Search results for "bioinformatics"

showing 10 items of 1632 documents

Genetic contribution in sporadic thoracic aortic aneurysm? Emerging evidence of genetic variants related to TLR-4-mediated signaling pathway as risk …

2015

Abstract Sporadic thoracic aortic aneurysms (TAA) and dissections are one of the major causes of morbidity and mortality worldwide, especially in those older than 65 years. The presentation of TAA is varied and often silent. Thus, sporadic TAA detection is often fortuitous, with identification occurring during a routine physical examination or during an unrelated medical evaluation. Once suspected, confirmation by imaging clinical approaches is needed to allow the choose of the unique treatments for TAA, namely the surgery procedures, including elective surgery or endovascular repair before the onset of catastrophic and fatal complications, such as dissection or rupture. At present, there a…

Sporadic thoracic aortic aneurysms (TAA) and dissections genetic variants biomarkers targets for new personalized therapeutic treatments.Pathologymedicine.medical_specialtyPhysiologyDiseaseBioinformaticscomplex mixturesThoracic aortic aneurysmRisk Factorsparasitic diseasesGenetic variationMedicineHumansGenetic Predisposition to DiseaseElective surgeryPharmacologyAortic Aneurysm Thoracicbusiness.industryGenetic variantsGenetic VariationMedical evaluationmedicine.diseasedigestive system diseasesToll-Like Receptor 4DissectionMolecular MedicineSignal transductionbusinessSignal TransductionVascular pharmacology
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Discovery of 2-aryl and 2-pyridinylbenzothiazoles endowed with antimicrobial and aryl hydrocarbon receptor agonistic activities

2020

Highlights • Sixteen functionalized benzothiazoles were evaluated as antimicrobial agents and as AhR modulators. • The benzothiazoles showed noticeable antimicrobial effects against Gram-positive and Gram-negative pathogens and against the yeast C. albicans. • Six benzothiazoles exhibited significant AhR agonist effects in a cell-based reporter gene assay. • Structure-activity relationship analysis exposed some relevant headings on the substituent's contributions to the studied biological effects. • Compound 12 displayed promising biocide activity and AhR agonism as well as an adequate ADMET profile and binding similarities with FICZ.

Staphylococcus aureus[SDV]Life Sciences [q-bio]Pharmaceutical Science02 engineering and technology[CHIM.THER]Chemical Sciences/Medicinal ChemistryAntifungal030226 pharmacology & pharmacyArticleAgonism03 medical and health scienceschemistry.chemical_compound0302 clinical medicineAnti-Infective AgentsEscherichia coli[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyReporter genebiologyArylBenzothiazole021001 nanoscience & nanotechnologyAntimicrobialDruglikenessAryl hydrocarbon receptor[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/BacteriologyCorpus albicansAntibiofilmAnti-Bacterial Agents3. Good healthAntibacterial[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyReceptors Aryl HydrocarbonBenzothiazolechemistryBiochemistryAh receptorbiology.protein[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]0210 nano-technologyEndogenous agonist
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The Role of Nutraceuticals in Statin Intolerant Patients.

2018

Abstract Statins are the most common drugs administered for patients with cardiovascular disease. However, due to statin-associated muscle symptoms, adherence to statin therapy is challenging in clinical practice. Certain nutraceuticals, such as red yeast rice, bergamot, berberine, artichoke, soluble fiber, and plant sterols and stanols alone or in combination with each other, as well as with ezetimibe, might be considered as an alternative or add-on therapy to statins, although there is still insufficient evidence available with respect to long-term safety and effectiveness on cardiovascular disease prevention and treatment. These nutraceuticals could exert significant lipid-lowering activ…

Statinmedicine.drug_classDiseasecardiovascular risk ; dyslipidemia ; nutraceuticals ; position paper ; statin intolerance030204 cardiovascular system & hematologyBioinformaticsKlinikai orvostudományok03 medical and health sciences0302 clinical medicineNutraceuticalEzetimibeStatin intoleranceRed yeast riceMedicineHumansPosition paper030212 general & internal medicineEndothelial dysfunctionDyslipidemiasbusiness.industryClinical Studies as TopicOrvostudományokmedicine.diseaseCardiovascular risk3. Good healthDyslipidemiaDietary SupplementsArterial stiffnesslipids (amino acids peptides and proteins)nutraceuticalHydroxymethylglutaryl-CoA Reductase InhibitorNutraceuticalsHydroxymethylglutaryl-CoA Reductase InhibitorsCardiology and Cardiovascular MedicinebusinessDyslipidemiaposition papermedicine.drugstatin intoleranceHuman
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Algorithms and tools for protein-protein interaction networks clustering, with a special focus on population-based stochastic methods

2014

Abstract Motivation: Protein–protein interaction (PPI) networks are powerful models to represent the pairwise protein interactions of the organisms. Clustering PPI networks can be useful for isolating groups of interacting proteins that participate in the same biological processes or that perform together specific biological functions. Evolutionary orthologies can be inferred this way, as well as functions and properties of yet uncharacterized proteins. Results: We present an overview of the main state-of-the-art clustering methods that have been applied to PPI networks over the past decade. We distinguish five specific categories of approaches, describe and compare their main features and …

Statistics and ProbabilityComputer sciencePopulationPopulation basedMachine learningcomputer.software_genreBiochemistryProtein protein interaction networkgenetic algorithmsProtein–protein interactionBioinformatics Clustering Biological NetworksPPI networkscomplex detectionProtein Interaction MappingAnimalsCluster AnalysisHumanseducationCluster analysisMolecular BiologyTopology (chemistry)Class (computer programming)education.field_of_studybusiness.industryfood and beveragesProteinsComputer Science ApplicationsComputational MathematicsComputational Theory and MathematicsArtificial intelligenceData miningbusinessFocus (optics)computerAlgorithms
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mRNAStab—a web application for mRNA stability analysis

2013

Abstract Eukaryotic gene expression is regulated both at the transcription and the mRNA degradation levels. The implementation of functional genomics methods that allow the simultaneous measurement of transcription (TR) and degradation (DR) rates for thousands of mRNAs is a huge improvement in this field. One of the best established methods for mRNA stability determination is genomic run-on (GRO). It allows the measurement of DR, TR and mRNA levels during cell dynamic responses. Here, we offer a software package that provides improved algorithms for determination of mRNA stability during dynamic GRO experiments. Availability and implementation: The program mRNAStab is freely accessible at h…

Statistics and ProbabilityComputer scienceRNA StabilityCellComputational biologyBioinformaticsBiochemistryTranscription (biology)Gene expressionMRNA degradationmedicineHumansWeb applicationRNA MessengerMolecular BiologyInternetMessenger RNAbusiness.industryRNAGenomicsComputer Science ApplicationsComputational Mathematicsmedicine.anatomical_structureComputational Theory and MathematicsMrna levelbusinessFunctional genomicsAlgorithmsSoftwareBioinformatics
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Splitting the dynamics of large biochemical interaction networks

2003

This article is inscribed in the general motivation of understanding the dynamics on biochemical networks including metabolic and genetic interactions. Our approach is continuous modeling by differential equations. We address the problem of the huge size of those systems. We present a mathematical tool for reducing the size of the model, master-slave synchronization, and fit it to the biochemical context.

Statistics and ProbabilityMaster slave synchronizationModularity (networks)Theoretical computer scienceGeneral Immunology and MicrobiologyDifferential equationSystems BiologyQuantitative Biology::Molecular NetworksApplied MathematicsSystems biologyDynamics (mechanics)Context (language use)General MedicineBiologyBioinformaticsModels BiologicalGeneral Biochemistry Genetics and Molecular BiologyCell Physiological PhenomenaGene Expression RegulationModeling and SimulationSynchronization (computer science)AnimalsGeneral Agricultural and Biological SciencesAlgorithmsJournal of Theoretical Biology
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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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Global stability of protein folding from an empirical free energy function

2013

The principles governing protein folding stand as one of the biggest challenges of Biophysics. Modeling the global stability of proteins and predicting their tertiary structure are hard tasks, due in part to the variety and large number of forces involved and the difficulties to describe them with sufficient accuracy. We have developed a fast, physics-based empirical potential, intended to be used in global structure prediction methods. This model considers four main contributions: Two entropic factors, the hydrophobic effect and configurational entropy, and two terms resulting from a decomposition of close-packing interactions, namely the balance of the dispersive interactions of folded an…

Statistics and ProbabilityProtein FoldingEmpirical potential for proteinsConfiguration entropyPROTCALBioinformaticsGeneral Biochemistry Genetics and Molecular BiologyForce field (chemistry)Protein structureStatistical physicsDatabases ProteinQuantitative Biology::BiomoleculesModels StatisticalFoldXGeneral Immunology and MicrobiologyApplied MathematicsProteinsReproducibility of ResultsGeneral MedicineProtein tertiary structureProtein Structure TertiaryPrediction of protein folding stabilityModeling and SimulationLinear ModelsThermodynamicsProtein foldingGeneral Agricultural and Biological SciencesStatistical potentialAlgorithmsSoftwareTest dataJournal of Theoretical Biology
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The Power of Word-Frequency Based Alignment-Free Functions: a Comprehensive Large-Scale Experimental Analysis

2021

Abstract Motivation Alignment-free (AF) distance/similarity functions are a key tool for sequence analysis. Experimental studies on real datasets abound and, to some extent, there are also studies regarding their control of false positive rate (Type I error). However, assessment of their power, i.e. their ability to identify true similarity, has been limited to some members of the D2 family. The corresponding experimental studies have concentrated on short sequences, a scenario no longer adequate for current applications, where sequence lengths may vary considerably. Such a State of the Art is methodologically problematic, since information regarding a key feature such as power is either mi…

Statistics and ProbabilitySequenceSimilarity (geometry)Settore INF/01 - Informaticasequence analysisComputer sciencepower statisticsAlignment-Free Genomic Analysis Big Data Software Platforms Bioinformatics AlgorithmsScale (descriptive set theory)Function (mathematics)computer.software_genreBiochemistryComputer Science ApplicationsSet (abstract data type)Computational MathematicsRange (mathematics)Computational Theory and Mathematicssequence analysis; power statistics; alignment-free functionsalignment-free functionsData miningCompleteness (statistics)Molecular BiologycomputerType I and type II errors
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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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