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Jörg Schultz

Publications and source records attributed to Jörg Schultz.

At least 19 recordsLinked to original sources
PubMed2006

4SALE--a tool for synchronous RNA sequence and secondary structure alignment and editing.

BACKGROUND: In sequence analysis the multiple alignment builds the fundament of all proceeding analyses. Errors in an alignment could strongly influence all succeeding analyses and therefore could lead to wrong predictions. Hand-crafted and hand-improved alignments are necessary and meanwhile good common practice. For RNA sequences often the primary sequence as well as a secondary structure consensus is well known, e.g., the cloverleaf structure of the t-RNA. Recently, some alignment editors are proposed that are able to include and model both kinds of information. However, with the advent of a large amount of reliable RNA sequences together with their solved secondary structures (available from e.g. the ITS2 Database), we are faced with the problem to handle sequences and their associated secondary structures synchronously. RESULTS: 4SALE fills this gap. The application allows a fast sequence and synchronous secondary structure alignment for large data sets and for the first time synchronous manual editing of aligned sequences and their secondary structures. This study describes an algorithm for the synchronous alignment of sequences and their associated secondary structures as well as the main features of 4SALE used for further analyses and editing. 4SALE builds an optimal and unique starting point for every RNA sequence and structure analysis. CONCLUSION: 4SALE, which provides an user-friendly and intuitive interface, is a comprehensive toolbox for RNA analysis based on sequence and secondary structure information. The program connects sequence and structure databases like the ITS2 Database to phylogeny programs as for example the CBCAnalyzer. 4SALE is written in JAVA and therefore platform independent. The software is freely available and distributed from the website at http://4sale.bioapps.biozentrum.uni-wuerzburg.de.

Algorithms↗
PubMed2006

Modelling interaction sites in protein domains with interaction profile hidden Markov models.

MOTIVATION: Due to the growing number of completely sequenced genomes, functional annotation of proteins becomes a more and more important issue. Here, we describe a method for the prediction of sites within protein domains, which are part of protein-ligand interactions. As recently demonstrated, these sites are not trivial to detect because of a varying degree of conservation of their location and type within a domain family. RESULTS: The developed method for the prediction of protein-ligand interaction sites is based on a newly defined interaction profile hidden Markov model (ipHMM) topology that takes structural and sequence data into account. It is based on a homology search via a posterior decoding algorithm that yields probabilities for interacting sequence positions and inherits the efficiency and the power of the profile hidden Markov model (pHMM) methodology. The algorithm enhances the quality of interaction site predictions and is a suitable tool for large scale studies, which was already demonstrated for pHMMs. AVAILABILITY: The MATLAB-files are available on request from the first author.

Algorithms↗
PubMed2006

The internal transcribed spacer 2 database--a web server for (not only) low level phylogenetic analyses.

The internal transcribed spacer 2 (ITS2) is a phylogenetic marker which has been of broad use in generic and infrageneric level classifications, as its sequence evolves comparably fast. Only recently, it became clear, that the ITS2 might be useful even for higher level systematic analyses. As the secondary structure is highly conserved within all eukaryotes it serves as a valuable template for the construction of highly reliable sequence-structure alignments, which build a fundament for subsequent analyses. Thus, any phylogenetic study using ITS2 has to consider both sequence and structure. We have integrated a homology based RNA structure prediction algorithm into a web server, which allows the detection and secondary structure prediction for ITS2 in any given sequence. Furthermore, the resource contains more than 25,000 pre-calculated secondary structures for the currently known ITS2 sequences. These can be taxonomically searched and browsed. Thus, our resource could become a starting point for ITS2-based phylogenetic analyses and is therefore complementary to databases of other phylogenetic markers, which focus on higher level analyses. The current version of the ITS2 database can be accessed via http://its2.bioapps.biozentrum.uni-wuerzburg.de.

DNA, Ribosomal Spacer↗
PubMed2006

SMART 5: domains in the context of genomes and networks.

The Simple Modular Architecture Research Tool (SMART) is an online resource (http://smart.embl.de/) used for protein domain identification and the analysis of protein domain architectures. Many new features were implemented to make SMART more accessible to scientists from different fields. The new 'Genomic' mode in SMART makes it easy to analyze domain architectures in completely sequenced genomes. Domain annotation has been updated with a detailed taxonomic breakdown and a prediction of the catalytic activity for 50 SMART domains is now available, based on the presence of essential amino acids. Furthermore, intrinsically disordered protein regions can be identified and displayed. The network context is now displayed in the results page for more than 350 000 proteins, enabling easy analyses of domain interactions.

Catalysis↗
PubMed2006

Analysis of the human protein interactome and comparison with yeast, worm and fly interaction datasets.

We present the first analysis of the human proteome with regard to interactions between proteins. We also compare the human interactome with the available interaction datasets from yeast (Saccharomyces cerevisiae), worm (Caenorhabditis elegans) and fly (Drosophila melanogaster). Of >70,000 binary interactions, only 42 were common to human, worm and fly, and only 16 were common to all four datasets. An additional 36 interactions were common to fly and worm but were not observed in humans, although a coimmunoprecipitation assay showed that 9 of the interactions do occur in humans. A re-examination of the connectivity of essential genes in yeast and humans indicated that the available data do not support the presumption that the number of interaction partners can accurately predict whether a gene is essential. Finally, we found that proteins encoded by genes mutated in inherited genetic disorders are likely to interact with proteins known to cause similar disorders, suggesting the existence of disease subnetworks. The human interaction map constructed from our analysis should facilitate an integrative systems biology approach to elucidating the cellular networks that contribute to health and disease states.

Animals↗
PubMed2005

Variation in structural location and amino acid conservation of functional sites in protein domain families.

BACKGROUND: The functional sites of a protein present important information for determining its cellular function and are fundamental in drug design. Accordingly, accurate methods for the prediction of functional sites are of immense value. Most available methods are based on a set of homologous sequences and structural or evolutionary information, and assume that functional sites are more conserved than the average. In the analysis presented here, we have investigated the conservation of location and type of amino acids at functional sites, and compared the behaviour of functional sites between different protein domains. RESULTS: Functional sites were extracted from experimentally determined structural complexes from the Protein Data Bank harbouring a conserved protein domain from the SMART database. In general, functional (i.e. interacting) sites whose location is more highly conserved are also more conserved in their type of amino acid. However, even highly conserved functional sites can present a wide spectrum of amino acids. The degree of conservation strongly depends on the function of the protein domain and ranges from highly conserved in location and amino acid to very variable. Differentiation by binding partner shows that ion binding sites tend to be more conserved than functional sites binding peptides or nucleotides. CONCLUSION: The results gained by this analysis will help improve the accuracy of functional site prediction and facilitate the characterization of unknown protein sequences.

Amino Acid Sequence↗
PubMed2005

Structural genomics of human proteins--target selection and generation of a public catalogue of expression clones.

BACKGROUND: The availability of suitable recombinant protein is still a major bottleneck in protein structure analysis. The Protein Structure Factory, part of the international structural genomics initiative, targets human proteins for structure determination. It has implemented high throughput procedures for all steps from cloning to structure calculation. This article describes the selection of human target proteins for structure analysis, our high throughput cloning strategy, and the expression of human proteins in Escherichia coli host cells. RESULTS AND CONCLUSION: Protein expression and sequence data of 1414 E. coli expression clones representing 537 different proteins are presented. 139 human proteins (18%) could be expressed and purified in soluble form and with the expected size. All E. coli expression clones are publicly available to facilitate further functional characterisation of this set of human proteins.

Journal Article↗
PubMed2005

Homology modeling revealed more than 20,000 rRNA internal transcribed spacer 2 (ITS2) secondary structures.

Structural genomics meets phylogenetics and vice versa: Knowing rRNA secondary structures is a prerequisite for constructing rRNA alignments for inferring phylogenies, and inferring phylogenies is a precondition to understand the evolution of such rRNA secondary structures. Here, both scientific worlds go together. The rRNA internal transcribed spacer 2 (ITS2) region is a widely used phylogenetic marker. Because of its high variability at the sequence level, correct alignments have to take into account structural information. In this study, we examine the extent of the conservation in structure. We present (1) the homology modeled secondary structure of more than 20,000 ITS2 covering about 14,000 species; (2) a computational approach for homology modeling of rRNA structures, which additionally can be applied to other RNA families; and (3) a database providing about 25,000 ITS2 sequences with their associated secondary structures, a refined ITS2 specific general time reversible (GTR) substitution model, and a scoring matrix, available at http://its2.bioapps.biozentrum.uni-wuerzburg.de.

Animals↗
PubMed2005

A common core of secondary structure of the internal transcribed spacer 2 (ITS2) throughout the Eukaryota.

The ongoing characterization of novel species creates the need for a molecular marker which can be used for species- and, simultaneously, for mega-systematics. Recently, the use of the internal transcribed spacer 2 (ITS2) sequence was suggested, as it shows a high divergence in sequence with an assumed conservation in structure. This hypothesis was mainly based on small-scale analyses, comparing a limited number of sequences. Here, we report a large-scale analysis of more than 54,000 currently known ITS2 sequences with the goal to evaluate the hypothesis of a conserved structural core and to assess its use for automated large-scale phylogenetics. Structure prediction revealed that the previously described core structure can be found for more than 5000 sequences in a wide variety of taxa within the eukaryotes, indicating that the core secondary structure is indeed conserved. This conserved structure allowed an automated alignment of extremely divergent sequences as exemplified for the ITS2 sequences of a ctenophorean eumetazoon and a volvocalean green alga. All classified sequences, together with their structures can be accessed at http://www.biozentrum.uni-wuerzburg.de/bioinformatik/projects/ITS2.html. Furthermore, we found that, although sample sequences are known for most major taxa, there exists a profound divergence in coverage, which might become a hindrance for general usage. In summary, our analysis strengthens the potential of ITS2 as a general phylogenetic marker and provides a data source for further ITS2-based analyses.

Animals↗
PubMed2004

Inactive enzyme-homologues find new function in regulatory processes.

Although the catalytic center of an enzyme is usually highly conserved, there have been a few reports of proteins with substitutions at essential catalytic positions, which convert the enzyme into a catalytically inactive form. Here, we report a large-scale analysis of substitutions at enzymes' catalytic sites in order to gain insight into the function and evolution of inactive enzyme-homologues. Our analysis revealed that inactive enzyme-homologues are not an exception only found in single enzyme families, but that they are represented in a large variety of enzyme families and conserved among metazoan species. Even though they have lost their catalytic activity, they have adopted new functions and are now mainly involved in regulatory processes, as shown by several case studies. This modification of existing modules is an efficient mechanism to evolve new functions. The invention of inactive enzyme-homologues in metazoa has thereby led to an enhancement of complexity of regulatory networks.

Enzymes↗
PubMed2004

Evolution of the multifunctional protein tyrosine phosphatase family.

The protein tyrosine phosphatase (PTP) family plays a central role in signal transduction pathways by controlling the phosphorylation state of serine, threonine, and tyrosine residues. PTPs can be divided into dual specificity phosphatases and the classical PTPs, which can comprise of one or two phosphatase domains. We studied amino acid substitutions at functional sites in the phosphatase domain and identified putative noncatalytic phosphatase domains in all subclasses of the PTP family. The presence of inactive phosphatase domains in all subclasses indicates that they were invented multiple times in evolution. Depending on the domain composition, loss of catalytic activity can result in different consequences for the function of the protein. Inactive single-domain phosphatases can still specifically bind substrate and protect it from dephosphorylation by other phosphatases. The inactive domains of tandem phosphatases can be further subdivided. The first class is more conserved, still able to bind phosphorylated tyrosine residues and might recruit multiphosphorylated substrates for the adjacent active domain. The second has accumulated several variable amino acid substitutions in the catalytic center, indicating a complete loss of tyrosine-binding capabilities. To study the impact of substitutions in the catalytic center to the evolution of the whole domain, we examined the evolutionary rates for each individual site and compared them between the classes. This analysis revealed a release of evolutionary constraint for multiple sites surrounding the catalytic center only in the second class, emphasizing its difference in function compared with the first class. Furthermore, we found a region of higher conservation common to both domain classes, suggesting a new regulatory center. We discuss the influence of evolutionary forces on the development of the phosphatase domain, which has led to additional functions, such as the specific protection of phosphorylated tyrosine residues, substrate recruitment, and regulation of the catalytic activity of adjacent domains.

Amino Acid Substitution↗
PubMed2004

HMM Logos for visualization of protein families.

BACKGROUND: Profile Hidden Markov Models (pHMMs) are a widely used tool for protein family research. Up to now, however, there exists no method to visualize all of their central aspects graphically in an intuitively understandable way. RESULTS: We present a visualization method that incorporates both emission and transition probabilities of the pHMM, thus extending sequence logos introduced by Schneider and Stephens. For each emitting state of the pHMM, we display a stack of letters. The stack height is determined by the deviation of the position's letter emission frequencies from the background frequencies. The stack width visualizes both the probability of reaching the state (the hitting probability) and the expected number of letters the state emits during a pass through the model (the state's expected contribution).A web interface offering online creation of HMM Logos and the corresponding source code can be found at the Logos web server of the Max Planck Institute for Molecular Genetics http://logos.molgen.mpg.de. CONCLUSIONS: We demonstrate that HMM Logos can be a useful tool for the biologist: We use them to highlight differences between two homologous subfamilies of GTPases, Rab and Ras, and we show that they are able to indicate structural elements of Ras.

Amino Acid Motifs↗
PubMed2004

SMART 4.0: towards genomic data integration.

SMART (Simple Modular Architecture Research Tool) is a web tool (http://smart.embl.de/) for the identification and annotation of protein domains, and provides a platform for the comparative study of complex domain architectures in genes and proteins. The January 2004 release of SMART contains 685 protein domains. New developments in SMART are centred on the integration of data from completed metazoan genomes. SMART now uses predicted proteins from complete genomes in its source sequence databases, and integrates these with predictions of orthology. New visualization tools have been developed to allow analysis of gene intron-exon structure within the context of protein domain structure, and to align these displays to provide schematic comparisons of orthologous genes, or multiple transcripts from the same gene. Other improvements include the ability to query SMART by Gene Ontology terms, improved structure database searching and batch retrieval of multiple entries.

Algorithms↗
PubMed2004

HTTM, a horizontally transferred transmembrane domain.

Sequence analysis of vitamin K-dependent gamma-carboxylases (VKGC) has revealed the presence of a novel domain, HTTM (for horizontally transferred transmembrane) in its N terminus. In contrast to most known domains, HTTM contains four transmembrane regions. Its occurrence in eukaryotes, bacteria and archaea is probably caused by horizontal gene transfer rather than by early evolution. The conservation of VKGC catalytic sites also indicates an enzymatic function for the other family members.

Amino Acid Sequence↗
PubMed2002

Prediction of structure and functional residues for O-GlcNAcase, a divergent homologue of acetyltransferases.

N-Acetyl-beta-D-glucosaminidase (O-GlcNAcase) is a key enzyme in the posttranslational modification of intracellular proteins by O-linked N-acetylglucosamine (O-GlcNAc). Here, we show that this protein contains two catalytic domains, one homologous to bacterial hyaluronidases and one belonging to the GCN5-related family of acetyltransferases (GNATs). Using sequence and structural information, we predict that the GNAT homologous region contains the O-GlcNAcase activity. Thus, O-GlcNAcase is the first member of the GNAT family not involved in transfer of acetyl groups, adding a new mode of evolution to this large protein family. Comparison with solved structures of different GNATs led to a reliable structure prediction and mapping of residues involved in binding of the GlcNAc-modified proteins and catalysis.

Amino Acid Sequence↗
PubMed2002

Genome expression analysis of Anopheles gambiae: responses to injury, bacterial challenge, and malaria infection.

The complex gene expression responses of Anopheles gambiae to microbial and malaria challenges, injury, and oxidative stress (in the mosquito and/or a cultured cell line) were surveyed by using cDNA microarrays constructed from an EST-clone collection. The expression profiles were broadly subdivided into induced and down-regulated gene clusters. Gram+ and Gram- bacteria and microbial elicitors up-regulated a diverse set of genes, many belonging to the immunity class, and the response to malaria partially overlapped with this response. Oxidative stress activated a distinctive set of genes, mainly implicated in oxidoreductive processes. Injury up- and down-regulated gene clusters also were distinctive, prominently implicating glycolysis-related genes and citric acid cycle/oxidative phosphorylation/redox-mitochondrial functions, respectively. Cross-comparison of in vivo and in vitro responses indicated the existence of tightly coregulated gene groups that may correspond to gene pathways.

Animals↗
PubMed2002

Functional organization of the yeast proteome by systematic analysis of protein complexes.

Most cellular processes are carried out by multiprotein complexes. The identification and analysis of their components provides insight into how the ensemble of expressed proteins (proteome) is organized into functional units. We used tandem-affinity purification (TAP) and mass spectrometry in a large-scale approach to characterize multiprotein complexes in Saccharomyces cerevisiae. We processed 1,739 genes, including 1,143 human orthologues of relevance to human biology, and purified 589 protein assemblies. Bioinformatic analysis of these assemblies defined 232 distinct multiprotein complexes and proposed new cellular roles for 344 proteins, including 231 proteins with no previous functional annotation. Comparison of yeast and human complexes showed that conservation across species extends from single proteins to their molecular environment. Our analysis provides an outline of the eukaryotic proteome as a network of protein complexes at a level of organization beyond binary interactions. This higher-order map contains fundamental biological information and offers the context for a more reasoned and informed approach to drug discovery.

Cells, Cultured↗