Search results for "Structural bioinformatics"

showing 4 items of 4 documents

ballaxy: web services for structural bioinformatics.

2014

Abstract Motivation: Web-based workflow systems have gained considerable momentum in sequence-oriented bioinformatics. In structural bioinformatics, however, such systems are still relatively rare; while commercial stand-alone workflow applications are common in the pharmaceutical industry, academic researchers often still rely on command-line scripting to glue individual tools together. Results: In this work, we address the problem of building a web-based system for workflows in structural bioinformatics. For the underlying molecular modelling engine, we opted for the BALL framework because of its extensive and well-tested functionality in the field of structural bioinformatics. The large …

Statistics and ProbabilityModels MolecularComputer sciencecomputer.software_genreBiochemistryWorkflowStructural bioinformaticsUser-Computer InterfaceHumansMolecular Biologybusiness.industryComputational BiologySequence Analysis DNAData structureComputer Science ApplicationsVisualizationSystems IntegrationComputational MathematicsWorkflowComputational Theory and MathematicsScripting languageWeb serviceSoftware engineeringbusinesscomputerAlgorithmsSoftwareBioinformatics (Oxford, England)
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String kernels and high-quality data set for improved prediction of kinked helices in α-helical membrane proteins.

2011

The reasons for distortions from optimal α-helical geometry are widely unknown, but their influences on structural changes of proteins are significant. Hence, their prediction is a crucial problem in structural bioinformatics. For the particular case of kink prediction, we generated a data set of 132 membrane proteins containing 1014 manually labeled helices and examined the environment of kinks. Our sequence analysis confirms the great relevance of proline and reveals disproportionately high occurrences of glycine and serine at kink positions. The structural analysis shows significantly different solvent accessible surface area mean values for kinked and nonkinked helices. More important, …

Models MolecularSupport Vector MachineProlineGeneral Chemical EngineeringGlycineLibrary and Information SciencesProtein Structure SecondaryAccessible surface areaSet (abstract data type)Structural bioinformaticsC++ string handlingSerineAnimalsHumansDatabases ProteinQuantitative Biology::BiomoleculesModels StatisticalChemistryComputational BiologyMembrane ProteinsGeneral ChemistryComputer Science ApplicationsData setCrystallographyMembrane proteinα helicalResearch Designlipids (amino acids peptides and proteins)Biological systemJournal of chemical information and modeling
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SKINK: a web server for string kernel based kink prediction in α-helices

2014

Abstract Motivation: The reasons for distortions from optimal α-helical geometry are widely unknown, but their influences on structural changes of proteins are significant. Hence, their prediction is a crucial problem in structural bioinformatics. Here, we present a new web server, called SKINK, for string kernel based kink prediction. Extending our previous study, we also annotate the most probable kink position in a given α-helix sequence. Availability and implementation: The SKINK web server is freely accessible at http://biows-inf.zdv.uni-mainz.de/skink. Moreover, SKINK is a module of the BALL software, also freely available at www.ballview.org. Contact:  benny.kneissl@roche.com

Statistics and ProbabilitySkinkWeb serverTheoretical computer scienceComputer scienceReal-time computingcomputer.software_genreBiochemistryProtein Structure SecondaryStructural bioinformaticsSoftwareSequence Analysis ProteinString kernelPosition (vector)Ball (mathematics)Molecular BiologyInternetSequencebiologybusiness.industryComputational BiologyProteinsbiology.organism_classificationComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsbusinesscomputerSoftwareBioinformatics
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A community resource of experimental data for NMR / X-ray crystal structure pairs

2015

We have developed an online NMR / X-ray Structure Pair Data Repository. The NIGMS Protein Structure Initiative (PSI) has provided many valuable reagents, 3D structures, and technologies for structural biology. The Northeast Structural Genomics Consortium was one of several PSI centers. NESG used both X-ray crystallography and NMR spectroscopy for protein structure determination. A key goal of the PSI was to provide experimental structures for at least one representative of each of hundreds of targeted protein domain families. In some cases, structures for identical (or nearly identical) constructs were determined by both NMR and X-ray crystallography. NMR spectroscopy and X-ray diffraction …

0301 basic medicineChemistryNuclear magnetic resonance crystallographyNuclear magnetic resonance spectroscopyBiochemistryStructural genomics03 medical and health sciencesCrystallographyStructural bioinformatics030104 developmental biologyProtein structureStructural biologyTriple-resonance nuclear magnetic resonance spectroscopyMolecular BiologyProtein Structure InitiativeProtein Science
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