Search results for "computation"

showing 10 items of 7362 documents

Identification of Protein Complexes Associated with the Usher Syndrome 2C and Epilepsy-Associated Protein VLGR1 Applying Affinity Proteomics

2017

Authors aimed to identify novel VLGR1-associated protein networks to shed light on its integration into signaling pathways and the cellular compartments in which VLGR1 functions using high-resolution affinity proteomics based on tandem affinity purifications (TAPs).

0301 basic medicineChemistryUsher syndromeGenomics02 engineering and technologyComputational biology021001 nanoscience & nanotechnologymedicine.diseaseProteomics03 medical and health sciencesEpilepsy030104 developmental biologymedicineIdentification (biology)Signal transduction0210 nano-technologyProtein networkCellular compartmentGenomics and Computational Biology
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COVID-19: viral–host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection

2020

AbstractBackgroundEpidemiological, virological and pathogenetic characteristics of SARS-CoV-2 infection are under evaluation. A better understanding of the pathophysiology associated with COVID-19 is crucial to improve treatment modalities and to develop effective prevention strategies. Transcriptomic and proteomic data on the host response against SARS-CoV-2 still have anecdotic character; currently available data from other coronavirus infections are therefore a key source of information.MethodsWe investigated selected molecular aspects of three human coronavirus (HCoV) infections, namely SARS-CoV, MERS-CoV and HCoV-229E, through a network based-approach. A functional analysis of HCoV-hos…

0301 basic medicineChemokinevirusesPneumonia ViralGene regulatory networklcsh:MedicineComputational biologyVirus-host interactomemedicine.disease_causeModels BiologicalInteractomeGeneral Biochemistry Genetics and Molecular BiologyTranscriptomePathogenesis03 medical and health sciencesBetacoronavirus0302 clinical medicineViral Envelope ProteinsProtein Interaction MappingmedicineCoronavirus infectionHumansGene Regulatory NetworksPandemicsGeneCoronavirusVirus–host interactomeMembrane GlycoproteinsInnate immune systembiologySARS-CoV-2Researchlcsh:RCOVID-19virus diseasesGeneral Medicinebiochemical phenomena metabolism and nutritionVirus–host interactome ; COVID-19 ; Coronavirus infection ; Spike glycoproteinPhenotyperespiratory tract diseasescoronavirus infection; spike glycoprotein; virus-host interactome030104 developmental biologySettore MED/38 - PEDIATRIA GENERALE E SPECIALISTICA030220 oncology & carcinogenesisHost-Pathogen Interactionsbiology.proteinSpike glycoproteinCoronavirus InfectionsSignal TransductionJournal of Translational Medicine
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Advanced Glycation End Products (AGEs): Biochemistry, Signaling, Analytical Methods, and Epigenetic Effects

2020

The advanced glycation end products (AGEs) are organic molecules formed in any living organisms with a great variety of structural and functional properties. They are considered organic markers of the glycation process. Due to their great heterogeneity, there is no specific test for their operational measurement. In this review, we have updated the most common chromatographic, colorimetric, spectroscopic, mass spectrometric, and serological methods, typically used for the determination of AGEs in biological samples. We have described their signaling and signal transduction mechanisms and cell epigenetic effects. Although mass spectrometric analysis is not widespread in the detection of AGEs…

0301 basic medicineChronic exposureGlycation End Products AdvancedAgingSpecific testComputational biologyReview ArticleBiochemistryOrganic moleculesEpigenesis Genetic03 medical and health sciences0302 clinical medicineGlycationAGE antioxidants epigenetics biochemistry.MedicineHumansEpigeneticsQH573-671business.industryCell BiologyGeneral MedicineMass spectrometricAutofluorescence030104 developmental biology030220 oncology & carcinogenesisbusinessCytologySignal TransductionOxidative Medicine and Cellular Longevity
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2019

The DNA-binding of the natural benzophenanthridine alkaloid chelerythrine (CHE) has been assessed by combining molecular modeling and optical absorption spectroscopy. Specifically, both double-helical (B-DNA) and G-quadruplex sequences—representative of different topologies and possessing biological relevance, such as telomeric or regulatory sequences—have been considered. An original multiscale protocol, making use of molecular dynamics (MD) simulations and quantum mechanics/molecular mechanics (QM/MM) calculations, allowed us to compare the theoretical and experimental circular dichroism spectra of the different DNA topologies, readily providing atomic-level details of the CHE–DNA binding…

0301 basic medicineCircular dichroismMolecular modelPhysiologyChemistryClinical BiochemistryCell Biology010402 general chemistryG-quadruplex01 natural sciencesBiochemistryMolecular mechanicsSmall molecule0104 chemical sciences3. Good health03 medical and health sciencesMolecular dynamicschemistry.chemical_compound030104 developmental biologyChelerythrineComputational chemistryMolecular BiologyBinding selectivityAntioxidants
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Disease–Genes Must Guide Data Source Integration in the Gene Prioritization Process

2019

One of the main issues in detecting the genes involved in the etiology of genetic human diseases is the integration of different types of available functional relationships between genes. Numerous approaches exploited the complementary evidence coded in heterogeneous sources of data to prioritize disease-genes, such as functional profiles or expression quantitative trait loci, but none of them to our knowledge posed the scarcity of known disease-genes as a feature of their integration methodology. Nevertheless, in contexts where data are unbalanced, that is, where one class is largely under-represented, imbalance-unaware approaches may suffer a strong decrease in performance. We claim that …

0301 basic medicineClass (computer programming)Boosting (machine learning)Computer scienceProcess (engineering)media_common.quotation_subjectComputational biologyScarcity03 medical and health sciencesComputingMethodologies_PATTERNRECOGNITION030104 developmental biologyExpression quantitative trait lociKey (cryptography)Feature (machine learning)Gene prioritizationmedia_common
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Proteomics and Metabolomics Studies and Clinical Outcomes

2018

Abstract The application of proteomics and metabolomics to the field of human reproduction arose as a result of the need to identify new diagnostic and therapeutic tools that improve fertilization, implantation, and live birth rates in assisted reproduction cycles. A better understanding of the molecular mechanisms underlying the physiology of germ cells, embryos, and the endometrium has been made possible through the identification of their proteomic and metabolomic profiles. This has led to the discovery of specific biomarkers for the diagnosis, treatment, and counseling of several infertility-related conditions and for a more objective selection of the best gametes and embryos and the mo…

0301 basic medicineClinical Practice03 medical and health sciencesHuman reproduction030219 obstetrics & reproductive medicine030104 developmental biology0302 clinical medicineMetabolomicsIdentification (biology)Computational biologyBiologyLive birthProteomics
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A Methodology to Study Pseudogenized lincRNAs

2021

Long intergenic noncoding RNAs (lincRNAs) are known to be tissue specifically expressed and able to regulate functional protein-coding genes: some can even act as competing endogenous RNAs (ceRNAs), because microRNAs can bind to them instead of the corresponding mRNA binding sites. Some lincRNAs contain remnants of protein-coding sequences and it has been hypothesized that they might arise after a pseudogenization processes. However, a major limitation in the study of such phenomenon is the lack of proper computational tools designed to align/analyze protein-coding sequences and noncoding sequences. To overcome this limitation, we published a method that finds the remnants of protein-coding…

0301 basic medicineCompeting endogenous RNAPseudogeneSequence alignmentComputational biologyBiology03 medical and health sciences030104 developmental biology0302 clinical medicineIntergenic regionmicroRNASingle pointGene030217 neurology & neurosurgerySequence (medicine)
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Efficient Algorithms for Sequence Analysis with Entropic Profiles

2017

Entropy, being closely related to repetitiveness and compressibility, is a widely used information-related measure to assess the degree of predictability of a sequence. Entropic profiles are based on information theory principles, and can be used to study the under-/over-representation of subwords, by also providing information about the scale of conserved DNA regions. Here, we focus on the algorithmic aspects related to entropic profiles. In particular, we propose linear time algorithms for their computation that rely on suffix-based data structures, more specifically on the truncated suffix tree (TST) and on the enhanced suffix array (ESA). We performed an extensive experimental campaign …

0301 basic medicineCompressed suffix arrayTheoretical computer scienceEntropySuffix tree0206 medical engineeringGeneralized suffix tree02 engineering and technologyString searching algorithmInformation theorylaw.invention03 medical and health scienceslawGeneticsAnimalsHumansMathematicsApplied MathematicsSuffix arrayComputational BiologyDNASequence Analysis DNAData structure030104 developmental biologySuffixAlignment free Entropy Sequence analysis Sequence comparisonAlgorithms020602 bioinformaticsBiotechnologyIEEE/ACM Transactions on Computational Biology and Bioinformatics
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Large-scale identification of functional microRNA targeting reveals cooperative regulation of the hemostatic system.

2018

Essentials MicroRNAs (miRNAs) regulate the molecular networks controlling biological functions such as hemostasis. We utilized novel methods to analyze miRNA-mediated regulation of the hemostatic system. 52 specific miRNA interactions with 11 key hemostatic associated genes were identified. Functionality and drugability of miRNA-19b-3p against antithrombin were demonstrated in vivo. SUMMARY: Background microRNAs (miRNAs) confer robustness to complex molecular networks regulating biological functions. However, despite the involvement of miRNAs in almost all biological processes, and the importance of the hemostatic system for a multitude of actions in and beyond blood coagulation, the role o…

0301 basic medicineComputational biologyBiologyAntithrombinsHemostatics03 medical and health sciencesMiceCell Line TumormicroRNAGene silencingAnimalsHumansGene SilencingBiomarker discoveryGene3' Untranslated RegionsHemostasisThree prime untranslated regionRNARobustness (evolution)Computational BiologyHigh-Throughput Nucleotide SequencingThrombosisHematologyMice Inbred C57BLMicroRNAs030104 developmental biologyHemostasisBiomarkersPlasmidsJournal of thrombosis and haemostasis : JTH
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Histone Post-Translational Modifications and Nucleosome Organisation in Transcriptional Regulation: Some Open Questions

2017

The organisation of chromatin is first discussed to conclude that nucleosomes play both structural and transcription-regulatory roles. The presence of nucleosomes makes difficult the access of transcriptional factors to their target sequences and the action of RNA polymerases. The histone post-translational modifications and nucleosome remodelling are first discussed, from a historical point of view, as mechanisms to remove the obstacles imposed by chromatin structure to transcription. Instead of reviewing the state of the art of the whole field, this review is centred on some open questions. First, some “non-classical” histone modifications, such as short-chain acylations other than acetyl…

0301 basic medicineComputational biologyBiologyChromatin03 medical and health sciences030104 developmental biology0302 clinical medicineHistoneAcetylation030220 oncology & carcinogenesisTranscriptional regulationbiology.proteinHistone codeNucleosomeEpigeneticsTranscription factor
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