Wei Zu Chen

Protein Unfolding Behavior Studied by Elastic Network Model

Experimental and theoretical studies have showed that the native-state topology conceals a wealth of information about protein folding/unfolding. In this study, a method based on the Gaussian network model (GNM) is developed to study some properties of protein unfolding and explore the role of topology in protein unfolding process. The GNM has been successful in predicting atomic fluctuations around an energy minimum. However, in the GNM, the normal mode description is linear and cannot be accurate in studying protein folding/unfolding, which has many local minima in the energy landscape. To describe the nonlinearity of the conformational changes during protein unfolding, a method based on the iterative use of normal mode calculation is proposed. The protein unfolding process is mimicked through breaking the native contacts between the residues one by one according to the fluctuations of the distance between them. With this approach, the unfolding processes of two proteins, CI2 and barnase, are simulated. It is found that the sequence of protein unfolding events revealed by this method is consistent with that obtained from thermal unfolding by molecular dynamics and Monte Carlo simulations. The results indicate that this method is effective in studying protein unfolding. In this method, only the native contacts are considered, which implies that the native topology may play an important role in the protein unfolding process. The simulation results also show that the unfolding pathway is robust against the introduction of some noise, or stochastic characters. Furthermore, several conformations selected from the unfolding process are studied to show that the denatured state does not behave as a random coil, but seems to have highly cooperative motions, which may help and promote the polypeptide chain to fold into the native state correctly and speedily.

Biologically enhanced sampling geometric docking and backbone flexibility treatment with multiconformational superposition

An efficient biologically enhanced sampling geometric docking method is presented based on the FTDock algorithm to predict the protein–protein binding modes. The active site data from different sources, such as biochemical and biophysical experiments or theoretical analyses of sequence data, can be incorporated in the rotation–translation scan. When discretizing a protein onto a 3‐dimensional (3D) grid, a zero value is given to grid points outside a sphere centered on the geometric center of specified residues. In this way, docking solutions are biased toward modes where the interface region is inside the sphere. We also adopt a multiconformational superposition scheme to represent backbone flexibility in the proteins. When these procedures were applied to the targets of CAPRI, a larger number of hits and smaller ligand root‐mean‐square deviations (RMSDs) were obtained at the conformational search stage in all cases, and especially Target 19. With Target 18, only 1 near‐native structure was retained by the biologically enhanced sampling geometric docking method, but this number increased to 53 and the least ligand RMSD decreased from 8.1 Å to 2.9 Å after performing multiconformational superposition. These results were obtained after the CAPRI prediction deadlines. Proteins 2005;60:319–323.

Identification of key residues for protein conformational transition using elastic network model

Proteins usually undergo conformational transitions between structurally disparate states to fulfill their functions. The large-scale allosteric conformational transitions are believed to involve some key residues that mediate the conformational movements between different regions of the protein. In the present work, a thermodynamic method based on the elastic network model is proposed to predict the key residues involved in protein conformational transitions. In our method, the key functional sites are identified as the residues whose perturbations largely influence the free energy difference between the protein states before and after transition. Two proteins, nucleotide binding domain of the heat shock protein 70 and human/rat DNA polymerase β, are used as case studies to identify the critical residues responsible for their open-closed conformational transitions. The results show that the functionally important residues mainly locate at the following regions for these two proteins: (1) the bridging point at the interface between the subdomains that control the opening and closure of the binding cleft; (2) the hinge region between different subdomains, which mediates the cooperative motions between the corresponding subdomains; and (3) the substrate binding sites. The similarity in the positions of the key residues for these two proteins may indicate a common mechanism in their conformational transitions.

Molecular dynamics simulations of the bacterial periplasmic heme binding proteins ShuT and PhuT.

ShuT and PhuT are two periplasmic heme binding proteins that shuttle heme between the outer and inner membranes of the Gram-negative bacteria. Periplasmic binding proteins (PBPs) generally exhibit considerable conformational changes during the ligand binding process, whereas ShuT and PhuT belong to a class of PBPs that do not show such behavior based on their apo and holo crystal structures. By employing a series of molecular dynamic simulations on the ShuT and the PhuT, the dynamics and functions of the two PBPs were investigated. Through monitoring the distance changes between the two conserved glutamates of ShuT and PhuT, it was found the two PBPs were more flexible than previously assumed, exhibiting obvious opening-closing motions which were more remarkable in the apo runs of ShuT. Based on the results of the domain motion analysis, large scale conformational transitions were found in all apo runs of ShuT and PhuT, hinting that the domain motions of the two PBPs may be intrinsic. On the basis of the results of the principle component analysis, distinct opening-closing and twisting motion tendencies were observed not only in the apo, but also in the holo simulations of the two PBPs. The Gaussian network model was applied in order to analyze the hinge bending regions. The most important bending regions of ShuT and PhuT are located around the midpoints of their respective connecting helixes. Finally, the flexibilities and the details of the simulations of ShuT and PhuT were discussed. Characterized by the remarkably large flexibilities, the loop constituted by Ala 169, Gly170 and Gly171 of ShuT and the beta-turn constituted by Ala176, Gly177 and Gly178 of PhuT may be important for the functions of the two PBPs. Furthermore, the Asn254 of ShuT and the Arg228 of PhuT may be indispensable for the binding or unbinding of heme, since it is involved in the important hydrogen bonding to the propionate side-chains of heme.

Study on the inhibitory mechanism and binding mode of the hydroxycoumarin compound NSC158393 to HIV-1 integrase by molecular modeling.

Human immunodeficiency virus type 1 integrase (IN) is an essential enzyme in the life cycle of this virus and also an important target for the study of anti‐HIV drugs. In this work, the binding modes of the wild type IN core domain and the two mutants, that is, W132G and C130S, with the 4‐hydroxycoumarin compound NSC158393 were evaluated by using the “relaxed complex” molecular docking approach combined with molecular dynamics (MD) simulations. Based on the monomer MD simulations, both of the two substitutions affect not only the stability of the 128–136 peptides, but also the flexibility of the functional 140s loop. In principle, NSC158393 binds the 128–136 peptides of IN; however, the specific binding modes for the three systems are various. According to the binding mode of NSC158393 with WT, NSC158393 can effectively interfere with the stability of the IN dimer by causing a steric hindrance around the monomer interface. Additionally, through the comparative analysis of the MD trajectories of the wild type IN and the IN‐NSC158393 complex, we found that NSC15893 may also exert its inhibitory function by diminishing the mobility of the function loop of IN. Three key binding residues, that is, W131, K136, and G134, were discovered by energy decomposition calculated with the Molecular Mechanics Generalized Born Surface Area method. Characterized by the largest binding affinity, W131 is likely to be indispensable for the ligand binding. All the above results are consistent with experiment data, providing us some helpful information for understanding the mechanism of the coumarin‐based inhibitors.

A soft docking algorithm for predicting the structure of antibody-antigen complexes.

An efficient soft docking algorithm is described for predicting the mode of binding between an antibody and its antigen based on the three‐dimensional structures of the molecules. The basic tools are the “simplified protein” model and the docking algorithm of Wodak and Janin. The side‐chain flexibility of Arg, Lys, Asp, Glu, and Met residues on the protein surface is taken into account. A combined filtering technique is used to select candidate binding modes. After energy minimization, we calculate a scoring function, which includes electrostatic and desolvation energy terms. This procedure was applied to targets 04, 05, and 06 of CAPRI, which are complexes of three different camelid antibody VHH variable domains with pig α‐amylase. For target 06, two native‐like structures with a root‐mean‐square deviation < 4.0 Å relative to the X‐ray structure were found within the five top ranking structures. For targets 04 and 05, our procedure produced models where more than half of the antigen residues forming the epitope were correctly predicted, albeit with a wrong VHH domain orientation. Thus, our soft docking algorithm is a promising tool for predicting antibody‐antigen recognition. Proteins 2003;52:47–50.

An Analysis of the Influence of Protein Intrinsic Dynamical Properties on its Thermal Unfolding Behavior

Abstract The influence of the protein topology-encoded dynamical properties on its thermal unfolding motions was studied in the present work. The intrinsic dynamics of protein topology was obtained by the anisotropic network model (ANM). The ANM has been largely used to investigate protein collective functional motions, but it is not well elucidated if this model can also reveal the preferred large-scale motions during protein unfolding. A small protein barnase is used as a typical case study to explore the relationship between protein topology- encoded dynamics and its unfolding motions. Three thermal unfolding simulations at 500 K were performed for barnase and the entire unfolding trajectories were sampled and partitioned into several windows. For each window, the preferred unfolding motions were investigated by essential dynamics analysis, and then associated with the intrinsic dynamical properties of the starting conformation in this window, which is detected by ANM. The results show that only a few slow normal modes imposed by protein structure are sufficient to give a significant overlap with the preferred unfolding motions. Especially, the large amplitude unfolding movements, which imply that the protein jumps out of a local energy basin, can be well described by a single or several ANM slow modes. Besides the global motions, it is also found that the local residual fluctuations encoded in protein structure are highly correlated with those in the protein unfolding process. Furthermore, we also investigated the relationship between protein intrinsic flexibility and its unfolding events. The results show that the intrinsic flexible regions tend to unfold early. Several early unfolding events can be predicted by analysis of protein structural flexibility. These results imply that protein structure-encoded dynamical properties have significant influences on protein unfolding motions.

Identification of functionally key residues in AMPA receptor with a thermodynamic method.

AMPA receptor mediates the fast excitatory synaptic transmission in the central nervous system, and it is activated by the binding of glutamate that results in the opening of the transmembrane ion channel. In the present work, the thermodynamic method developed by our group was improved and then applied to identify the functionally key residues that regulate the glutamate-binding affinity of AMPA receptor. In our method, the key residues are identified as those whose perturbation largely changes the ligand binding free energy of the protein. It is found that besides the ligand binding sites, other residues distant from the binding cleft can also influence the glutamate binding affinity through a long-range allosteric regulation. These allosteric sites include the hinge region of the ligand binding cleft, the dimer interface of the ligand binding domain, the linkers between the ligand binding domain and the transmembrane domain, and the interface between the N-terminal domain and the ligand binding domain. Our calculation results are consistent with the available experimental data. The results are helpful for our understanding of the mechanism of long-range allosteric communication in the AMPA receptor and the mechanism of channel opening triggered by glutamate binding.

Insight into the Inhibitory Mechanism and Binding Mode Between D77 and HIV-1 Integrase by Molecular Modeling Methods

Abstract Integrase is an essential enzyme in the life cycle of Human immunodeficiency virus type 1 (HIV-1) and also an important target for designing integrase inhibitors. In this paper, the binding modes between the wild type integrase core domain (ICD) and the W131A mutant ICD with the benzoic acid derivative—D77 were investigated using the molecular docking combined with molecular dynamics (MD) simulations. The result of MD simulations showed that the W131A substitution affected the flexibility of the region 150–167 in both the monomer A and B of the mutant type ICD. In principle, D77 interacted with the residues around the Lens Epithelium-Derived Growth Factor (LEDGF/p75) binding site which is nearby the HIV-1 integrase dimer interface. However, the specific binding modes for D77-wild type integrase and D77-mutant integrase systems are various. According to the binding mode of D77 with the wild type ICD, D77 can effectively intervene with the binding of LEDGF/p75 to integrase due to a steric hindrance effect around the LEDGF/p75 binding site. In addition, we found that D77 might also affect its inhibitory action by reducing the flexibility of the region 150–167 of integrase. Through energy decomposition calculated with the Molecular Mechanics Generalized Born Surface Area approach to estimate the binding affinity, it seems likely that W131 and E170 are indispensable for the ligand binding, as characterized by the largest binding affinity. All the above results are consistent with the experimental data, providing us with some helpful information not only for the understanding of the mechanism of this kind of inhibitor but also for the rational drug design.

Role of electrostatic interactions for the stability and folding behavior of cold shock protein

The impacts of three charged‐residue‐involved mutations, E46A, R3E, and R3E/L66E, on the thermostability and folding behavior of the cold shock protein from the themophile Bacillus caldolyticus (Bc‐Csp) were investigated by using a modified Gō‐like model, in which the nonspecific electrostatic interactions of charged residues were taken into account. Our simulation results show that the wild‐type Bc‐Csp and its three mutants are all two‐sate folders, which is consistent with the experimental observations. It is found that these three mutations all lead to a decrease of protein thermodynamical stability, and the effect of R3E mutation is the strongest. The lower stability of these three mutants is due to the increase of the enthalpy of the folded state and the entropy of the unfolded state. Using this model, we also studied the folding kinetics and the folding/unfolding pathway of the wild‐type Bc‐Csp as well as its three mutants and then discussed the effects of electrostatic interactions on the folding kinetics. The results indicate that the substitutions at positions 3 and 46 largely decrease the folding kinetics, whereas the mutation of residue 66 only slightly decreases the folding rate. This result agrees well with the experimental observations. It is also found that these mutations have little effects on the folding transition state and the folding pathway, in which the N‐terminal β sheet folds earlier than the C‐terminal region. We also investigated the detailed unfolding pathway and found that it is really the reverse of the folding pathway, providing the validity of our simulation results. Proteins 2010.