Keyword(s): Computational modeling
-
Walter Fontana, PhD
Information biology: principles, limits, and evolution of information processing in molecular systems
Develop, apply, and establish the concept of programs as models to represent, model, and analyze complex systems of molecular interactions underlying cellular behavior; empirically characterize and ...

-
Galit Lahav, PhD
The p53 tumor suppressor as a model for studying temporal dynamics of signaling networks
Investigate protein dynamics at the single cell level; quantification of proteins in live cells using fluorescence microscopy and mathematical modeling; cellular decision-making in cancer and healthy ...

-
David Nelson, PhD
Examining the intersection of biology, chemistry, and physics
Using principles of physics to make predictions about the behavior and function of biological systems, such as denaturation of DNA and protein packing of viruses. Investigates the physics of ...

Research Categories
Sub-categories
-
Drug Development: Methodologies
- $1000 genome»
- Antiretrovirals»
- Atherosclerosis»
- Biomarker»
- Cancer drug targets»
- Cardiac function»
- Cell senescence»
- Combination index»
- Combination therapy»
- Combinatorial selectivity»
- Computational modeling»
- Data mining»
- Disease pathway modeling»
- Disease targets»
- Dose prediction»
- Drug specificity»
- dsRNA therapeutics»
- Gene therapy»
- High throughput»
- In silico molecular modeling»
- In vitro biochemical assays»
- Mechanism-based toxicity»
- Mouse models»
- NeuroD»
- Neuropharmacology»
- Non-invasive therapy»
- Patient-specific therapy»
- Personalized medicine»
- Pharmacokinetics»
- Protein and small molecule production»
- Radiotherapy»
- RNAi»
- Targeted therapy»
- Technology development»
-
Molecular Techniques and Experimental Approaches
- 3-dimensional basement membrane cell cultures»
- Atomic resolution»
- Automated DNA sequencing»
- Biofuel»
- Biomarker»
- BRET»
- Cancer therapy»
- Cell cycle arrest»
- Chemical detection of cell proliferation»
- ChIP»
- Chromatin immunoprecipitation»
- Computational infrastructure/tools»
- Computational modeling»
- Conditional targeted cell ablation»
- Cross-fire irradiation»
- Cryoelectron microscopy»
- Cryoelectron tomography»
- Data mining»
- DNA nanotechnology»
- DNA sequencing»
- Experimental yeast genetics»
- Extinction therapy»
- FISH»
- Fluorescent imaging of cell proliferation»
- Fluorescent In Situ Hybridization»
- FRET»
- Gene knockdown»
- Gene therapy»
- Genetic engineering»
- Genetic pulldown»
- Genetic screen»
- Genome mining»
- Global molecular profiling»
- Heterologous protein expression»
- High resolution structure»
- High throughput»
- Humanized yeast»
- Immune reconstitution»
- Immunotherapy»
- In silico molecular modeling»
- Liposome»
- Live cell imaging»
- Live cells imaging»
- luciferase»
- Mathematical modeling»
- Membrane protein reconstitution»
- Methods development»
- Microarray»
- Microfluidics»
- Molecular modeling»
- Molecular sensor»
- Multiplexing»
- Natural products»
- NMR spectroscopy»
- Optogenetics»
- Patch clamping»
- Personal genome»
- Phenotypic screen»
- Polony DNA sequencing»
- Probabilistic decision tree»
- Radioiodination»
- Radionuclide»
- Recombinant viral vector»
- RNA inhibition»
- RNA interference»
- RNAi»
- Single molecule imaging»
- Single-cell measurement»
- Single-cycle SIV»
- siRNA screen»
- Stem cell gene therapy»
- Synthetic biology»
- Technology development»
- Tissue engineering»
- Tumor immunotherapy»
- Viral entry imaging»
- Virus-membrane complex reconstitution»
- X-ray crystallography»