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Predicting protein shape: the next research challenge
By UCSF School of Pharmacy Editorial Staff / Fri Aug 15, 2008
Ken A. Dill and Hue Sun Chan, Nature Structural Biology, January 1997, Volume 4, No. 1.
Energy landscape image that represents the reduction of conformational entropy as protein chains fold to their native states
Understanding protein folding is key to understanding what goes wrong in diseases, such as Alzheimer's disease, that result when proteins misfold. UCSF School of Pharmacy faculty members Ken Dill, PhD, and Andrej Sali, PhD, comment on the history of and next steps in protein folding research. Their thoughts are shared, along with other leading protein scientists, in the August 8, 2008 issue of Science under the title "Problem Solved* (*sort of)".
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About the School: The UCSF School of Pharmacy aims to solve the most pressing health care problems and strives to ensure that each patient receives the safest, most effective treatments. Our discoveries seed the development of novel therapies, and our researchers consistently lead the nation in NIH funding. The School’s doctor of pharmacy (PharmD) degree program, with its unique emphasis on scientific thinking, prepares students to be critical thinkers and leaders in their field.
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