Preparation of a highly purified bovine trypsin for use in protein sequence analysis.
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The revised amino acid sequence of rat submaxillary gland tonin, a serine protease, does contain the active site Asp residue. The active site of this kallikrein-related enzyme is thus made up of the same catalytic triad (Asp, Ser, and His) found in all known serine proteases. The important Asp residue has now been localized in a 16 amino acid peptide previously reported as missing in the tonin sequence. The complete amino acid sequence thus contains 235 residues corresponding to a molecular weight of 25,658, more in agreement with previously reported molecular weights. Moreover, the revised structure led (a) to the assignment of Arg, Asn, and Val residues instead of His, Asp, and Gly at positions 63, 165, and 169, respectively; (b) to the assignment of residues occupying an overlapping sequence at positions 165-171, and finally (c) to the localization of two N-glycosylation sites at positions 82 and 165. These results further document the close relationship of tonin to the ever expanding kallikrein family.
The nucleotide sequence and N-, C-terminal amino acid sequences of alpha,beta-subunit of glutaryl 7-ACA acylase C130 from Pseudomonas sp. 130 were determined. The alignment of the acylase C130 with the other acylases shows that it has high homology with the acylases from Pseudomonas sp. GK16 and C427, but low homology with the others. There is large difference in the N-terminal of alpha-subunit, while the N-terminal of beta-subunit has significant conservation.
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The amino acid sequences of tryptic peptides from the performic acid-oxidized trypsin inhibitor were determined. The degradation was performed with a new reagent, 3-isothiocyanato-4-methoxy-4'-nitrostilbene, and compared with the dansyl-Edman technique. The amino acid sequence of the trypsin inhibitor from bovine splenic capsule was found to be the same as that of the basic trypsin inhibitor from bovine pancreas, established by Kress & Laskowski (J. Biol. Chem. 1967, 242, 4925-4928).
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Analysis of sequence complexities of proteins is an important step in the characterization and classification of new genomes. A new measure has been proposed to compute sequence complexity in protein sequences based on linguistic complexity. The algorithm requires a single parameter, is computationally simple and provides a framework for comparative genomic analysis. Protein sequences were classified into groups of high or low complexity based on a quantitative measure termed F(c), which is proportional to the fraction of low complexity sequence present in the protein. The algorithm was tested on sequences of 196 non-homologous proteins whose crystal structures are available at </=2.0 A resolution. Protein sequences of high complexity had 'globular' structures (95% agreement), whereas those of low complexity had non-globular structures (80% agreement). Application of this measure to proteins of unknown structure/function from different genomes revealed that the sequences of high complexity constitute the majority in all genomes (about 90% in Archaea, about 93% in Eubacteria, 89% in Saccharomyces cerevisiae and 90% in Caenorhabditis elegans). Aeropyrum pernix among Archaeae and Deinococcus radiodurans among Eubacteria have the lowest fraction of high complexity proteins (75% and 80% respectively). Further, it was observed that a few bacterial pathogens (Mycobacterium tuberculosis, Pseudomonas aeruginosa) have high fraction of low complexity proteins. The program ScanCom is available from the authors as a PERL script (UNIX system).
The protein sequence similarity search has become a major tool for biologists. Various efficient and rapid programs and comparison matrices have been designed and refined in order to perform the scanning task (BLAST, FASTA, Automat, etc.). However, the final step of the search, the analysis of the results, is still tedious and time consuming. In order to optimize true-positive hit screening, we have developed a program which makes a multiple alignment from the BLAST search output. Conserved sequence segments are pointed out. It makes the recognition of already known as well as new sequence patterns easier. It allows at a glance a rapid identification of significant similarities, protein family signature and new sequence motifs. This alignment is written in a compatible format for the GCG programs LineUp and ProfileMake.
UNLABELLED: Coevolution Analysis using Protein Sequences (CAPS) is a PERL based software that identifies co-evolution between amino acid sites. Blosum-corrected amino acid distances are used to identify amino acid co-variation. The phylogenetic sequence relationships are used to remove the phylogenetic and stochastic dependencies between sites. The 3D protein structure is used to identify the nature of the dependencies between co-evolving amino acid sites. Friendly interpretable output files are generated. AVAILABILITY: CAPS version 1 is available at http://bioinf.gen.tcd.ie/~faresm/software/caps/. Distribution versions for Linux/Unix, Mac OS X and Windows operating systems are available, including manual and example files.
Protein sequence analysis is an important tool to decode the logic of life. One of the most important similarity measures in this area is the edit distance between amino acids of two sequences. We believe this criterion should be reconsidered because protein features are probably associated more with small peptide fragments than with individual amino acids. In this paper, we design small patterns that are associated with highly conversed regions among a set of protein sequences. These patterns are used analogous to the index terms in information retrieval. Therefore, we do not consider gaps within patterns. This new similarity measure has been applied to phylogenetic tree construction, protein clustering and protein secondary structure prediction and has produced promising results.
To investigate the occurrence of glycosylphosphatidylinositol (GPI) lipid anchor modification in various taxonomic ranges, potential substrate proteins have been searched for in completely sequenced genomes. We applied the big-pi predictor for the recognition of propeptide cleavage and anchor attachment sites with a new, generalized analytical form of the extreme-value distribution for evaluating false-positive prediction rates. (i) We find that GPI modification is present among lower and higher Eukaryota (approximately 0.5% of all proteins) but it seems absent in all eubacterial and three archaeobacterial species studied. Four other archaean genomes appear to encode such a fraction of substrate proteins (in the range of eukaryots) that they cannot be explained as false-positive predictions. This result supports the possible existence of GPI anchor modification in an archaean subgroup. (ii) The frequency of GPI-modified proteins on various chromosomes of a given eukaryotic species is different. (iii) Lists of potentially GPI-modified proteins in complete genomes with their predicted cleavage sites are available at http://mendel.imp.univie.ac.at/gpi/gpi_genomes.html. (iv) Orthologues of known transamidase subunits have been found only for EUKARYA: Inconsistencies in domain structure among homologues some of which may indicate sequencing errors are described. We present a refined model of the transamidase complex.
A new protein sequence analysis package, ADSP, is described, of which the SOMAP Screen-Oriented Multiple Alignment Procedure forms an integral part. ADSP (Algorithms and Data Structures for Protein sequence analysis) incorporates facilities to generate potent pattern-recognition discriminators and offers four algorithms with which to scan any NBRF format sequence database: the package has been designed, in particular, to interface with the OWL composite sequence database, one of the largest, distributed non-redundant sources of sequence data of its kind. The system incorporates a powerful method for compound feature analysis, which provides the basis for characterizing and predicting the occurrence of complete protein superfamilies and for pinpointing the emergence of related sub-families. Used iteratively, the approach allows diagnostic performance to be rigorously refined and its efficacy to be assessed both qualitatively and quantitatively, and results in the generation of refined structural or functional features suitable for entry into a database: this compilation of characteristic signatures is distinct from, but complementary to, widely used compendia of pattern templates such as PROSITE.
SUMMARY: Improving and ascertaining the quality of a multiple sequence alignment is a very challenging step in protein sequence analysis. This is particularly the case when dealing with sequences in the 'twilight zone', i.e. sharing < 30% identity. Here we describe INTERALIGN, a dedicated user-friendly alignment editor including a view of secondary structures and a synchronized display of carbon alpha traces of corresponding protein structures. Profile alignment, using CLUSTALW, is implemented to improve the alignment of a sequence of unknown structure with the visually optimized structural alignment as compared with a standard multiple sequence alignment. Tree-based ordering further helps in identifying the structure closest to a given sequence.
Fractionation of opossum (Didelphis virginiana) serum with (NH4)2SO4, followed by chromatography on DEAE-Sepharose, phenyl-Sepharose, and Mono Q HR 5/5, has resulted in the isolation in homogeneous condition of a metalloproteinase inhibitor designated oprin (opossum proteinase inhibitor). Oprin is a single-chain glycoprotein (26% carbohydrate) with an estimated Mr = 52,000, pI = 3.5, and E(1%/1 cm) = 11. Oprin inhibited snake venom metalloproteinases, but showed no activity on venom serine proteinases or on bacterial metalloproteinases. Incubation of Crotalus atrox alpha-proteinase (EC 3.4.24.1) with oprin, and analysis of the reaction products by chromatography on Mono Q HR 5/5 and by electrophoresis under nondenaturing conditions, indicated formation of an inactive enzyme/inhibitor complex. The complex dissociated during SDS/polyacrylamide gel electrophoresis. An opossum liver cDNA library was immunoscreened, and clones containing cDNA encoding for part of the open reading frame for oprin were isolated. The cDNA inserts contained nucleotide sequences corresponding to two internal amino acid sequences of oprin which had been separately determined by protein sequence analysis. Protein database screening using a 211 amino acid sequence deduced from one of the cDNA inserts showed no significant homology to known proteinase inhibitors. There was, however, a 36% identity with human alpha 1B-glycoprotein, a plasma protein of unknown function related to the immunoglobulin supergene family. In addition, the amino-terminal sequence of oprin showed 46% identity with human alpha 1B-glycoprotein in a 26 amino acid residue overlap.(ABSTRACT TRUNCATED AT 250 WORDS)
Bacillus anthracis appears to be the most molecularly homogeneous bacterial species known. Extensive surveys of worldwide isolates have revealed vanishingly small amounts of genomic variation. The biological importance of the resting-stage spore may lead to very low evolutionary rates and, perhaps, to the lack of potentially adaptive genetic variation. In contrast to the overall homogeneity, some gene coding regions contain hypervariability that is translated into protein variation. During marker analysis of diverse strains, we have discovered a novel ca. 750-nucleotide open reading frame (ORF) that contains in-frame, variable-number tandem-repeat sequences. Four distinct variable regions exist within vrrB, giving rise to 11 distinct alleles in eight different length categories among B. anthracis strains. This ORF putatively codes for a 241- to 265-amino-acid protein, rich in glutamine (13.2%), glycine (23.4%), and histidine (23.0%). The variable-region amino acids of the vrrB ORF are strongly hydrophilic. Coupled with putative transmembrane domains flanking the variable regions, this suggests a membrane-anchored cytosolic or extracellular location for the putative protein. Sequence analysis of the complete ORFs from three Bacillus cereus strains shows maintenance of the ORF across species boundaries, including strong conservation of the amino acid sequence and the capacity to vary among strains. The presence of 11 different alleles of the vrrB locus is in stark contrast to the near homogeneity of B. anthracis. Evolution of hypervariable genes can negate the lack of genetic variability in species such as B. anthracis and provide select rapid evolution in other more variable species.
With the complete human genomic sequence being unraveled, the focus will shift to gene identification and to the functional analysis of gene products. The generation of a set of cDNAs, both sequences and physical clones, which contains the complete and noninterrupted protein coding regions of all human genes will provide the indispensable tools for the systematic and comprehensive analysis of protein function to eventually understand the molecular basis of man. Here we report the sequencing and analysis of 500 novel human cDNAs containing the complete protein coding frame. Assignment to functional categories was possible for 52% (259) of the encoded proteins, the remaining fraction having no similarities with known proteins. By aligning the cDNA sequences with the sequences of the finished chromosomes 21 and 22 we identified a number of genes that either had been completely missed in the analysis of the genomic sequences or had been wrongly predicted. Three of these genes appear to be present in several copies. We conclude that full-length cDNA sequencing continues to be crucial also for the accurate identification of genes. The set of 500 novel cDNAs, and another 1000 full-coding cDNAs of known transcripts we have identified, adds up to cDNA representations covering 2%--5 % of all human genes. We thus substantially contribute to the generation of a gene catalog, consisting of both full-coding cDNA sequences and clones, which should be made freely available and will become an invaluable tool for detailed functional studies.
Bacterial porin proteins allow for the selective movement of hydrophilic solutes through the outer membrane of Gram-negative bacteria. The purpose of this study was to clarify the evolutionary relationships among the Type 1 general bacterial porins (GBPs), a porin protein subfamily that includes outer membrane proteins ompC and ompF among others. Specifically, we investigated the potential utility of phylogenetic analysis for refining poorly annotated or mis-annotated protein sequences in databases, and for characterizing new functionally distinct groups of porin proteins. Preliminary phylogenetic analysis of sequences obtained from GenBank indicated that many of these sequences were incompletely or even incorrectly annotated. Using a well-curated set of porins classified via comparative genomics, we applied recently developed bayesian phylogenetic methods for protein sequence analysis to determine the relationships among the Type 1 GBPs. Our analysis found that the major GBP classes (ompC, phoE, nmpC and ompN) formed strongly supported monophyletic groups, with the exception of ompF, which split into two distinct clades. The relationships of the GBP groups to one another had less statistical support, except for the relationships of ompC and ompN sequences, which were strongly supported as sister groups. A phylogenetic analysis comparing the relationships of the GenBank GBP sequences to the correctly annotated set of GBPs identified a large number of previously unclassified and mis-annotated GBPs. Given these promising results, we developed a tree-parsing algorithm for automated phylogenetic annotation and tested it with GenBank sequences. Our algorithm was able to automatically classify 30 unidentified and 15 mis-annotated GBPs out of 78 sequences. Altogether, our results support the potential for phylogenomics to increase the accuracy of sequence annotations.