
Thomas R. Ioerger
· Professor, Computer Science & EngineeringTexas A&M University · Computer Science & Engineering
Active 1990–2026
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About
Thomas R. Ioerger is a Professor in the Department of Computer Science & Engineering at Texas A&M University. He holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign, obtained in 1996, and a B.S. in Molecular and Cell Biology from Pennsylvania State University. His research interests include artificial intelligence, machine learning, intelligent agents, and bioinformatics. He has been recognized as a Faculty Fellow at Texas A&M Engineering Experiment Station and received the Graduate Teaching Excellence Award from the Department of Computer Science at Texas A&M University. His work involves applying computational techniques to biological problems, including gene essentiality analysis, drug target identification, and resistance mechanisms in Mycobacterium tuberculosis.
Research topics
- Biology
- Microbiology
- Virology
- Biochemistry
- Genetics
- Medicine
Selected publications
Comprehensive analysis of iron utilization by Mycobacterium tuberculosis
PLoS Pathogens · 2020 · 99 citations
Iron is essential for nearly all bacterial pathogens, including Mycobacterium tuberculosis (Mtb), but is severely limited in the human host. To meet its iron needs, Mtb secretes siderophores, small molecules with high affinity for iron, and takes up iron-loaded mycobactins (MBT) and carboxymycobactins (cMBT), from the environment. Mtb is also capable of utilizing heme and hemoglobin which contain more than 70% of the iron in the human body. However, many components of these iron acquisition path…
Antimicrobial Agents and Chemotherapy · 2020 · 88 citations
-deficient mutants displayed hypersusceptibility to some antibiotics and to concentrations of malachite green found in solid media used to isolate and propagate mycobacteria from clinical samples.
SuFEx-based antitubercular compound irreversibly inhibits Pks13
Nature · 2025-07-30 · 15 citations
articleOpen accessmBio · 2024-12-31 · 11 citations
articleOpen accessABSTRACT Mycobacterium abscessus (Mab ) is a clinically significant pathogen and a highly genetically diverse species due to its large accessory genome. The functional consequence of this diversity remains unknown mainly because, to date, functional genomic studies in Mab have been primarily performed on reference strains. Given the growing public health threat of Mab infections, understanding the functional genomic differences among Mab clinical isolates can provide more insight into how its ge…
mBio · 2025-01-28 · 10 citations
articleOpen accessABSTRACT Mycobacterium tuberculosis (Mtb) exhibits an impressive ability to adapt to rapidly changing environments, despite its genome’s apparent stability. Recently, phase variation through indel formation in homopolymeric tracts (HT) has emerged as a potentially important mechanism promoting adaptation in Mtb. This study examines the impact of common phase variants associated with the ESX-1 type VII secretion system, focusing on a highly variable HT upstream of the ESX-1 regulatory factor, esp…
Recent grants
NIH · $203k · 2002
Decoding the roles of critical genes of unknown function in M. tuberculosis
NIH · $21.4M · 2013–2019
Frequent coauthors
- 113 shared
James C. Sacchettini
Texas A&M University
- 65 shared
Chongguang Yang
Sun Yat-sen University
- 65 shared
Chieh-Yin Wu
Texas A&M University
- 65 shared
Patrick Cudahy
- 65 shared
Po‐Liang Lu
Kaohsiung Municipal Ta-Tung Hospital
- 65 shared
Po-Chen Liu
National Chung Hsing University
- 65 shared
Joshua L. Warren
Yale University
- 65 shared
Hsiao‐Han Chang
National Tsing Hua University
Awards & honors
- Faculty Fellow, Texas A&M Engineering Experiment Station (TE…
- Graduate Teaching Excellence Award, Dept. of Computer Scienc…
- Graduate Fellowship, National Science Foundation (NSF) (1990…
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