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Peter Kollman Memorial Lecture
Ken A. Dill, PhD
2021 lecture
Ken A. Dill, PhD
Director, Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University
Professor Emeritus, Department of Pharmaceutical Chemistry, UCSF School of Pharmacy
About the lecture series
The annual Peter Kollman Memorial Lecture Series honors the memory and science of Peter Andrew Kollman, PhD, a preeminent computational chemist who joined the faculty of the UCSF Department of Pharmaceutical Chemistry in 1971 and where his science thrived until his sudden death in 2001.
Bob Day Collection
Peter A. Kollman
Kollman was a founding father of computational chemistry, creator of the AMBER force field, innovator in molecular dynamics simulations, and a driving force in UCSF’s evolution as a nexus for structural biology. As one of the most highly cited chemists in the world in his era, he published more than 400 journal articles and 50-plus reviews and book chapters.
The UCSF Department of Pharmaceutical Chemistry is pleased to organize this lecture series, which is held annually on the UCSF Mission Bay Campus and is open to all.
Past lectures
2019
Frances H. Arnold, PhD, California Institute of Technology,
Video, 90 minutes: Machine learning-enhanced directed evolution of enzymes and channelrhodopsins.
2017
- Arieh Warshel, PhD, University of Southern California,
Video, 60 minutes: How to Simulate the Action of Biological Systems at the Molecular Level - Ron Dror, PhD, Stanford University,
4 videos, 4 hours, 30 minutes: Revealing the Structural Basis for GPCR Drug Action through Atomic-Level Simulation
2016
Michael Gilson, MD, PhD, University of California, San Diego,
The Physical Basis of Computer-Aided Drug Design
2015
Mark Murcko, PhD, Disruptive Biomedical, LLC,
Video, 80 minutes: Progress Towards Predicting Ligand Binding Free Energy
2014
Irwin “Tack” Kuntz, PhD, University of California, San Francisco,
Video, 66 minutes: Computation, Modeling and Evolution at UCSF: Past, Present, Future
2013
Michael Levitt, PhD, Stanford University,
Combinatorial Methods Solve a Difficult Structural Problem to Reveal How Chaperonins Work in Eukaryotes
2011
David Case, PhD, Rutgers University