Systems biology is a holistic rather than reductionist approach to deciphering complexity and understanding biology. It enables both hypothesis generation and prediction in biology, based on a comprehensive understanding of the interplay among components in biological systems. Biology is the driving force of systems approaches-dictating what technologies must be developed and in turn what computational and mathematical tools must be pioneered. It requires a cross-disciplinary foundation (biologists, chemists, computer scientists, mathematicians, physicists and physicians) where we learn to speak each other's languages and to work together in teams. The Center addresses challenges of systems biology that take many forms, including scientific, conceptual, technological, educational and cultural. We will seek to develop: (i) a culture of collaboration that drives systems biology and the integration of scientists and disciplines; (ii) an integrated network view of biology that drives quantitative and predictive systems biology; (iii) an integration of established and new core technologies and software for biological systems research; (iv) educational programs that serve the future of systems biology research. In order to support this development, we form collaborations and transfer knowledge to the community, beginning with K-12 science education, and continuing through to professional development courses.
Disease results when normally functioning molecular networks of life become perturbed. This 'systems biology' view presents striking new approaches to diagnostics, therapeutics and disease prevention that will ultimately lead to predictive, preventive personalized and participatory (P4) medicine. The Center's goal is to investigate these themes and to contribute to the education of the community.
| Shao, Wenguang; Pedrioli, Patrick G A; Wolski, Witold et al. (2018) The SysteMHC Atlas project. Nucleic Acids Res 46:D1237-D1247 |
| Kazantsev, Fedor; Akberdin, Ilya; Lashin, Sergey et al. (2018) MAMMOTh: A new database for curated mathematical models of biomolecular systems. J Bioinform Comput Biol 16:1740010 |
| Mast, Fred D; Herricks, Thurston; Strehler, Kathleen M et al. (2018) ESCRT-III is required for scissioning new peroxisomes from the endoplasmic reticulum. J Cell Biol 217:2087-2102 |
| Pacheco, Derek; Warfield, Linda; Brajcich, Michelle et al. (2018) Transcription Activation Domains of the Yeast Factors Met4 and Ino2: Tandem Activation Domains with Properties Similar to the Yeast Gcn4 Activator. Mol Cell Biol 38: |
| Kim, Seung Joong; Fernandez-Martinez, Javier; Nudelman, Ilona et al. (2018) Integrative structure and functional anatomy of a nuclear pore complex. Nature 555:475-482 |
| Kearney, Paul; Boniface, J Jay; Price, Nathan D et al. (2018) The building blocks of successful translation of proteomics to the clinic. Curr Opin Biotechnol 51:123-129 |
| Lee, Joon-Yong; Choi, Hyungwon; Colangelo, Christopher M et al. (2018) ABRF Proteome Informatics Research Group (iPRG) 2016 Study: Inferring Proteoforms from Bottom-up Proteomics Data. J Biomol Tech 29:39-45 |
| Tuttle, Lisa M; Pacheco, Derek; Warfield, Linda et al. (2018) Gcn4-Mediator Specificity Is Mediated by a Large and Dynamic Fuzzy Protein-Protein Complex. Cell Rep 22:3251-3264 |
| Maixner, Frank; Turaev, Dmitrij; Cazenave-Gassiot, Amaury et al. (2018) The Iceman's Last Meal Consisted of Fat, Wild Meat, and Cereals. Curr Biol 28:2348-2355.e9 |
| Holden, Jennifer M; Koreny, Ludek; Obado, Samson et al. (2018) Involvement in surface antigen expression by a moonlighting FG-repeat nucleoporin in trypanosomes. Mol Biol Cell 29:1100-1110 |
Showing the most recent 10 out of 346 publications
