Amino Acid recycling in relation to protein turnover

Methods of measuring amino acid recycling in Lemna minor are described. The extent to which the recycling of individual amino acids may underestimate protein turnover has been measured for a number of amino acids. The methods have been used to study the relationship between protein turnover and amino acid recycling during nitrogen starvation. It is concluded that following the removal of nitrate from the environment, protein turnover is enhanced, the partitioning of amino acids between protein synthesis and amino acid metabolism is relatively constant, but the total amount of amino acids recycling is increased.     

Incorporation of non-natural amino acids into proteins

Chemical and biological diversity of protein structures and functions can be widely expanded by position-specific incorporation of non-natural amino acids carrying a variety of specialty side groups. After the pioneering works of Schultz's group and Chamberlin's group in 1989, noticeable progress has been made in expanding types of amino acids, in finding novel methods of tRNA aminoacylation and in extending genetic codes for directing the positions. Aminoacylation of tRNA with non-natural amino acids has been achieved by directed evolution of aminoacyl-tRNA synthetases or some ribozymes. Codons have been extended to include four-base codons or non-natural base pairs. Multiple incorporation of different non-natural amino acids has been achieved by the use of a different four-base codon for each tRNA. The combination of these novel techniques has opened the possibility of synthesising non-natural mutant proteins in living cells.     

Amino acid analysis by dinitrophenylation and reverse-phase high-pressure liquid chromatography

The determination of amino acids has been achieved by reverse-phase high-pressure liquid chromatography of their dinitrophenyl derivatives. The methods developed permit the quantitation of all amino acids commonly encountered in a protein hydrolysate and the effect of various parameters on this separation was systematically evaluated. The procedure eliminates the need for specialized postcolumn equipment as employed in conventional amino acid analysis and can be obtained by a simple gradient high-pressure chromatograph. The sensitivity obtained is comparable to that available by methods in common usage, being able to determine amino acids quantitatively in the low picomole range.     

Amino acid sequence of the gene 0.3 protein of bacteriophage T7 and nucleotide sequence of its mRNA

The amino acid sequence of purified gene 0.3 protein of T7, the protein responsible for overcoming host restriction, has been determined. The nucleotide sequence of the 0.3 RNA, the messenger RNA that codes for both the 0.3 protein and the gene 0.4 protein, a T7 protein of unknown function, has also been determined. The 0.3 RNA is 578 nucleotides long, 509 of which are used to code for the 2 proteins. The coding sequences do not overlap, but the termination codon for the 0.3 protein and the presumed initiation codon for the 0.4 protein do overlap in the sequence UAAUG. The 0.3 protein is very acidic: 34 of its 116 amino acids are aspartic or glutamic acid and only 6 are arginine or lysine. The 0.3 protein contains no cysteine. The nucleotide sequence predicts that the 0.4 protein consists of 50 amino acids and contains no histidine or proline. The effects of different mutations indicate that a protein which contains only the first 87 amino acids of the 0.3 protein is unable to prevent host restriction in vivo; one that contains te first 93 amino acids has weak function; and one that has the first 94 amino acids (plus 2 that are not in the wild type sequence) is fully able to prevent host restriction. The apparently critical 94th amino acid is tryptophan. The mutant 0.3 proteins that contain 87 or more amino acids appear to be reasonably stable in vivo, but those that contain 78 or fewer are apparently too unstable to have been observed by gel electrophoresis.     

Accuracy of sequence alignment and fold assessment using reduced amino acid alphabets

Reduced or simplified amino acid alphabets group the 20 naturally occurring amino acids into a smaller number of representative protein residues. To date, several reduced amino acid alphabets have been proposed, which have been derived and optimized by a variety of methods. The resulting reduced amino acid alphabets have been applied to pattern recognition, generation of consensus sequences from multiple alignments, protein folding, and protein structure prediction. In this work, amino acid substitution matrices and statistical potentials were derived based on several reduced amino acid alphabets and their performance assessed in a large benchmark for the tasks of sequence alignment and fold assessment of protein structure models, using as a reference frame the standard alphabet of 20 amino acids. The results showed that a large reduction in the total number of residue types does not necessarily translate into a significant loss of discriminative power for sequence alignment and fold assessment. Therefore, some definitions of a few residue types are able to encode most of the relevant sequence/structure information that is present in the 20 standard amino acids. Based on these results, we suggest that the use of reduced amino acid alphabets may allow to increasing the accuracy of current substitution matrices and statistical potentials for the prediction of protein structure of remote homologs.     

Reprogramming the amino-acid substrate specificity of orthogonal aminoacyl-tRNA synthetases to expand the genetic code of eukaryotic cells

The genetic code of living organisms has been expanded to allow the site-specific incorporation of unnatural amino acids into proteins in response to the amber stop codon UAG. Numerous amino acids have been incorporated including photo-crosslinkers, chemical handles, heavy atoms and post-translational modifications, and this has created new methods for studying biology and developing protein therapeutics and other biotechnological applications. Here we describe a protocol for reprogramming the amino-acid substrate specificity of aminoacyl-tRNA synthetase enzymes that are orthogonal in eukaryotic cells. The resulting aminoacyl-tRNA synthetases aminoacylate an amber suppressor tRNA with a desired unnatural amino acid, but no natural amino acids, in eukaryotic cells. To achieve this change of enzyme specificity, a library of orthogonal aminoacyl-tRNA synthetase is generated and genetic selections are performed on the library in Saccharomyces cerevisiae. The entire protocol, including characterization of the evolved aminoacyl-tRNA synthetase in S. cerevisiae, can be completed in approximately 1 month.     

Nucleotide sequence and expression of a cloned Thiobacillus ferrooxidans recA gene in Escherichia coli

The nucleotide sequence of the recA gene of Thiobacillus ferrooxidans has been determined. No SOS box characteristic of LexA-regulated promoters could be identified in the 196-bp region upstream from the coding region. The cloned T. ferrooxidans recA gene was expressed in Escherichia coli from both the lambda pR and lac promoters. It was not expressed from the 2.2-kb of T. ferrooxidans DNA preceding the gene. The T. ferrooxidans recA gene specifies a protein of 346 amino acids that has 66% and 69% homology to the RecA proteins of E. coli and Pseudomonas aeruginosa, respectively. Most amino acids that have been identified as being of functional importance in the E. coli RecA protein are conserved in the T. ferrooxidans RecA protein. Although some amino acids that have been associated with proteolytic activity have been substituted, the cloned protein has retained protease activity towards the lambda and E. coli LexA repressors.     

Enhanced protein domain discovery using taxonomy

Background  

It is well known that different species have different protein domain repertoires, and indeed that some protein domains are kingdom specific. This information has not yet been incorporated into statistical methods for finding domains in sequences of amino acids.     

Construction and characterization of Pichia pastoris strains for labeling aromatic amino acids in recombinant proteins

Strains of the methylotrophic yeast Pichia pastoris auxotrophic for the aromatic amino acids (tyrosine, phenylalanine, and tryptophan) have been constructed by targeted gene disruption for protein labeling applications. Three strains, with defects in ARO1 (coding for a homolog of the arom pentafunctional enzyme), ARO7 (coding for chorismate mutase), and TYR1 (coding for prephenate dehydrogenase), have been engineered in a P. pastoris ura3Delta1 parent strain using standard methods. The nutritional requirements of these auxotrophic strains have been characterized and their utility as expression hosts for labeling recombinant proteins has been demonstrated. All three strains show a surprising sensitivity to rich culture medium and must be grown in supplemented minimal medium. The tyr1::URA3 strain in particular is strongly inhibited by tryptophan, and to a lesser extent by phenylalanine, leucine, and isoleucine. Highly efficient incorporation of exogenously supplied amino acids by these three auxotroph strains has been demonstrated using recombinant galactose oxidase. Stereochemically pure l-amino acids and racemic d,l-mixtures serve nearly equally well to support protein expression and labeling. These strains allow efficient labeling of aromatic amino acids in recombinant proteins, supporting NMR structural biology and a wide range of other biophysical studies.     

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.     

Comparison of the frequency of functional SH3 domains with different limited sets of amino acids using mRNA display

Although modern proteins consist of 20 different amino acids, it has been proposed that primordial proteins consisted of a small set of amino acids, and additional amino acids have gradually been recruited into the genetic code. This hypothesis has recently been supported by comparative genome sequence analysis, but no direct experimental approach has been reported. Here, we utilized a novel experimental approach to test a hypothesis that native-like globular proteins might be easily simplified by a set of putative primitive amino acids with retention of its structure and function than by a set of putative new amino acids. We performed in vitro selection of a functional SH3 domain as a model from partially randomized libraries with different sets of amino acids using mRNA display. Consequently, a library rich in putative primitive amino acids included a larger number of functional SH3 sequences than a library rich in putative new amino acids. Further, the functional SH3 sequences were enriched from the primitive library slightly earlier than from a randomized library with the full set of amino acids, while the function and structure of the selected SH3 proteins with the primitive alphabet were comparable with those from the 20 amino acid alphabet. Application of this approach to various combinations of codons in protein sequences may be useful not only for clarifying the precise order of the amino acid expansion in the early stages of protein evolution but also for efficiently creating novel functional proteins in the laboratory.     

Evolution of amino acid frequencies in proteins over deep time: inferred order of introduction of amino acids into the genetic code

To understand more fully how amino acid composition of proteins has changed over the course of evolution, a method has been developed for estimating the composition of proteins in an ancestral genome. Estimates are based upon the composition of conserved residues in descendant sequences and empirical knowledge of the relative probability of conservation of various amino acids. Simulations are used to model and correct for errors in the estimates. The method was used to infer the amino acid composition of a large protein set in the Last Universal Ancestor (LUA) of all extant species. Relative to the modern protein set, LUA proteins were found to be generally richer in those amino acids that are believed to have been most abundant in the prebiotic environment and poorer in those amino acids that are believed to have been unavailable or scarce. It is proposed that the inferred amino acid composition of proteins in the LUA probably reflects historical events in the establishment of the genetic code.     

Protein and cellular engineering with unnatural amino acids

Proteins are the central functional constituents in all living organisms ranging from viruses, bacteria, yeast, and plants to mammals. All of these biopolymers that are formed by natural biosynthetic pathways are composed of a genetically determined sequence of the 20 so-called natural amino acids. The physical and chemical properties of proteins are a reflection of the side chains of each of the component amino acids. However, for some purposes it would be very desireable to have amino acids with side chains of various selected physical chemical properties, such as a keto group, a crosslinker, or a NMR probe group, incorporated into the protein. Although chemical and biochemical methods for modifying amino acid moieties in proteins have been achieved, recent successes in incorporating unnatural amino acids in vivo open entirely new avenues for determining protein functions in vivo and for the creation of unnatural proteins with novel functionalities. Several examples by employing the novel activity of unnatural amino acids have shown significant roles in both basic research and biotechnology.     

Comparative characterization of random‐sequence proteins consisting of 5, 12, and 20 kinds of amino acids

Screening of functional proteins from a random‐sequence library has been used to evolve novel proteins in the field of evolutionary protein engineering. However, random‐sequence proteins consisting of the 20 natural amino acids tend to aggregate, and the occurrence rate of functional proteins in a random‐sequence library is low. From the viewpoint of the origin of life, it has been proposed that primordial proteins consisted of a limited set of amino acids that could have been abundantly formed early during chemical evolution. We have previously found that members of a random‐sequence protein library constructed with five primitive amino acids show high solubility (Doi et al., Protein Eng Des Sel 2005;18:279–284). Although such a library is expected to be appropriate for finding functional proteins, the functionality may be limited, because they have no positively charged amino acid. Here, we constructed three libraries of 120‐amino acid, random‐sequence proteins using alphabets of 5, 12, and 20 amino acids by preselection using mRNA display (to eliminate sequences containing stop codons and frameshifts) and characterized and compared the structural properties of random‐sequence proteins arbitrarily chosen from these libraries. We found that random‐sequence proteins constructed with the 12‐member alphabet (including five primitive amino acids and positively charged amino acids) have higher solubility than those constructed with the 20‐member alphabet, though other biophysical properties are very similar in the two libraries. Thus, a library of moderate complexity constructed from 12 amino acids may be a more appropriate resource for functional screening than one constructed from 20 amino acids.     

氨基酸营养当量和整齐性指数

化学法以蛋白质的氨基酸组成评价蛋白质营养价值。在分析化学法的一般思想和方法的基础上,本文引进氨基酸营养当量和营养当量数的概念,并提出一个称为“整齐性指数”的新化学指数。使化学评价蛋白质营养价值的方法理论化,并使化学指数在反映蛋白质营养价值上更加精确可靠;本文同时还揭示了化学法中常用的化学分指标能较理想反映蛋白质营养价值的内在原因,通过实例分析,本文还证实了蛋白质的氨基酸组成对蛋白质的消化率存在影响的作用。     

Improving the performance of protein threading using insertion/deletion frequency arrays

As a protein evolves, not every part of the amino acid sequence has an equal probability of being deleted or for allowing insertions, because not every amino acid plays an equally important role in maintaining the protein structure. However, the most prevalent models in fold recognition methods treat every amino acid deletion and insertion as equally probable events. We have analyzed the alignment patterns for homologous and analogous sequences to determine patterns of insertion and deletion, and used that information to determine the statistics of insertions and deletions for different amino acids of a target sequence. We define these patterns as insertion/deletion (indel) frequency arrays (IFAs). By applying IFAs to the protein threading problem, we have been able to improve the alignment accuracy, especially for proteins with low sequence identity. We have also demonstrated that the application of this information can lead to an improvement in fold recognition.     

Novel forms of chemical protein diversity -- in nature and in the laboratory

Novel chemical variants of proteins have been found in nature, including potent 'microprotein' natural products and folded protein molecules that contain a cyclic polypeptide chain. Researchers have used chemical synthesis and genetic methods to make these proteins and more: protein catenanes, neoglycoproteins, and artificial protein molecules with novel architectures or made from novel building blocks. De novo design has taken a big step forward with the accurate design and construction of proteins with complex molecular structure. A variety of non-coded amino acids and other building blocks has been used to make increasingly sophisticated protein molecular devices for use as biosensors and for the study of signal transduction inside living cells.     

Lack of effect of amino acid concentration on protein synthesis in the perfused rat liver.

The effect of increasing the perfusate concentration of amino acids on the incorporation of labelled valine into protein was followed in perfusions of rat livers lasting for 2h. A fixed amount of labelled and unlabelled valine was added to the perfusate as the other amino acids were increased in multiples of the concentrations normally found in rat plasma. Under these conditions no increase in valine incorporation was observed, which appeared to be in conflict with results published by other workers, However, a different method of labelling from that used here was used in the earlier studies. An increasing amount of a labelled amino acid was added as the concentrations of the unlabelled amino acids were increased in the perfusate. An experiment directly comparing to the two labelling methods produced results that indicated that the apparent increase in liver protein synthesis observed by the other workers could have been due to the method of radioisotope addition. It is therefore concluded that increasing the perfusate concentration of amino acids does not increase amino acid incorporation into liver protein.     

Primary sequence and site‐selective hydroxylation of prolines in isoforms of a major peanut allergen protein Ara h 2

The Ara h 2 proteins are major determinants of peanut allergens. These proteins have not been fully studied at the molecular level. It has been previously proposed that there are two isoforms of Ara h 2, based on primary structures that were deduced from two reported cDNA sequences. In this report, four isoforms have been purified and characterized individually. Mass spectrometric methods have been used to determine the protein sequences and to define post‐translational modifications for all four isoforms. Two pairs of isoforms have been identified, corresponding to a long‐chain form and a form that is shorter by 12 amino acids. Each pair is further differentiated by the presence or absence of a two amino acid sequence at the carboxyl terminus of the protein. Modifications that were characterized include site‐specific hydroxylation of proline residues, but no glycosylation was found, in contrast to previous reports.