
handle: 10550/127023
William DeGrado (California, 1955) is one of the most influential chemists of recent decades, thanks to his contributions to protein research. After graduating in chemistry from Kalamazoo College in Michigan in 1978 and receiving his PhD in organic chemistry from the University of Chicago in 1981, DeGrado began his career as a researcher at the multinational chemical company DuPont. After spending a few years at the University of Pennsylvania, he relocated his laboratory to the Department of Pharmaceutical Chemistry at the University of California, San Francisco (UCSF). DeGrado transformed the world of chemistry by introducing protein «de novo design», a discipline in which he proved in 1978 that proteins could be designed from scratch. This milestone had significant practical implications, opening up a world of possibilities in biotechnology and biomedicine. In 2020, a de novo designed protein was used to significantly improve the treatment of multiple myeloma, marking the first time such a protein had reached clinical trials. Since then, there have been further successful advances using de novo engineered proteins, including antibiotics and an antiviral for treating influenza and SARS-CoV-2. Last summer, he was awarded an honorary doctorate by the University of Valencia. During this event, we discussed his career, the challenges that chemistry and de novo protein design will hopefully overcome in the near future, and the current state of the international scientific community in light of the recent cuts to scientific funding announced by the US government.
proteïnes
proteïnes
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
