Search results for "Protein structure database"

showing 5 items of 5 documents

FastaHerder2: Four Ways to Research Protein Function and Evolution with Clustering and Clustered Databases.

2016

The accelerated growth of protein databases offers great possibilities for the study of protein function using sequence similarity and conservation. However, the huge number of sequences deposited in these databases requires new ways of analyzing and organizing the data. It is necessary to group the many very similar sequences, creating clusters with automated derived annotations useful to understand their function, evolution, and level of experimental evidence. We developed an algorithm called FastaHerder2, which can cluster any protein database, putting together very similar protein sequences based on near-full-length similarity and/or high threshold of sequence identity. We compressed 50…

0301 basic medicineProtein structure databaseProteomicsProteomeSequence analysisComputer sciencecomputer.software_genreSensitivity and SpecificitySet (abstract data type)Evolution Molecular03 medical and health sciences0302 clinical medicineSimilarity (network science)Sequence Analysis ProteinGeneticsCluster (physics)AnimalsCluster AnalysisHumansCluster analysisDatabases ProteinMolecular BiologySequenceDatabaseFunction (mathematics)Computational Mathematics030104 developmental biologyComputational Theory and MathematicsModeling and SimulationData miningcomputer030217 neurology & neurosurgerySoftwareJournal of computational biology : a journal of computational molecular cell biology
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The Protein Structure Context of PolyQ Regions.

2016

Proteins containing glutamine repeats (polyQ) are known to be structurally unstable. Abnormal expansion of polyQ in some proteins exceeding a certain threshold leads to neurodegenerative disease, a symptom of which are protein aggregates. This has led to extensive research of the structure of polyQ stretches. However, the accumulation of contradictory results suggests that protein context might be of importance. Here we aimed to evaluate the structural context of polyQ regions in proteins by analysing the secondary structure of polyQ proteins and their homologs. The results revealed that the secondary structure in polyQ vicinity is predominantly random coil or helix. Importantly, the region…

Models MolecularProtein Conformation alpha-HelicalProtein Structure ComparisonProtein StructureSaccharomyces cerevisiae ProteinsGlutaminelcsh:MedicineNerve Tissue ProteinsSaccharomyces cerevisiaePlant ScienceResearch and Analysis MethodsBiochemistryPlant Roots570 Life sciencesDatabase and Informatics MethodsProtein Structure DatabasesMacromolecular Structure AnalysisHumansProtein Interaction Domains and MotifsAmino AcidsDatabases ProteinProtein Interactionslcsh:ScienceMolecular BiologyMediator ComplexOrganic CompoundsPlant AnatomyAcidic Amino AcidsOrganic Chemistrylcsh:RChemical CompoundsBiology and Life SciencesProteinsRoot StructureChemistryBiological DatabasesProtein-Protein InteractionsPhysical Scienceslcsh:QStructural ProteinsProtein Structure DeterminationPeptidesResearch Article570 BiowissenschaftenPLoS ONE
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Extracting similar sub-graphs across PPI Networks

2009

Singling out conserved modules (corresponding to connected sub-graphs) throughout protein-protein interaction networks of different organisms is a main issue in bioinformatics because of its potential applications in biology. This paper presents a method to discover highly matching sub-graphs in such networks. Sub-graph extraction is carried out by taking into account, on the one side, both protein sequence and network structure similarities and, on the other side, both quantitative and reliability information possibly available about interactions. The method is conceived as a generalization of a known technique, able to discover functional orthologs in interaction networks. Some preliminar…

Protein structure databaseBioinformatics network analysisProtein sequencingMatching (graph theory)GeneralizationComputer scienceReliability (computer networking)Protein function predictionGraph theoryData miningcomputer.software_genrecomputerNetwork analysis
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A computer system to perform structure comparison using TOPS representations of protein structure

2001

We describe the design and implementation of a fast topology-based method for protein structure comparison. The approach uses the TOPS topological representation of protein structure, aligning two structures using a common discovered pattern and generating measure of distance derived from an insert score. Heavy use is made of a constraint-based pattern-matching algorithm for TOPS diagrams that we have designed and described elsewhere (Bioinformatics 15(4) (1999) 317). The comparison system is maintained at the European Bioinformatics Institute and is available over the Web at tops.ebi.ac.uk/tops. Users submit a structure description in Protein Data Bank (PDB) format and can compare it with …

Protein structure databaseMeasure (data warehouse)Molecular StructureComputer scienceGeneral Chemical EngineeringProteinsSequence Homologycomputer.file_formatTOPSProtein structure predictioncomputer.software_genreProtein Data BankApplied Microbiology and BiotechnologyPattern Recognition AutomatedArtificial IntelligencePattern matchingData miningProtein topologyRepresentation (mathematics)computerAlgorithmsSoftwareBiotechnology
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Experimental Evaluation of Protein Secondary Structure Predictors

2009

Understanding protein biological function is a key issue in modern biology, which is largely determined by its 3D shape. Protein 3D shape, in its turn, is functionally implied by its amino acid sequence. Since the direct inspection of such 3D structures is rather expensive and time consuming, a number of software techniques have been developed in the last few years that predict a spatial model, either of the secondary or of the tertiary form, for a given target protein starting from its amino acid sequence. This paper offers a comparison of several available automatic secondary structure prediction tools. The comparison is of the experimental kind, where two relevant sets of proteins, a non…

Protein structure databasebusiness.industryProtein structure predictionBioinformaticsMachine learningcomputer.software_genreSet (abstract data type)Bioinformatics Protein PredictionTest caseGlobal distance testArtificial intelligenceCASPbusinessPeptide sequencecomputerProtein secondary structure
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