Search results for "Bioinformatic"

showing 10 items of 1651 documents

DNA MICROARRAY AND BIOINFORMATICS AS TOOLS TO IDENTIFY A COMMON MOLECULAR SIGNATURE SHARED BY HUMAN ANEUPLOID CELLS

Genomic instability is a hallmark of the majority of human tumors explaining the heterogeneity shown by tumor cells. This phenomenon is often associated with chromosomal instability (CIN) and aneuploidy, a condition in which tumor cells lose or gain chromosomes. Previously, we showed that posttranscriptional silencing by RNAi of pRb(1), DNMT1(2) and MAD2(3) is associated with aneuploidy in cultured human cells reinforcing the idea that there are several roads leading to aneuploidy. In the attempt to understand if a common molecular signature exists that underlies aneuploidy and its tolerance in tumor cells, we did post transcriptional silencing of Rb, MAD2 and DNMT1 in human fibroblasts (IM…

Aneuploidy Bioinformatics microarray
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2015

The heterotetracene skeleton of the title molecule, C23H14Br2N2OS, is defined by linear annulation of four six-membered rings, including two N heteroatoms. This moiety is nearly planar (r.m.s. deviation = 0.055 Å), with a slight twist of 4.1 (2)° between the two halves of the aromatic system. The dihedral angle between the least-squares plane of the skeleton and the benzyl group is 24.5 (3)°; the C—S—C angle involving the benzylsulfanyl group is 99.2 (4)°. In the crystal, molecules are π-stacked in an antiparallel fashion along [110], with a distance between the aromatic planes of 3.47 (2) Å. Intermolecular N—H...O hydrogen bonds form chains extending parallel to [001] and bridge the antipa…

AnnulationHydrogen bondChemistryHeteroatomGeneral ChemistryCrystal structureDihedral angleCondensed Matter PhysicsBioinformaticschemistry.chemical_compoundCrystallographySulfanylBenzyl groupMoietyGeneral Materials ScienceActa Crystallographica Section E Crystallographic Communications
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Recent advances in computational design of potent aromatase inhibitors: open-eye on endocrine-resistant breast cancers.

2019

Introduction: The vast majority of breast cancers (BC) are estrogen receptor positive (ER+). The most effective treatments to fight this BC type rely on estrogen deprivation therapy, by inhibiting the aromatase enzyme, which performs estrogen biosynthesis, or on blocking the estrogens signaling path via modulating/degrading the estrogen's specific nuclear receptor (estrogen receptor-?, ER?). While being effective at early disease stage, patients treated with aromatase inhibitors (AIs) may acquire resistance and often relapse after prolonged therapies. Areas covered: In this compendium, after an overview of the historical development of the AIs currently in clinical use, and of the computati…

Antineoplastic Agents Hormonalmedicine.drug_classCYP450sEstrogen receptorallostery; aromatase inhibitors; Breast cancer; CYP450s; ligand-based and structure-based drug design; molecular dynamics; virtual screeningBreast NeoplasmsMolecular Dynamics SimulationBioinformatics03 medical and health sciencesBreast cancer0302 clinical medicineBreast cancerDrug DiscoverymedicineEndocrine systemHumansAromataseSurvival rate030304 developmental biologyCause of deathNeoplasm Staging0303 health sciencesallosterybiologybusiness.industryAromatase Inhibitorsvirtual screeningmedicine.diseaseligand-based and structure-based drug designmolecular dynamicsSurvival RateNuclear receptorEstrogenDrug Resistance Neoplasm030220 oncology & carcinogenesisDrug Designbiology.proteinFemalebusinessExpert opinion on drug discovery
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Management of Patients With Aortic Dissection

2008

Cardiovascular diseases have become the leading cause of death in countries with high medical standards. Acute aortic syndromes—particularly acute aortic dissection—are playing an increasingly important part in this development (1). Acute aortic dissection has an extremely high mortality rate after the occurrence of an initial manifestation, so a standardized treatment algorithm is crucial for patient survival. On the basis of selected recent publications, the aim of this study was to review the current status of the management of aortic dissection and formulate recommendations for treatment.

Aortic dissectionmedicine.medical_specialtybusiness.industryMortality ratePatient survivalGeneral MedicineReview ArticleBioinformaticsmedicine.diseasecardiovascular systemmedicineEndovascular treatmentIntensive care medicineSurgical treatmentbusinessCause of death
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Large-scale gene discovery in the pea aphid Acyrthosiphon pisum (Hemiptera)

2006

A large-scale sequencing analysis of the Hemiptera Acyrthosiphon pisumexpressed sequence tags corresponding to about 12,000 unique transcripts is described, along with an in silico profiling analysis that identifies 135 aphid tissue-specific transcripts.

Aphid SpeciesDNA ComplementaryTranscription GeneticMethodacyrthosiphon pisumAdditional Data FileséquençageAnimals[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyPhylogenyCodon PositionGene LibraryPlant DiseasesExpressed Sequence TagsPopulation DensityBase CompositionBase SequencegènefungiPeasfood and beveragesDNAbiochemical phenomena metabolism and nutrition[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Gene OntologycDNA LibrarypuceronAphids[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]Microsatellite Repeats
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Anaplastic Thyroid Carcinoma: A ceRNA Analysis Pointed to a Crosstalk between SOX2, TP53, and microRNA Biogenesis.

2014

It has been suggested that cancer stem cells (CSC) may play a central role in oncogenesis, especially in undifferentiated tumours. Anaplastic thyroid carcinoma (ATC) has characteristics suggestive of a tumour enriched in CSC. Previous studies suggested that the stem cell factorSOX2has a preeminent hierarchical role in determining the characteristics of stem cells in SW1736 ATC cell line. In detail, silencing SOX2 in SW1736 is able to suppress the expression of the stem markers analysed, strongly sensitizing the line to treatment with chemotherapeutic agents. Therefore, in order to further investigate the role of SOX2 in ATC, a competing endogenous RNA (ceRNA) analysis was conducted in order…

Article SubjectEndocrinology Diabetes and MetabolismSOX2Stem cell factorAnaplastic Thyroid carcinomaBiologyBioinformaticsmedicine.disease_causelcsh:Diseases of the endocrine glands. Clinical endocrinologySettore MED/13 - EndocrinologiaEndocrinologySOX2Cancer stem cellmicroRNAmedicineGene silencinglcsh:RC648-665microRNAEndocrine and Autonomic SystemsCompeting endogenous RNAceRNACancer researchStem cellCarcinogenesisResearch ArticleInternational journal of endocrinology
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Adaptive Continuous Feature Binarization for Tsetlin Machines Applied to Forecasting Dengue Incidences in the Philippines

2020

The Tsetlin Machine (TM) is a recent interpretable machine learning algorithm that requires relatively modest computational power, yet attains competitive accuracy in several benchmarks. TMs are inherently binary; however, many machine learning problems are continuous. While binarization of continuous data through brute-force thresholding has yielded promising accuracy, such an approach is computationally expensive and hinders extrapolation. In this paper, we address these limitations by standardizing features to support scale shifts in the transition from training data to real-world operation, typical for e.g. forecasting. For scalability, we employ sampling to reduce the number of binariz…

Artificial neural networkComputer sciencebusiness.industryDeep learning0206 medical engineeringDecision treeSampling (statistics)02 engineering and technologyMachine learningcomputer.software_genreThresholdingSupport vector machinePattern recognition (psychology)0202 electrical engineering electronic engineering information engineeringFeature (machine learning)020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer020602 bioinformatics2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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Intrusion Detection with Interpretable Rules Generated Using the Tsetlin Machine

2020

The rapid deployment in information and communication technologies and internet-based services have made anomaly based network intrusion detection ever so important for safeguarding systems from novel attack vectors. To this date, various machine learning mechanisms have been considered to build intrusion detection systems. However, achieving an acceptable level of classification accuracy while preserving the interpretability of the classification has always been a challenge. In this paper, we propose an efficient anomaly based intrusion detection mechanism based on the Tsetlin Machine (TM). We have evaluated the proposed mechanism over the Knowledge Discovery and Data Mining 1999 (KDD’99) …

Artificial neural networkbusiness.industryComputer science0206 medical engineeringDecision tree02 engineering and technologyIntrusion detection systemMachine learningcomputer.software_genreRandom forestSupport vector machineStatistical classificationKnowledge extraction0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinesscomputer020602 bioinformaticsInterpretability2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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The Effects of Probiotics and Prebiotics on Gastrointestinal and Behavioural Symptoms in Autism Spectrum Disorder

2021

Background: Autism Spectrum Disorders (ASDs) are a group of prevalent neuropsychiatric disorders. They present a complex and unknown etiology, which in most cases includes significant peripheral alterations outside the brain such as in the composition of gut microbiota. Because the gut microbiota is involved in modulating the gut-brain axis, several studies have suggested that the microbiome in the gut can modify metabolites which are able to cross the blood-brain barrier and modulate brain function. Methods: We reviewed the current evidence regarding microbiota alterations in patients with ASD and the effects of the administration of probiotics and prebiotics in these patients, both in te…

Autism Spectrum DisorderSynbioticsmedicine.medical_treatmentGut–brain axisBehavioral SymptomsGut floraBioinformaticslaw.inventionProbioticlawmedicineHumansPharmacology (medical)MicrobiomeGeneral Pharmacology Toxicology and Pharmaceuticsbiologybusiness.industryProbioticsPrebioticbiology.organism_classificationmedicine.diseaseGastrointestinal MicrobiomePrebioticsAutism spectrum disorderAutismbusinessCurrent Reviews in Clinical and Experimental Pharmacology
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The clinical and molecular spectrum of QRICH1 associated neurodevelopmental disorder

2022

De novo variants in QRICH1 (Glutamine-rich protein 1) has recently been reported in 11 individuals with intellectual disability. The function of QRICH1 is largely unknown but it is likely to play a key role in the unfolded response of endoplasmic reticulum (ER) stress through transcriptional control of proteostasis. In this study, we present 27 additional individuals and delineate the clinical and molecular spectrum of the individuals (n=38) with QRICH1 variants. The main clinical features were mild to moderate developmental delay/intellectual disability (71%), non-specific facial dysmorphism (92%) and hypotonia (39%). Additional findings included poor weight gain (29%), short stature (29%)…

Autism Spectrum Disorder[SDV]Life Sciences [q-bio]DwarfismBiologyBioinformaticsWeight GainShort stature03 medical and health sciences0302 clinical medicineNeurodevelopmental disorderNeuroimagingSeizuresvariable expressivityIntellectual disabilityGeneticsmedicineMissense mutationHumansQRICH1hypotoniaGenetics (clinical)030304 developmental biology0303 health sciencesmedicine.diseaseQRICH1Hypotoniashort statureScoliosisvariantAutism spectrum disorderNeurodevelopmental Disordersintellectual disabilityMuscle Hypotoniamedicine.symptom030217 neurology & neurosurgery
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