The understanding, and even the description of protein folding is impeded by the complexity of the process. Much of this complexity can be described and understood by taking a statistical approach to the energetics of protein conformation, that is, to the energy landscape. The statistical energy landscape approach explains when and why unique behaviors, such as specific folding pathways, occur in some proteins and more generally explains the distinction between folding processes common to all sequences and those peculiar to individual sequences. This approach also gives new, quantitative insights into the interpretation of experiments and simulations of protein folding thermodynamics and kinetics. Specifically, the picture provides simple explanations for folding as a two-state first-order phase transition, for the origin of metastable collapsed unfolded states and for the curved Arrhenius plots observed in both laboratory experiments and discrete lattice simulations. The relation of these quantitative ideas to folding pathways, to uni-exponential {\em vs.} multi-exponential behavior in protein folding experiments and to the effect of mutations on folding is also discussed. The success of energy landscape ideas in protein structure prediction is also described. The use of the energy landscape approach for analyzing data is illustrated with a quantitative analysis of some recent simulations, and a qualitative analysis of experiments on the folding of three proteins. The work unifies several previously proposed ideas concerning the mechanism protein folding and delimits the regions of validity of these ideas under different thermodynamic conditions.

Funnels, Pathways and the Energy Landscape of Protein Folding: A Synthesis

Electrospray ionization is a gentle method for sample delivery, routinely used in gas-phase studies of proteins. It is crucial for structural investigations that the protein structure is preserved, and a good understanding of how structure is affected by the transition to the gas phase is needed for the tuning of experiments to meet that requirement. Small amounts of residual solvent have been shown to protect the protein, but temperature is important too, although it is not well understood how the latter affects structural details. Using molecular dynamics we have simulated four sparingly hydrated globular proteins (Trp-cage; Ctf, a C-terminal fragment of a bacterial ribosomal protein; ubiquitin; and lysozyme) in vacuum starting at temperatures ranging from 225 K to 425 K. For three of the proteins, our simulations show that a water layer corresponding to 3 A preserves the protein structure in vacuum, up to starting temperatures of 425 K. Only Ctf shows minor secondary structural changes at lower starting temperatures. The structural conservation stems mainly from interactions with the surrounding water. Temperature scales in simulations are not directly translatable into experiments, but the wide temperature range in which we find the proteins to be stable is reassuring for the success of future single particle imaging experiments. The water molecules aggregate in clusters and form patterns on the protein surface, maintaining a reproducible hydrogen bonding network. The simulations were performed mainly using OPLS-AA/L, with cross checks using AMBER03 and GROMOS96 53a6. Only minor differences between the results from the three different force fields were observed.

Structural stability of electrosprayed proteins: temperature and hydration effects

Hydrophobic Core Formation and Dehydration in Protein Folding Studied by Generalized-Ensemble Simulations

Reaching the experimental time scale of millisecond is a grand challenge for protein folding simulations. The development of advanced Molecular Dynamics techniques like Replica Exchange Molecular D...

Microsecond Scale Replica Exchange Molecular Dynamic Simulation of Villin Headpiece: An Insight into the Folding Landscape

Folding Simulations of a De Novo Designed Protein with a βαβ Fold

The LYS24/29NLE double mutant of villin headpiece subdomain (HP35) is the fastest folding protein known so far with a folding time constant of 0.6μs. In this work, the folding mechanism of the mutant has been investigated by both conventional and replica exchange molecular dynamics (CMD and REMD) simulations with AMBER FF03 force field and a generalized-Born solvation model. Direct comparison to the ab initio folding of the wild type HP35 enabled a close examination on the mutational effect on the folding process. The mutant folded to the native state, as demonstrated by the 0.50A Cα-root mean square deviation (RMSD) sampled in both CMD and REMD simulations and the high population of the folded conformation compared with the denatured conformations. Consistent with experiments, the significantly reduced primary folding free energy barrier makes the mutant closer to a downhill folder than the wild type HP35 that directly leads to the faster transition and higher melting temperature. However, unlike the pro...

The fast-folding HP35 double mutant has a substantially reduced primary folding free energy barrier

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The fast-folding HP35 double mutant has a substantially reduced primary folding free energy barrier