Search results for "Structural Genomics"

showing 9 items of 9 documents

Letter to the Editor: Solution structure of hypothetical protein TA1414 from Thermoplasma acidophilum

2004

biologyChemistryHypothetical proteinStructural proteomicsThermoplasma acidophilumComputational biologybiology.organism_classificationBiochemistrySolution structureSpectroscopyStructural genomicsJournal of Biomolecular NMR
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Assessing model accuracy using the homology modeling automatically software

2007

Homology modeling is a powerful technique that greatly increases the value of experimental structure determination by using the structural information of one protein to predict the structures of homologous proteins. We have previously described a method of homology modeling by satisfaction of spatial restraints (Li et al., Protein Sci 1997;6:956-970). The Homology Modeling Automatically (HOMA) web site,http://www-nmr.cabm.rutgers.edu/HOMA, is a new tool, using this method to predict 3D structure of a target protein based on the sequence alignment of the target protein to a template protein and the structure coordinates of the template. The user is presented with the resulting models, togeth…

Models MolecularProtein Conformationbusiness.industryProteinsSequence alignmentStructure validationComputational biologyProtein superfamilyMachine learningcomputer.software_genreBiochemistryHomology (biology)Structural genomicsProtein structureStructural BiologyArtificial intelligenceTarget proteinHomology modelingbusinessMolecular BiologycomputerSoftwareMathematicsProteins: Structure, Function, and Bioinformatics
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Protein NMR Structures Refined with Rosetta Have Higher Accuracy Relative to Corresponding X-ray Crystal Structures

2014

We have found that refinement of protein NMR structures using Rosetta with experimental NMR restraints yields more accurate protein NMR structures than those that have been deposited in the PDB using standard refinement protocols. Using 40 pairs of NMR and X-ray crystal structures determined by the Northeast Structural Genomics Consortium, for proteins ranging in size from 5-22 kDa, restrained Rosetta refined structures fit better to the raw experimental data, are in better agreement with their X-ray counterparts, and have better phasing power compared to conventionally determined NMR structures. For 37 proteins for which NMR ensembles were available and which had similar structures in solu…

Models MolecularChemistryProtein ConformationProtein Data Bank (RCSB PDB)X-rayProteinsGeneral ChemistryNuclear magnetic resonance crystallographyCrystal structureCrystallography X-RayBiochemistryCatalysisArticleStructural genomicsCrystalCrystallographyColloid and Surface ChemistryMolecular replacementComputer SimulationNuclear Magnetic Resonance BiomolecularSoftwareJournal of the American Chemical Society
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NMR structure of hypothetical protein TA0938 from Thermoplasma acidophilum.

2007

Models MolecularbiologySequence Homology Amino AcidChemistryThermoplasmaArchaeal ProteinsArchaeal ProteinsHypothetical proteinThermoplasmaMolecular Sequence DataThermoplasma acidophilumSequence alignmentComputational biologybiology.organism_classificationBiochemistryStructural genomicsProtein Structure TertiaryStructural BiologyAmino Acid SequenceMolecular BiologyPeptide sequenceNuclear Magnetic Resonance BiomolecularSequence AlignmentProteins
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On the power and the systematic biases of the detection of chromosomal inversions by paired-end genome sequencing

2013

One of the most used techniques to study structural variation at a genome level is paired-end mapping (PEM). PEM has the advantage of being able to detect balanced events, such as inversions and translocations. However, inversions are still quite difficult to predict reliably, especially from high-throughput sequencing data. We simulated realistic PEM experiments with different combinations of read and library fragment lengths, including sequencing errors and meaningful base-qualities, to quantify and track down the origin of false positives and negatives along sequencing, mapping, and downstream analysis. We show that PEM is very appropriate to detect a wide range of inversions, even with …

Evolutionary GeneticsChromosome Structure and Functionlcsh:MedicineComputational biologyBiologyGenomeDNA sequencingStructural variation03 medical and health sciences0302 clinical medicineGenetic MutationGeneticsFalse positive paradoxHumansComputer SimulationFalse Positive ReactionsGenomic libraryGenome Sequencinglcsh:ScienceBiologyGenome EvolutionFalse Negative Reactions030304 developmental biologyChromosomal inversionSegmental duplicationGeneticsEvolutionary Biology0303 health sciencesMultidisciplinaryChromosome Biologylcsh:RBreakpointMutation TypesComputational BiologyChromosome MappingGenomic EvolutionGenomicsSequence Analysis DNAComparative GenomicsChromosomes Human Pair 1Chromosome Inversionlcsh:QStructural GenomicsSequence AnalysisAlgorithms030217 neurology & neurosurgeryResearch Article
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Assessing the impact of copy number variants on miRNA genes in autism by Monte Carlo simulation.

2014

Autism Spectrum Disorders (ASDs) are childhood neurodevelopmental disorders with complex genetic origins. Previous studies have investigated the role of de novo Copy Number Variants (CNVs) and microRNAs as important but distinct etiological factors in ASD. We developed a novel computational procedure to assess the potential pathogenic role of microRNA genes overlapping de novo CNVs in ASD patients. Here we show that for chromosomes # 1, 2 and 22 the actual number of miRNA loci affected by de novo CNVs in patients was found significantly higher than that estimated by Monte Carlo simulation of random CNV events. Out of 24 miRNA genes over-represented in CNVs from these three chromosomes only …

Clinical PathologyDNA Copy Number Variationsendocrine system diseasesChromosomes Human Pair 22ScienceGene regulatory networkGenomicsDevelopmental and Pediatric NeurologyBiologyPathology and Laboratory MedicinePediatricsGenomeMolecular GeneticsmiRNA Genes Monte Carlo Simulation AutismDiagnostic Medicinemental disordersGeneticsMedicine and Health SciencesmedicineHumansComputer SimulationGene Regulatory NetworksCopy-number variationAutistic DisorderGeneGeneticsMultidisciplinaryGenome HumanQRBiology and Life SciencesComputational BiologyGenomicsGenome Analysismedicine.diseaseSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)MicroRNAsNeurologyChromosomes Human Pair 1Genetic LociAutism spectrum disorderChromosomes Human Pair 2AutismMedicineStructural GenomicsHuman genomeMonte Carlo MethodResearch ArticlePLoS ONE
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Evaluating protein structures determined by structural genomics consortia.

2006

Structural genomics projects are providing large quantities of new 3D structural data for proteins. To monitor the quality of these data, we have developed the protein structure validation software suite (PSVS), for assessment of protein structures generated by NMR or X-ray crystallographic methods. PSVS is broadly applicable for structure quality assessment in structural biology projects. The software integrates under a single interface analyses from several widely-used structure quality evaluation tools, including PROCHECK (Laskowski et al., J Appl Crystallog 1993;26:283-291), MolProbity (Lovell et al., Proteins 2003;50:437-450), Verify3D (Luthy et al., Nature 1992;356:83-85), ProsaII (Si…

Models MolecularComputer scienceProtein Data Bank (RCSB PDB)GenomicsComputational biologycomputer.software_genreCrystallography X-RayBiochemistryStructural genomicsProtein structureStructural BiologySoftware DesignHumansDatabases ProteinMolecular BiologyNuclear Magnetic Resonance BiomolecularSoftware suiteComputational BiologyProteinsGenomicsProtein Structure TertiaryCrystallographyStructural biologyQuality ScorecomputerData integrationProteins
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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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Q-nexus

2018

Q-nexus is a comprehensive software package for ChIP-nexus data that exploits the random barcodes for selective removal of PCR duplicates and for quality control.

PCR experimentStructural genomicsGene transcripts
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