Molecular dynamics simulations of helix folding: The effects of amino acid substitution

Removal of kinetic traps and enhanced protein folding by strategic substitution of amino acids in a model α-helical hairpin peptide

The presence of non-native kinetic traps in the free energy landscape of a protein may significantly lengthen the overall folding time so that the folding process becomes unreliable. We use a computational model alpha-helical hairpin peptide to calculate structural free energy landscapes and relate them to the kinetics of folding. We show how protein engineering through strategic changes in only a few amino acid residues along the primary sequence can greatly increase the speed and reliability of the folding process, as seen experimentally. These strategic substitutions also prevent the formation of long-lived misfolded configurations that can cause unwanted aggregations of peptides. These results support arguments that removal of kinetic traps, obligatory or nonobligatory, is crucial for fast folding.

Alpha-hairpin stability and folding of transmembrane segments

Molecular Dynamics (MD) simulations at low dielectric constant have been carried out for peptides matching the double spanning segments of transmembrane proteins. Different folding dynamics have been observed. The peptides folded into the stable helix-turn-helix conformation-alpha-hairpin-with antiparallel-oriented strands or unstable alpha-hairpin conformation that unfolded later into the straight helical structure. The peptide having flexible residues in the TM helices often misfolded into a tangled structure that can be avoided by restricting the flexibility of these residues. General conclusions can be drawn from the observed folding dynamics. The stability and folding of some double spanning transmembrane fragments are self-assembling. The following and/or neighboring peptide chains of the protein may support the stability of the hairpin structure of other fragments. The stability of the TM helices containing flexible residues could be maintained due to contacts with neighboring TM segments.

alpha-helix formation: discontinuous molecular dynamics on an intermediate-resolution protein model

An intermediate-resolution model of small, homogeneous peptides is introduced, and discontinuous molecular dynamics simulation is applied to study secondary structure formation. Physically, each model residue consists of a detailed three-bead backbone and a simplified single-bead side-chain. Excluded volume and hydrogen bond interactions are constructed with discontinuous (i.e., hard-sphere and square-well) potentials. Simulation results show that the backbone motion of the model is limited to realistic regions of Phi-Psi conformational space. Model polyalanine chains undergo a locally cooperative transition to form alpha-helices that are stabilized by backbone hydrogen bonding, while model polyglycine chains tend to adopt nonhelical structures. When side-chain size is increased beyond a critical diameter, steric interactions prevent formation of long alpha-helices. These trends in helicity as a function of residue type have been well documented by experimental, theoretical, and simulation studies and demonstrate the ability of the intermediate-resolution model developed in this work to accurately mimic realistic peptide behavior. The efficient algorithm used permits observation of the complete helix-coil transition within 15 min on a single-processor workstation, suggesting that simulations of very long times are possible with this model.

Effects of turn residues on beta-hairpin folding--a molecular dynamics study

Folding of beta-hairpin structures of synthetic peptides has been simulated using the molecular dynamics method with a solvent-referenced potential. Two similar sequences, Ac-MQIFVKS(D)PGKTITLKV-NH(2) and Ac-MQIFVKS(L)PGKTITLKV-NH(2), derived from the N-terminal beta-hairpin of ubiquitin, were used to study the effects of turn residues in beta-hairpin folding. The simulations were carried out for 80 ns at 297 K. With extended initial conformation, the (D)P-containing peptide folded into a stable 2:2 beta-hairpin conformation with a type II' beta-turn at (D)PG. The overall beta-hairpin ratio, calculated by the DSSP algorithm, was 32.6%. With randomly generated initial conformations, the peptide also formed the stable 2:2 beta-hairpin conformation. The interactions among the side chains in the 2:2 beta-hairpin were almost identical to those in the native protein. These interactions reduced the solvation energy upon folding and stabilized the beta-hairpin conformation. Without the solvent effect, the peptide did not fold into stable beta-hairpin structures. The solvent effect is crucial for the formation of the beta-hairpin conformation. The effect of the temperature has also been studied. The (L)P-containing peptide did not fold into a stable beta-hairpin conformation and had a much lower beta-hairpin ratio (16.6%). The( L)P-containing peptide has similar favorable side-chain interactions, but the turn formed by (L)PG does not connect well with the right-handed twist of the beta-strands. For comparison, the isolated N-terminal peptide of ubiquitin, Ac-MQIFVKTLTGKTITLEV-NH(2), was also simulated and its beta-hairpin ratio was low, indicating that the beta-hairpin in the native structure is stabilized by the interaction with the protein environment. These simulation results agreed qualitatively with the available experimental findings.

Molecular dynamics simulations of beta-hairpin folding

Molecular dynamics simulations of beta-hairpin folding have been carried out with a solvent-referenced potential at 274 K. The model peptide V4DPGV4 formed stable beta-hairpin conformations and the beta-hairpin ratio calculated by the DSSP algorithm was about 56% in the 50-ns simulation. Folding into beta-hairpin conformations is independent of the initial conformations. The simulations provided insights into the folding mechanism. The hydrogen bond often formed in a beta-turn first, and then propagated by forming more hydrogen bonds along the strands. Unfolding and refolding occurred repeatedly during the simulations. Both the hydrogen bonding and the hydrophobic interaction played important roles in forming the ordered structure. Without the hydrophobic effect, stable beta-hairpin conformations did not form in the simulations. With the same energy functions, the alanine-based peptide (AAQAA)3Y folded into helical conformations, in agreement with experiments. Folding into an alpha-helix or a beta-hairpin is amino acid sequence-dependent.

Simulation of peptide folding with explicit water--a mean solvation method

A new approach to efficiently calculate solvent effect in computer simulation of macromolecular systems has been developed. Explicit solvent molecules are included in the simulation to provide a mean solvation force for the solute conformational search. Simulations of an alanine dipeptide in aqueous solution showed that the new approach is significantly more efficient than conventional molecular dynamics method in conformational search, mainly because the mean solvation force reduced the solvent damping effect. This approach allows the solute and solvent to be simulated separately with different methods. For the macromolecule, the rigid fragment constraint dynamics method we developed previously allows large time-steps. For the solvent, a combination of a modified force-bias Monte Carlo method and a preferential sampling can efficiently sample the conformational space. A folding simulation of a 16-residue peptide in water showed high efficiency of the new approach.

Monte Carlo simulations of beta-hairpin folding at constant temperature

Monte Carlo simulations were applied to beta-hairpin folding of a valine-based peptide. Two valine residues in the middle of the peptide were substituted with glycine, to serve as turn residues. Unlike lattice model simulations, structure prediction methods, and unfolding simulations, our simulations used an atom-based model, constant temperature (274 K), and non-beta-hairpin initial conformations. Based on the concept of solvent reference, the effective energy function simplified the solvent calculation and overcame the multiple minima problem. Driven by the hydrophobic interaction, the peptide first folded into a compact U-shaped conformation with a central turn, in analogy to the initial collapse with simultaneous nucleation in protein folding. The peptide units in the U-shaped conformation then reoriented, gradually forming hydrogen bonds in the beta-hairpin pattern from the beta-turn to the ends of the strands. With the same energy function, an alanine-based peptide folded into helix-dominated structures. The basic structure types (alpha-helix or beta-hairpin) that formed during the simulations depended upon the amino acid sequence. Compared with helix, beta-hairpin folding is driven mainly by the hydrophobic interaction. Hydrogen bonding is necessary to maintain the ordered secondary structure.