This research area integrates computational biology, genomics, and molecular medicine to understand, diagnose, and treat diseases such as cancer and tumors through data-driven precision approaches. UH faculty are connecting large-scale biological and clinical data to uncover disease mechanisms and develop targeted therapies.
Key Research Areas:
Cancer Genomics and Gene Identification
- Using bioinformatics tools to identify genes and molecular pathways responsible for aggressive cancers
- Analyzing genomic, transcriptomic, and proteomic data to predict cancer progression and patient outcomes
Immunomodulatory Therapies
- Investigating the effects of fungal extracts, including polysaccharides and secondary metabolites, to activate immune cells and enhance their ability to target cancer cells
- Integrating computational models to predict immune responses and optimize therapeutic strategies
Recombinant Anticancer Compounds
- Designing and producing recombinant proteins and therapeutic metabolites with anticancer properties
- Developing targeted treatments for various types of cancer, informed by genomic and molecular profiling
Integrative Bioinformatics Approaches
- Combining molecular biology, systems biology, and computational modeling to identify novel drug targets and predict treatment efficacy
- Supporting precision medicine approaches that tailor interventions to individual patients based on genetic and molecular information
