title: Prediction of protein-protein association rates from a transition-state theory.
abstract: We recently developed a theory for the rates of protein-protein association. The theory is based on the concept of a transition state, which separates the bound state, with numerous short-range interactions but restricted translational and rotational freedom, and the unbound state, with, at most, a small number of interactions but expanded configurational freedom. When not accompanied by large-scale conformational changes, protein-protein association becomes diffusion limited. The association rate is then predicted as k(a)=k(a)(0)exp(-DeltaG(el)(double dagger)/k(B)T), where DeltaG(el)(double dagger) is the electrostatic interaction free energy in the transition state, k(a)(0) is the rate in the absence of electrostatic interactions, and k(B)T is thermal energy. Here, this transition-state theory is used to predict the association rates of four protein complexes. The predictions for the wild-type complexes and 23 mutants are found to agree closely with experimental data over wide ranges of ionic strength.
authors.affiliation: Department of Physics and Institute of Molecular Biophysics and School of Computational Science, Florida State University, Tallahassee, FL 32306, USA.
authors.forename: Ramzi
authors.initials: R
authors.lastname: Alsallaq
authors.forename: Huan-Xiang
authors.initials: HX
authors.lastname: Zhou
mesh_terms: D008956:Models, Chemical; D046912:Multiprotein Complexes / Q000737:chemistry* / Q000235:genetics; D009154:Mutation; D011485:Protein Binding; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry* / Q000235:genetics; D013816:Thermodynamics
chemical_list: D046912:Multiprotein Complexes; D011506:Proteins