Exploring folding free energy landscapes using computational protein design.
Recent advances in computational protein design have allowed exciting new insights into the sequence dependence of protein folding free energy landscapes. Whereas most previous studies have examined the sequence dependence of protein stability and folding kinetics by characterizing naturally occurring proteins and variants of these proteins that contain a small number of mutations, it is now possible to generate and characterize computationally designed proteins that differ significantly from naturally occurring proteins in sequence and/or structure. These computer-generated proteins provide insights into the determinants of protein structure, stability and folding, and make it possible to disentangle the properties of proteins that are the consequence of natural selection from those that reflect the fundamental physical chemistry of polypeptide chains.
Kuhlman
Brian
B
Department of Biochemistry and Biophysics, University of North Carolina, Chapel Hill, NC 27599-7260, USA. bkuhlman@email.unc.edu
Baker
David
D
D019295:Computational Biology / Q000379:methods*; D017076:Computer-Aided Design; D007700:Kinetics; D011487:Protein Conformation; D015202:Protein Engineering / Q000379:methods*; D017510:Protein Folding; D012641:Selection, Genetic