The amino acid composition of gum exudates from Prosopis species

The amino acid compositions of the proteinaceous components of the gum exudates from Prosopis alba, P. chilensis, P. glandulosa, P. laevigata, P. torreyana and P. velutina, and for a sample of commercial gum mesquite, are presented. In agreement with data published previously for the polysaccharide components of their gums, only minor differences in composition are shown by these species. The amino acid compositions are characterized by very high proportions of hydroxyproline and by high proportions of proline and serine; these three amino acids account for 62.5% of those present in the gum from Prosopis velutina. The amino acid compositions of these Prosopis gums are remarkably similar to that established recently for the gum from Acacia senegal (gum arabic).     

The amino acid composition of mammalian and bacterial cells

Summary High performance liquid chromatography was used to analyze the amino acid composition of cells. A total of 17 amino acids was analyzed. This method was used to compare the amino acid compositions of the following combinations: primary culture and established cells, normal and transformed cells, mammalian and bacterial cells, andEscherichia coli andStaphylococcus aureus. The amino acid compositions of mammalian cells were similar, but the amino acid compositions ofEscherichia coli andStaphylococcus aureus differed not only from mammalian cells, but also from each other. It was concluded that amino acid composition is almost independent of cell establishment and cell transformation, and that the amino acid compositions of mammalian and bacterial cells differ. Thus, it is likely that changes in amino acid composition due to cell transformation or species differences between mammalian cells are negligible compared with the differences between mammalian and bacterial cells, which are more distantly related.     

Taxonomic variation in total leaf protein amino acid compositions of monocotyledonous plants

Protein contents and protein amino acid compositions of different regions of leaf blades and of leaves representing different physiological ages, taken from Aranda Christine (Liliiflorae) and Languas galanga (Zingiberiflorae) showed little intraspecific variation. However, leaf amino acid compositions of 25 plant species covering the major taxonomic groups of the Monocotyledonae showed variation and group by group comparisons revealed taxonomic patterns.     

Detecting thermophilic proteins through selecting amino acid and dipeptide composition features

Detecting thermophilic proteins is an important task for designing stable protein engineering in interested temperatures. In this work, we develop a simple but efficient method to classify thermophilic proteins from mesophilic ones using the amino acid and dipeptide compositions. Since most of the amino acid and dipeptide compositions are redundant, we propose a new forward floating selection technique to select only a useful subset of these compositions as features for support vector machine-based classification. We test the proposed method on a benchmark data set of 915 thermophilic and 793 mesophilic proteins. The results show that our method using 28 amino acid and dipeptide compositions achieves an accuracy rate of 93.3% evaluated by the jackknife cross-validation test, which is higher not only than the existing methods but also than using all amino acid and dipeptide compositions.     

From one amino acid to another: tRNA-dependent amino acid biosynthesis

Aminoacyl-tRNAs (aa-tRNAs) are the essential substrates for translation. Most aa-tRNAs are formed by direct aminoacylation of tRNA catalyzed by aminoacyl-tRNA synthetases. However, a smaller number of aa-tRNAs (Asn-tRNA, Gln-tRNA, Cys-tRNA and Sec-tRNA) are made by synthesizing the amino acid on the tRNA by first attaching a non-cognate amino acid to the tRNA, which is then converted to the cognate one catalyzed by tRNA-dependent modifying enzymes. Asn-tRNA or Gln-tRNA formation in most prokaryotes requires amidation of Asp-tRNA or Glu-tRNA by amidotransferases that couple an amidase or an asparaginase to liberate ammonia with a tRNA-dependent kinase. Both archaeal and eukaryotic Sec-tRNA biosynthesis and Cys-tRNA synthesis in methanogens require O-phosophoseryl-tRNA formation. For tRNA-dependent Cys biosynthesis, O-phosphoseryl-tRNA synthetase directly attaches the amino acid to the tRNA which is then converted to Cys by Sep-tRNA: Cys-tRNA synthase. In Sec-tRNA synthesis, O-phosphoseryl-tRNA kinase phosphorylates Ser-tRNA to form the intermediate which is then modified to Sec-tRNA by Sep-tRNA:Sec-tRNA synthase. Complex formation between enzymes in the same pathway may protect the fidelity of protein synthesis. How these tRNA-dependent amino acid biosynthetic routes are integrated into overall metabolism may explain why they are still retained in so many organisms.     

Aspects of amino acid metabolism and nutrition in the ectoparasitoid wasp, Exeristes roborator

Exeristes roborator contains a wide variety of free amino acids, and the composition of all developmental stages was quantitatively dominated by proline and glutamic acid. The latter occurred together with lesser amounts of glycine, alanine, valine, leucine, tyrosine, and histidine which varied between developmental stages. Minor and trace amounts of most other commonly occurring amino acids were also found. The percentages or relative amounts of major constituents were not influenced when the parasite was reared on the alternate hosts, Pectinophora gossypiella and Gnorimoschema operculella. Likewise, the major characteristics of the latter hosts' free amino compositions could not be accounted for, in either case, by their diets.Differences in the relative distribution of the major amino acids between the developmental stages of E. roborator indicate large decreases in the percentage of proline occur during development from the larval to the adult stage with corresponding increases in the percentages of glycine in the pupal stage and alanine as well as other amino acids in the adult stage. The results suggest that proline may play an important rôle in E. roborator, probably as an energy reserve.The amino acid compositions of the total proteins of E. roborator and its hosts were similar and all quantitatively dominated by glutamic acid, aspartic acid, and amides. However, the disk gel electropherograms of the proteins of both hosts and parasite were different. Quantitative changes were evident in the protein pattern of the parasite when reared on the alternate hosts.E. roborator incorporated radioactivity from ¹⁴C(U)-glucose into the amino acids, glutamic acid, aspartic acid, serine, glycine, alanine, and proline. Furthermore, ¹⁴C(U)-glutamic acid was incorporated into a wide variety of proteins. The data suggest that the above amino acids may be non-essential dietary components for E. roborator. However, quantitative determinations indicate that the amount of glutamic acid synthesized does not account for the amount incorporated into protein over the same time period.     

Trend of amino acid composition of proteins of different taxa

Archaea, bacteria and eukaryotes represent the main kingdoms of life. Is there any trend for amino acid compositions of proteins found in full genomes of species of different kingdoms? What is the percentage of totally unstructured proteins in various proteomes? We obtained amino acid frequencies for different taxa using 195 known proteomes and all annotated sequences from the Swiss-Prot data base. Investigation of the two data bases (proteomes and Swiss-Prot) shows that the amino acid compositions of proteins differ substantially for different kingdoms of life, and this difference is larger between different proteomes than between different kingdoms of life. Our data demonstrate that there is a surprisingly small selection for the amino acid composition of proteins for higher organisms (eukaryotes) and their viruses in comparison with the "random" frequency following from a uniform usage of codons of the universal genetic code. On the contrary, lower organisms (bacteria and especially archaea) demonstrate an enhanced selection of amino acids. Moreover, according to our estimates, 12%, 3% and 2% of the proteins in eukaryotic, bacterial and archaean proteomes are totally disordered, and long (> 41 residues) disordered segments are found to occur in 16% of arhaean, 20% of eubacterial and 43% of eukaryotic proteins for 19 archaean, 159 bacterial and 17 eukaryotic proteomes, respectively. A correlation between amino acid compositions of proteins of various taxa, show that the highest correlation is observed between eukaryotes and their viruses (the correlation coefficient is 0.98), and bacteria and their viruses (the correlation coefficient is 0.96), while correlation between eukaryotes and archaea is 0.85 only.     

The modified Mahalanobis Discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition

The outer membrane proteins (OMPs) are β-barrel membrane proteins that performed lots of biology functions. The discriminating OMPs from other non-OMPs is a very important task for understanding some biochemical process. In this study, a method that combines increment of diversity with modified Mahalanobis Discriminant, called IDQD, is presented to predict 208 OMPs, 206 transmembrane helical proteins (TMHPs) and 673 globular proteins (GPs) by using Chou's pseudo amino acid compositions as parameters. The overall accuracy of jackknife cross-validation is 93.2% and 96.1%, respectively, for three datasets (OMPs, TMHPs and GPs) and two datasets (OMPs and non-OMPs). These predicted results suggest that the method can be effectively applied to discriminate OMPs, TMHPs and GPs. And it also indicates that the pseudo amino acid composition can better reflect the core feature of membrane proteins than the classical amino acid composition.     

Effect of sound and Lenzites-decayed wood on the amino acid composition of Reticulitermes flavipes

In hydrolysates of the eastern subterranean termite, Reticulitermes flavipes, the most abundant protein amino acids (μmoles) were glycine, alanine, and glutamic acid; the least abundant were methionine and histidine. Sawdust from both sound and Lenzites trabea-decayed sapwood blocks of sugar maple, loblolly pine, and slash pine was force-fed to termites. A diet of decayed rather than sound wood had little effect on protein amino acid composition of the termites; glycine content varied the most. In contrast, diet affected the free amino acid composition. Except for glutamic acid, the major protein amino acids of the termites were not the predominant free amino acids. Tyrosine and histidine were relatively more abundant as free than as protein amino acids. Greatest differences in protein amino acid compositions of sound and decayed wood were in contents of glycine, leucine, lysine, and arginine.     

Antimicrobial peptides containing unnatural amino acid exhibit potent bactericidal activity against ESKAPE pathogens

A series of 36 synthetic antimicrobial peptides containing unnatural amino acids were screened to determine their effectiveness to treat Enterococcus faecium, Staphylococcus aureus, Klebsiella pnemoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species (ESKAPE) pathogens, which are known to commonly infect chronic wounds. The primary amino acid sequences of these peptides incorporate either three or six dipeptide units consisting of the unnatural amino acids Tetrahydroisoquinolinecarboxylic acid (Tic) and Octahydroindolecarboxylic acid (Oic). The Tic-Oic dipeptide units are separated by SPACER amino acids with specific physicochemical properties that control how these peptides interact with bacterial cell membranes of different chemical compositions. These peptides exhibited minimum inhibitory concentrations (MIC) against these pathogens in the range from >100 to 6.25 μg/mL. The observed diversity of MIC values for these peptides against the various bacterial strains are consistent with our hypothesis that the complementarity of the physicochemical properties of the peptide and the lipid of the bacteria’s cell membrane determines the resulting antibacterial activity of the peptide.     

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.     

Monoiodo-d-tyrosine,an artificial amino acid radiopharmaceutical for selective measurement of membrane amino acid transport in the pancreas

Using ¹¹C-labeled natural amino acids, the functional diagnosis of tissue metabolism has been actively studied. Our interest has been focused on developing a clinically available ¹²³I-labeled artificial amino acid with a single metabolic function. For this study, [¹²³I]3-iodo-d-tyrosine ([¹²³I]d-MIT) was selected. In vitro and in vivo studies using ¹²⁵I-labeled d-MIT indicated that it showed a high pancreatic accumulation, selective affinity for membrane active transport systems, and was stable against enzymatic deiodination. A canine scintigraphic study using ¹²³I-labeled d-MIT and kinetic analysis showed that it behaved as an “artificial amino acid” radiopharmaceutical with selective membrane amino acid transport affinity in the pancreas.     

A rapid procedure for detection of bacterial amino acid decarboxylases

The detection of decarboxylases of arginine, glutamic acid, histidine, lysine, ornithine, phenylalanine, tryptophan, and tyrosine in bacteria by thin-layer chromatography on polyamide sheets is described. The bacteria were grown on agar medium plates supplemented with eight amino acids at pH 5.5 for induction of amino acid decarboxylases, then transferred to amine-production media. The decarboxylation products in the spent media (amines and/or γ-amino-n-butyric acid) were dansylated and the dansyl derivatives were separated by thin-layer chromatography on polyamide sheets. This method requires only two separate incubations of the decarboxylase-induced bacteria in amine-production media for 1 h at 37°C for simultaneous detection of eight bacterial amino acid decarboxylases using 0.4 μl of the spent media.     

The amino acid composition of secreted mouse prolactin,growth hormone,and hamster prolactin: The presence of one tryptophan in mouse prolactin

The amino acid compositions and the electrophoretic properties of secreted mouse prolactin (mPRL), mouse growth hormone (mGH), and hamster prolactin (haPRL) were determined. The amino acid compositions of secreted mPRL and haPRL were similar to the compositions of other rodent prolactins, except that secreted mPRL contained only one tryptophan residue rather than the usual two. The composition of secreted mGH was similar to that of rat growth hormone. On 10% alkaline polyacrylamide gels, mPRL, mGH, and haPRL migrated with R_f's of 0.54, 0.21, and 0.69, respectively. The molecular weights of mPRL, mGH, and haPRL, determined by SDS-gel electrophoresis, were 23,000, 21,000, and 22,000, respectively.     

A sensitive and accurate method for amino acid analysis using isotopic double labeling with fluorodinitrobenzene

A double-labeling procedure for amino acid analysis using ³H-labeled 1-fluoro-2,4-dinitrobenzene and ¹⁴C-labeled amino acids as internal standards is described. The procedure was tested by analyzing lysozyme and insulin B chain, and the results obtained were in good agreement with their accepted amino acid compositions. Analysis of samples containing from 100 pmol of each amino acid can be achieved at an accuracy comparable to that obtained by conventional automated amino acid analysis methods, many of which require considerably more material. An important advantage is that amino acids present in low molar proportions can be separated and measured more readily than by column chromatography.     

The amino acid sequence of cytochrome c from niger-seed, Guizotia abyssinica

The amino acid sequence of cytochrome c from niger-seed has been determined by sequence analysis of chymotryptic and tryptic peptides using the dansyl-phenylisothiocyanate method and by qualitative analysis of peptide composition by the dansyl method. Although the spectral ratios indicated the protein was not completely pure, no indication of impurity was found during the sequence analysis and no peptides in addition to those given here were obtained. In certain cases the alignment of peptides was by homology with other cytochromes c. Four residues in the proposed sequence, alanine-1, cysteine-25, histidine-26 and lysine-61 were identified only from peptide compositions. The amino-terminus of the protein is acetylated. The sequence contains two residues of ϵ-N-trimethyllysine.     

Prediction of ketoacyl synthase family using reduced amino acid alphabets

Ketoacyl synthases are enzymes involved in fatty acid synthesis and can be classified into five families based on primary sequence similarity. Different families have different catalytic mechanisms. Developing cost-effective computational models to identify the family of ketoacyl synthases will be helpful for enzyme engineering and in knowing individual enzymes’ catalytic mechanisms. In this work, a support vector machine-based method was developed to predict ketoacyl synthase family using the n-peptide composition of reduced amino acid alphabets. In jackknife cross-validation, the model based on the 2-peptide composition of a reduced amino acid alphabet of size 13 yielded the best overall accuracy of 96.44% with average accuracy of 93.36%, which is superior to other state-of-the-art methods. This result suggests that the information provided by n-peptide compositions of reduced amino acid alphabets provides efficient means for enzyme family classification and that the proposed model can be efficiently used for ketoacyl synthase family annotation.     

Reciprocal amino acid substitutions in the evolution of homologous peptides

Amino acid sequences of peptides are often inferred from their amino acid compositions by comparison with homologous peptides of known sequence. The probabilities are considered that by such an approach errors are made due to the occurrence of balanced double changes, i.e. reciprocal substitutions, between two homologous peptides of identical compositions. Formulae are derived for the calculation of these probabilities, depending on peptide length and evolutionary distance. However, such calculations requiring too much computer time, the probabilities for reciprocal substitutions are estimated by simulation of evolutionary changes in peptides. It can be concluded from the resulting data that for many purposes the possible errors in amino acid sequences partially inferred from amino acid compositions are acceptably small.     

Variation in amino acid composition of cytochrome c of species in the fungal genusUstilago

Cytochrome c was extracted and purified from nine species of the genusUstilago, representing five pathogen for monocotyledonous and four for dicotyledonous host species. The amino acid compositions of acid hydrolysates of cytochrome c from these species were compared and divergence values were calculated for all pairs of species. Aspartic acid, serine, glutamic acid, proline, glycine, alanine, valine, leucine, phenylalanine, lysine, and arginine were the most variable amino acids for both dicot and monocot pathogens. Differences in lysine, glutamic acid, alanine, and histidine distinguished most monocot and dicot pathogens. The dicotyledonous pathogens had fewer glutamic acid and additional alanine and histidine residues. Divergence values for cytochrome c were generally highest between species of dicotyledonous and monocotyledonous hosts and lowest for species within the monocotyledonous group. Pairs of species in the dicotyledonous group gave values only slightly lower than those for pairs with species from different groups.     

Systematic variation in amino acid compositions of grass caryopses

Variation in amino acid patterns of 121 species (72 genera) of grass caryopses is extensively consistent with taxonomic groupings. The patterns of pooids and chloridoids are distinguishable from one another and from those of eu-panicoids and andropogonoids; the bamboos, Oryza, Stipeae, Ehrharta and Microlaena, which share certain morphological and anatomical features, also share a characteristic amino acid profile, while profiles of danthonoioids, Triodia and Aristida are clearly non-pooid. Caryopsis amino acid patterns vary independently of photosynthetic pathway. Embryos from taxonomically diverse genera all show very similar amino acid profiles, which differ strikingly from those of the endosperms, and the amino acid patterns of whole caryopses are dominated by their endosperms, which are responsible for the taxonomic variation. ‘Chemical scores’ of the caryopsis proteins, but not total protein contents, correlate to some extent with taxonomic groupings.