The polymerization of amino acid adenylates on sodium-montmorillonite with preadsorbed polypeptides

We studied the spontaneous polymerization of amino acid adenylates on Na-montmorillonite in dilute, neutral suspension, after polypeptides were adsorbed on the clay. This led to the unexpected finding that the degrees of polymerization (DP's) of the oligo- and poly-peptides obtained depended on the amounts of polypeptides that were preadsorbed. Plotting average molecular weights obtained against c-spacings of the clay platelet aggregates which widened as a result of polypeptide addition and adsorption before the polymerization, does not permit an obvious explanation of these observations. The best correlation assigns a role to the fractional occupation of the individual intercalation layers of the polypeptides, as the adsorption increases towards a first complete mono-interlayer, then to an incipient and eventually to a complete double layer on to a third interlayer, after which the clay stacking breaks up. Spacings which correspond to an intermediate occupation of any of the three successive interlayers favor amino acids self-addition to polymers. The opposite is true for nearly empty or filled intercalation layers. We hypothesize and describe, how a catalytic activity may derive from c-spacings that offer adsorption sites for the reagent amino acid adenylate within the peripheral recesses of irregularly stacked clay platelets by bringing the anhydride bonds and neutral amino groups into favorable reaction distances. Moderately filled intercalation spaces may also act as sinks for the newly formed oligomers and facilitate the freeing of reaction sites for the occupation by fresh reagent. The c-spacings required for these mechanisms are the result of the intercalation of the preadsorbed polymer, but similar conditions prevail when polymers are adsorbed as they are generated during polymerization.     

Exceptional pairs of amino acid neighbors in alpha-helices

Amino acids seem to have specific preferences for various locations in alpha-helices. These specific preferences, called singlet local propensity (SLP), have been determined by calculating the preference of occurrence of each amino acid in different positions of the alpha-helix. We have studied the occurrence of amino acids, single or pairs, in different positions, singlet or doublet, of alpha-helices in a database of 343 non-homologous proteins representing a unique superfamily from the SCOP database with a resolution better than 2.5 A from the Protein Data Bank. The preference of single amino acids for various locations of the helix was shown by the relative entropy of each amino acid with respect to the background. Based on the total relative entropy of all amino acids occurring in a single position, the N(cap) position was found to be the most selective position in the alpha-helix. A rigorous statistical analysis of amino acid pair occurrences showed that there are exceptional pairs for which, the observed frequency of occurrence in various doublet positions of the alpha-helix is significantly different from the expected frequency of occurrence in that position. The doublet local propensity (DLP) was defined as the preference of occurrences of amino acid pairs in different doublet positions of the alpha-helix. For most amino acid pairs, the observed DLP (DLP(O)) was nearly equal to the expected DLP (DLP(E)), which is the product of the related SLPs. However, for exceptional pairs of amino acids identified above, the DLP(O) and DLP(E) values were significantly different. Based on the relative values of DLP(O) and DLP(E), exceptional amino acid pairs were divided into two categories. Those, for which the DLP(O) values are higher than DLP(E), should have a strong tendency to pair together in the specified position. For those pairs which the DLP(O) values are less than DLP(E), there exists a hindrance in neighboring of the two amino acids in that specific position of the alpha-helix. These cases have been identified and listed in various tables in this paper. The amount of mutual information carried by the exceptional pairs of amino acids was significantly higher than the average mutual information carried by other amino acid pairs. The average mutual information conveyed by amino acid pairs in each doublet position was found to be very small but non-zero.     

N-terminal amino acid sequences and amino acid compositions of the Spirochaeta aurantia flagellar filament polypeptides.

The amino-terminal sequences and amino acid compositions of the three major and two minor polypeptides constituting the filaments of Spirochaeta aurantia periplasmic flagella were determined. The amino-terminal sequence of the major 37.5-kDa outer layer polypeptide is identical to the sequence downstream of the proposed signal peptide of the protein encoded by the S. aurantia flaA gene. However, the amino acid composition of the 37.5-kDa polypeptide is not in agreement with that inferred from the sequence of flaA. The 34- and 31.5-kDa major filament core polypeptides and the 33- and 32-kDa minor core polypeptides show a striking similarity to each other, and the amino-terminal sequences of these core polypeptides show extensive identity with homologous proteins from members of other genera of spirochetes. An additional 36-kDa minor polypeptide that occurs occasionally in preparations of S. aurantia periplasmic flagella appears to be mixed with the 37.5-kDa outer layer polypeptide or a degradation product of this polypeptide.     

Effect of amino acid ion pairs on peptide helicity

The three ER ion pairs in the peptide acetyl-W(EAAAR)3A-amide were replaced in turn with the ion pairs EK, EO, DR, DK, and DO, where O represents an ornithine residue. The far-ultraviolet circular dichroic spectra of the six peptides measured in 10 mM NaCl at pH 2 and 0 degrees C form a nested set having an isodichroic point at 203 nm of -17,000 deg cm2 dmol-1. The ellipticity values of the six peptides at 222 nm range from -31,600 to -7400 deg cm2 dmol-1 in the order listed. Changing the pH of each peptide solution from 2 to 13 also generates a nested set of dichroic spectra with the same isodichroic values. Increasing the pH from 2 to 7 differentially increases the ellipticity at 222 nm in a single transition having an apparent pK of 4.1 for the E-containing peptides are 3.6 for the D-containing peptides. Increasing the pH beyond neutrality differentially decreases the ellipticity at 222 nm in a single transition having an apparent pK of greater than or equal to 13.2 for the R-containing peptides, 11.1 for the K-containing peptides, and 10.7 for the O-containing peptides. It is proposed that the difference in the ellipticity of the six peptides chiefly reflects the helix preferences for the variable residues supplemented by intrahelical electrostatic interactions in the neutral pH range.     

Support Vector Machine-based classification of protein folds using the structural properties of amino acid residues and amino acid residue pairs

MOTIVATION: Fold recognition is a key step in the protein structure discovery process, especially when traditional sequence comparison methods fail to yield convincing structural homologies. Although many methods have been developed for protein fold recognition, their accuracies remain low. This can be attributed to insufficient exploitation of fold discriminatory features. RESULTS: We have developed a new method for protein fold recognition using structural information of amino acid residues and amino acid residue pairs. Since protein fold recognition can be treated as a protein fold classification problem, we have developed a Support Vector Machine (SVM) based classifier approach that uses secondary structural state and solvent accessibility state frequencies of amino acids and amino acid pairs as feature vectors. Among the individual properties examined secondary structural state frequencies of amino acids gave an overall accuracy of 65.2% for fold discrimination, which is better than the accuracy by any method reported so far in the literature. Combination of secondary structural state frequencies with solvent accessibility state frequencies of amino acids and amino acid pairs further improved the fold discrimination accuracy to more than 70%, which is approximately 8% higher than the best available method. In this study we have also tested, for the first time, an all-together multi-class method known as Crammer and Singer method for protein fold classification. Our studies reveal that the three multi-class classification methods, namely one versus all, one versus one and Crammer and Singer method, yield similar predictions. AVAILABILITY: Dataset and stand-alone program are available upon request.     

Uneven distribution of amino acid substitutions throughout the amino acid sequence of homologous proteins]

A set of aligned homologous protein sequences is divided into two groups consisting of m and n most related sequences. The value of position variability for homologous protein sequences is defined as a number of failures to coincide in the intergroup comparison of all possible m*n pairs of amino acid residues in that position divided by m*n. The position variability value plotted versus the sequence position number with a window of 10 positions gives the intergroup local variability profile. Area S of the figure included between the local variability profile and the straight line corresponding to the mean local variability value is compared with the average area Sr for 1000 random homologous protein families. If S is greater than Sr by more than 2 standard deviation units sigma r, the local variability profile is assumed to contain peaks and hollows corresponding to significant variable and conservative regions of the sequences. The profile extrema containing the area surplus delta S = S-(Sr+ 2 sigma r) are cut off by two straight lines to locate significant regions. The difference (S-Sr) given in standard deviation units sigma r is believed to be the amino acid substitution overall irregularity along the homologous protein sequences OI = (S-Sr)/sigma r. The significant conservative and variable regions of six homologous sequence families (phospholipase A2, cytochromes b, alpha-subunits of Na,K-ATPase, L- and M-subunits of photosynthetic bacteria photoreaction centre and human rhodopsins) were identified. It was shown that for artificial homologous protein sequences derived by k-fold lengthening of natural protein sequences, the OI value rises as square root of k. To compare the degree of substitution irregularity in homologous protein sequence families of different lengths L the value of standard substitution overall irregularity for L = 250 is proposed.     

Cell wall polypeptides of Polyphysa (Acetabularia) cliftonii: amino acid composition of stalk and cap cell wall polypeptides

The amino acid composition of stalk and cap cell wall polypeptides of the unicellular alga $\text{Polyphysa (A.) cliftonii}$ has been investigated. In spite of chemical and physical differences between stalk and can cell wall polysaccharides, the amino acid composition of the cell wall polypeptides appeared qualitatively similar in both structures. however, quantitative differences have been observed. The results are discussed on the basis of a possible role of the polypeptides in the growth of the cell wall.     

Incorporation of nonnatural amino acids into proteins by using five-base codon-anticodon pairs.

A novel strategy for the incorporation of nonnatural amino acids into proteins was developed by using five-base codon-anticodon pairs. The streptavidin mRNA containing five-base codon CGGUA and the chemically aminoacylated tRNA with five-base anticodon UACCG were prepared, and added into E. coli in vitro translation system. As a result, the nonnatural amino acid was successfully incorporated into desired position of the protein. Other five-base codons CGGN1N2, where N1 and N2 indicate one of four nucleotides, were also available for the incorporation of the nonnatural amino acid.     

Protein structure, neighbor effect, and a new index of amino acid dissimilarities.

Amino acids interact with each other, especially with neighboring amino acids, to generate protein structures. We studied the pattern of association and repulsion of amino acids based on 24,748 protein-coding genes from human, 11,321 from mouse, and 15,028 from Escherichia coli, and documented the pattern of neighbor preference of amino acids. All amino acids have different preferences for neighbors. We have also analyzed 7,342 proteins with known secondary structure and estimated the propensity of the 20 amino acids occurring in three of the major secondary structures, i.e., helices, sheets, and turns. Much of the neighbor preference can be explained by the propensity of the amino acids in forming different secondary structures, but there are also a number of intriguing association and repulsion patterns. The similarity in neighbor preference among amino acids is significantly correlated with the number of amino acid substitutions in both mitochondrial and nuclear genes, with amino acids having similar sets of neighbors replacing each other more frequently than those having very different sets of neighbors. This similarity in neighbor preference is incorporated into a new index of amino acid dissimilarities that can predict nonsynonymous codon substitutions better than the two existing indices of amino acid dissimilarities, i.e., Grantham's and Miyata's distances.     

Unnatural amino acid incorporation into virus-like particles

Virus-like particles composed of hepatitis B virus (HBV) or bacteriophage Qbeta capsid proteins have been labeled with azide- or alkyne-containing unnatural amino acids by expression in a methionine auxotrophic strain of E. coli. The substitution does not affect the ability of the particles to self-assemble into icosahedral structures indistinguishable from native forms. The azide and alkyne groups were addressed by Cu(I)-catalyzed [3 + 2] cycloaddition: HBV particles were decomposed by the formation of more than 120 triazole linkages per capsid in a location-dependent manner, whereas Qbeta suffered no such instability. The marriage of these well-known techniques of sense-codon reassignment and bioorthogonal chemical coupling provides the capability to construct polyvalent particles displaying a wide variety of functional groups with near-perfect control of spacing.     

Prediction of ubiquitination sites by using the composition of k-spaced amino acid pairs

As one of the most important reversible protein post-translation modifications, ubiquitination has been reported to be involved in lots of biological processes and closely implicated with various diseases. To fully decipher the molecular mechanisms of ubiquitination-related biological processes, an initial but crucial step is the recognition of ubiquitylated substrates and the corresponding ubiquitination sites. Here, a new bioinformatics tool named CKSAAP_UbSite was developed to predict ubiquitination sites from protein sequences. With the assistance of Support Vector Machine (SVM), the highlight of CKSAAP_UbSite is to employ the composition of k-spaced amino acid pairs surrounding a query site (i.e. any lysine in a query sequence) as input. When trained and tested in the dataset of yeast ubiquitination sites (Radivojac et al, Proteins, 2010, 78: 365-380), a 100-fold cross-validation on a 1∶1 ratio of positive and negative samples revealed that the accuracy and MCC of CKSAAP_UbSite reached 73.40% and 0.4694, respectively. The proposed CKSAAP_UbSite has also been intensively benchmarked to exhibit better performance than some existing predictors, suggesting that it can be served as a useful tool to the community. Currently, CKSAAP_UbSite is freely accessible at http://protein.cau.edu.cn/cksaap_ubsite/. Moreover, we also found that the sequence patterns around ubiquitination sites are not conserved across different species. To ensure a reasonable prediction performance, the application of the current CKSAAP_UbSite should be limited to the proteome of yeast.     

Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino acid pairs

MOTIVATION: The subcellular location of a protein is closely correlated to its function. Thus, computational prediction of subcellular locations from the amino acid sequence information would help annotation and functional prediction of protein coding genes in complete genomes. We have developed a method based on support vector machines (SVMs). RESULTS: We considered 12 subcellular locations in eukaryotic cells: chloroplast, cytoplasm, cytoskeleton, endoplasmic reticulum, extracellular medium, Golgi apparatus, lysosome, mitochondrion, nucleus, peroxisome, plasma membrane, and vacuole. We constructed a data set of proteins with known locations from the SWISS-PROT database. A set of SVMs was trained to predict the subcellular location of a given protein based on its amino acid, amino acid pair, and gapped amino acid pair compositions. The predictors based on these different compositions were then combined using a voting scheme. Results obtained through 5-fold cross-validation tests showed an improvement in prediction accuracy over the algorithm based on the amino acid composition only. This prediction method is available via the Internet.     

Determination of amino acid pairs sensitive to variants in human copper-transporting ATPase 2

In this study, we use our probabilistic approach to analyze the amino acid pairs in human copper-transporting ATPase 2 (ATP7B) in order to determine which amino acid pairs are more sensitive to 125 variants from missense mutant human ATP7B. The results show 97.6% of 125 variants occur at randomly unpredictable amino acid pairs, which account for 80.9% of amino acid pairs in ATP7B, and the chance of occurring of variant is about 9 times higher in randomly unpredictable amino acid pairs than in predictable pairs. Thus, the randomly unpredictable amino acid pairs are more sensitive to variants in human ATP7B.