As director of the Quantitative Biosciences Institute (QBI), I aim to create a framework that fosters open collaboration between scientists locally, domestically, and internationally, where each group brings something unique but highly complementary to the problem. I lead our efforts to develop...
I seek to understand, at the systems level, how biological networks within cancer cells are fundamentally different from those in normal cells. Using a variety of experimental techniques, I design new platforms for the rational application of personalized medicine and the design of combination...
My research seeks to invent approaches to engineer new biological functions at multiple scales, ranging from atomic details to macromolecular machines to cellular processes. By building new functions through a combination of computational design and experimental engineering, I also hope to learn...
I am a theoretical systems pharmacologist who develops advanced simulation methods to improve multiscale mechanistic explanations of complex phenomena in the presence and absence of therapeutic interventions.
Kathy Giacomini, PhD (center), co-chair of the Department of Bioengineering and Therapeutic Sciences, discusses research results in the lab with postdocs Sook Wah Yee (left), and Amber Dahlin (right).
Table of contents
Introduction
Budget significance
Reasons for past success
A decade of funding for bioinformatics
New drug discovery directions attract support
In the first symposium held by the newly minted UCSF Department of Bioengineering and Therapeutic Sciences, researchers described progress in the fields of systems biology, pharmacogenomics, and bioengineering, and how scientists in these fields are working in concert to develop novel diagnostics an
By understanding the complicated systems that make up biology, we will understand more about the individual parts, how they work together, communicate, and mobilize into action, according to Chao Tang, PhD, UCSF School of Pharmacy faculty member.
A research collaboration between the University of California (UC) and Peking University will integrate the biological data acquisition strengths of the former with the physical and theoretical strengths of the latter, a move which scientists anticipate will ultimately lead to more effective, safer...
