Mutual disposition of short conformationally stanch oligopeptides in the 3D structure of globular proteins

The disposition of conformationally stanch, helix-prone tetrapeptides and of longer segments containing them in proteins of different structural and functional groups (PDBselect and CATH samples) has been analyzed. Quasirandom Monte Carlo experiments show that the disposition of such segments can be regarded as stochastic. At that, ～60% of stanch peptides in the protein globules have at least one stanch neighbor within 5 Å.     

Short protein segments with prevalent conformation

Among the 160000 combinatorially possible tetrapeptides, 1500 tend to certain conformational states. Analysis of all high-resolution structures in PDB select reveals that most of the conformationally stanch tetrapeptides are in α-helical form. Their composition is analyzed.     

Preferred conformations of RGDX tetrapeptides to inhibit the binding of fibrinogen to platelets

The conformational study on Arg-Gly-Asp (RGD)-containing tetrapeptides in the unhydrated and hydrated states has been carried out using the force field ECEPP/3 and the hydration shell model. The tetrapeptides studied here are H-RGDX-OH (X = Trp, Tyr, Phe, Leu, Val, Cys, Gln, and Ser), which show the inhibitory activity for binding of fibrinogen to platelets in the order of RGDW approximately equal to RGDY approximately equal to RGDF approximately equal to RGDL > RGDV > or = RGDC > or = RGDQ > or = RGDS. The backbone conformations with two C(7) backbone-to-backbone hydrogen bonds between Asp and Arg residues and between Xaa and Gly residues are in common most probable for the RGD sequence of RGDX tetrapeptides in the hydrated state. The dominant beta-turns for RGDX are found to be the types V' and IV at Gly-Asp and Asp-Xaa sequences, respectively, which are quite similar to the types II' and I (or II), respectively. However, it cannot be ruled out that the extended conformations are also remarkably feasible for RGDX tetrapeptides in water by peering the distributions of backbone conformations. These calculated results are consistent with the experimental results on RGD-containing proteins and conformationally constrained RGD-containing peptides. The reason why the RGDX becomes more potent as the side chain of the X residue is more hydrophobic may be ascribed to that the more hydrophobic is the residue X, the more populated are beta-turn structures for the Gly-Asp sequence. The hydrophobic side chain of X residue exposed to water is likely to interact with the hydrophobic region of receptor easily.     

VICMpred： An SVM-based Method for the Prediction of Functional Proteins of Gram-negative Bacteria Using Amino Acid Patterns and Composition

In this study, an attempt has been made to predict the major functions of gramnegative bacterial proteins from their amino acid sequences. The dataset used for training and testing consists of 670 non-redundant gram-negative bacterial proteins （255 of cellular process, 60 of information molecules, 285 of metabolism, and 70 of virulence factors）. First we developed an SVM-based method using amino acid and dipeptide composition and achieved the overall accuracy of 52.39% and 47.01%, respectively. We introduced a new concept for the classification of proteins based on tetrapeptides, in which we identified the unique tetrapeptides significantly found in a class of proteins. These tetrapeptides were used as the input feature for predicting the function of a protein and achieved the overall accuracy of 68.66%. We also developed a hybrid method in which the tetrapeptide information was used with amino acid composition and achieved the overall accuracy of 70.75%. A five-fold cross validation was used to evaluate the performance of these methods. The web server VICMpred has been developed for predicting the function of gram-negative bacterial proteins （http：//www.imtech.res.in/raghava/vicmpred/）.     

Prediction of β-Turns

Kohonen's self-organization model, a neural network model, is applied to predict the β-turns in proteins. There are 455 β-turn tetrapeptides and 3807 non-β-turn tetrapeptides in the training database. The rates of correct prediction for the 110 β-turn tetrapeptides and 30,229 non-β-turn tetrapeptides in the testing database are 81.8% and 90.7%, respectively. The high quality of prediction of neural network model implies that the residue-coupled effect along a polypeptide chain is important for the formation of reversal turns, such as β-turns, during the process of protein folding.     

Gabapentin hybrid peptides and bioconjugates

Synthetic approaches to gabapentin bioconjugates that overcome the tendency of gabapentin to cyclize into its γ-lactam are studied. Gabapentin was converted by N-acylation at its N-terminus into di-, tri-, and tetrapeptides (l-Ala-Gbp, l-Val-Gbp, l-Ala-l-Phe-Gbp, Gly-l-Ala-β-Ala-Gbp). Carboxyl-activated Boc-protected gabapentin was used to N-, O-, and S-acylate small peptides and hormones to give conjugates that could also provide prodrugs containing conformationally constrained gabapentin units.     

The cardinal principle of like attracting like generates many ubiquitous oligopeptides shared by divergent proteins

Actual protein amino acid sequences are very different from random assemblages of 20 varieties of amino acids. The separate survey of 20 unrelated proteins in two steps that included eight of the 18 discussed in this paper, revealed that at the level of 5000 total residues, one out of every 32 tetrapeptides appeared in two or more identical copies, whereas at the level of 10 000 total residues, the frequency was elevated to one out of every 29. It would thus appear that only 60 000 or so, out of the possible 160 000 (20⁴) varieties of tetrapeptides, are regularly used by all proteins. These shall be defined as ubiquitous tetrapeptides. Those tetrapeptides occasionally found to be stray which did not belong to the above group of 60 000 must have been generated by new mutations. Thus, they are expected to return to the group by subsequent mutations. The above ubiquity is due to the cardinal principle of protein construction which is like attracting like. On the average, 28% of each residue is devoted to the formation of homodipeptides such as Leu-Leu, Asn-Asn and Trp-Trp. Consequently, homo-oligopeptides, pentapeptidic and longer, are readily found in two or more proteins unrelated to each other. The next in line among the ubiquitous oligopeptides are those made of similar residues. They usually contain palindromic cores such as Leu-Val-Leu, Ala-Gly-Ala and Lys-Arg-Lys. For example, the hexapeptide Ala-Gly-Ala-Asp-Ala-Ala is shared between human phosphofructokinase and bacterial cytochrome C. Provided that they are longer than 60 residues, all proteins contain repeating oligopeptides, tetrapeptidic to heptapeptidic in length. The above principle of like attracting like is the very reason that hydropathic profiles of most proteins readily yield alternating stretches of hydrophilic and hydrophobic segments.     

Left-handed helix conformation of poly-L-proline II type in globular proteins. Statistics of incidence and a role of sequence]

Regions of left-handed polyproline II type conformation in globular proteins were studied throughout the PDB bank. The length and sequence of corresponding fragments were analyzed. It was found that a lot of tetrapeptides (from combinatorial possible ones) show the tendency to be included in the left-handed helices. Much more tetrapeptides do not occur in this structure type.     

Interconnection between the globule architecture and disposition of conformationally stanch oligopeptides in proteins of the same structural family

It has been shown that selective interactions between helical segments of macromolecules can be realized in globular proteins in the segments characterized by the same periodicities of charge distribution, i.e., conformationally stanch oligopeptides (CSOPs). It has been found that in the macromolecules of α-helical proteins, CSOPs are disposed at distances characteristic of direct interactions. For representatives of many structural families of α-type proteins, family-specific disposition of CSOPs is observed. The similar disposition of conformationally stanch segments is not related to amino acid sequence homology but reflects peculiarities of native 3D architectures of protein globules.     

Molecular sorting of proteins into the cisternal secretory pathway

Cotranslational translocation of exportable proteins across the RER membrane prior to their release into the extracellular space has been essentially described by use of canine pancreatic microsomal membranes. Intracisternal segregation of nascent secretory proteins was observed to be irreversible and proteolytic removal of signal sequences resulted in conformationally mature and stable proteins. Structural studies on various translocation peptides from both eukaryotic and prokaryotic preparations showed that many of them have a comparable three-domain organization. A hydrophilic amino-terminal domain is followed by a core region of hydrophobic amino acids and by the region in which the proteolytic cleavage occurs. Membrane components involved in the translocation process namely the signal recognition particle and the SRP receptor as well as the way the vectorial transport mechanism of nascent secretory proteins occurs are also discussed.     

Prediction of beta-turns with learning machines

The support vector machine approach was introduced to predict the beta-turns in proteins. The overall self-consistency rate by the re-substitution test for the training or learning dataset reached 100%. Both the training dataset and independent testing dataset were taken from Chou [J. Pept. Res. 49 (1997) 120]. The success prediction rates by the jackknife test for the beta-turn subset of 455 tetrapeptides and non-beta-turn subset of 3807 tetrapeptides in the training dataset were 58.1 and 98.4%, respectively. The success rates with the independent dataset test for the beta-turn subset of 110 tetrapeptides and non-beta-turn subset of 30,231 tetrapeptides were 69.1 and 97.3%, respectively. The results obtained from this study support the conclusion that the residue-coupled effect along a tetrapeptide is important for the formation of a beta-turn.     

Conformationally stable segments in helical structures of polypeptide chains of proteins and their role in high level structures formation

In the work the arguments are presented in favor of the idea on the role of conformationally stable oligopeptides in specific long-distance interactions in phenomena of molecular recognition during various biological processes. Original authors’ and literature data are taken into account. The examples of conformationally stable short oligopeptides participating in alpha-helix and collagen type structures formation are given simultaneously with theoretical approaches. The conformationally stable oligopeptides obtained in the course of PDB bank analysis are discussed. The role of amino acid sequence in collagen helix formation is shown.     

Structural characterization of BRCT-tetrapeptide binding interactions

BRCT(BRCA1) plays a major role in DNA repair pathway, and does so by recognizing the conserved sequence pSXXF in its target proteins. Remarkably, tetrapeptides containing pSXXF motif bind with high specificity and micromolar affinity. Here, we have characterized the binding interactions of pSXXF tetrapeptides using NMR spectroscopy and calorimetry. We show that BRCT is dynamic and becomes structured on binding, that pSer and Phe residues dictate overall binding, and that the binding affinities of the tetrapeptides are intimately linked to structural and dynamic changes both in the BRCT(BRCA1) and tetrapeptides. These results provide critical insights for designing high-affinity BRCT(BRCA1) inhibitors.     

A catalogue of phi, psi and omega torsion angles for tetrapeptides in proteins

This work examined the degree of consistency, over multiple occurrences in several proteins, of conformations of tetrapeptides. A data base of 114 proteins was taken from the Brookhaven Data Bank. The number of occurrences of every tetrapeptide in these proteins was counted. For each tetrapeptide which occurred more than 6 times all phi, psi and omega angles were calculated and averaged over the occurrences. Due to the limitations of the data base there were only 24 tetrapeptides in this category. This does not provide sufficient information for the extensive prediction of structures which are not homologous to those already in the data base but the effectiveness of structure prediction can be expected to increase with the size of the data base.     

Prediction of β-turns in proteins by 1-4 and 2-3 correlation model

A 1–4 and 2–3 residue-correlation model is proposed to predict the β-turns in proteins. The average rate of correct prediction for the 455 β-turn tetrapeptides and 4018 non-β-turn tetrapeptides in the training data base is 80.1%, and that for the 223 β-turn tetrapeptides and 12562 non-β-turn tetrapeptides in the testing data base is 80.9%. Compared with the rates of correct prediction based on the residue-independent model reported previously, the quality of prediction is significantly improved by the new model, implying that the correlation effect between the 1st and the 4th residues and that between the 2nd and 3rd residues along a tetrapeptide are important for forming a β-turn in a protein during the process of its folding. © 1997 John Wiley & Sons, Inc. Biopoly 41: 673–702, 1997     

A new enzymic method for determination of glutamine in proteins or peptides using peptidoglutaminases

An enzymic method has been developed for the determination of glutamine in peptides or proteins using using two peptidoglutaminases (PGase-I and II). The amount of glutamine in peptides smaller than tripeptides or free glutamine was quantitatively determined from the amount of ammonia formed by means of the action of PGase-I and II. Estimation of glutamine in proteins was performed after partial digestion of sample proteins with proteinase(s) because glutamine in peptides greater than tetrapeptides is resistant to deamidation with PGase-II. By predigestion with subtilinopeptidase-A or with both pepsin and subtilinopeptidase-A, quantitative estimation of glutamine in insulin, glucagon, lysozyme and ribonuclease-A was possible using PGase-I and II.     

Expansion of protein interaction maps by phage peptide display using MDM2 as a prototypical conformationally flexible target protein

Expanding on the possible protein interaction partners in a biochemical pathway is one key molecular goal in the post-genomic era. Phage peptide display is a versatile in vitro tool for mapping novel protein-protein interfaces and the advantage of this technique in expanding protein interaction maps is that in vitro manipulation of the bait protein conformational integrity can be controlled carefully. Phage peptide display was used to expand on the possible types of binding proteins for the conformationally responsive protein MDM2. Peptides enriched differ depending upon whether MDM2 is ligand-free, zinc-bound, or RNA-bound, suggesting that MDM2 conformational changes alter the type of peptide ligands enriched. Classes of putative/established MDM2-binding proteins identified by this technique included ubiquitin-modifying enzymes (F-box proteins, UB-ligases, UBC-E1) and apoptotic modifiers (HSP90, GAS1, APAF1, p53). Of the many putative MDM2 proteins that could be examined, the impact of HSP90 on MDM2 activity was studied, since HSP90 has been linked with p53 protein unfolding in human cancers. Zinc ions were required to reconstitute a stable MDM2-HSP90 protein complex. Zinc binding converted MDM2 from a monomer to an oligomer, and activated MDM2 binding to its internal RING finger domain, providing evidence for a conformational change in MDM2 protein when it binds zinc. Reconstitution of an HSP90-MDM2 protein complex in vitro stimulated the unfolding of the p53 tetramer. A p53 DNA-binding inhibitor purified from human cells that is capable of unfolding p53 at ambient temperature in vitro contains co-purifying pools of HSP90 and MDM2. These data highlight the utility of phage peptide display as a powerful in vitro method to identify regulatory proteins that bind to a conformationally flexible protein like MDM2.     

Design of bioactive and structurally well-defined peptides from conformationally restricted libraries

Libraries of peptides and proteins can be categorized according to the function of their origin in gene- and synthetic-based libraries. Both kinds of libraries have the potential to generate the same grade of molecular diversity, although the limits imposed by the synthetic methods have been lately a matter of discussion. However, the use of synthetic strategies allows incorporation of non-natural amino acids. The development of conformationally restricted synthetic peptide libraries can be considered as a point of convergence of the two methodologies. In these libraries the diversity is grafted into scaffolds that are defined by stable secondary structural motifs, and the deconvolution protocols can be directed towards the identification of biologically active molecules and the analysis of determinants of folding of protein domains.     

Ordered conformational change in the protein backbone: prediction of conformationally variable positions from sequence and low-resolution structural data

Ordered conformational changes are an important structural property of proteins and are involved in a variety of fundamental biological activities. Large-scale analyses of the implications of such changes for protein function and dysfunction require efficient methods for automated recognition of conformationally variable residue positions. The goal of this work was to study sequence and low-resolution structural properties of residue positions that change backbone conformation upon changes in protein environment and the utility of these properties for automated recognition of such conformationally variable positions. This study was performed using a large nonredundant set of experimentally characterized proteins that undergo ordered conformational transitions obtained from the Database of Macromolecular Movements. The results of this study show that ordered changes in backbone conformation are not limited to solvent accessible loop regions. A considerable fraction of conformationally variable positions is observed in helices and strands, and in buried positions. Conformationally variable positions are less conserved in evolution. Local patterns of (a) sequence neighbors, (b) evolutionary conservation, and (c) solvent accessibility can be used to predict conformationally variable positions with balanced sensitivity and specificity, albeit with large variance at the level of individual proteins. However, including a pattern of secondary structure into the prediction scheme results in a highly unbalanced performance when all conformationally variable positions located in regular secondary structure are misclassified. Application of the present methodology to the prion protein (PrP) shows that conformationally variable positions predicted in its ordered C-terminal domain are located within segments presumed to be involved in refolding of PrP.     

Formation of ion-selective channel using cyclic tetrapeptides

It is important for ion channel peptides to have energetic stability and ion-selectivity for development of some medicines. In the present study, our objective was to achieve formation of energetically stable and ion-selective channels in the membrane using cyclic tetrapeptides. We succeeded in formation of energetically stable and ion-selective channels using two cyclic tetrapeptides cyclo(D-Ala-Dap)(2) (Dap; l-2,3-diaminopropionic acid) and cyclo(D-Ala-Glu)(2). The results of ion channel recording suggested that the cationic cyclo(D-Ala-Dap)(2) was resulted in Cl(-) anion-selective and the anionic cyclo(D-Ala-Glu)(2) led to K(+) cation-selective ion channel formation, respectively. This ion selectivity may be attributed to the charge state of peptides. And a low-hydrophobic cyclic tetrapeptide; cyclo(D-Ala-Dap)(2) had a tendency to form stable ion channel compared to more high-hydrophobic ones; cyclo(D-Phe-Lys)(2), cyclo(D-Phe-Dap)(2) and cyclo(D-Ala-Lys)(2). Our findings will shed light on the field of ion channel peptide study, especially cyclic one.