Using Genome-Wide Protein Sequence Data to Predict Amino Acid Conservation

For most proteins, multiple sequence alignments are a viable method to identify functionally and structurally important amino acids, but for most organisms, there is a subset of proteins that are unique or found in a few closely related organisms. For these proteins, it is not possible to produce sequence alignments that are useful in identifying functionally or structurally important amino acids. We have investigated the relationship between amino acid conservation and five factors (the amino acid’s identity, N-terminal neighbor, C-terminal neighbor, the local hydropathy of surrounding amino acids, and the local expected net charge of the surrounding amino acids based on the primary sequence) in Escherichia coli proteins. For four of the factors examined (all but the amino acid’s identity), there is a significant relationship with conservation for some of the standard 20 amino acids. Using the combination of all five factors, we show that it is possible to calculate a score based on the primary sequences of a subset of E. coli proteins that has statistically significant predictive value with respect to predicting conserved amino acids in other E. coli proteins and Saccharomyces cerevisiae proteins. As these five variables show significant relationships with conservation, we have termed them conservation factors. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

The Biosynthetic Control in Aromatic Amino Acid Producing Mutants of Corynebacterium glutamicum

Regulatory properties of the enzymes involved in aromatic amino acid biosynthesis in the mutant of Corynebacterium glutamicum which produces a large amount of aromatic amino acids were examined. A phenylalanine auxotrophic l-tyrosine producer, pr-20, had a 3-deoxy-d-arabinoheptulosonate-7-phosphate (DAHP) synthetase released from the feedback inhibition by l-phenylalanine, l-tyrosine and l-tryptophan and had a two-fold derepressed chorismate mutase. A pair of l-phenylalanine and l-tyrosine still strongly inhibited the chorismate mutase activity, though the enzyme was partially released from the inhibition by l-phenylalanine alone. A tyrosine auxotrophic l-phenylalanine producer, PFP-19-31, had a DAHP synthetase sensitive to the feedback inhibition by l-phenylalanine, l-tyrosine and l-tryptophan and had a prephenate dehydratase and a chorismate mutase both partially released from the feedback inhibition by l-phenylalanine. The mutant produced a large amount of prephenate as well as l-phenylalanine. A phenylalanine and tyrosine double auxotrophic l-tryptophan producer, Px-115-97, had an anthranilate synthetase partially released from the feedback inhibition by l-tryptophan and had a DAHP synthetase sensitive to the feedback inhibition. These data explained the mechanism of the production of aromatic amino acids by these mutants and supported the in vivo functioning of the control mechanisms of aromatic amino acid biosynthesis in C. glutamicum previously elucidated in vitro experiments.     

Real-time Measurements of Amino Acid and Protein Hydroperoxides Using Coumarin Boronic Acid

Hydroperoxides of amino acid and amino acid residues (tyrosine, cysteine, tryptophan, and histidine) in proteins are formed during oxidative modification induced by reactive oxygen species. Amino acid hydroperoxides are unstable intermediates that can further propagate oxidative damage in proteins. The existing assays (oxidation of ferrous cation and iodometric assays) cannot be used in real-time measurements. In this study, we show that the profluorescent coumarin boronic acid (CBA) probe reacts with amino acid and protein hydroperoxides to form the corresponding fluorescent product, 7-hydroxycoumarin. 7-Hydroxycoumarin formation was catalase-independent. Based on this observation, we have developed a fluorometric, real-time assay that is adapted to a multiwell plate format. This is the first report showing real-time monitoring of amino acid and protein hydroperoxides using the CBA-based assay. This approach was used to detect protein hydroperoxides in cell lysates obtained from macrophages exposed to visible light and photosensitizer (rose bengal). We also measured the rate constants for the reaction between amino acid hydroperoxides (tyrosyl, tryptophan, and histidine hydroperoxides) and CBA, and these values (7–23 m⁻¹ s⁻¹) were significantly higher than that measured for H₂O₂ (1.5 m⁻¹ s⁻¹). Using the CBA-based competition kinetics approach, the rate constants for amino acid hydroperoxides with ebselen, a glutathione peroxidase mimic, were also determined, and the values were within the range of 1.1–1.5 × 10³ m⁻¹ s⁻¹. Both ebselen and boronates may be used as small molecule scavengers of amino acid and protein hydroperoxides. Here we also show formation of tryptophan hydroperoxide from tryptophan exposed to co-generated fluxes of nitric oxide and superoxide. This observation reveals a new mechanism for amino acid and protein hydroperoxide formation in biological systems.     

氨基酸组成对蛋白质耐热性的影响

为了研究一级结构对蛋白质耐热性的影响,利用软件DNAMAN对16个家族32种蛋白质序列进行了氨基酸含量分析,并统计分析了氨基酸组成对蛋白质耐热性的影响。通过比较同一家族的高低温蛋白质序列及16个家族中所有高温和低温蛋白质序列中氨基酸含量的变化可以推断(从低温到高温)：Ser、Cys．含量降低显著,Arg、Ile、Pro含量升高显著。由此可知高温蛋白质倾向于含有疏水性氨基酸而避免亲水性氨基酸。     

Amino Acid Sequence of Porcine Myelin Basic Protein

The myelin basic protein (BP) of pig brain was cleaved into its constituent tryptic peptides and the amino acid composition of each was determined. Those tryptic peptides that had not been sequenced previously were cleaved with dipeptidyl peptidases and the resulting dipeptides were trimethylsilated, separated by gas chromatography, and identified by mass spectrometry. Carboxypeptidases B and Y were used to establish the COOH-terminal sequences of some of the tryptic peptides; one tryptic peptide (sequence 76-92) was cleaved with thermolysin and the thermolytic peptides were analyzed. From the results of the present study together with those reported previously, it has been possible to determine the complete amino acid sequence of the protein. The protein consists of 172 residues and has a theoretical molecular weight of 18,604. Its amino acid sequence is identical with that reported for the homologous bovine protein with the following exceptions: Ser replaces (bovine) Ala2; His-Gly is inserted between Arg9 and Ser10; Ala replaces Ser45; His and Gly replace Gly76 and His77, respectively; Pro replaces Ser131 and Ser135; Ala is inserted between Gly142 and His143; and Gln replaces His143.     

氨基酸在蛋白质空间结构中的深度倾向性因子

用统计和几何方法给出了氨基酸在蛋白质空间结构中的深度计算,并利用PDB数据库得到了不同氨基酸在蛋白质中的深度倾向性因子,并得到了这些倾向性因子与氨基酸的物理、化学综合特性的相关性质.     

Conservation of Amino Acid Sequences Between Human and Porcine Choline Acetyltransferase

Abstract: The amino acid sequence of 11 peptides generated from human placental choline acetyltransferase was compared to the corresponding amino acid sequences predicted from the nucleotide sequence of a recently cloned porcine choline acetyltransferase cDNA. These peptides, which were generated by cyanogen bromide cleavage or tryptic digestion, accounted for 23% of the amino acids in the enzyme. Of the 145 amino acids sequenced eight differed between the two species, yielding an identity of 94% over the regions sampled.
Of the eight amino acids that differed six could represent single base changes in the DNA sequence. These findings demonstrate strong sequence similarity between porcine and human choline acetyltransferase and indicate that they are closely related evolutionarily.     

Human Protein Cluster Analysis Using Amino Acid Frequencies

The paper focuses on the development of a software tool for protein clustering according to their amino acid content. All known human proteins were clustered according to the relative frequencies of their amino acids starting from the UniProtKB/Swiss-Prot reference database and making use of hierarchical cluster analysis. Results were compared to those based on sequence similarities. Results: Proteins display different clustering patterns according to type. Many extracellular proteins with highly specific and repetitive sequences (keratins, collagens etc.) cluster clearly confirming the accuracy of the clustering method. In our case clustering by sequence and amino acid content overlaps. Proteins with a more complex structure with multiple domains (catalytic, extracellular, transmembrane etc.), even if classified very similar according to sequence similarity and function (aquaporins, cadherins, steroid 5-alpha reductase etc.) showed different clustering according to amino acid content. Availability of essential amino acids according to local conditions (starvation, low or high oxygen, cell cycle phase etc.) may be a limiting factor in protein synthesis, whatever the mRNA level. This type of protein clustering may therefore prove a valuable tool in identifying so far unknown metabolic connections and constraints.     

Complete Amino Acid Sequence of the Sweet Protein Monellin

The sweet protein monellin consists of two noncovalently associated polypeptide chains, the A chain of 44 amino acid residues and the B chain of 50 residues. Two different primary structures have been reported for each of these chains. The complete amino acid sequence of monellin was determined by a combination of FAB- and ESI-mass spectrometry, and by automatic Edman degradation.     

Protein Content and Amino Acid Composition of Certain Fungi Evaluated for Microbial Protein Production

The protein and total amino acid contents of four mycelial fungal strains and one yeast were approximately the same for cultures harvested in the mid-log and early stationary growth phases. It was found that Fusarium oxysporum and Fusarium moniliforme contained approximately 30% more protein and total amino acids than Aspergillus niger. The amino acid composition of mycelial protein compares favorably with that of British Petroleum yeast protein Toprina produced commercially on hydrocarbon substrates. Fusarium spp. may be suitable for commercial production of microbial protein, especially when low-cost agricultural or industrial waste products are readily available as energy sources. Genetic manipulation of these fungi, such as induction of mutant strains through irradiation, may be desirable to obtain a mycelial product of improved yield and/or quality.     

Relationship Between Amino Acid Properties and Protein Stability: Buried Mutations

In order to understand the mechanism of protein stability and to develop a simple method for predicting mutation-induced stability changes, we analyzed the relationship between stability changes caused by buried mutations and changes in 48 amino acid properties. As expected from the importance of hydrophobicity, properties reflecting hydrophobicity are strongly correlated with the stability of proteins. We found that subgroup classification based on secondary structure increased correlations significantly, and mutations within -strand segments correlated better than did those in -helical segments, which may result from stronger hydrophobicity of the -strands. Multiple regression analyses incorporating combinations of three properties from among all possible combinations of the 48 properties increased the correlation coefficient to 0.88 and by an average of 13% for all data sets. Analyzing the stability of tryptophan synthase mutants with Glu49 replaced by all other residues except Arg revealed that combining buriedness, solvent-accessible surface area for denatured protein, and unfolding Gibbs free energy change increased the correlation to 0.95. Consideration of sequence and structural information (neighboring residues in sequence and in space) did not significantly strengthen the correlations in buried mutations, suggesting that nonspecific interactions dominate in the interior of proteins.     

Complete Amino Acid Sequence of a Subunit from Rapeseed Protein

A subunit of molecular weight 18300 has been separated and isolated from seeds of Brassica campestris L. This subunit was cleaved by using cyanogen bromide, trypsin, Staphylococcus aureus V8 protease and chymotrypsin; the fragments obtained from enzymatlc and chemical cleavages were separated and isolated by polyacrylamide gel electrophoresis and gel filtration. The amino acid analyses were carried out. The complete amino acid sequence of the subunit containing 172 amino acid residues has been established by manual Edman method.     

An Optimal Structure-Discriminative Amino Acid Index for Protein Fold Recognition

Identifying the fold class of a protein sequence of unknown structure is a fundamental problem in modern biology. We apply a supervised learning algorithm to the classification of protein sequences with low sequence identity from a library of 174 structural classes created with the Combinatorial Extension structural alignment methodology. A class of rules is considered that assigns test sequences to structural classes based on the closest match of an amino acid index profile of the test sequence to a profile centroid for each class. A mathematical optimization procedure is applied to determine an amino acid index of maximal structural discriminatory power by maximizing the ratio of between-class to within-class profile variation. The optimal index is computed as the solution to a generalized eigenvalue problem, and its performance for fold classification is compared to that of other published indices. The optimal index has significantly more structural discriminatory power than all currently known indices, including average surrounding hydrophobicity, which it most closely resembles. It demonstrates >70% classification accuracy over all folds and nearly 100% accuracy on several folds with distinctive conserved structural features. Finally, there is a compelling universality to the optimal index in that it does not appear to depend strongly on the specific structural classes used in its computation.     

根据蛋白质的氨基酸组成实现其快速鉴定

常规进行蛋白质鉴定的方法是测定其氨基酸顺序,它需要蛋白质顺序分析仪,对蛋白质的纯度要求高,费时和花费大,与之相比,蛋白质的氨基酸组成和分子量是容易实验测定的。本文描述了一个基于蛋白质的组成和分子量进行其快速鉴定的方法。其基本出发点是,通过统计蛋白质序列数据库中每个序列的氨基酸组成和分子量,得到一个含蛋白质长度、组成和分子量的数据库,将靶蛋白质的组成等数据与该数据库进行对比,可以检出组成和分子量与之接近的蛋白质。从而对该蛋白质进行初步鉴定。在有些情况下,甚至能相当准确地确定靶蛋白质与数据库中的某个（些）蛋白质相关。根据这一原理本文设计了根据氨基酸组成检索蛋白质组成数据库的程序,通过对胰岛素原、细胞肿瘤抗原Ｐ５３和泛肽等多种蛋白质的组成分析,证实根据氨基酸组成能较好地进行蛋白质鉴定。     

Protein Architecture Chronology Deduced From Structures of Amino Acid Synthases

Abstract

Inferring the protein architecture chronology is one of central topics in origin of life study and has been given much attention. Based on an amino acid evolutionary model that late amino acids were bio-synthesized prior to early counterparts, we addressed the issue by examining the structures of amino acid synthases. Despite the limited structural information on amino acid synthases, our deduction revealed that α/β was the oldest protein class, which is in good agreement with the prior fold-usage-based conclusion.     

New Insights into the Interdependence between Amino Acid Stereochemistry and Protein Structure

To successfully design new proteins and understand the effects of mutations in natural proteins, we must understand the geometric and physicochemical principles underlying protein structure. The side chains of amino acids in peptides and proteins adopt specific dihedral angle combinations; however, we still do not have a fundamental quantitative understanding of why some side-chain dihedral angle combinations are highly populated and others are not. Here we employ a hard-sphere plus stereochemical constraint model of dipeptide mimetics to enumerate the side-chain dihedral angles of leucine (Leu) and isoleucine (Ile), and identify those conformations that are sterically allowed versus those that are not as a function of the backbone dihedral angles ? and ψ. We compare our results with the observed distributions of side-chain dihedral angles in proteins of known structure. With the hard-sphere plus stereochemical constraint model, we obtain agreement between the model predictions and the observed side-chain dihedral angle distributions for Leu and Ile. These results quantify the extent to which local, geometrical constraints determine protein side-chain conformations.     

New Insights into the Interdependence between Amino Acid Stereochemistry and Protein Structure

To successfully design new proteins and understand the effects of mutations in natural proteins, we must understand the geometric and physicochemical principles underlying protein structure. The side chains of amino acids in peptides and proteins adopt specific dihedral angle combinations; however, we still do not have a fundamental quantitative understanding of why some side-chain dihedral angle combinations are highly populated and others are not. Here we employ a hard-sphere plus stereochemical constraint model of dipeptide mimetics to enumerate the side-chain dihedral angles of leucine (Leu) and isoleucine (Ile), and identify those conformations that are sterically allowed versus those that are not as a function of the backbone dihedral angles ϕ and ψ. We compare our results with the observed distributions of side-chain dihedral angles in proteins of known structure. With the hard-sphere plus stereochemical constraint model, we obtain agreement between the model predictions and the observed side-chain dihedral angle distributions for Leu and Ile. These results quantify the extent to which local, geometrical constraints determine protein side-chain conformations.