Toby W. Allen

Group Page


Computational Chemistry and Biophysics
Born in Perth, Australia;
Ph.D. awarded 1998, Theoretical Physics, The Australian National University, with Conrad Burden;
Postdoctoral Fellow, 1997-2001, Chemistry, The Australian National University, with Shin-Ho Chung;
Postdoctoral Fellow, 2001-2004, Physiology and Biophysics, Weill Medical College of Cornell University, with Olaf Andersen and Benoit Roux;
Assistant Professor, 2004, Chemistry, University of California, Davis.


Research Interests
Membrane protein structure and function; ion channel permeation and gating; ionic solvation; protein-lipid interactions; protein function modulation by membrane modifiers and drugs; free energy calculation and configurational sampling methods.

The Allen group focuses on the development of computational techniques to study important biophysical and physical chemistry problems. In particular, many phenomena in the cell membrane have not yet been characterized at the microscopic level. Their aim is to complement experiment by determining the microscopic driving forces of protein function in cell membranes. Dynamics simulations and advanced free energy methods are used to study explicit lipid bilayers with proteins ranging from simple model transmembrane segments to complex multi-segment proteins. The Allen group is particularly interested in the function of ion channels which allow selective permeation of charged molecules across the membrane and are associated with many neurological and cardiovascular disorders. In the process they are helping to understand many biological processes, such as the actions of antibiotic peptides, toxins, viral peptides, hormone receptors and biomembrane nano-devices. It is important that we use computer simulation to uncover the atomic-level mechanisms and thermodynamics governing protein function. Furthermore, the ability to measure the effects of membrane composition and chemical and pharmacological agents on membrane protein activity represents a significant advance in computational biophysics and will guide future drug development.



Major funding and support:


National Science Foundation. NSF Career Award.
Pittsburgh Supercomputing Center MRAC Award


Publications