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At least 19 recordsLinked to original sources

New tools for protein sequence analysis.

Analysis of protein sequence is an important tool in studies of both native and recombinant proteins. Novel techniques and instrumentation which facilitate determination of protein primary structure have recently been developed.

Amino Acid Sequence↗

[Genomic structure and proteins sequence analysis of full-length of segment A of three infections bursal disease viruses].

The full-length of segment A of three infectious bursal disease viruses (IBDV), including an attenuated strain HZ2, an attenuated vaccine strain JD1 and a virulent field isolate ZJ2000, were cloned by long RT-PCR and sequenced respectively. All the three results revealed the identity of IB-DV with two overlapping open reading frames (ORF) flanked by 5'- and 3'-noncoding regions(NCR) in 3259 bp long. The strains shared high identity with each other at nucleotide or deduced amino acid level, and also had four unique sites H253, N279, T284, R330 which are common in other attenuated and some classic or highly virulent strains. The virulent strain ZJ2000 had several key amino acid mutations located in hypervariant region of VP2 and near the VP2-VP4 cleavage site of polypeptide, which is probably related to the virulence. Sequence comparison supported that VP2 is not the sole determinant of the virulence. The highly conservation in 5'- and 3'-NCR of different strains indicated the NCR may be not responsible for the virulence. But the same conservation appeared in VP5 revealed another complex relationship between VP5 and the virulence.

Amino Acid Sequence↗

Human endometrial proteins with cyclic changes in the expression during the normal menstrual cycle: characterization by protein sequence analysis.

Endometrial proteins showing cyclic expression during the normal menstrual cycle were localized on two-dimensional (2-D) electrophoresis gels separating proteins with isoelectric points (pl) ranging from 3.5 to 7 and relative molecular weights ranging from 10 to 300 kDa. Menstrual cycle-related proteins were excised from several 2-D gels, concentrated by one-dimensional (1-D) sodium dodecyl sulphate (SDS)-polyacrylamide gel electrophoresis, and cleaved in situ by trypsin. The tryptic fragments were extracted and separated by reverse phase high performance liquid chromatography (RP-HPLC). Finally, the partial amino-terminal amino acid sequence of selected tryptic fragments were determined for each protein. We aimed at characterizing the 21 menstrual cycle-related proteins that were visible on silver-stained 2-D electrophoresis gels. Of the proteins being maximally synthesized in the proliferative phase endometrium, we identified proteins associated mainly with the cytoskeleton: vimentins, keratin, tropomyosin and tubulin, but also proteins such as proliferating cell nuclear antigen and beta-galactoside binding lectin. The partial amino acid sequences for another two proteins did not match any protein sequence in the Protein Identification Resource (PIR) and Swissprot databases. In the group of proteins having maximal synthesis in the secretory phase endometrium, we identified creatine kinase chain B and an isocitrate dehydrogenase-homologous protein, both of which are involved in energy metabolism. However, we also identified the annexin IV precursor, the 14-3-3 protein homologue also called stratifin or the epithelial cell marker protein 1 and the 21K tumour protein. Finally, four of the proteins were present in too low amounts to allow characterization. Interestingly, most of the identified proteins have not previously been described as having a menstrual cycle-related synthesis in the human endometrium. It may be considered that the concentration of some of the cycle-related proteins may be used in clinical situations to reflect specific endometrial phases.

Amino Acid Sequence↗

ANTHEPROT: an integrated protein sequence analysis software with client/server capabilities.

Programs devoted to the analysis of protein sequences exist either as stand-alone programs or as Web servers. However, stand-alone programs can hardly accommodate for the analysis that involves comparisons on databanks, which require regular updates. Moreover, Web servers cannot be as efficient as stand-alone programs when dealing with real-time graphic display. We describe here a stand-alone software program called ANTHEPROT, which is intended to perform protein sequence analysis with a high integration level and clients/server capabilities. It is an interactive program with a graphical user interface that allows handling of protein sequence and data in a very interactive and convenient manner. It provides many methods and tools, which are integrated into a graphical user interface. ANTHEPROT is available for Windows-based systems. It is able to connect to a Web server in order to perform large-scale sequence comparison on up-to-date databanks. ANTHEPROT is freely available to academic users and may be downloaded at http://pbil.ibcp.fr/ANTHEPROT.

Algorithms↗

Distinct stages of protein evolution as suggested by protein sequence analysis.

Evolution of proteins encoded in nucleotide sequences began with the advent of the triplet code. The chronological order of the appearance of amino acids on the evolution scene and the steps in the evolution of the triplet code have been recently reconstructed (Trifonov, 2000b) on the basis of 40 different ranking criteria and hypotheses. According to the consensus chronology, the pair of complementary GGC and GCC codons for the amino acids alanine and glycine appeared first. Other codons appeared as complementary pairs as well, which divided their respective amino acids into two alphabets, encoded by triplets with either central purines or central pyrimidines: G, D, S, E, N, R, K, Q, C, H, Y, and W (Glycine alphabet G) and A, V, P, S, L, T, I, F, and M (Alanine alphabet A). It is speculated that the earliest polypeptide chains were very short, presumably of uniform length, belonging to two alphabet types encoded in the two complementary strands of the earliest mRNA duplexes. After the fusion of the minigenes, a mosaic of the alphabets would form. Traces of the predicted mosaic structure have been, indeed, detected in the protein sequences of complete prokaryotic genomes in the form of weak oscillations with the period 12 residues in the form of alteration of two types of 6 residue long units. The next stage of protein evolution corresponded to the closure of the chains in the loops of the size 25-30 residues (Berezovsky et al., 2000). Autocorrelation analysis of proteins of 23 complete archaebacterial and eubacterial genomes revealed that the preferred distances between valine, alanine, glycine, leucine, and isoleucine along the sequences are in the same range of 25-30 residues, indicating that the loops are primarily closed by hydrophobic interactions between the ends of the loops. The loop closure stage is followed by the formation of typical folds of 100-200 amino acids, via end-to-end fusion of the genes encoding the loop-size chains. This size was apparently dictated by the optimal ring closure for DNA. In both cases the closure into the ring (loop) rendered evolutionarily advantageous stability to the respective structures. Further gene fusions lead to the formation of modern multidomain proteins. Recombinational gene splicing is likely to have appeared after the DNA circularization stage.

Amino Acid Sequence↗

Designing hardware for protein sequence analysis.

UNLABELLED: We present the architecture of PROSIDIS, a special purpose co-processor designed to search for the occurrence of substrings similar to a given 'template string' within a proteome. Actual tests show speed up figures ranging from 5 to 50 with respect to conventional general-purpose processors. AVAILABILITY: the PROSIDIS configuration file and the c code are available at http://www.enea.it/hpcn/php/rosato/

Algorithms↗

Protein sequence analysis and mapping of IgE and IgG epitopes of an allergenic 98-kDa Dermatophagoides farinae paramyosin, Der f 11.

BACKGROUND: A 98-kDa mite paramyosin (Der f 11) from Dermatophagoides farinae (Df) is highly allergenic, and its cDNA (Df642) has been cloned. This paper describes the sequence characteristics and the mapping of the immunodominant human IgE and IgG epitopes of Der f 11. METHODS: The protein sequence analysis was performed with a combination of FASTA, GCG, and CLUSTAL W computing packages. The whole cDNA insert and its PCR-derived DNA fragments were generated and expressed in E. coli. These overlapping recombinant peptides (F1 to F5) were used for B-cell epitope mapping with 18 mite-allergic sera by dot immunoassays. RESULTS: Df642 cDNA encodes a partial sequence that contains the 2nd to 26th 28-residue repeats and lacks the N-terminus and the C-terminus. The sequence identity of Der f 11 with other known paramyosins is 34-60%. The dominant IgE epitopes are located in peptides F1 and F4, whereas the dominant IgG epitopes are located in peptides F1 and F2. These peptides are more reactive than whole rDf642. CONCLUSIONS: Mite paramyosin is very similar to other known paramyosins. The human IgE and IgG epitopes are scattered throughout the entire molecule. Data also indicate the presence of unique IgE and IgG epitopes in Der f 11.

Allergens↗

PANAL: an integrated resource for Protein sequence ANALysis.

SUMMARY: We present PANAL, an integrated resource for protein sequence analysis. The tool allows the user to simultaneously search a protein sequence for motifs from several databases, and to view the result as an intuitive graphical summary.

Computational Biology↗

The chemistry of protein sequence analysis.

N-terminal sequence analysis by Edman chemistry continues to play an important role in the structural analysis of proteins and peptides. Improvements in the sensitivity of the method have been achieved mainly at the level of increasing the sensitivity of the on-line analysis of PTH amino acids by RP-HPLC (reverse phase high performance chromatography). Using microbore columns (0.8-1.0 mm), it is possible to run standards at the 0.5-1.0 pmol level and to sequence samples in the 1-5 pmol range. Due to constraints in current chromatographic methods, it is unlikely that further improvements in sensitivity will be achieved by this approach alone. Although alternative Edman reagents, including fluorescent chemistries, have promised to increase the sensitivity of sequencing into the low femtomole range, none of the methods have progressed into routine usage. These reagents and chemistries are critically evaluated in this review, and the problems which have prevented their further development discussed. Instrumental constraints are also considered. It is concluded that the development of more sensitive methods requires further research into both the chemistry and the instrumentation, and that alternative separation and detection methods may also play a role.

Amino Acid Sequence↗

Applicability of the alkylation chemistry for chemical C-terminal protein sequence analysis.

We have evaluated the alkylation chemistry first described some years ago by Boyd et al. which is now routinely applied in a commercial instrument. We have found that the low repetitive yields observed during these analyses are due to the formation of a major side product when alkylating the C-terminal thiohydantoin. This side product, resistant to the chemical cleavage methods currently used, was characterized by NMR experiments in solution. We further demonstrate that chemical C-terminal sequence analysis of proteins using the alkylation chemistry is feasable with low picomole amounts of material. High-sensitivity C-terminal sequencing allows a complementary approach by which a protein is first subjected to N-terminal Edman degradation followed by C-terminal sequence analysis, limiting the amount of material necessary for the characterization of the protein under study. This limited C-terminal sequence information is often sufficient to solve problems that cannot be solved by applying any other analytical method commonly used today.

Alkylation↗

A novel manual method for protein-sequence analysis.

A novel manual method for protein-sequence analysis is described. Three peptides, the hexapeptide (Leu-TRP-Met-Arg-Phe-Ala), insulin A chain and glucagon were used to test this technique. Peptides (1 or 2 nmol) were hydrolysed with acid and their qualitative amino acid compositions were confirmed by reacting with 4-NN-dimethylaminoazobenzene-4'-sulphonylchloride and 4-NN-dimethylaminoazobenzene 4'-isothiocyanate. Sequence determination of 20-200 nmol of peptide was then performed by the combined use of phenyl isothiocyanate and 4-NN-dimethylaminoazobenzene 4'-isothiocyanate, a new procedure that is analogous to the dansyl-Edman method with the replacement of dansyl chloride by 4-NN-dimethylaminoazobenzene 4'-isothiocyanate as the N-terminal residue determination reagent. On t.l.c. this new N-terminal reagent gave brightly coloured 4-NN-dimethylaminoazobenzene-4-thiohydantoins of amino acids and showed the following advantages: (1) the detection sensitivity is in the pmol range; (2) u.v. observation is not required; (3) there is no destruction of acid-labile amino acids; (4) two-dimensional t.l.c. separation is adequate to identify 24 amino acids, except leucine and isoleucine (this pair of amino acids can be resolved by using 4-NN-dimethylaminoazobenzene-4'-sulphonyl chloride); (5) the determination of a new N-terminal residue (from coupling to t.l.c. identification) takes only 3 h; (6) the colour difference beteen isothiocyanate, thiocarbamoyl and thiohydantoin derivatives facilitates the identifications.

Amino Acid Sequence↗

[Hidden Markov model used in protein sequence analysis].

Hidden Markov model (HMM) used in the research of protein is a new field of bioinformatics. Nowadays large amount of data about protein sequences and structures have been obtained. Traditional methods of protein analysis are no longer used. Biologists have updated their research methods with computer technology and statistics, which can deal with large amount of data. HMM can be used to distinguish protein sequence with the same characteristics. A family of protein from SCOP database was selected, through which a HMM model representing the family was obtained, and then the model was utilized to analyze protein sequences. Results indicate that HMM can express particular family of protein, and recognize the given protein sequences of the family from many sequences.

Algorithms↗

Identification of phosphotyrosine residues during protein sequence analysis.

Synthetic tyrosine-phosphorylated peptides were subjected to protein sequence analysis using a gas-phase sequencer and on-line phenylthiohydantoin (PTH) amino acid analysis. Our data show that phosphotyrosine is stable to the gas-phase sequencing chemistry and can be detected as its PTH-derivative during routine sequence analysis without the need of prior tyrosine radiolabeling.

Amino Acid Sequence↗

ANTHEPROT: a package for protein sequence analysis using a microcomputer.

A simple microcomputer package is described to make the theoretical analysis of protein sequences. Several methods designed to compare two sequences, to model proteolytic reactions and to predict the secondary structure, the hydrophobic/hydrophilic regions and the potential antigenic sites of proteins have been included in an Apple II microcomputer software. The package comprises 21 programs as well as the secondary structure database of Kabsch and Sander (1983).

Algorithms↗

MPSA: integrated system for multiple protein sequence analysis with client/server capabilities.

UNLABELLED: MPSA is a stand-alone software intended to protein sequence analysis with a high integration level and Web clients/server capabilities. It provides many methods and tools, which are integrated into an interactive graphical user interface. It is available for most Unix/Linux and non-Unix systems. MPSA is able to connect to a Web server (e.g. http://pbil.ibcp.fr/NPSA) in order to perform large-scale sequence comparison on up-to-date databanks. AVAILABILITY: Free to academic http://www.ibcp.fr/mpsa/ CONTACT: c.blanchet@ibcp.fr

Computing Methodologies↗

Different evolutionary constraints on chemotaxis proteins CheW and CheY revealed by heterologous expression studies and protein sequence analysis.

CheW and CheY are single-domain proteins from a signal transduction pathway that transmits information from transmembrane receptors to flagellar motors in bacterial chemotaxis. In various bacterial and archaeal species, the cheW and cheY genes are usually encoded within homologous chemotaxis operons. We examined evolutionary changes in these two proteins from distantly related proteobacterial species, Escherichia coli and Azospirillum brasilense. We analyzed the functions of divergent CheW and CheY proteins from A. brasilense by heterologous expression in E. coli wild-type and mutant strains. Both proteins were able to specifically inhibit chemotaxis of a wild-type E. coli strain; however, only CheW from A. brasilense was able to restore signal transduction in a corresponding mutant of E. coli. Detailed protein sequence analysis of CheW and CheY homologs from the two species revealed substantial differences in the types of amino acid substitutions in the two proteins. Multiple, but conservative, substitutions were found in CheW homologs. No severe mismatches were found between the CheW homologs in positions that are known to be structurally or functionally important. Substitutions in CheY homologs were found to be less conservative and occurred in positions that are critical for interactions with other components of the signal transduction pathway. Our findings suggest that proteins from the same cellular pathway encoded by genes from the same operon have different evolutionary constraints on their structures that reflect differences in their functions.

Azospirillum brasilense↗

Protein sequence analysis in silico: application of structure-based bioinformatics to genomic initiatives.

The current pace of high-throughput genome sequencing programs coupled with high-throughput functional genomic screens has provided researchers with a bewildering array of sequence and biological data to contend with. Identification of proteins of interest from a particular biological study requires the application of bioinformatic tools to process and prioritise the data. From a protein function standpoint, transfer of annotation from known proteins to a novel target is currently the only practical way to convert vast quantities of raw sequence data into meaningful information. New bioinformatics tools now provide more sophisticated methods to transfer functional annotation, integrating sequence, family profile and structural search methodology. The importance of these approaches to medical research is increasing as we move to annotate the proteome through functional and structural genomic efforts.

Animals↗