco, Ming-Ying Leung, Peter Thompson.
• JAK1 Pseudokinase V666G Mutant Dominantly Impairs JAK3 Phosphorylation and IL-2 Signaling. International Journal of Molecular Sciences 24 7 (2023), Alice H. Grant, Rodriguez C. Alejandro, Rodriguez J. Omar, Shengjie Sun, Lin Li, Jonathon E. Mohl, Ming-Ying Leung, Robert A. Kirken, Georgialina Rodriguez.
• JAK1 Pseudokinase V666G Mutant Dominantly Impairs JAK3 Phosphorylation and IL-2 Signaling. MDPI International Journal of Molecular Sciences (2023), Alice H. Grant, Rodriguez C. Alejandro, Rodriguez J. Omar, Shengjie Sun, Lin Li, Jonathon E. Mohl, Ming-Ying Leung, Robert A. Kirken, Georgialina Rodriguez.
• JAK1 Pseudokinase V666G Mutant Dominantly Impairs JAK3 Phosphorylation and IL-2 Signaling International Journal of Molecular Sciences 24 7 (2023), Alice H. Grant, Alejandro C. Rodriguez, Omar J. Rodriguez Moncivais, Shengjie Sun, Lin Li, Ming-Ying Leung, Robert A. Kirken, Georgialina Rodriguez.
• JAK1 Pseudokinase V666G Mutant Dominantly Impairs JAK3 Phosphorylation and IL-2 Signaling International Journal of Molecular Sciences 24 7 (2023), Alice H. Grant, Alejandro C. Rodriguez, Omar J. Rodriguez Moncivais, Shengjie Sun, Lin Li, Ming-Ying Leung, Robert A. Kirken, Georgialina Rodriguez.
• JAK1 V666G Mutant Impairs IL-2 Signaling in Leukemia. (2023), Omar J. Rodriguez Moncivais, Alice H. Grant, Alejandro C. Rodriguez, Shengjie Sun, Lin Li, Jonathon E. Mohl, Ming-Ying Leung, Robert A. Kirken, Georgialina Rodriguez.
• JAK1 V666G Mutant Impairs IL-2 Signaling in Leukemia. (2023), Omar J. Rodriguez Moncivais, Alice H. Grant, Alejandro C. Rodriguez, Shengjie Sun, Lin Li, Jonathon E. Mohl, Ming-Ying Leung, Robert A. Kirken, Georgialina Rodriguez.
• What Makes GPCRs from Different Families Bind to the Same Ligand? Biomolecules 12 7 (2022), Kwabena O. Dankwah, Jonathon E. Mohl, Khodeza Begum, Ming-Ying Leung.
• What Makes GPCRs from Different Families Bind to the Same Ligand? Biomolecules 12 7 (2022), Kwabena O. Dankwah, Johanthon Mohl, Khodeza Begum, Ming-Ying Leung.
• JAK1 Psuedokinase Mutation HiJAKs Tyr Phosphorylation. (2022), Elisa Robles Escajeda, Alice H. Grant, Georgialina Rodriguez, Alejandro C. Rodriguez, Aleksander Lazarski, Jonathon E. Mohl, Ming-Ying Leung, Robert A. Kirken.
• Understanding the binding of the same ligand to GPCRs of different families IEEE International Conference on Bioinformatics and Biomedicine (2021), Kwabena O. Dankwah, Jonathon E. Mohl, Khodeza Begum, Ming-Ying Leung Leung.
• Identification of Hub Genes in Different Stages of Colorectal Cancer through an Integrated Bioinformatics Approach. Int J Environ Res Public Health # Corresponding Author 18 11 (2021), Abhijeet R. Patil, Ming-Ying Leung, Sourav # Roy.
• Identification of Hub Genes in Different Stages of Colorectal Cancer through an Integrated Bioinformatics Approach Int. J. Environ. Res. Public Health 18 (2021), Abhijeet R. Patil, Ming-Ying Leung, Sourav Roy.
• Whole-Transcriptome Brain Expression and Exon-Usage Profiling in Major Depression and Suicide Biological Psychiatry 89 9 (2021), Bharathi Gadad, Javier Medrano, Valeria Diaz-Pacheco, Enrique Ramos, Barbara Yang, Ming-Ying Leung, Peter Thompson, Nikolaos Mellios, Manish Jha, Madhukar Trivedi.
• ISOGlyP: de novo prediction of isoform-specific mucin-type O-glycosylation Glycobiology 31 3 (2021), Jonathon E. Mohl, Thomas A. Gerken, Ming-Ying Leung.
• Understanding the binding of the same ligand to GPCRs of different families IEEE International Conference on Bioinformatics and Biomedicine (2021), Kwabena O. Dankwah, Jonathon E. Mohl, Khodeza Begum, Ming-Ying Leung Leung.
• GPCR-PEnDB: A database of protein sequences and derived features to facilitate prediction and classification of G protein-coupled receptors Database 2020 (in press), Khodeza Begum, Jonathon E. Mohl, Fredrick Ayivor, Eder Perez, Ming-Ying Leung.
• GPCR-PEnDB: A database of protein sequences and derived features to facilitate prediction and classification of G protein-coupled receptors Database (2020), Khodeza Begum, Jonathon E. Mohl, Fredrick Ayivor, Eder E. Perez, Ming-Ying Leung.
• ISOGlyP: de novo prediction of isoform specific mucin-type O-glycosylation Glycobiology (2020), Jonathon E. Mohl, Thomas Gerken, Ming-Ying Leung.
• Predicting mucin-type O-glycosylation using enhancement value products from derived protein features Journal of Theoretical and Computational Chemistry 19 03 (2020), Jonathon E. Mohl, Thomas Gerken, Ming-Ying Leung.
• Predicting mucin-type O-Glycosylation using enhancement value products from derived protein features Journal of Theoretical and Computational Chemistry 19 3 (2020), Jonathon E. Mohl, Thomas Gerken, Ming-Ying Leung.
• Computational Prediction of Functional Effects for Cancer Related Genetic Sequence Variants IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020), Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Computational Prediction of Functional Effects for Cancer Related Genetic Sequence Variants IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2020), Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Analyzing epigenetics data using feature ranking with various classifiers Computational and Mathematical Biophysics 7 (2019), Abhijeet R. Patil, Fredrick Ayivor, Jonathon E. Mohl, Ming-Ying Leung, Sangjin Kim.
• G Protein-Coupled Receptor (GPCR) Pipeline for Sequence Prediction Available at http://gpcr.utep.edu. Accessed 10/28/2019 (2019), Ming-Ying Leung, Jonathon E. Mohl, Felix D. Guerrero, Sergio Munoz, Anastasia Kellogg.

• A Scoring Method to Assess the Effect of Pathogenic Single Nucleotide Variants on Protein-Coding Genes in Patients with Leukemia (2023), Amanda Bataycan, Jonathon E. Mohl, Ming-Ying Leung.
• A Scoring Method to Assess the Effect of Pathogenic Single Nucleotide Variants on Protein-Coding Genes in Patients with Leukemia (2023), Amanda Bataycan, Jonathon E. Mohl, Ming-Ying Leung.
• Identification and Characterization of Novel Pathogenic Genes in Prostate Cancer (2023), Jessica R. Dirmeyer, Rina D. Koyani, Bofei Wang, Ming-Ying Leung, Marc B. Cox.
• Comparing prediction algorithms for RNA secondary structures with pseudoknots (2023), Dan Du, Khodeza Begum, Ming-Ying Leung.
• Cumulative functional effects of pathogenic single nucleotide variants on protein-coding genes (2023), Amanda Bataycan, Jonathon E. Mohl, Ming-Ying Leung.
• Cumulative functional effects of pathogenic single nucleotide variants on protein-coding genes (2023), Amanda Bataycan, Jonathon E. Mohl, Ming-Ying Leung.
• Examining genomic data to understand functional effects of genetic variants in ovarian cancer (2023), Omodolapo Nurudeen, Amanda Bataycan, Ming-Ying Leung.
• Single nucleotide variant data in patients with thyroid cancer (2023), Purvi Kanfade, Amanda Bataycan, Ming-Ying Leung.
• Analysis of Single Nucleotide Variants on Patients with Leukemia (2023), Amanda Bataycan, Jonathon E. Mohl, Ming-Ying Leung.
• Analysis of Single Nucleotide Variants on Patients with Leukemia (2023), Amanda Bataycan, Jonathon E. Mohl, Ming-Ying Leung.
• JAK1 V666G Mutant Impairs Il-2 Signaling In Leukemia (2023), Omar J. Rodriguez Moncivais, Alice H. Grant, A C. Rodriguez, S Sun, L Lin, Jonathon E. Mohl, Ming-Ying Leung, Robert A. Kirken, Georgialina Rodriguez.
• Single Nucleotide Variant Data For Acute Myeloid Leukemia (2023), Ming-Ying Leung, Amanda Bataycan.
• Assessment of Computational Methods for Predicting RNA Secondary Structures with Pseudoknots (2023), Dan Du, Khodeza Begum, Ming-Ying Leung.
• Computational insights into G protein-coupled receptor ligand binding (2022), Ming-Ying Leung.
• Analysis of single nucleotide variants on patients with leukemia (2022), Amanda Bataycan, Jonathon E. Mohl, Ming-Ying Leung.
• Progression-free survival of patients with prostate cancer under radiation therapy (2022), Kelvin Ofori-Minta, Ming-Ying Leung.
• Identifying Novel Prostate Cancer-Associated Genes and Their Protein Interaction Networks (2022), Ming-Ying Leung.
• What makes GPCRs from different families bind to the same ligand? (2022), Owusu Danwkwah, Jonathon E. Mohl, Khodeza Begum, Ming-Ying Leung.
• Protein-protein interaction network models for identifying cancer-related genes (2022), Ming-Ying Leung.
• Identifying novel prostate cancer-associated genes from whole-exome sequencing data (2022), Ming-Ying Leung.
• Functional effect prediction and frequency-based analysis of genetic sequence variants in patients with cancer (2021), Volume Online, Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• OncoMiner: an updated pipeline for analyzing genomic sequencing data from changing (2021), Volume Online, Jonathon E. Mohl, Bofei Wang, Ming-Ying Leung.
• Analyses of genetic sequence variants in whole exome sequencing data from patients with prostate cancer (2021), Kelvin Ofori-Minta, Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Locating potential pathogenic DNA sequence variants within G protein-coupled receptor genes in prostate cancer patients (2021), Axel Hidalgo, Owusu K. Dankwah, Khodeza Begum, Jonathon E. Mohl, Ming-Ying Leung.
• Computational insights into the binding of the same ligand to GPCRs of different families. (2020), Volume http://ieeebibm.org/BIBM2021/, online, Owusu Dankwah, Jonathon E. Mohl, Khodeza Begum, Ming-Ying Leung.
• Computational prediction of functional effects for cancer related genetic sequence variants (2020), Volume http://ieeebibm.org/BIBM2020/, online, Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Computational prediction of functional effects for cancer related genetic sequence variants (2020), Volume http://ieeebibm.org/BIBM2020/, online, Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Statistical models for predicting functional effects of genetic sequence variants in cancer (2020), Ming-Ying Leung.
• Scan statistics for finding inversion clusters in genomic sequences (2020), Ming-Ying Leung.
• Using derived protein feature enhancement values to calculate the propensity for mucin-type O-glycosylation with the ISOGlyP program (2020), Jonathon E. Mohl, Thomas Gerken, Ming-Ying Leung.
• Using derived protein feature enhancement values to calculate the propensity for mucin-type O-glycosylation with the ISOGlyP program (2020), Volume Online, Jonathon E. Mohl, Thomas Gerken, Ming-Ying Leung.
• ISOGlyP: de novo prediction of isoform specific mucin-type O-glycosylation (2020), Volume Online, Ming-Ying Leung, Jonathon E. Mohl.
• Identification and design of transferase specific mucin-type O-glycosylation peptides using ISOGlyP’s selective peptide function (2019), Jonathon E. Mohl, Thomas A. Gerken, Ming-Ying Leung.
• Identification and design of transferase specific mucin-type O-glycosylation peptides using ISOGlyP’s selective peptide function (2019), Volume Pheonix, AZ, Jonathon E. Mohl, Thomas Gerken, Ming-Ying Leung.
• A computational method for predicting functional effects of cancer-related genetic sequence variants (2019), Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Compiling structural data for predicting functional roles of G-protein coupled receptors (2019), Owusu K. Dankwah, Khodeza Begum, Ming-Ying Leung.
• A data conversion program for parsing variant calling format files for input into OncoMiner (2019), Bofei Wang, Jonathon E. Mohl, Ming-Ying Leung.
• Accuracy assessment of web-based bioinformatics tools for G protein-coupled receptor prediction (2019), Eder Perez, Khodeza Begum, Jonathon E. Mohl, Ming-Ying Leung.
• Comparison of different statistical and machine learning methods for predicting G protein-coupled receptors (2019), Fredrick Ayivor, Jonathon E. Mohl, Ming-Ying Leung.
• Continued development of the OncoMiner Circos diagram for visualizing exonic variant effects in pediatric acute myeloid leukemia (2019), Angelica Marquez, Jonathon E. Mohl, Ming-Ying Leung.
• Organizing and visualizing results from Cuffdiff analysis of RNAseq data (2019), Karla P. Godinez Macias, Jonathon E. Mohl, Ming-Ying Leung.
• Whole exome sequence meta-data collection for detecting genetic variants in prostate cancer (2019), David Armendariz, Jonathon E. Mohl, Ming-Ying Leung.

• IMPACT OF CANCER OUTCOMES IN HISPANICS (ICOHN)
• BBRC Research Infrastructure Core
• Initiation and Regulation of Mucin Type O-Glycosylation
• Bioinformatics Computing Core Facility
• Bioinformatics Core Facility, Border Biomedical Research Center