A short survey on protein blocks

Protein structures are classically described in terms of secondary structures. Even if the regular secondary structures have relevant physical meaning, their recognition from atomic coordinates has some important limitations such as uncertainties in the assignment of boundaries of helical and β-strand regions. Further, on an average about 50% of all residues are assigned to an irregular state, i.e., the coil. Thus different research teams have focused on abstracting conformation of protein backbone in the localized short stretches. Using different geometric measures, local stretches in protein structures are clustered in a chosen number of states. A prototype representative of the local structures in each cluster is generally defined. These libraries of local structures prototypes are named as "structural alphabets". We have developed a structural alphabet, named Protein Blocks, not only to approximate the protein structure, but also to predict them from sequence. Since its development, we and other teams have explored numerous new research fields using this structural alphabet. We review here some of the most interesting applications.     

Protein contacts, inter-residue interactions and side-chain modelling

Three-dimensional structures of proteins are the support of their biological functions. Their folds are stabilized by contacts between residues. Inner protein contacts are generally described through direct atomic contacts, i.e. interactions between side-chain atoms, while contact prediction methods mainly used inter-Calpha distances. In this paper, we have analyzed the protein contacts on a recent high quality non-redundant databank using different criteria. First, we have studied the average number of contacts depending on the distance threshold to define a contact. Preferential contacts between types of amino acids have been highlighted. Detailed analyses have been done concerning the proximity of contacts in the sequence, the size of the proteins and fold classes. The strongest differences have been extracted, highlighting important residues. Then, we studied the influence of five different side-chain conformation prediction methods (SCWRL, IRECS, SCAP, SCATD and SCCOMP) on the distribution of contacts. The prediction rates of these different methods are quite similar. However, using a distance criterion between side chains, the results are quite different, e.g. SCAP predicts 50% more contacts than observed, unlike other methods that predict fewer contacts than observed. Contacts deduced are quite distinct from one method to another with at most 75% contacts in common. Moreover, distributions of amino acid preferential contacts present unexpected behaviours distinct from previously observed in the X-ray structures, especially at the surface of proteins. For instance, the interactions involving Tryptophan greatly decrease.     

Analyzing the sequence-structure relationship of a library of local structural prototypes

We present a thorough analysis of the relation between amino acid sequence and local three-dimensional structure in proteins. A library of overlapping local structural prototypes was built using an unsupervised clustering approach called “hybrid protein model” (HPM). The HPM carries out a multiple structural alignment of local folds from a non-redundant protein structure databank encoded into a structural alphabet composed of 16 protein blocks (PBs). Following previous research focusing on the HPM protocol, we have considered gaps in the local structure prototype. This methodology allows to have variable length fragments. Hence, 120 local structure prototypes were obtained. Twenty-five percent of the protein fragments learnt by HPM had gaps.An investigation of tight turns suggested that they are mainly derived from three PB series with precise locations in the HPM. The amino acid information content of the whole conformational classes was tackled by multivariate methods, e.g., canonical correlation analysis. It points out the presence of seven amino acid equivalence classes showing high propensities for preferential local structures. In the same way, definition of “contrast factors” based on sequence-structure properties underline the specificity of certain structural prototypes, e.g., the dependence of Gly or Asn-rich turns to a limited number of PBs, or, the opposition between Pro-rich coils to those enriched in Ser, Thr, Asn and Glu. These results are so useful to analyze the sequence-structure relationships, but could also be used to improve fragment-based method for protein structure prediction from sequence.     

Amino acid propensities for secondary structures are influenced by the protein structural class

Amino acid propensities for secondary structures were used since the 1970s, when Chou and Fasman evaluated them within datasets of few tens of proteins and developed a method to predict secondary structure of proteins, still in use despite prediction methods having evolved to very different approaches and higher reliability. Propensity for secondary structures represents an intrinsic property of amino acid, and it is used for generating new algorithms and prediction methods, therefore our work has been aimed to investigate what is the best protein dataset to evaluate the amino acid propensities, either larger but not homogeneous or smaller but homogeneous sets, i.e., all-alpha, all-beta, alpha-beta proteins. As a first analysis, we evaluated amino acid propensities for helix, beta-strand, and coil in more than 2000 proteins from the PDBselect dataset. With these propensities, secondary structure predictions performed with a method very similar to that of Chou and Fasman gave us results better than the original one, based on propensities derived from the few tens of X-ray protein structures available in the 1970s. In a refined analysis, we subdivided the PDBselect dataset of proteins in three secondary structural classes, i.e., all-alpha, all-beta, and alpha-beta proteins. For each class, the amino acid propensities for helix, beta-strand, and coil have been calculated and used to predict secondary structure elements for proteins belonging to the same class by using resubstitution and jackknife tests. This second round of predictions further improved the results of the first round. Therefore, amino acid propensities for secondary structures became more reliable depending on the degree of homogeneity of the protein dataset used to evaluate them. Indeed, our results indicate also that all algorithms using propensities for secondary structure can be still improved to obtain better predictive results.     

Progressive structure-based alignment of homologous proteins: Adopting sequence comparison strategies

Comparison of multiple protein structures has a broad range of applications in the analysis of protein structure, function and evolution. Multiple structure alignment tools (MSTAs) are necessary to obtain a simultaneous comparison of a family of related folds. In this study, we have developed a method for multiple structure comparison largely based on sequence alignment techniques. A widely used Structural Alphabet named Protein Blocks (PBs) was used to transform the information on 3D protein backbone conformation as a 1D sequence string. A progressive alignment strategy similar to CLUSTALW was adopted for multiple PB sequence alignment (mulPBA). Highly similar stretches identified by the pairwise alignments are given higher weights during the alignment. The residue equivalences from PB based alignments are used to obtain a three dimensional fit of the structures followed by an iterative refinement of the structural superposition. Systematic comparisons using benchmark datasets of MSTAs underlines that the alignment quality is better than MULTIPROT, MUSTANG and the alignments in HOMSTRAD, in more than 85% of the cases. Comparison with other rigid-body and flexible MSTAs also indicate that mulPBA alignments are superior to most of the rigid-body MSTAs and highly comparable to the flexible alignment methods.     

Taking advantage of local structure descriptors to analyze interresidue contacts in protein structures and protein complexes

Interresidue protein contacts in proteins structures and at protein-protein interface are classically described by the amino acid types of interacting residues and the local structural context of the contact, if any, is described using secondary structures. In this study, we present an alternate analysis of interresidue contact using local structures defined by the structural alphabet introduced by Camproux et al. This structural alphabet allows to describe a 3D structure as a sequence of prototype fragments called structural letters, of 27 different types. Each residue can then be assigned to a particular local structure, even in loop regions. The analysis of interresidue contacts within protein structures defined using Vorono? tessellations reveals that pairwise contact specificity is greater in terms of structural letters than amino acids. Using a simple heuristic based on specificity score comparison, we find that 74% of the long-range contacts within protein structures are better described using structural letters than amino acid types. The investigation is extended to a set of protein-protein complexes, showing that the similar global rules apply as for intraprotein contacts, with 64% of the interprotein contacts best described by local structures. We then present an evaluation of pairing functions integrating structural letters to decoy scoring and show that some complexes could benefit from the use of structural letter-based pairing functions.     

薏苡仁蛋白质组分研究

目的:对药食两用功能的薏苡仁蛋白质四类组分和氨基酸含量进行分析。方法:采用旋光法、索氏提取法、烘干法、马弗炉法分别进行淀粉、粗脂肪、水分和灰分的测定;采用顺序抽提法依次进行清蛋白、球蛋白、醇溶蛋白和谷蛋白的提取,用Brandford和凯式定氮法进行蛋白质含量分析;采用氨基酸分析仪进行氨基酸含量测定。结果:薏苡仁总蛋白含量为14.17%,其中清蛋白、球蛋白、醇溶蛋白和谷蛋白含量分别为0.20、0.88、6.34和5.30 mg/100mg鲜重,分别占总蛋白质含量的1.43%、6.20%、44.74%和37.38%;薏苡仁粉经酸水解后共检测到15种氨基酸,除Trp外,人体必需氨基酸和半必需氨基酸均有检测到;各氨基酸含量也存在着差异,含量最高的为Glu(3.59 mg/100mg),含量最低的为Me(t0.17 mg/100mg)。结论:薏苡仁蛋白中醇溶蛋白和谷蛋白含量较丰富,为今后进一步开发薏苡仁功能食品提供了理论数据。     

Glucocorticoids inhibit precursor incorporation into protein in splenic lymphocytes by stimulating protein degradation and expanding intracellular amino acid pools

In the presence of tracer concentrations of extracellular leucine (5 μM), treatment of rat splenic lymphocyte suspensions in vitro with 1 μM dexamethasone for 2.5–4 h caused a 30–35% inhibition of [³H]leucine incorporation into protein. As the extracellular leucine concentration was raised to 5 mM, this inhibition was progressively reduced to 0–12%. This phenomenon correlated with a marked dependence on extracellular leucine concentration of the dexamethasone-dependent enlargement of free intracellular leucine pools in splenic lymphocytes: a 123% increase in pool size with tracer extracellular leucine; a 10% increase with 5 mM leucine. Varying extracellular leucine had no effect on: (1) nuclear [³H]dexamethasone binding by the cells; (2) the concentration of dexamethasone needed for half-maximal inhibition of [³H]leucine incorporation; (3) the time course of onset and maximal expression of the hormonal inhibition of [³H]leucine incorporation; or (4) the magnitude of dexamethasone-dependent inhibition of [³H]uridine incorporation into RNA by these cells. There was no detectable effect of dexamethasone on uptake and retention of [³H]leucine by the cells, regardless of the extracellular leucine concentration. Treatment of splenic lymphocytes for 4 h in vitro with 1 μM dexamethasone caused a small shift of ribosomes from larger aggregate polysomes to smaller forms. Thus, glucocorticoid-induced inhibition of amino acid incorporation in splenic lymphocytes is a multicomponent response, of which an actual decrease in protein synthesis is only a small part. Enlargement of free intracellular amino acid pools, probably resulting from increased protein degradation, is the major contributing factor to the hormonal inhibition of amino acid incorporation.     

On Graphical and Numerical Representation of Protein Sequences

Abstract

A new approach using a 3-D Cartesian coordinate system to represent protein sequences has been derived. By the 3-D Graphical representation we make a comparison of sequences belonging to nine different proteins.     

Mobilization of maternal mRNA in amphibian eggs with special reference to the possible role of membraneous supramolecular structures

Current knowledge of the mechanism of mobilization of maternal mRNA is summarized herein and a working hypothesis has been constructed to explain the mechanism on the assumption that the mRNA enters the cytoplasm in association with the cytoplasmic membraneous structures and is then stored in the structures until liberation and relocation at the step of oocyte maturation. An extensive turnover of poly(A) sequences as well as the occurrence of repetitive sequences in the maternal mRNA may be relevant to mRNA activation.     

优质油菜籽粕蛋白质分类研究

油菜是我国大面积种植的油料作物 ,油菜籽富含油脂和蛋白质。其含硫氨基酸含量高于大豆蛋白 ,必需氨基酸含量平衡[1 ] ,因此菜籽蛋白有良好的营养特性。但常规油菜籽饼粕含较高的硫代葡萄糖甙和酚类物质 ,长期以来籽粕蛋白没有被利用作饲料或食品添加剂。我们用双低 [2 ] (低芥酸、低硫甙 )优质油菜饼粕为材料 ,根据其蛋白在不同溶剂的溶解性分离 [3] ,测定了不同组分蛋白及其含量 ,并对各组分蛋白氨基酸含量也进行了测定 ,为说明优质油菜饼粕蛋白富含各种必需氨基酸和其良好的开发前景提供了依据。1 　实验材料及方法1 .1 　材料中双 1 1 9…     

Optimizing the protein nutrition of growing-finishing pigs

Growing-finishing pigs should consume each day the minimum amounts of energy and amino acids needed for maximum lean deposition. This should optimize performance traits, carcass leanness, and N excretion. These ideal conditions are difficult to achieve under experimental or farm conditions due to the factors affecting amino acid requirements and feed intake on a daily basis. Lean deposition rate and sex are two of the major factors affecting amino acid needs. If possible, maximum lean deposition rates should be determined for each herd in order to customize feeding programs, and split-sex feeding will improve N utilization.

Amino acid requirements have been determined empirically and by the factorial method. The latter is preferred if the efficiency of use of absorbed amino acids can be accurately determined. Development of computer models will likely be needed to accomplish this. Apparent ileal digestibility of amino acids is the most practical means of estimating amino acid absorption at present, although it likely overestimates amino acid availability for some amino acids.

Crystalline amino acids can be used to improve amino acid balance and reduce excessive intake of protein which should improve feed efficiency. A portion of the high-quality protein feeds in pig diets can be replaced by synthetic amino acids without sacrificing performance, but the effects of these substitutions on carcass merit is uncertain.

Excretion of N, and the concomitant reduction of N in manure that has to be disposed of, can be manipulated nutritionally by increased use of crystalline amino acids to lower dietary protein, by use of highly digestible feedstuffs and by precise matching of amino acid needs to amino acid supply. Use of these factors could lead to a reduction in total N wastes of 20–30%.     

The plant-specific VIMAG domain of Glutamine Dumper1 is necessary for the function of the protein in Arabidopsis

The over-expression of the arabidopsis GLUTAMINE DUMPER1 gene (GDU1) leads to increased amino acid content and transport. In a screening for mutations suppressing this phenotype, a mutant was isolated. The mutation leads to a glycine to arginine substitution in one of the two conserved domains of the protein, the VIMAG domain. More detailed structure function relationship analyses showed that the presence of this domain and the membrane localisation are both necessary for the function of the GDU1 protein. These results shed light on the function of the GDU1 protein whose family is specific to plants.     

皮屑蛋白粉中氨基酸组成与评价

测定了用皮革工业下脚一皮屑蛋白粉中氨基酸含量,与常用动物蛋白源比较发现,皮屑蛋白是一种不完全蛋白质,其氨基酸组成很不平衡,但其限制性氨基酸,赖氨酸和蛋氨酸的含量与其他几种动物蛋白源具有互补性,使用时宜同其他动、植物蛋白源或单体氨基酸相配合,以提高其生物价。     

Protein Targeting into the Complex Plastid of Cryptophytes

The cryptophyte Guillardia theta harbors a plastid surrounded by four membranes. This turns protein targeting of nucleus-encoded endosymbiont localized proteins into quite a challenge, as the respective precursors have to pass either all four membranes to reach the plastid stroma or only the outermost two membranes to enter the periplastidal compartment. Therefore two sets of nuclear-encoded proteins imported into the endosymbiont can be distinguished and their topogenic signals may serve as good indicators for studying protein targeting and subsequent transport across the outermost membranes of the cryptophyte plastid. We isolated genes encoding enzymes involved in two different biochemical pathways, both of which are predicted to be localized inside the periplastidal compartment, and compared their topogenic signals to those of precursor proteins for the plastid stroma, which are encoded on either the nucleus or the nucleomorph. By this and exemplary in vitro and in vivo analyses of the topogenic signal of one protein localized in the periplastidal compartment, we present new data implicating the mechanism of targeting and transport of proteins to and across the outermost plastid membranes. Furthermore, we demonstrate that one single, but conserved amino acid is the triggering key for the discrimination between nucleus-encoded plastid and periplastidal proteins. [Reviewing Editor: Dr. Yves Van de Peer]     

Characterization of Human Brain S100 Protein Fraction: Amino Acid Sequence of S100β

Two major components of human brain S100 fraction were purified by HPLC and an amino acid sequence was elucidated for the S100 beta component. Human S100 proteins showed absorption spectra and amino acid compositions similar to S100 alpha and S100 beta from bovine brain. However, the relative amounts of the human proteins were 4% S100 alpha and 96% S100 beta by weight, while the bovine protein distribution was 47% S100 alpha and 53% S100 beta by weight. An amino acid sequence of human S100 beta was established by analysis of overlapping fragments generated by cyanogen bromide and trypsin cleavage. Three amino acid sequence differences between the human and bovine S100 beta were found at residues 7, 62, and 80. These differences were chemically conservative and compatible with minimum single base changes in the codon structures. These results document that S100 beta is a conserved protein among mammals and provide the necessary foundation for current clinical studies.     

Analysis of cysteine residues in peptides and proteins alkylated with volatile reagents

Summary Conditions are described for the reduction and alkylation of cysteines in peptides and proteins with volatile reagents by use of triethylphosphine as reductant, bromopropane as alkylating reagent and triethylamine as base. Alkylated samples need only be vacuum dried prior to subsequent analysis steps. Alkylated samples have been acid hydrolyzed and analyzed on an amino acid analyzer with recoveries of cysteine within 10% of the expected value. Alkylated samples have been directly applied to a sequencer membrane, dried on the surface and cysteines identified by sequence analysis without additional wash steps. In addition proteins blotted onto PVDF have been alkylatedin situ and sequenced with identification of cysteines. On the analyzer and sequencer the S-propylcysteine derivative elutes at a unique position allowing for the unambiguous identification of cysteine. Cysteine residues are quantitativly alkylated under the conditions developed. The ease of this procedure allows the routine analysis of cysteine in peptides and proteins without additional, time consuming repurification or dialysis steps.Abbreviations dptu diphenylthiourea - dmptu dimethylphenylthiourea - prop-cys S-propylcysteine     

Impact of separating amino acids between plasma, extracellular and intracellular compartments on estimating protein synthesis in rodents

Summary. Three models representing different separations of amino acid sources were used to simulate experimental specific radioactivity data and to predict protein fractional synthesis rate (FSR). Data were from a pulse dose of ¹⁴C-U Leu given to a non-growing 20 g mouse and a flooding dose of ³H Phe given to a non-growing 200 g rat. Protein synthesis rates estimated using the combined extracellular and intracellular (Ec + Ic) source pool and extracellular and plasma (Ec + Pls) source pool mouse models were 78 and 120% d⁻¹ in liver, 14 and 16% d⁻¹ in brain and 15 and 14% d⁻¹ in muscle. Predicted protein synthesis rates using the Ec + Ic, Ec + Ic + Tr (combined extracellular, intracellular and aminoacyl tRNA source pool) and Ec + Pls rat models were 57, 3.4 and 57% d⁻¹ in gastrocnemius, 58, 71 and 62% d⁻¹ in gut, 8.3, 8.4 and 7.9% d⁻¹ in heart, 32, 23 and 25% d⁻¹ in kidney, 160, 90 and 80% d⁻¹ in liver, 57, 5.5 and 57% d⁻¹ in soleus and 56, 3.4 and 57% d⁻¹ in tibialis. The Ec + Ic + Tr model underestimated protein synthesis rates in mouse tissues (5.0, 27 and 2.5% d⁻¹ for brain, liver and muscle) and rat muscles (3.4, 5.5 and 3.4% d⁻¹ for gastrocnemius, soleus and tibialis). The Ec + Pls model predicted the mouse pulse dose data best and the Ec + Ic model predicted the rat flooding dose data best. Model predictions of FSR imply that identification and separation of the source specific radioactivity is critical to accurately estimate FSR. Received June 11, 2000 Accepted September 26, 2000