Michael Strong
Associate Professor
Office of Academic Affairs
Center for Genes, Environment, and Health
image descriptionPrograms & Services
Research AreasResearch Areas
  • Cellular and Molecular Biology
  • Computational Biology
  • Genomics
  • Infectious Diseases
  • Mycobacterial and Respiratory Infections
  • Structural Biology
  • Translational Research
  • Tuberculosis

Special Interests

Research Interests

Dr. Strong’s research focuses on synergistic genomic, computational and molecular strategies to disease and disease pathogenesis. I am particularly interested in developing and applying computational methods to better generate, integrate and analyze genomic and proteomic information, with a focus on respiratory disease and disease pathogens, including Mycobacterium tuberculosis. Some of Dr. Strong’s current collaborative projects include complete genome sequencing, gene expression analysis, protein and gene network analysis, and structural informatics. It is Dr. Strong’s hope that these strategies will help elucidate the underlying mechanisms of disease and suggest new ways to combat, prevent and limit disease and drug resistance.

Education

Education
University of California, Los Angeles, PhD
Fellowship
Harvard Medical School, Postdoctoral Fellow

Awards & Recognition

Jane Coffin Childs Memorial Fund For Medical Research, Postdoctoral Fellowship, Harvard Medical School
National Institutes of Health, National Research Service Award (Cell and Molecular Biology Training Grant, UCLA)
Paul D. Boyer Outstanding Teaching Award

Professional Memberships

University of Colorado, Center for Global Health, Affiliate
International Society for Computational Biology, Member

Publications

Walter ND, Dolganov GM, Garcia BJ, Worodria W, Andama A, Musisi E, Ayakaka I, Van TT, Voskuil MI, de Jong BC, Davidson RM, Fingerlin TE, Kechris K, Palmer C, Nahid P, Daley CL, Geraci M, Huang L, Cattamanchi A, Strong M, Schoolnik GK, Davis JL. Transcriptional adaptation of drug-tolerant Mycobacterium tuberculosis during treatment of human tuberculosis. Journal of Infectious Diseases 2015; PMID: 25762787

Davidson RM, Hasan NA, Reynolds PR, Totten S, Garcia B, Levin A, Ramamoorthy P, Heifets L, Daley CL, Strong M. Genome sequencing of Mycobacterium abscessus isolates from patients in the United States and comparisons to globally diverse clinical strains. Journal of Clinical Microbiology 2014; 52:3573-3582. PMID: 25056330

Garcia B, Datta G, Cosgrove GP, Strong M. Network and Matrix Analysis of the Respiratory Disease Interactome. BMC Systems Biology 2014; 8:34. PMID: 24655443

Sandgren A, Strong M, Mutukrishnan P, Weiner BK, Church GM, Murray MB. Tuberculosis Drug Resistance Mutation Database PLoS Medicine 2009; 6:2. PMID: 19209951

Strong M, Eisenberg D. The Protein Network as a Tool for Finding Novel Drug Targets. Progress in Drug Research 2007; 64:193-215. PMID: 17195476

Strong M, Sawaya M, Wang S, Philips M, Cascio D, Eisenberg D. Toward the Structural Genomics of Complexes: Crystal Structure of a PE/PPE protein complex from Mycobacterium tuberculosis. Proc. Natl. Acad. Sci. U. S. A. 2006; 103:8060-8065. PMID: 16690741

Strong M, Graeber TG, Beeby M, Pellegrini M, Thompson MJ, Yeates TO, Eisenberg D. Visualization and Interpretation of Protein Networks in Mycobacterium tuberculosis Based on Hierarchical Clustering of Genome-Wide Functional Linkage Maps. Nucleic Acids Research 2003; 31: 7099-7109. PMID: 14654685

Strong M, Mallick P, Pellegrini M, Thompson MJ, Eisenberg D. Inference of Protein Function and Protein Linkages in M. tuberculosis Based on Prokaryotic Genome Organization: A Combined Computational Approach. Genome Biology 2003; 4:R59.1-R59.16. PMID: 12952538

Academic Affiliations

Faculty, Computational Bioscience Program, University of Colorado Denver

Teaching & Professional Positions

University of Colorado Denver, Bioinformatics I, CPBS 7711
University of Colorado Denver, Bioinformatics II, CPBS 7712

Contact Information

  • Office: 303.270.2782
  • Email: StrongM@NJHealth.org

 

Locations

  • National Jewish Health Main Campus
    1400 Jackson St.
    Denver, CO 80206

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Responses are measured on a scale of 1 to 5, with 5 being the best score. Learn more about our patient satisfaction survey.
 
 

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