PHYSICO2: an UNIX based standalone procedure for computation of physicochemical,window-dependent and substitution based evolutionary properties of protein sequences along with automated block preparation tool,version 2

AvailabilityPHYSICO2: is freely available at http://sourceforge.net/projects/physico2/ along with its documentation at https://sourceforge.net/projects/physico2/files/Documentation.pdf/download for all users.     

Purification of Bacillus subtilis Spore Coat Protein by Electrophoretic Elution Procedure and Determination of NH2-Terminal Amino Acid Sequences

Spore coat protein of Bacillus subtilis was purified by electrophoretic elution procedure. Solubilized coat protein components were separated on SDS-PAGE and the desired protein was recovered from the gel pieces under the optimal condition examined. Two purified polypeptides with molecular weights of about 40 kDa were obtained; each of them was in very closed size on SDS-PAGE, both retaining antigenic activity against anti-spore coat protein serum on immunoblot analysis. The N-terminal 23 and 30 amino acid sequences of them were determined, and they were not identical to each other and also not homologous in the sequences of coat proteins previously reported.     

Protein Sequences of Two Keto Ester Reductases: Possible Identity as Hypothetical Proteins

We determined the amino acid sequences of two keto ester reductases (YKER-V and -VI) purified from a cell-free extract of Saccharomyces cerevisiae. The N-terminal and internal amino acid sequences of YKER-VI (AcKR) were in agreement with the sequence of hypothetical 36.4-kDa protein (S. cerevisiae chromosome X reading frame ORF YJR105w) in yeast. The N-terminal amino acid sequence of YKER-V was also identical with that of the hypothetical protein coded by yeast chromosome XIV or II. These results suggested that two hypothetical proteins were expressed as keto ester reductases in yeast cells.     

DeepFunc: A Deep Learning Framework for Accurate Prediction of Protein Functions from Protein Sequences and Interactions

Annotation of protein functions plays an important role in understanding life at the molecular level. High‐throughput sequencing produces massive numbers of raw proteins sequences and only about 1% of them have been manually annotated with functions. Experimental annotations of functions are expensive, time‐consuming and do not keep up with the rapid growth of the sequence numbers. This motivates the development of computational approaches that predict protein functions. A novel deep learning framework, DeepFunc, is proposed which accurately predicts protein functions from protein sequence‐ and network‐derived information. More precisely, DeepFunc uses a long and sparse binary vector to encode information concerning domains, families, and motifs collected from the InterPro tool that is associated with the input protein sequence. This vector is processed with two neural layers to obtain a low‐dimensional vector which is combined with topological information extracted from protein–protein interactions (PPIs) and functional linkages. The combined information is processed by a deep neural network that predicts protein functions. DeepFunc is empirically and comparatively tested on a benchmark testing dataset and the Critical Assessment of protein Function Annotation algorithms (CAFA) 3 dataset. The experimental results demonstrate that DeepFunc outperforms current methods on the testing dataset and that it secures the highest F_max = 0.54 and AUC = 0.94 on the CAFA3 dataset.     

Micronuclear and Macronuclear Sequences of a Euplotes crassus Gene Encoding a Putative Nuclear Protein Kinase

The sequences of a 1.8-kbp macronuclear DNA molecule (V3), and the majority of its micronuclear counterpart, are reported. The macronuclear V3 DNA molecule contains an open reading frame that is interrupted by a single intron, while the micronuclear copy is interrupted by four internal eliminated sequences, one of which is located within the intron. The predicted protein product of the macronuclear V3 gene is a 471-amino acid polypeptide that is very similar to a group of protein-serine/threonine kinases from both plant and animal species, some of whose members appear to be involved in cell cycle or growth control.     

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.     

OH-PRED: prediction of protein hydroxylation sites by incorporating adapted normal distribution bi-profile Bayes feature extraction and physicochemical properties of amino acids

Hydroxylation of proline or lysine residues in proteins is a common post-translational modification event, and such modifications are found in many physiological and pathological processes. Nonetheless, the exact molecular mechanism of hydroxylation remains under investigation. Because experimental identification of hydroxylation is time-consuming and expensive, bioinformatics tools with high accuracy represent desirable alternatives for large-scale rapid identification of protein hydroxylation sites. In view of this, we developed a supporter vector machine-based tool, OH-PRED, for the prediction of protein hydroxylation sites using the adapted normal distribution bi-profile Bayes feature extraction in combination with the physicochemical property indexes of the amino acids. In a jackknife cross validation, OH-PRED yields an accuracy of 91.88% and a Matthew’s correlation coefficient (MCC) of 0.838 for the prediction of hydroxyproline sites, and yields an accuracy of 97.42% and a MCC of 0.949 for the prediction of hydroxylysine sites. These results demonstrate that OH-PRED increased significantly the prediction accuracy of hydroxyproline and hydroxylysine sites by 7.37 and 14.09%, respectively, when compared with the latest predictor PredHydroxy. In independent tests, OH-PRED also outperforms previously published methods.     

Novel In Silico Analyses of Repetitive Spider Silk Sequences to Understand the Evolution and Mechanical Properties of Fibrous Protein Materials

The mechanical properties of spider silks have diverged as spiders have diversely speciated. Because the main components of silks are proteins, it is valuable to investigate their sequences. However, silk sequences have been regarded as difficult information to analyze due to their imbalance and imperfect tandem repeats (ITR). Here, an in silico approach is applied to systemically analyze a group of silk sequences. It is found that every time new spider groups emerge, unique trimer motifs appear. These trimer motifs are used to find additional clues of evolution and to determine relationships with mechanical properties. For the first time, crucial evidence is provided that shows silk sequences coevolved with spider species and the mechanical properties of their fibers to adapt to new living environments. This novel approach can be used as a platform for analyzing other groups of ITR‐harboring proteins and to obtain information for the design of tailor‐made fibrous protein materials.     

phorest: a web‐based tool for comparative analyses of expressed sequence tag data

Comparative analysis of expressed sequence tags is becoming an important tool in molecular ecology for comparing gene expression in organisms grown in certain environments. Additionally, expressed sequence tag database information can be used for the construction of DNA microarrays and for the detection of single nucleotide polymorphisms. For such applications, we present phorest , a web‐based tool for managing, analysing and comparing various collections of expressed sequence tags. It is written in PHP (PHP: Hypertext Preprocessor) and runs on UNIX, Microsoft Windows and Macintosh (Mac OS X) platforms.     

A comparative study of available software for high-accuracy homology modeling: from sequence alignments to structural models

An open question in protein homology modeling is, how well do current modeling packages satisfy the dual criteria of quality of results and practical ease of use? To address this question objectively, we examined homology‐built models of a variety of therapeutically relevant proteins. The sequence identities across these proteins range from 19% to 76%. A novel metric, the difference alignment index (DAI), is developed to aid in quantifying the quality of local sequence alignments. The DAI is also used to construct the relative sequence alignment (RSA), a new representation of global sequence alignment that facilitates comparison of sequence alignments from different methods. Comparisons of the sequence alignments in terms of the RSA and alignment methodologies are made to better understand the advantages and caveats of each method. All sequence alignments and corresponding 3D models are compared to their respective structure‐based alignments and crystal structures. A variety of protein modeling software was used. We find that at sequence identities >40%, all packages give similar (and satisfactory) results; at lower sequence identities (<25%), the sequence alignments generated by Profit and Prime, which incorporate structural information in their sequence alignment, stand out from the rest. Moreover, the model generated by Prime in this low sequence identity region is noted to be superior to the rest. Additionally, we note that DSModeler and MOE, which generate reasonable models for sequence identities >25%, are significantly more functional and easier to use when compared with the other structure‐building software.     

OpenPIP: An Open-source Platform for Hosting,Visualizing and Analyzing Protein Interaction Data

Knowing which proteins interact with each other is essential information for understanding how most biological processes at the cellular and organismal level operate and how their perturbation can cause disease. Continuous technical and methodological advances over the last two decades have led to many genome-wide systematically-generated protein–protein interaction (PPI) maps. To help store, visualize, analyze and disseminate these specialized experimental datasets via the web, we developed the freely-available Open-source Protein Interaction Platform (openPIP) as a customizable web portal designed to host experimental PPI maps. Such a portal is often required to accompany a paper describing the experimental data set, in addition to depositing the data in a standard repository. No coding skills are required to set up and customize the database and web portal. OpenPIP has been used to build the databases and web portals of two major protein interactome maps, the Human and Yeast Reference Protein Interactome maps (HuRI and YeRI, respectively). OpenPIP is freely available as a ready-to-use Docker container for hosting and sharing PPI data with the scientific community at http://openpip.baderlab.org/ and the source code can be downloaded from https://github.com/BaderLab/openPIP/.     

Preparation and Properties of an Immunosorbent Column Specific for the Myelin Basic Protein

Abstract: An immunosorbent column specific for the myelin basic protein (BP) was prepared by coupling purified anti-BP antibodies to cyanogen bromide (BrCN)-activated Sepharose 4B. The BP-immunosorbent column bound BP between pH 4.5 and pH 6.8. In its working range the column bound approximately 400-475 μg of BP at pH 6.8 and 250 μg at pH 4.5 with recoveries of 72-77%. The BP-immunosorbent column could effectively separate BP from simple mixtures of BP and proteins of similar size and charge and from acid extracts of bovine brain. The results indicate that the BP-immunosorbent column can be used to isolate BP from a mixture of proteins and may be adapted for use in the small-scale purification of the myelin basic proteins involving a minimum number of steps.     

一个园艺植物基因组序列和注释的在线批量实时提取平台

目前, 大量园艺植物基因组测序已经完成或接近尾声, 它们的基因组序列和注释数据极大地促进了功能基因组学研究。为给科研人员提供批量下载特定的基因组区段序列和注释平台, 笔者开发了一个称为OBRRP的生物信息学工具。OBRRP具有提取葡萄(Vitis vinifera)、桃(Prunus persica)、草莓(Fragaria vesca)、黄瓜(Cucumis sativus)、西瓜(Citrullus lanatus)、番茄(Solanum lycopersicum)、甜橙(Citrus sinensis)、苹果(Malus x domestica)、猕猴桃(Actinidia chinensis)、马铃薯(Solanum tuberosum)、香蕉(Musa acuminata)和拟南芥(Arabidopsis thaliana) 12种植物基因组序列及注释数据的功能; 同时, 也具有扩展到其它Gbrowser浏览器架构的数据库功能。测试结果表明, OBRRP是一个快捷简便的在线、批量和实时提取工具, 其登录地址为http://bioinfo.jit.edu.cn/OBRRP/。     

表达绿色荧光蛋白突变体的重组伪狂犬病毒的构建及其增殖特性

将绿色荧光蛋白突变体M 1(EGFPS14 7/P)基因融合到伪狂犬病毒 (PRV)非必需糖蛋白 gG的第 8个氨基酸下游 ,通过同源重组、空斑纯化和PCR筛选获得能表达M 1并导致gG基因部分缺失的重组病毒 gG-/M1 。重组病毒经Southern杂交、Western印迹和荧光观察证实构建正确。纯化的重组病毒以低感染指数接种PK 15细胞 ,在感染早期 (6h)就能观察到荧光 ,随着病毒的增殖 ,荧光逐渐增强 (2 4～ 36h) ,直至完全病变 ,荧光淬灭。进一步对重组病毒gG-/M1 与亲本株gG-/LacZ 、野毒株的增殖特性进行比较 ,发现 3种毒株在增殖滴度上无显著差异。上述结果表明构建的PRVgG-/M1 突变株能作为活细胞示踪实时监测病毒感染的动态分析。     

Analysis and Organization of Protein Sequence Data: A Retrospective Spanning Four Decades

Protein sequence data are as useful and valuable today as was envisioned by pioneering sequencers and by the organizers of the first sequence database. Sequence analysis was first the province of specialists who developed search, comparison, and tree-building methods. Microcomputers, communication satellites, and the Internet have made these methods accessible to any scientist. The rapid increase in the data has driven a succession of changes in how databases are compiled, distributed, and accessed. Large public databases have become international collaborations. Although they need to develop still more efficient ways to accumulate, organize, annotate, and standardize huge amounts of data, inadequate support is available for such efforts. Thus there will be greater reliance on direct input from the scientific community. The World Wide Web is essential but not sufficient for integrated access to related databases.     

Molecular Comparison of Dengue Type 1 Mochizuki Strain Virus and Other Selected Viruses Concerning Nucleotide and Amino Acid Sequences of Genomic RNA: A Consideration of Viral Epidemiology and Variation

Dengue-1 (D1) Mochizuki strain was examined for its nucleotide and amino acid sequences of genomic RNA and the data obtained were compared with those of other selected virus strains reported previously. Genomic regions corresponding to C, preM and M proteins were the major subjects of study. Parts of E protein were additionally examined. Among the D1 viruses investigated, the Mochizuki virus which was isolated in 1943 in Japan was shown to be close to Philippine 836-1 strain isolated in 1984 and Nauru Island strain isolated in 1974 at the respective places, in contrast with Thai AHF 82-80 strain isolated in 1980 and Caribbean CV1636/77 strain isolated in 1977. At the same time, a difference was noted between the Mochizuki and Philippine/Nauru strains at the cleavage site of preM/M junction: Mochizuki possessed RRGKR/S sequence whereas the Philippine/Nauru had RRDKR/S. The glycosylation site in preM and hydrophobic regions at the carboxyl termini of M and E were well conserved. Significances of the data are discussed in connection with viral epidemiology and variation.     

CodHonEditor: Spreadsheets for Codon Optimization and Editing of Protein Coding Sequences

Gene synthesis is getting more important with the growing availability of low-cost commercial services. The coding sequences are often “optimized” as for the relative synonymous codon usage (RSCU) before synthesis, which is generally included in the commercial services. However, the codon optimization processes are different among different providers and are often hidden from the users. Here, the d'Hondt method, which is widely adopted as a method for determining the number of seats for each party in proportional-representation public elections, is applied to RSCU fitting. This allowed me to make a set of electronic spreadsheets for manual design of protein coding sequences for expression in Escherichia coli, with which users can see the process of codon optimization and can manually edit the codons after the automatic optimization. The spreadsheets may also be useful for molecular biology education     

An Approach to Searching Protein Sequences for Superfamily Relationships or Chance Similarities Relevant to the Molecular Mimicry Hypothesis: Application to the Basic Proteins of Myelin

A rapid method for similarity searches (FASTP program) was used to identify similarities between a protein database and the human basic proteins from myelin [P2 protein and 17.2K, 18.5K, and 21.5K variants of myelin basic protein (MBP)]. From similarity scores, we concluded that none of the presently known proteins are in a family containing the MBPs. No new members were found for the lipid-binding family of which P2 is a member. Sequence similarities deemed relevant to the molecular mimicry hypothesis for virus-induced autoimmunity were identified in FASTP data with the aid of microcomputer programs. Several MBP/viral protein similarities were found that have not been reported previously. Of note because of their association with demyelinating conditions were proteins from visna and vaccinia. Similarity with visna was specific to the 21.5K and 20.2K MBPs. The most interesting new possibility for mimicry involving the P2 protein was between the influenza A NS2 protein and a sequence region of P2 thought to be neuritogenic in animals and mitogenic for lymphocytes from some patients with Guillain-Barré syndrome (GBS). This may have relevance for some cases of GBS associated with the 1976 U.S.A. swine flu vaccination program. Because FASTP reports only the best similarities between proteins, searches with FASTP may not have detected all the examples of mimicry present in the database. Searches might also be more effective if similarities could be scored on immunological rather than structural relatedness.     

Ansig for Windows: An interactive computer program for semiautomatic assignment of protein NMR spectra

Assignment of NMR spectra is a prerequisite for structure determination of proteins using NMR. The time spent on the assignment is comparatively long compared to that spent on other parts in the protein structure determination process, but it can be shortened by using either interactive or fully automated computer programs. To benefit from the advantages of both types of program we have developed a version of the interactive assignment program ANSIG to include automatized, yet user-supervised, routines. The new program includes tools for (i) semiautomatic sequential assignment, (ii) plotting of distances from PDB structure files directly in NMR spectra and (iii) statistical analysis of distance restraint violations with the possibility to directly zoom to violated NOEs in NOESY spectra.     

可改良棉粕蛋白的菌株选育及其发酵

棉粕蛋白质含量高达38％~50％,然而作为饲料其蛋白质品质较差,饲料利用率较低。为提高其蛋白质利用率,从自然界筛选出了能够高效降解棉粕大分子蛋白质的优良菌株4株,经生化与分子生物学试验鉴定为Bacillus subtilis(2株,编号为H1和H7),Bacillus cereus (1株,编号为H9)和Aspergillus niger (1株,编号为P1)。通过单菌及组合发酵实验比较发现:最适宜菌种组合为B. subtilis(H1)和A. niger (P1)。两菌株组合发酵后,棉粕TCA-NSI(三氯乙酸氮溶指数)提高了25.34%,小分子多肽含量提高了11%,游离必需氨基酸提高了24%,蛋白质的体外消化率由44.56%提高到了78.61%,明显高于其他菌种组合,研究结果表明其组合发酵可有效改良棉粕蛋白品质,显著提高棉粕蛋白的饲用价值。