Enzyme modification by MPEG with an amino acid or peptide as spacer arms

A method for the modification of enzymes by MPEG carrying an amino acid or peptide as a spacer arm is described and tested with aliphatic or aromatic side chains amino acids. The procedure involves MPEG activation by p-nitrophenylchloroformate for the amino acid or peptide coupling that is in turn activated for the protein binding. The advantage of the method resides in the possibility to introduce proper reporter groups between the polymer and the protein as norleucine for a direct evaluation of the bound polymer chains, tryptophan for structural studies of the polymer-protein adduct, and radioactive amino acid for pharmacokinetic investigations. The method was positively tested with arginase, ribonuclease, and superoxide dismutase as enzymes of therapeutic value.     

Immobilization of proteins as a tool for studying primary structure around their cysteinyl residues

The primary structure around the single cysteinyl residue of chicken pepsin was investigated by binding the protein via this residue to an insoluble carrier. Carriers stable towards reagents used for the fragmentation of proteins and sequence analysis were prepared by coupling a spacer arm to polyN-hydroxymethyl acrylamide using a thioether bond that is potentially cleavable by mercuric ions (1). Phenacyl bromide group, attached to the free end of the spacer, reacted rapidly and specifically with the cysteinyl residue of chicken pepsin. Up to 300 mg of the enzyme were bound to 1 g of carrier. The polymer-bound protein was cleaved by trypsin or by cyanogen bromide or by a sequence of both. Fragments of 40–120 amino acid residues, depending on the method of cleavage, remained attached to the polymer through the cysteinyl residue. The compositions and partial sequences of these fragments revealed that the cysteinyl residue is located within or in the vicinity of a loop in the molecule formed by a disulfide bond.     

Capillary gas chromatographic analysis of amino acids in geological environments with electron capture detection

Studies have been performed on the analysis of 21 amino acids using a fused-silica open tubular (FSOT) capillary column, and electron-capture detection (ECD) or flame-ionization detection (FID). It was shown with the N(O)-heptafluorobutyryl (HFB) amino acid isobutyl esters that the ECD response was several hundred times more sensitive than the FID response. The relative standard deviation (RSD) of retention relative to norleucine is determined with the ECD. RSD values for all N(O)-HFB amino acid isobutyl esters are relatively small (≦ 0.5%). This method has been successfully applied to trace analysis of most of the amino acids from fossil brachiopods and black shales.     

制备壳聚糖衍生物接枝聚乙二醇侧链的简单方法

壳聚糖及其衍生物由于其可再生性、生物相容性以及结构中的多种活性基团,具有多种优良的性质,已经广泛应用于化妆品、食品、医药、农业、环保等多个行业中.     

Chitosan-g-MPEG-modified alginate/chitosan hydrogel microcapsules: a quantitative study of the effect of polymer architecture on the resistance to protein adsorption

The chemical modification of the alginate/chitosan/alginate (ACA) hydrogel microcapsule with methoxy poly(ethylene glycol) (MPEG) was investigated to reduce nonspecific protein adsorption and improve biocompatibility in vivo. The graft copolymer chitosan-g-MPEG (CS-g-MPEG) was synthesized, and then alginate/chitosan/alginate/CS-g-MPEG (ACAC(PEG)) multilayer hydrogel microcapsules were fabricated by the layer-by-layer (LBL) polyelectrolyte self-assembly method. A quantitative study of the modification was carried out by the gel permeation chromatography (GPC) technique, and protein adsorption on the modified microcapsules was also investigated. The results showed that the apparent graft density of the MPEG side chain on the microcapsules decreased with increases in the degree of substitution (DS) and the MPEG chain length. During the binding process, the apparent graft density of CS-g-MPEG showed rapid growth-plateau-rapid growth behavior. CS-g-MPEG was not only bound to the surface but also penetrated a certain depth into the microcapsule membranes. The copolymers that penetrated the microcapsules made a smaller contribution to protein repulsion than did the copolymers on the surfaces of the microcapsules. The protein repulsion ability decreased with the increase in DS from 7 to 29% with the same chain length of MPEG 2K. CS-g-MPEG with MPEG 2K was more effective at protein repulsion than CS-g-MPEG with MPEG 550, having a similar DS below 20%. In this study, the microcapsules modified with CS-g-MPEG2K-DS7% had the lowest IgG adsorption of 3.0 ± 0.6 μg/cm(2), a reduction of 61% compared to that on the chitosan surface.     

Quantification of D/L-aspartic acids in Aplysia californica central nervous system by beta-cyclodextrin modified micellar electrokinetic chromatography.

In presence of an organic modifier (e.g. methanol), separation of amino acid enantiomers tagged with naphthalene-2,3-dicarboxaldehyde by beta-cyclodextrin modified micellar electrokinetic chromatography was dramatically improved. Coupled with laser-induced fluorescence detection, the method was well suited for analysis of D/L-amino acid enantiomers present in mass/volume-limited biological samples such as cell clusters. The five major ganglia dissected from the central nervous system of Aplysia californica, a widely used neuronal model, were analyzed to determine D- and L-aspartic acid enantiomers both free and bound in proteins/tissue matrix. The analyses revealed high levels of free D-aspartic acid ranging from 0.13 to 0.82 micromol/g wet tissue (or 6.0-21.2% of the total free aspartic acid) in all of the five ganglia. However, no D-aspartic acid was detected bound in protein/tissue matrix. The content of free D-aspartic acid in the liver tissue was also found below the detection limit of the method, which was 1 x 10(-8) M.     

异硫氰酸苯酯柱前衍生化反相高效液相法同时测定18种氨基酸

 建立了一种利用反相高效液相同时测定 18种氨基酸的方法。以正亮氨酸为内标物 ,异硫氰酸苯酯为柱前衍生剂 ,用C18柱在柱温 38℃下采用二元梯度洗脱 ,于 2 5 4nm波长处检测。氨基酸质量浓度在 3 5mg/L～ 5 5 6mg/L时 ,其峰面积与内标物峰面积的比值和氨基酸的质量浓度的线性相关系数 ,除胱氨酸 (0 96 2 )外均大于 0 99;18种氨基酸的加标回收率在 96 0 %～ 10 2 .4 %。信噪比为 2时 ,亮氨酸最低检测限为 0 5mg/L。应用该方法对小牛血去蛋白注射液中的游离氨基酸含量进行了测定 ,取得了满意的结果。     

ActTRANS: Functional classification in active transport proteins based on transfer learning and contextual representations

MotivationPrimary and secondary active transport are two types of active transport that involve using energy to move the substances. Active transport mechanisms do use proteins to assist in transport and play essential roles to regulate the traffic of ions or small molecules across a cell membrane against the concentration gradient. In this study, the two main types of proteins involved in such transport are classified from transmembrane transport proteins. We propose a Support Vector Machine (SVM) with contextualized word embeddings from Bidirectional Encoder Representations from Transformers (BERT) to represent protein sequences. BERT is a powerful model in transfer learning, a deep learning language representation model developed by Google and one of the highest performing pre-trained model for Natural Language Processing (NLP) tasks. The idea of transfer learning with pre-trained model from BERT is applied to extract fixed feature vectors from the hidden layers and learn contextual relations between amino acids in the protein sequence. Therefore, the contextualized word representations of proteins are introduced to effectively model complex structures of amino acids in the sequence and the variations of these amino acids in the context. By generating context information, we capture multiple meanings for the same amino acid to reveal the importance of specific residues in the protein sequence.ResultsThe performance of the proposed method is evaluated using five-fold cross-validation and independent test. The proposed method achieves an accuracy of 85.44 %, 88.74 % and 92.84 % for Class-1, Class-2, and Class-3, respectively. Experimental results show that this approach can outperform from other feature extraction methods using context information, effectively classify two types of active transport and improve the overall performance.     

Indexing and mapping of proteins using a modified nonlinear Sammon projection

A modified Sammon algorithm was developed to display a relationship between proteins based on their amino acid composition. In the first stage of the method, a 19-dimensional compositional space of representative proteins was mapped into a two-dimensional space (2D) using the original Sammon projection creating a contour map. In the second stage, this contour map was used as a reference for new proteins projected into 2D. Data analysis showed that proteins belonging to the same structural classes formed characteristic and distinct clusters, which could be potentially useful in the prediction of protein structural classes. However, we observed significant overlapping of the clusters, which may explain the limited success of previous protein folding prediction based solely on amino acid composition. Regardless, the modified Sammon projections can generate a unique index for each individually projected protein related to its amino acid composition, which may be a useful tool in the exploratory classification of proteins. ©1999 John Wiley & Sons, Inc. J Comput Chem 20: 1049–1059, 1999     

Gel filtration study of mushroom proteins

Summary Proteins from six edible wild mushrooms were extracted by sodium chloride, ethanol or sodium hydroxide and analysed by gel filtration on Sephacryl S-200. Analysis of the whole extracts and the separated proteins of different molecular weight as well as the determination of their amino acid content demonstrated that the soluble mushroom proteins are dimers, trimers and decamers of the simple main protein (polypeptide) with an approximate molecular weight of 15,000. The polymers were stabilized by both covalent and non-covalent forces as demonstrated by gel filtration in acetic acid before and after reduction of the covalent bonds.     

A technique for the determination of protein concentration by neutron activation analysis of silver binding

A method for the quantitative determination of small amounts of protein samples was developed employing neutron activation analysis. Current methods of protein concentration determination are severely limited as a result of differences in the specific characteristics of each protein. Silver binding has been used as a sensitive colorimetric method to indicate the presence of protein. However, silver-protein complexes can have a variety of absorbance spectra unique to each protein, which complicate the analysis. Various amounts of specific proteins were equilibrated in an excess of silver nitrate prior to the reduction of the silver by the addition of NaBH₄, HCHO, and NaOH. The protein-silver complex was rapidly separated from the unbound silver by centrifugation chromatography and the amount of bound silver was determined by INAA. The amount of silver was proportional to the amount of protein present in each sample. When the silver was not reduced prior to removal of the unbound silver by chromatography, only negligible amounts of silver remained bound to the protein. The stoichiometry of bound silver to protein on a molar basis showed relatively small differences for the proteins that were examined. This ratio was found to depend on the conditions of the binding and reduction of the silver. The results suggest that the binding of silver is not specific to any charged or polar groups on these proteins and may, therefore, provide a means of determination of the concentration of protein that has general application for all proteins.     

进化树指导的腺病毒六邻体家族蛋白的快速建模

为实现对人腺病毒六邻体家族蛋白进行快速准确的结构建模, 本研究发展了一种新的基于进化树的预测蛋白质家族中一系列分子三维空间结构的快速建模方法. 首先利用邻接法对7株D亚属人腺病毒的六邻体序列构建了基于距离的进化树, 并根据进化树所提供的信息, 确定最佳六邻体家族蛋白渐进式建模路径, 然后利用Modeler与Charmm程序实现六邻体家族蛋白的快速建模. 新的建模方法与传统方法相比, 所需要的计算量大大减少, 结果经过结构评估以及与传统方法建模所得到的结构进行比较,证实基于进化树的快速模建结果是可靠的. 人腺病毒六邻体家族蛋白的快速建模, 对于实现快速高通量的表位预测及开发多价人腺病毒疫苗与腺病毒分型诊断试剂都具有非常重大的意义.     

Elongation factor Tu mutants expand amino acid tolerance of protein biosynthesis system

Nonnatural amino acids have been introduced into proteins using expanded protein biosynthesis systems. However, some nonnatural amino acids, especially those containing large aromatic groups, are not efficiently incorporated into proteins. Reduced binding efficiency of aminoacylated tRNAs to elongation factor Tu (EF-Tu) is likely to limit incorporation of large amino acids. Our previous studies suggested that tRNAs carrying large nonnatural amino acids are bound less tightly to EF-Tu than natural amino acids. To expand the availability of nonnatural mutagenesis, EF-Tu from the E. coli translation system was improved to accept such large amino acids. We synthesized EF-Tu mutants, in which the binding pocket of the aminoacyl moiety of aminoacyl-tRNA was enlarged. L-1-Pyrenylalanine, L-2-pyrenylalanine, and DL-2-anthraquinonylalanine, which are hardly or only slightly incorporated with the wild-type EF-Tu, were successfully incorporated into a protein using these EF-Tu mutants.     

A GC-ECD method for estimation of free and bound amino acids, gamma-aminobutyric acid, salicylic acid, and acetyl salicylic acid from Solanum lycopersicum (L.)

A gas chromatograph with electron capture detection method for estimation of selected metabolites--amino acids (free and bound), gamma-aminobutyric acid (GABA), salicylic acid (SA), and acetyl salicylic acid (ASA) from tomato--is reported. The method is based on nitrophenylation of the metabolites by 1-fluoro-2, 4-dinitrobenzene under aqueous alkaline conditions to form dinitophenyl derivatives. The derivatives were stable under the operating conditions of GC. Analysis of bound amino acids comprised perchloric acid precipitation of protein, alkylation (carboxymethylation) with iodoacetic acid, vapor-phase hydrolysis, and derivatization with 1-fluoro-2,4-dinitrobenzene in that order. The metabolites were resolved in 35 min, using a temperature-programmed run. The method is rapid, sensitive, and precise. It easily measured the typical amino acids (aspartate, asparagine, glutamate, glutamine, alanine, leucine, lysine, and phenylalanine) used for identification and quantification of a protein, resolved amino acids of the same mass (leucine and isoleucine), satisfactorily measured sulfur amino acid (methionine, cystine, and cysteine), and quantified GABA, SA, and ASA, as well. The developed method was validated for specificity, linearity, and precision. It has been applied and recommended for estimation of 25 metabolites from Solanum lycopersicum (L.).     

Exploring the effectiveness of the TSR-based protein 3-D structural comparison method for protein clustering,and structural motif identification and discovery of protein kinases,hydrolases, and SARS-CoV-2’s protein via the application of amino acid grouping

Development of protein 3-D structural comparison methods is essential for understanding protein functions. Some amino acids share structural similarities while others vary considerably. These structures determine the chemical and physical properties of amino acids. Grouping amino acids with similar structures potentially improves the ability to identify structurally conserved regions and increases the global structural similarity between proteins. We systematically studied the effects of amino acid grouping on the numbers of Specific/specific, Common/common, and statistically different keys to achieve a better understanding of protein structure relations. Common keys represent substructures found in all types of proteins and Specific keys represent substructures exclusively belonging to a certain type of proteins in a data set. Our results show that applying amino acid grouping to the Triangular Spatial Relationship (TSR)-based method, while computing structural similarity among proteins, improves the accuracy of protein clustering in certain cases. In addition, applying amino acid grouping facilitates the process of identification or discovery of conserved structural motifs. The results from the principal component analysis (PCA) demonstrate that applying amino acid grouping captures slightly more structural variation than when amino acid grouping is not used, indicating that amino acid grouping reduces structure diversity as predicted. The TSR-based method uniquely identifies and discovers binding sites for drugs or interacting proteins. The binding sites of nsp16 of SARS-CoV-2, SARS-CoV and MERS-CoV that we have defined will aid future antiviral drug design for improving therapeutic outcome. This approach for incorporating the amino acid grouping feature into our structural comparison method is promising and provides a deeper insight into understanding of structural relations of proteins.     

A Novel Reagent for Radioiodine Labeling of New Chemical Entities (NCEs) and Biomolecules

Radioiodine labeling of peptides and proteins is routinely performed by using various oxidizing agents such as Chloramine T, Iodobeads, and Iodogen reagent and radioactive iodide (I⁻), although some other oxidizing agents were also investigated. The main objective of the present study was to develop and test a novel reagent, inorganic monochloramine (NH₂Cl), for radioiodine labeling of new chemical entities and biomolecules which is cost-effective, easy to make and handle, and is selective to label amino acids, peptides, and proteins. The data presented in this report demonstrate that the yields of the non-radioactive iodine labeling reactions using monochloramine are >70% for an amino acid (tyrosine) and a cyclic peptide (cyclo Arg-Gly-Asp-d-Tyr-Lys, cRGDyK). No evidence of the formation of N-chloro derivatives in cRGDyK was observed, suggesting that the reagent is selective in iodinating the tyrosine residue in the biomolecules. The method was successfully translated into radioiodine labeling of amino acid, a peptide, and a protein, Bovine Serum Albumin (BSA).     

Identification of mouse brain proteins after two-dimensional electrophoresis and electroblotting by microsequence analysis and amino acid composition analysis

Two-dimensional electrophoretic separation and immobilization of proteins onto inert membranes for subsequent amino acid sequence and amino acid composition analysis is described as a rapid procedure for the identification or characterization of proteins from complex mixtures. This method avoids the drawbacks of classical purification and isolation methods which involve time-consuming operations with low resolution and, often, insufficient yields. Excellent overall yields of minor amounts (in the low microgram range) using this method allow for sequence determination of yet inaccessible proteins. Solubilized cell proteins of mouse brain were separated by high resolution two-dimensional electrophoresis and electroblotted onto a siliconized glass fiber membrane. The immobilized proteins were stained with Coomassie Brilliant Blue R-250, and twelve proteins spots were then submitted to both Edman degradation and amino acid analysis. Proteins were identified by comparison of the experimentally determined amino acid composition with a dataset derived from the Protein Identification Resource (PIR) protein sequence database. Eight out of twelve proteins tested were identified by amino acid analysis and confirmed by N-terminal sequence determination.     

Squaric Acid Mediated Chemoselective PEGylation of Proteins: Reactivity of Single‐Step‐Activated α‐Amino Poly(ethylene glycol)s

The covalent attachment of poly(ethylene glycol) (PEG) to therapeutically active proteins (PEGylation) has become an important method to deal with the pharmacological difficulties of these polypeptides, such as short body‐residence times and immunogenicity. However, the derivatives of PEG used for PEGylation lack further functional groups that would allow the addition of targeting or labeling moieties. Squaric acid diethyl ester was used for the chemoselective single‐step activation of poly(ethylene glycol)s into the respective ester amides. The resultant selective protein‐reactive poly(ethylene glycol)s were investigated with respect to their selectivity towards amino acid residues in bovine serum albumin (as a model protein). The presented procedure relies on a robust two‐step protocol and was found to be selective towards lysine residues; the activated polyethers are efficient and stoichiometric PEGylation agents with a remarkable hydrolytic stability over a period of several days. By adjusting the pD value of the conjugation mixture, the chemoselectivity of the activated PEGs towards the α‐ and ε‐amino groups of lysine methyl ester was effectively changed.     

Metal ion affinity purification of proteins by genetically incorporating metal-chelating amino acids

Affinity tags are efficient tools for protein purification. They allow simple one-step purification of proteins to high purity. However, in some cases the tags cause structural and functional changes in a protein, and need to be removed. Therefore, affinity tags that are readily introduced into proteins with minimal perturbation and have specific affinity for purification are desired. Herein, two metal-chelating amino acids derived from 2,2′-bipyridine and 8-hydroxyquinoline were genetically incorporated into glutathione S-transferase (GST) and the mutant proteins were purified by using the metal ion affinity of the unnatural amino acids. The purification of the GST mutants containing 2-amino-3-(8-hydroxyquinolin-3-yl)propanoic acid (HQA) showed that the proteins could be efficiently enriched in Ni–NTA by the metal ion affinity of the unnatural amino acid and purified to excellent purity. This method should be very useful for general protein affinity purification, especially for proteins whose structure or function is affected by affinity tags fused to N- or C-terminals.