Functional concerted motions in the bovine serum retinol-binding protein

Molecular dynamics study of naturally existing cavity couplings in proteins

Couplings between protein sub-structures are a common property of protein dynamics. Some of these couplings are especially interesting since they relate to function and its regulation. In this article we have studied the case of cavity couplings because cavities can host functional sites, allosteric sites, and are the locus of interactions with the cell milieu. We have divided this problem into two parts. In the first part, we have explored the presence of cavity couplings in the natural dynamics of 75 proteins, using 20 ns molecular dynamics simulations. For each of these proteins, we have obtained two trajectories around their native state. After applying a stringent filtering procedure, we found significant cavity correlations in 60% of the proteins. We analyze and discuss the structure origins of these correlations, including neighbourhood, cavity distance, etc. In the second part of our study, we have used longer simulations (≥100 ns) from the MoDEL project, to obtain a broader view of cavity couplings, particularly about their dependence on time. Using moving window computations we explored the fluctuations of cavity couplings along time, finding that these couplings could fluctuate substantially during the trajectory, reaching in several cases correlations above 0.25/0.5. In summary, we describe the structural origin and the variations with time of cavity couplings. We complete our work with a brief discussion of the biological implications of these results.

New insights in the activation of human cholesterol esterase to design potent anti-cholesterol drugs

Primary hypercholesterolemia is the root cause for major health issues like coronary heart disease and atherosclerosis. Regulating plasma cholesterol level, which is the product of biosynthesis as well as dietary intake, has become one of the major therapeutic strategies to effectively control these diseases. Human cholesterol esterase (hCEase) is an interesting target involved in the regulation of plasma cholesterol level and thus inhibition of this enzyme is highly effective in the treatment of hypercholesterolemia. This study was designed to understand the activation mechanism that enables the enzyme to accommodate long chain fatty acids and to identify the structural elements for the successful catalysis. Primarily the activation efficiencies of three different bile salts were studied and compared using molecular dynamics simulations. Based on the conformations of major surface loops, hydrogen bond interactions, and distance analyses, taurocholate was concluded as the preferred activator of the enzyme. Furthermore, the importance of two bile salt binding sites (proximal and remote) and the crucial role of 7α-OH group of the bile salts in the activation of hCEase was examined and evidenced. The results of our study explain the structural insights of the activation mechanism and show the key features of the bile salts responsible for the enzyme activation which are very useful in hypolipidemic drug designing strategies.

Wards in the keyway: amino acids with anomalous pK(a)s in calycins

As a follow-up to our recent analysis of the electrostatics of bovine β-lactoglobulin (Eberini et al. in Amino Acids 42:2019-2030, 2011), we investigated whether the occurrence in the native structure of calycins-the superfamily to which β-lactoglobulin belongs-of amino acids with anomalous pK (a)s is an infrequent or, on the contrary, a common occurrence, and whether or not a general pattern may be recognized. To this aim, we randomly selected four calycins we had either purified from natural sources or prepared with recombinant DNA technologies during our previous and current structural and functional studies on this family. Their pIs vary over several pH units and their known functions are as diverse as carriers, enzymes, immunomodulators and/or extracellular chaperones. In our survey, we used both in silico prediction methods and in vitro procedures, such as isoelectric focusing, electrophoretic titration curves and spectroscopic techniques. By comparing the results under native conditions (no exposure of the proteins to chaotropic agents) to those after protein unfolding (in the presence of 8 M urea), a shift is observed in the pK (a) of at least one amino acid per protein, which results in a measurable change in pI. Three types of amino acids are involved: Cys, Glu, and His, their position varies along the calycin sequence. Although no common mechanism may thus be recognized, we hypothesize that the 'normalization' of anomalous pK (a)s may be the phenomenon that accompanies, and favors, structural rearrangements such as those involved in ligand binding by these proteins. An interesting, if anecdotal, validation to this view comes from the behavior of human retinol binding protein, for which the pI of the folded and liganded protein is intermediate between those of the folded and unliganded and of the unfolded protein forms. Likewise, both solid (from crystallography) and solution state (from CD spectroscopy) data confirm that the protein undergoes structural rearrangement upon retinol binding.

Exploring the molecular basis of heme coordination in human neuroglobin

Neuroglobin (Ngb), a recently discovered ancient heme protein, presents the typical globin fold and is around 20% identical to myoglobin (Mb). In contrast with Mb, however, its heme is hexacoordinated (6c). It is expressed in the nervous system and has been the subject of numerous investigations in the last years, but its function is still unclear. The proposed roles include oxygen transport, reactive oxygen species (ROS) detoxification, hypoxia protection, and redox state sensing. All proposed functions require distal histidine dissociation from the heme to yield a reactive iron. With the aim of understanding the 6c to 5c transition, we have performed molecular dynamics simulations for ferrous Ngb in the 6c, 5c, and oxy states. We also computed free energy profiles associated with the transition employing an advanced sampling technique. Finally, we studied the effect of the redox state of CysCD7 and CysD5, which are known to form a disulfide bridge. Our results show that protein oxidation promotes a stabilization of the pentacoordinated species, thus favoring the protein to adopt the more reactive state and supporting the existence of a molecular mechanism whereby O2 would be released under hypoxic conditions, thereby suggesting an O(2) storage function for Ngb. Taken together, our results provide structural information not available experimentally which may shed light on the protein proposed functions, particularly as a redox sensor.

Identifying allosteric fluctuation transitions between different protein conformational states as applied to Cyclin Dependent Kinase 2

BACKGROUND

The mechanisms underlying protein function and associated conformational change are dominated by a series of local entropy fluctuations affecting the global structure yet are mediated by only a few key residues. Transitional Dynamic Analysis (TDA) is a new method to detect these changes in local protein flexibility between different conformations arising from, for example, ligand binding. Additionally, Positional Impact Vertex for Entropy Transfer (PIVET) uses TDA to identify important residue contact changes that have a large impact on global fluctuation. We demonstrate the utility of these methods for Cyclin-dependent kinase 2 (CDK2), a system with crystal structures of this protein in multiple functionally relevant conformations and experimental data revealing the importance of local fluctuation changes for protein function.

RESULTS

TDA and PIVET successfully identified select residues that are responsible for conformation specific regional fluctuation in the activation cycle of Cyclin Dependent Kinase 2 (CDK2). The detected local changes in protein flexibility have been experimentally confirmed to be essential for the regulation and function of the kinase. The methodologies also highlighted possible errors in previous molecular dynamic simulations that need to be resolved in order to understand this key player in cell cycle regulation. Finally, the use of entropy compensation as a possible allosteric mechanism for protein function is reported for CDK2.

CONCLUSION

The methodologies embodied in TDA and PIVET provide a quick approach to identify local fluctuation change important for protein function and residue contacts that contributes to these changes. Further, these approaches can be used to check for possible errors in protein dynamic simulations and have the potential to facilitate a better understanding of the contribution of entropy to protein allostery and function.

Wiggle-predicting functionally flexible regions from primary sequence

The Wiggle series are support vector machine-based predictors that identify regions of functional flexibility using only protein sequence information. Functionally flexible regions are defined as regions that can adopt different conformational states and are assumed to be necessary for bioactivity. Many advances have been made in understanding the relationship between protein sequence and structure. This work contributes to those efforts by making strides to understand the relationship between protein sequence and flexibility. A coarse-grained protein dynamic modeling approach was used to generate the dataset required for support vector machine training. We define our regions of interest based on the participation of residues in correlated large-scale fluctuations. Even with this structure-based approach to computationally define regions of functional flexibility, predictors successfully extract sequence-flexibility relationships that have been experimentally confirmed to be functionally important. Thus, a sequence-based tool to identify flexible regions important for protein function has been created. The ability to identify functional flexibility using a sequence based approach complements structure-based definitions and will be especially useful for the large majority of proteins with unknown structures. The methodology offers promise to identify structural genomics targets amenable to crystallization and the possibility to engineer more flexible or rigid regions within proteins to modify their bioactivity.

Analysis methods for identifying coordinated movements during ligand unbinding

Molecular dynamics simulations have been applied to unbind biological ligands from their receptors. Conformation changes are observed in the biomolecules during unbinding, but there exists no systematic method to detect these conformation changes. In this work, we have used 'essential dynamics' (ED) and projection to latent structures (PLS) to investigate the conformation changes of the bovine serum retinol-binding protein when retinol unbinds from its receptor site. The results of these analyses characterise a large proportion of the movements that occur during unbinding. We find that the loop regions of retinol-binding protein exhibit the largest movements during unbinding. The sudden changes in unbinding speed during the unbinding process appear not to be caused by sudden changes in protein structure.

Concerted motions in copper plastocyanin and azurin: an essential dynamics study

Essential dynamics analysis of molecular dynamics simulation trajectories (1.1 ns) of two copper containing electron transfer proteins, plastocyanin and azurin, has been performed. The protein essential modes have been analysed in order to identify large concerted motions which could be relevant for the electron transfer function exerted by these proteins. The analysis, conducted for temporal windows of different lengths along the protein trajectories, shows a rapid convergence and indicates that for both the proteins the predominant internal motions occur in a subspace of only a few degrees of freedom. Moreover, it is found that for both the proteins the likely binding sites (i.e. the hydrophobic and negative patches) with the reaction partners move in a concerted fashion with a few structural regions far from the active site. Such results are discussed in connection with the possible involvement of large concerted motions in the recognition and binding interaction with physiological electron transfer partners.

Anisotropy of fluctuation dynamics of proteins with an elastic network model

Fluctuations about the native conformation of proteins have proven to be suitably reproduced with a simple elastic network model, which has shown excellent agreement with a number of different properties for a wide variety of proteins. This scalar model simply investigates the magnitudes of motion of individual residues in the structure. To use the elastic model approach further for developing the details of protein mechanisms, it becomes essential to expand this model to include the added details of the directions of individual residue fluctuations. In this paper a new tool is presented for this purpose and applied to the retinol-binding protein, which indicates enhanced flexibility in the region of entry to the ligand binding site and for the portion of the protein binding to its carrier protein.