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Dive into the research topics where Konstantin Arnold is active.

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Bioinformatics | 2006

The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling

Konstantin Arnold; Lorenza Bordoli; Jürgen Kopp; Torsten Schwede

MOTIVATION Homology models of proteins are of great interest for planning and analysing biological experiments when no experimental three-dimensional structures are available. Building homology models requires specialized programs and up-to-date sequence and structural databases. Integrating all required tools, programs and databases into a single web-based workspace facilitates access to homology modelling from a computer with web connection without the need of downloading and installing large program packages and databases. RESULTS SWISS-MODEL workspace is a web-based integrated service dedicated to protein structure homology modelling. It assists and guides the user in building protein homology models at different levels of complexity. A personal working environment is provided for each user where several modelling projects can be carried out in parallel. Protein sequence and structure databases necessary for modelling are accessible from the workspace and are updated in regular intervals. Tools for template selection, model building and structure quality evaluation can be invoked from within the workspace. Workflow and usage of the workspace are illustrated by modelling human Cyclin A1 and human Transmembrane Protease 3. AVAILABILITY The SWISS-MODEL workspace can be accessed freely at http://swissmodel.expasy.org/workspace/


Nucleic Acids Research | 2014

SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information

Marco Biasini; Stefan Bienert; Andrew Waterhouse; Konstantin Arnold; Gabriel Studer; Tobias Schmidt; Florian Kiefer; Tiziano Gallo Cassarino; Martino Bertoni; Lorenza Bordoli; Torsten Schwede

Protein structure homology modelling has become a routine technique to generate 3D models for proteins when experimental structures are not available. Fully automated servers such as SWISS-MODEL with user-friendly web interfaces generate reliable models without the need for complex software packages or downloading large databases. Here, we describe the latest version of the SWISS-MODEL expert system for protein structure modelling. The SWISS-MODEL template library provides annotation of quaternary structure and essential ligands and co-factors to allow for building of complete structural models, including their oligomeric structure. The improved SWISS-MODEL pipeline makes extensive use of model quality estimation for selection of the most suitable templates and provides estimates of the expected accuracy of the resulting models. The accuracy of the models generated by SWISS-MODEL is continuously evaluated by the CAMEO system. The new web site allows users to interactively search for templates, cluster them by sequence similarity, structurally compare alternative templates and select the ones to be used for model building. In cases where multiple alternative template structures are available for a protein of interest, a user-guided template selection step allows building models in different functional states. SWISS-MODEL is available at http://swissmodel.expasy.org/.


Nucleic Acids Research | 2009

The SWISS-MODEL Repository and associated resources

Florian Kiefer; Konstantin Arnold; Michael Künzli; Lorenza Bordoli; Torsten Schwede

SWISS-MODEL Repository (http://swissmodel.expasy.org/repository/) is a database of 3D protein structure models generated by the SWISS-MODEL homology-modelling pipeline. The aim of the SWISS-MODEL Repository is to provide access to an up-to-date collection of annotated 3D protein models generated by automated homology modelling for all sequences in Swiss-Prot and for relevant models organisms. Regular updates ensure that target coverage is complete, that models are built using the most recent sequence and template structure databases, and that improvements in the underlying modelling pipeline are fully utilised. As of September 2008, the database contains 3.4 million entries for 2.7 million different protein sequences from the UniProt database. SWISS-MODEL Repository allows the users to assess the quality of the models in the database, search for alternative template structures, and to build models interactively via SWISS-MODEL Workspace (http://swissmodel.expasy.org/workspace/). Annotation of models with functional information and cross-linking with other databases such as the Protein Model Portal (http://www.proteinmodelportal.org) of the PSI Structural Genomics Knowledge Base facilitates the navigation between protein sequence and structure resources.


Nature Protocols | 2009

Protein structure homology modeling using SWISS-MODEL workspace

Lorenza Bordoli; Florian Kiefer; Konstantin Arnold; Pascal Benkert; James Battey; Torsten Schwede

Homology modeling aims to build three-dimensional protein structure models using experimentally determined structures of related family members as templates. SWISS-MODEL workspace is an integrated Web-based modeling expert system. For a given target protein, a library of experimental protein structures is searched to identify suitable templates. On the basis of a sequence alignment between the target protein and the template structure, a three-dimensional model for the target protein is generated. Model quality assessment tools are used to estimate the reliability of the resulting models. Homology modeling is currently the most accurate computational method to generate reliable structural models and is routinely used in many biological applications. Typically, the computational effort for a modeling project is less than 2 h. However, this does not include the time required for visualization and interpretation of the model, which may vary depending on personal experience working with protein structures.


Nucleic Acids Research | 2012

ExPASy: SIB bioinformatics resource portal

Panu Artimo; Manohar Jonnalagedda; Konstantin Arnold; Delphine Baratin; Gábor Csárdi; Edouard de Castro; Séverine Duvaud; Volker Flegel; Arnaud Fortier; Elisabeth Gasteiger; Aurélien Grosdidier; Céline Hernandez; Vassilios Ioannidis; Dmitry Kuznetsov; Robin Liechti; Sébastien Moretti; Khaled Mostaguir; Nicole Redaschi; Grégoire Rossier; Ioannis Xenarios; Heinz Stockinger

ExPASy (http://www.expasy.org) has worldwide reputation as one of the main bioinformatics resources for proteomics. It has now evolved, becoming an extensible and integrative portal accessing many scientific resources, databases and software tools in different areas of life sciences. Scientists can henceforth access seamlessly a wide range of resources in many different domains, such as proteomics, genomics, phylogeny/evolution, systems biology, population genetics, transcriptomics, etc. The individual resources (databases, web-based and downloadable software tools) are hosted in a ‘decentralized’ way by different groups of the SIB Swiss Institute of Bioinformatics and partner institutions. Specifically, a single web portal provides a common entry point to a wide range of resources developed and operated by different SIB groups and external institutions. The portal features a search function across ‘selected’ resources. Additionally, the availability and usage of resources are monitored. The portal is aimed for both expert users and people who are not familiar with a specific domain in life sciences. The new web interface provides, in particular, visual guidance for newcomers to ExPASy.


Database | 2013

The Protein Model Portal—a comprehensive resource for protein structure and model information

Juergen Haas; Steven Roth; Konstantin Arnold; Florian Kiefer; Tobias Schmidt; Lorenza Bordoli; Torsten Schwede

The Protein Model Portal (PMP) has been developed to foster effective use of 3D molecular models in biomedical research by providing convenient and comprehensive access to structural information for proteins. Both experimental structures and theoretical models for a given protein can be searched simultaneously and analyzed for structural variability. By providing a comprehensive view on structural information, PMP offers the opportunity to apply consistent assessment and validation criteria to the complete set of structural models available for proteins. PMP is an open project so that new methods developed by the community can contribute to PMP, for example, new modeling servers for creating homology models and model quality estimation servers for model validation. The accuracy of participating modeling servers is continuously evaluated by the Continuous Automated Model EvaluatiOn (CAMEO) project. The PMP offers a unique interface to visualize structural coverage of a protein combining both theoretical models and experimental structures, allowing straightforward assessment of the model quality and hence their utility. The portal is updated regularly and actively developed to include latest methods in the field of computational structural biology. Database URL: http://www.proteinmodelportal.org


Nucleic Acids Research | 2009

The protein structure initiative structural genomics knowledgebase

Helen M. Berman; John D. Westbrook; Margaret Gabanyi; Wendy Tao; Raship Shah; Andrei Kouranov; Torsten Schwede; Konstantin Arnold; Florian Kiefer; Lorenza Bordoli; Jürgen Kopp; Michael Podvinec; Paul D. Adams; Lester Carter; Wladek Minor; Rajesh Nair; Joshua La Baer

The Protein Structure Initiative Structural Genomics Knowledgebase (PSI SGKB, http://kb.psi-structuralgenomics.org) has been created to turn the products of the PSI structural genomics effort into knowledge that can be used by the biological research community to understand living systems and disease. This resource provides central access to structures in the Protein Data Bank (PDB), along with functional annotations, associated homology models, worldwide protein target tracking information, available protocols and the potential to obtain DNA materials for many of the targets. It also offers the ability to search all of the structural and methodological publications and the innovative technologies that were catalyzed by the PSIs high-throughput research efforts. In collaboration with the Nature Publishing Group, the PSI SGKB provides a research library, editorials about new research advances, news and an events calendar to present a broader view of structural biology and structural genomics. By making these resources freely available, the PSI SGKB serves as a bridge to connect the structural biology and the greater biomedical communities.


Journal of Structural and Functional Genomics | 2011

The Structural Biology Knowledgebase: a portal to protein structures, sequences, functions, and methods.

Margaret Gabanyi; Paul D. Adams; Konstantin Arnold; Lorenza Bordoli; Lester Carter; Judith Flippen-Andersen; Lida Gifford; Juergen Haas; Andrei Kouranov; William A. McLaughlin; David Micallef; Wladek Minor; Raship Shah; Torsten Schwede; Yi-Ping Tao; John D. Westbrook; Matthew D. Zimmerman; Helen M. Berman

The Protein Structure Initiative’s Structural Biology Knowledgebase (SBKB, URL: http://sbkb.org) is an open web resource designed to turn the products of the structural genomics and structural biology efforts into knowledge that can be used by the biological community to understand living systems and disease. Here we will present examples on how to use the SBKB to enable biological research. For example, a protein sequence or Protein Data Bank (PDB) structure ID search will provide a list of related protein structures in the PDB, associated biological descriptions (annotations), homology models, structural genomics protein target status, experimental protocols, and the ability to order available DNA clones from the PSI:Biology-Materials Repository. A text search will find publication and technology reports resulting from the PSI’s high-throughput research efforts. Web tools that aid in research, including a system that accepts protein structure requests from the community, will also be described. Created in collaboration with the Nature Publishing Group, the Structural Biology Knowledgebase monthly update also provides a research library, editorials about new research advances, news, and an events calendar to present a broader view of structural genomics and structural biology.


Archive | 2006

The SwissBioGrid Project : objectives, preliminary results and lessons learned

Michael Podvinec; Sergio Maffioletti; Peter Z. Kunszt; Konstantin Arnold; L. Cerutti; B. Nyffeler; R. Schlapbach; C. Turker; Heinz Stockinger; A. J. Thomas; Manuel C. Peitsch; Torsten Schwede

Modern biology has become a science of information, analysis and prediction, coalescing into computational biology - a single discipline at the crossroads of life sciences, informatics, and mathematics. New developments in information and communications technology as well as high-performance computing enable researchers to address new demanding scientific problems which seemed far out of reach only a few years ago. The computational requirements of most applications in computational biology differ significantly from the requirements of other users of highthroughput computing such as high energy physics. To address these needs, the SwissBioGrid initiative, a collaboration among several partner institutions with a broad spectrum of expertise, was started over a year ago. In this paper, we report on its current status and achievements as well as the lessons learned which are of interest to the wider e-Science and Grid communities.


Nucleic Acids Research | 2014

Fifteen years SIB Swiss Institute of Bioinformatics: life science databases, tools and support.

Heinz Stockinger; Adrian M. Altenhoff; Konstantin Arnold; Amos Marc Bairoch; Frederic B. Bastian; Sven Bergmann; Lydie Bougueleret; Philipp Bucher; Mauro Delorenzi; Lydie Lane; Philippe Le Mercier; Frédérique Lisacek; Olivier Michielin; Patricia M. Palagi; Jacques Rougemont; Torsten Schwede; Christian von Mering; Erik van Nimwegen; Daniel Walther; Ioannis Xenarios; Mihaela Zavolan; Evgeny M. Zdobnov; Vincent Zoete; Ron D. Appel

The SIB Swiss Institute of Bioinformatics (www.isb-sib.ch) was created in 1998 as an institution to foster excellence in bioinformatics. It is renowned worldwide for its databases and software tools, such as UniProtKB/Swiss-Prot, PROSITE, SWISS-MODEL, STRING, etc, that are all accessible on ExPASy.org, SIBs Bioinformatics Resource Portal. This article provides an overview of the scientific and training resources SIB has consistently been offering to the life science community for more than 15 years.

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Torsten Schwede

Swiss Institute of Bioinformatics

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Florian Kiefer

Swiss Institute of Bioinformatics

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Paul D. Adams

Lawrence Berkeley National Laboratory

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