Peter C. Anderson, Associate Professor
Peter Anderson joined the Physical Sciences Division of the UW Bothell School of STEM in 2013. He received a B.S. in chemistry and B.A. in French from Pacific Lutheran University in 2001 and received a Ph.D. in Pharmaceutical Sciences from the University of Wisconsin-Madison in 2007. Prior to coming to UW Bothell, he was a postdoctoral researcher at the University of Washington Seattle (2007-2009) and at Sandia National Laboratories in Livermore, CA (2010-2013).
- Computational methods in chemistry
Peter’s research interests focus on computational modeling and design of proteins, peptides, and protein-ligand interactions. His current research projects include: (1) high-throughput virtual screening of compound libraries to identify novel inhibitors of pathogens that cause tropical diseases; (2) molecular dynamics simulations of proteins harboring disease-causing mutations to identify the mutations’ effects on protein structure; (3) molecular dynamics simulations of non-covalent interactions between general anesthetics and ligand-gated ion channels to probe the mechanism of action of general anesthetics; (4) predicting the stability of cellulase enzymes in ionic liquids for applications in overcoming biomass recalcitrance and bioethanol production; and (5) computational de novo design of protein biosensors that recognize and bind to specific small molecules.
University of Wisconsin-Madison, Madison, WI
Ph.D. Pharmaceutical Sciences
Pacific Lutheran University, Tacoma, WA
- Molecular dynamics simulations of the hypoxia-inducible factor PAS-B domain confirm that internally bound water molecules function to stabilize the protein core for ligand binding, 2020.
- Predicting drug activity against cancer cells by random forest models based on minimal genomic information and chemical properties, 2019.
- Complete coupled binding-folding pathway of the intrinsically disordered transcription factor Brinker revealed by molecular dynamics simulations and Markov state modeling, 2018.
- Molecular simulations and Markov state modeling reveal the structural diversity and dynamics of a theophylline-binding RNA aptamer in its unbound state, 2017.
- In silico epitope mapping of glucose-6-phosphate isomerase: a rheumatoid arthritis autoantigen, 2017.