Markus Wiederstein

ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins

A major problem in structural biology is the recognition of errors in experimental and theoretical models of protein structures. The ProSA program (Protein Structure Analysis) is an established tool which has a large user base and is frequently employed in the refinement and validation of experimental protein structures and in structure prediction and modeling. The analysis of protein structures is generally a difficult and cumbersome exercise. The new service presented here is a straightforward and easy to use extension of the classic ProSA program which exploits the advantages of interactive web-based applications for the display of scores and energy plots that highlight potential problems spotted in protein structures. In particular, the quality scores of a protein are displayed in the context of all known protein structures and problematic parts of a structure are shown and highlighted in a 3D molecule viewer. The service specifically addresses the needs encountered in the validation of protein structures obtained from X-ray analysis, NMR spectroscopy and theoretical calculations. ProSA-web is accessible at https://prosa.services.came.sbg.ac.at

A note on difficult structure alignment problems

UNLABELLED Progress in structural biology depends on several key technologies. In particular tools for alignment and superposition of protein structures are indispensable. Here we describe the use of the TopMatch web service, an effective computational tool for protein structure alignment, for the visualization of structural similarities, and for highlighting relationships found in protein classifications. We provide several instructive examples. AVAILABILITY TopMatch is available as a public web service at http://services.came.sbg.ac.at.

Assessment of the CASP4 fold recognition category

We present the assessment of the CASP4 fold recognition category. The tasks we had to execute include the splitting of multidomain targets into single domains, the classification of target domains in terms of prediction categories, the numerical evaluation of predictions, the mapping of numerical scores to quality indices, the ranking of predictors, the selection of top‐performing groups, and the analysis and critical discussion of the state of the art in this field. The 125 fold recognition groups were assessed by a total score that summarizes their performance over all targets and a quality score reflecting the average quality of the submitted models. Most of the top‐performing groups achieved respectable results on both scores simultaneously. Several groups submitted models that were much closer to the respective target structures than any of the known folds in the Protein Data Bank. The CASP4 assessment included the automated servers of the parallel CAFASP experiment. For the total score, the highest rank achieved by a fully automated server is 12. Two thirds of the predictors have rather low scores. Proteins 2001;Suppl 5:55–67.

Sustained performance of knowledge-based potentials in fold recognition

We describe the results obtained using fold recognition techniques in our third participation in the CASP experiment. The approach relies on knowledge‐based potentials for alignment production and fold identification. As indicated by the increase in alignment quality and fold identification reliability, the predictions improved from CASP1 to CASP3. In particular, we identified structural relationships in which no known evolutionary link exists. Our predictions are based on single sequences rather than multiple sequence alignments. Additionally, we voluntarily submitted only a single model for each target because, in our view, submission of a single model is the most stringent test. We describe the methods used, the strategy adopted in the predictions, and the prediction results and discuss future work. Proteins Suppl 1999;3:112–120.

Detection of Spatial Correlations in Protein Structures and Molecular Complexes

Summary Protein structures are frequently related by spectacular and often surprising similarities. Structural correlations among protein chains are routinely detected by various structure-matching techniques, but the comparison of oligomers and molecular complexes is largely uncharted territory. Here we solve the structure-matching problem for oligomers and large molecular aggregates, including the largest molecular complexes known today. We provide several challenging examples that cannot be handled by conventional structure-matching techniques and we report on a number of remarkable correlations. The examples cover the cell-puncturing device of bacteriophage T4, the secretion system of P. aeruginosa, members of the dehydrogenase family, DNA clamps, ferredoxin iron-storage cages, and virus capsids.

Structure-Based Characterization of Multiprotein Complexes

Summary Multiprotein complexes govern virtually all cellular processes. Their 3D structures provide important clues to their biological roles, especially through structural correlations among protein molecules and complexes. The detection of such correlations generally requires comprehensive searches in databases of known protein structures by means of appropriate structure-matching techniques. Here, we present a high-speed structure search engine capable of instantly matching large protein oligomers against the complete and up-to-date database of biologically functional assemblies of protein molecules. We use this tool to reveal unseen structural correlations on the level of protein quaternary structure and demonstrate its general usefulness for efficiently exploring complex structural relationships among known protein assemblies.

Comprehensive analysis of alterations in the miRNome in response to photodynamic treatment.

Photodynamic therapy (PDT) is a local tumour treatment accepted for a number of indications. PDT operates via the cellular stress response through the production of reactive oxygen species and subsequent cellular damage, resulting in cell death. Although PDT-induced signalling and cytotoxicity mechanisms have been investigated, the effect of PDT on microRNA (miRNA) expression is largely unknown. Therefore, we conducted a comprehensive microarray-based analysis of the miRNome of human epidermoid carcinoma cells (A431) following in vitro photodynamic treatment using polyvinylpyrrolidone hypericin (PVPH) as a photosensitiser and nearly homogeneous apoptosis-inducing conditions. Using microarray analysis we found eight miRNAs to be significantly differentially expressed 5h post treatment compared with the baseline levels and three miRNAs with more than 2-fold differential expression that could be detected in 1 or 2 biological replicates. The verification of these results by quantitative RT-PCR including a detailed time-course revealed an up to 15-fold transient over-expression of miR-634, miR-1246, miR-1290 and miR-487b compared with the basal level. For these miRNAs, in silico mRNA target prediction yielded numerous target transcripts involved in the regulation of cell stress, apoptosis, cell adherence and proliferation. This study provides the first comprehensive miRNome analysis after PDT treatment and may help to develop novel miRNA-based therapeutic approaches to further increase the efficiency of PDT.

COPS—a novel workbench for explorations in fold space

The COPS (Classification Of Protein Structures) web server provides access to the complete repertoire of known protein structures and protein structural domains. The COPS classification encodes pairwise structural similarities as quantified metric relationships. The resulting metrical structure is mapped to a hierarchical tree, which is largely equivalent to the structure of a file browser. Exploiting this relationship we implemented the Fold Space Navigator, a tool that makes navigation in fold space as convenient as browsing through a file system. Moreover, pairwise structural similarities among the domains can be visualized and inspected instantaneously. COPS is updated weekly and stays concurrent with the PDB repository. The server also exposes the COPS classification pipeline. Newly determined structures uploaded to the server are chopped into domains, the locations of the new domains in the classification tree are determined, and their neighborhood can be immediately explored through the Fold Space Navigator. The COPS web server is accessible at http://cops.services.came.sbg.ac.at/.

A discrete view on fold space

UNLABELLED The database of known protein structures contains an overwhelming number of structural similarities that frequently point to intriguing biological relationships. The similarities are often difficult to spot, and once detected their comprehension needs proper visualization. Here we introduce the new concept of a Fold Space Navigator, a user interface enabling the efficient navigation through fold space and the instantaneous visualization of pairwise structure similarities. AVAILABILITY The Fold Space Navigator is accessible as a public web service at http://services.came.sbg.ac.at

QSCOP---SCOP quantified by structural relationships

UNLABELLED The database SCOP (Structural Classification Of Proteins) has become a major resource in bioinformatics and protein science. A particular strength of SCOP is the flexibility of its rules enabling the preservation of the many details spotted by experts in the classification process. Here we endow classic SCOP Families with quantified structural information and comment on the structural diversity found in the SCOP hierarchy. AVAILABILITY Quantified SCOP (QSCOP) is available as a public WEB service. http://services.came.sbg.ac.at.