Search results for "bioinformatics"

showing 10 items of 1632 documents

Targeting the Sortase A Transpeptidase to Tackle Gram-positive Pathogens

2013

The virulence factors include the cell-wall associated proteins called MSCRAMMs (microbial surface components recognizing adhesive matrix molecules) that can promote the adhesion to host proteins, for example, the fibronectin that is very common in host tissues. The cellwall associated proteins are necessary for host colonization, invasion, immune evasion and biofilm formation [4]. The biofilms, multistratified bacterial communities that grow on a biological or artificial surface, are responsible for chronic infectious diseases and for device or biomaterial associated infections, and are more resistant to host immune defence system and to conventional antibiotics [5].

biologymedicine.drug_classHost (biology)AntibioticsBiofilmVirulenceMatrix (biology)Settore BIO/19 - Microbiologia GeneraleBioinformaticsApplied Microbiology and BiotechnologyBiochemistryMicrobiologyMicrobiologyFibronectinSortase A antivirulence drugs Gram positiveImmune systemSortase Amedicinebiology.proteinBiotechnologyJournal of Microbial & Biochemical Technology
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Multi-omics analysis of epithelial-to mesenchymal transition mediators in breast cancer

2022

breast cancer bioinformatics proteomic analysis vimentin cadherinSettore BIO/06 - Anatomia Comparata E Citologia
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Haematopoietic stem cell transplantation in the treatment of autoimmune diseases: current experience from an international data base.

2000

business.industry030232 urology & nephrologyBiomedical EngineeringHematopoietic Stem Cell TransplantationMedicine (miscellaneous)BioengineeringGeneral Medicine030204 cardiovascular system & hematologyBioinformaticsAutoimmune DiseasesBiomaterialsTransplantation03 medical and health sciencesHaematopoiesisDisease Models Animal0302 clinical medicineImmunologyMedicineAnimalsHumansRegistriesStem cellbusinessBase (exponentiation)The International journal of artificial organs
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Is it the time of seno-therapeutics application in cardiovascular pathological conditions related to ageing?

2021

It rates that in 2030, the cardiovascular diseases (CVD) will result in 40% of all deaths and rank as the leading cause. Thus, the research of appropriate therapies able to delay or retard their onset and progression is growing. Of particular interest is a new branch of the medical science, called anti-ageing medicine since CVD are the result of cardiovascular ageing. Senescent cells (SC) accumulate in cardiovascular system contributing to the onset of typical age-related cardiovascular conditions (i.e., atherosclerosis, medial aorta degeneration, vascular remodeling, stiffness). Such conditions progress in cardiovascular pathologies (i.e., heart failure, coronary artery disease, myocardial…

business.industryAnti-ageing medicineSenolyticsCVD Anti-ageing medicine Senotherapeutics Senolytics SenomorphicsReview ArticleDegeneration (medical)RM1-950medicine.diseaseBioinformaticsCVDPhenotypeProinflammatory cytokineCoronary artery diseaseAgeingSenotherapeuticsHeart failureGeneral Earth and Planetary SciencesMedicineSettore MED/05 - Patologia ClinicaMyocardial infarctionSenomorphicsTherapeutics. PharmacologybusinessPathologicalGeneral Environmental Science
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Network pharmacology of natural products for cancer therapy

2018

business.industryApplied MathematicsGeneral MathematicsNetwork pharmacologyCancer therapyMedicineBioinformaticsbusinessNatural (archaeology)Proceedings for Annual Meeting of The Japanese Pharmacological Society
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Opioid Poorly-Responsive Cancer Pain. Part 2

2001

Basic research in experimental pain models may illuminate the phenomenon of cancer pain that is poorly responsive to opioid drugs. Research findings can be valuable in formulating new strategies in clinical practice. This review evaluated experimental observations in terms of the events that occur in cancer patients receiving opioid therapy for pain.

business.industryCancerBioinformaticsmedicine.diseaseResearch findingsAnesthesiology and Pain MedicineOpioidDrug toleranceBasic researchAnesthesiaNeuropathic painHyperalgesiamedicineNeurology (clinical)medicine.symptombusinessCancer painGeneral Nursingmedicine.drugJournal of Pain and Symptom Management
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0393: Impact of miR-378* and its target desmin intermediate filament on mitochondria distribution in cardiomyocytes

2014

Background MiR-378 and miR-378* microRNAs are derived from an intron of the PGC-1β gene, a regulator of mitochondrial biogenesis. Their expression is either repressed or increased during heart failure depending on the model. Through proteomics approaches, we previously identified new targets of these miRs in H9c2 fetal cardiomyoblasts, among which lactate dehydrogenase for miR-378 and key cytoskeletal proteins for miR-378*. Aims To better assess its role in energy metabolism and differentiation; we overexpressed miR-378 and miR-378* in primary neonate rat cardiomyocytes (NRC) that are more differentiated and less proliferative than H9c2 cardiomyoblasts. Results We identified desmin as a new…

business.industryCellMitochondrionBioinformaticsProteomicsCell biologymedicine.anatomical_structureMitochondrial biogenesismicroRNAMedicineDesminCardiology and Cardiovascular MedicinebusinessCytoskeletonIntermediate filamentArchives of Cardiovascular Diseases Supplements
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The role of mycotoxins in neurodegenerative diseases: current state of the art and future perspectives of research

2021

Abstract Mycotoxins are fungal metabolites that can cause various diseases in humans and animals. The adverse health effects of mycotoxins such as liver failure, immune deficiency, and cancer are well-described. However, growing evidence suggests an additional link between these fungal metabolites and neurodegenerative diseases. Despite the wealth of these initial reports, reliable conclusions are still constrained by limited access to human patients and availability of suitable cell or animal model systems. This review summarizes knowledge on mycotoxins associated with neurodegenerative diseases and the assumed underlying pathophysiological mechanisms. The limitations of the common in vivo…

business.industryClinical BiochemistryFungiLiver failureNeurotoxicityfood and beveragesNeurodegenerative DiseasesMycotoxinsBioinformaticsmedicine.diseaseBiochemistryLimited accesschemistry.chemical_compoundAnimal modelchemistryAdverse health effectAnimalsHumansMedicinebusinessMycotoxinMolecular BiologyBiological Chemistry
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Experimental evaluation of topological-based fitness functions to detect complexes in PPI networks

2012

The detection of groups of proteins sharing common biological features is an important research issue, intensively investigated in the last few years, because of the insights it can give in understanding cell behavior. In this paper we present an extensive experimental evaluation campaign aiming at exploring the capability of Genetic Algorithms (GAs) to find clusters in protein-protein interaction networks, when different topological-based fitness functions are employed. A complete experimentation on the yeast protein-protein interaction network, along with a comparative evaluation of the effectiveness in detecting true complexes on the yeast and human networks, reveals GAs as a feasible an…

business.industryComputer scienceCellMachine learningcomputer.software_genreTopologyYeastBioinformatics network analysisComputingMethodologies_PATTERNRECOGNITIONmedicine.anatomical_structureInteraction networkGenetic algorithmmedicineArtificial intelligencebusinesscomputerProceedings of the 14th annual conference on Genetic and evolutionary computation
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A one class classifier for Signal identification: a biological case study

2008

The paper describes an application of a one-class KNN to identify different signal patterns embedded in a noise structured background. The problem become harder whenever only one pattern is well represented in the signal, in such cases one class classifier techniques are more indicated. The classification phase is applied after a preprocessing phase based on a Multi Layer Model (MLM) that provides a preliminary signal segmentation in an interval feature space. The one-class KNN has been tested on synthetic data that simulate microarray data for the identification of nucleosomes and linker regions across DNA. Results have shown a good recognition rate on synthetic data for nucleosome and lin…

business.industryComputer scienceFeature vectorOne-class classificationPattern recognitionSegmentationArtificial intelligencebusinessMulti Layer Method One Class classification Bioinformatics Nucleosome Positioning.Classifier (UML)Synthetic data
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