Search results for "Bioinformatics"

showing 10 items of 1632 documents

Potential Biomarkers Associated with Multiple Sclerosis Pathology

2021

Multiple sclerosis (MS) is a complex disease of the central nervous system (CNS) that involves an intricate and aberrant interaction of immune cells leading to inflammation, demyelination, and neurodegeneration. Due to the heterogeneity of clinical subtypes, their diagnosis becomes challenging and the best treatment cannot be easily provided to patients. Biomarkers have been used to simplify the diagnosis and prognosis of MS, as well as to evaluate the results of clinical treatments. In recent years, research on biomarkers has advanced rapidly due to their ability to be easily and promptly measured, their specificity, and their reproducibility. Biomarkers are classified into several categor…

QH301-705.5diagnosticInflammationReviewBioinformaticsmultiple sclerosisCatalysisInorganic ChemistryBlood serummedicineHumanspredictivePhysical and Theoretical ChemistryRemyelinationbiomarkers diagnostic multiple sclerosis predictive prognosis treatment response monitoringBiology (General)Molecular BiologyPathologicalQD1-999SpectroscopyInflammationbusiness.industryMultiple sclerosisOrganic ChemistryNeurodegenerationReproducibility of ResultsbiomarkersGeneral Medicinemedicine.diseaseComputer Science ApplicationsChemistrymedicine.anatomical_structureGliosisDisease ProgressionBiomarker (medicine)prognosismedicine.symptombusinesstreatment response monitoringInternational Journal of Molecular Sciences
researchProduct

Exploring the Role of Skeletal Muscle in Insulin Resistance: Lessons from Cultured Cells to Animal Models

2021

Skeletal muscle is essential to maintain vital functions such as movement, breathing, and thermogenesis, and it is now recognized as an endocrine organ. Muscles release factors named myokines, which can regulate several physiological processes. Moreover, skeletal muscle is particularly important in maintaining body homeostasis, since it is responsible for more than 75% of all insulin-mediated glucose disposal. Alterations of skeletal muscle differentiation and function, with subsequent dysfunctional expression and secretion of myokines, play a key role in the pathogenesis of obesity, type 2 diabetes, and other metabolic diseases, finally leading to cardiometabolic complications. Hence, a de…

QH301-705.5glucose metabolismAdipose tissueReviewType 2 diabetesCarbohydrate metabolismMuscle DevelopmentBioinformaticsCatalysisInorganic ChemistryInsulin resistanceMyokineAnimalsHumansMedicinePhysical and Theoretical ChemistryBiology (General)Muscle SkeletalMolecular BiologyQD1-999Spectroscopybusiness.industryOrganic ChemistrySkeletal musclefree fatty acidsGeneral Medicinemedicine.diseaseComputer Science Applicationsadipose tissueglycemiaDisease Models AnimalChemistrymedicine.anatomical_structureDiabetes Mellitus Type 2Adipose tissue Free fatty acids Glucose metabolism Glycemia Myofibers Animals Diabetes Mellitus Type 2 Humans Muscle Skeletal Disease Models Animal Insulin Resistance Muscle DevelopmentInsulin ResistancebusinessThermogenesismyofibersHomeostasisInternational Journal of Molecular Sciences
researchProduct

Crystal structure of 1-ferrocenyl-2-(4-methyl-benzo-yl)spiro-[11H-pyrrolidizine-3,11'-indeno[1,2-b]quinoxaline].

2014

In the title compound the four-fused-rings system is approximately planar and the pyrrolidine rings of the pyrrolidizine fragment adopt a twist conformation. In the crystal, mol­ecules are linked by C—H⋯O hydrogen bonds and C—H⋯π inter­actions, forming double-chains parallel to the c axis.

Quantitative Biology::Biomoleculescrystal structureCrystallographyChemistryHydrogen bondGeneral ChemistryCrystal structureDihedral angleCondensed Matter PhysicsRing (chemistry)BioinformaticsPyrrolidineferrocen­ylferrocenylResearch CommunicationsCrystalchemistry.chemical_compoundCrystallographyQuinoxalineQD901-999quinoxalinepyrrolidizinehydrogen bondsGeneral Materials ScienceBenzeneActa crystallographica. Section E, Structure reports online
researchProduct

Novel Cancer Chemotherapy Hits by Molecular Topology: Dual Akt and Beta-Catenin Inhibitors

2015

Background and purposeColorectal and prostate cancers are two of the most common types and cause of a high rate of deaths worldwide. Therefore, any strategy to stop or at least slacken the development and progression of malignant cells is an important therapeutic choice. The aim of the present work is the identification of novel cancer chemotherapy agents. Nowadays, many different drug discovery approaches are available, but this paper focuses on Molecular Topology, which has already demonstrated its extraordinary efficacy in this field, particularly in the identification of new hit and lead compounds against cancer. This methodology uses the graph theoretical formalism to numerically chara…

Quantitative structure–activity relationshipCell SurvivalColorectal cancerScienceQuantitative Structure-Activity RelationshipAntineoplastic AgentsComputational biologyBiologyBioinformaticsProstate cancerCell Line TumorNeoplasmsDrug DiscoverymedicineHumansProtein Kinase InhibitorsProtein kinase Bbeta CateninPI3K/AKT/mTOR pathwayBiological ProductsMultidisciplinaryMolecular StructureDrug discoveryTOR Serine-Threonine KinasesQRBiological activitymedicine.diseaseMedicineTOR Serine-Threonine KinasesProto-Oncogene Proteins c-aktSignal TransductionResearch ArticlePLOS ONE
researchProduct

Antiprotozoan lead discovery by aligning dry and wet screening: Prediction, synthesis, and biological assay of novel quinoxalinones

2014

Protozoan parasites have been one of the most significant public health problems for centuries and several human infections caused by them have massive global impact. Most of the current drugs used to treat these illnesses have been used for decades and have many limitations such as the emergence of drug resistance, severe side-effects, low-to-medium drug efficacy, administration routes, cost, etc. These drugs have been largely neglected as models for drug development because they are majorly used in countries with limited resources and as a consequence with scarce marketing possibilities. Nowadays, there is a pressing need to identify and develop new drug-based antiprotozoan therapies. In …

Quantitative structure–activity relationshipClinical BiochemistryAntiprotozoal AgentsQuantitative Structure-Activity RelationshipPharmaceutical ScienceLinear classifierBioinformaticsMachine learningcomputer.software_genreBiochemistryQuinoxalinesMolecular descriptorDrug DiscoveryBioassayMolecular BiologyVirtual screeningMolecular Structurebusiness.industryChemistryOrganic ChemistryBenchmark databaseDrug developmentCyclizationMolecular MedicineIn silico StudyArtificial intelligenceTOMOCOMD-CARDD SoftwarebusinessClassifier (UML)computer
researchProduct

QSAR methods for the discovery of new inflammatory bowel disease drugs

2013

Inflammatory bowel disease (IBD) represents an important class of chronic gastrointestinal tract disease. And although there are already several useful treatments to reduce and control the symptoms, there is still no cure. One drug discovery technique used is the computer-aided (in silico) discovery approach which has largely demonstrated efficacy. Computational techniques, when used in combination with traditional drug discovery methodology, greatly increase the chance of drug discovery in a sustainable and economical fashion.This review aims to provide the most recent and important advances of in silico IBD drug discovery. While this review is mainly focused on QSAR methods, especially th…

Quantitative structure–activity relationshipCrohn's diseaseDrug discoverybusiness.industryIn silicoQuantitative Structure-Activity RelationshipDiseaseInflammatory Bowel Diseasesmedicine.diseaseBioinformaticsUlcerative colitisInflammatory bowel diseaseDrug DiscoverymedicineComputer-Aided DesignHumansMolecular topologybusinessExpert Opinion on Drug Discovery
researchProduct

QSAR multi-target in drug discovery: a review.

2013

The main purpose of the present review is to summarize the most significant works up to date in the field of multi-target QSAR (mt-QSAR), in order to emphasize the importance that this technique has acquired over the last decade. Unlike traditional QSAR techniques, mt-QSAR permits to calculate the probability of activity of a given compound against different biological or pharmacological targets. In simple terms, a single equation for multiple outputs. To emphasize more the importance of the mt-QSAR in the field of drug discovery, we also present a novel mt-QSAR model, made on purpose by our research group, for the prediction of the susceptibility of Gram + and Gram - anaerobic bacteria.

Quantitative structure–activity relationshipDrug discoveryQuantitative Structure-Activity RelationshipGeneral MedicineComputational biologyBiologyBioinformaticsMulti targetDrug DiscoverySingle equationMolecular MedicineAnimalsHumansAnaerobic bacteriaMolecular Targeted TherapyAlgorithmsProbabilityCurrent computer-aided drug design
researchProduct

Predictive modeling of aryl hydrocarbon receptor (AhR) agonism

2020

Abstract The aryl hydrocarbon receptor (AhR) plays a key role in the regulation of gene expression in metabolic machinery and detoxification systems. In the recent years, this receptor has attracted interest as a therapeutic target for immunological, oncogenic and inflammatory conditions. In the present report, in silico and in vitro approaches were combined to study the activation of the AhR. To this end, a large database of chemical compounds with known AhR agonistic activity was employed to build 5 classifiers based on the Adaboost (AdB), Gradient Boosting (GB), Random Forest (RF), Multilayer Perceptron (MLP) and Support Vector Machine (SVM) algorithms, respectively. The built classifier…

Quantitative structure–activity relationshipEnvironmental EngineeringSupport Vector MachineHealth Toxicology and MutagenesisIn silico0208 environmental biotechnologyContext (language use)02 engineering and technologyComputational biology010501 environmental sciences01 natural scienceschemistry.chemical_compoundPhenolsBasic Helix-Loop-Helix Transcription FactorsEnvironmental ChemistryAnimalsHumans[CHIM]Chemical SciencesComputer SimulationBenzothiazolesProspective StudiesReceptorComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesRegulation of gene expressionbiologyChemistryPublic Health Environmental and Occupational HealthRobustness (evolution)General MedicineGeneral ChemistryAryl hydrocarbon receptorPollution020801 environmental engineering3. Good healthBenzothiazoleReceptors Aryl Hydrocarbonbiology.proteinNeural Networks Computer[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]Algorithms[CHIM.CHEM]Chemical Sciences/Cheminformatics
researchProduct

Molecular modelling and QSAR in the discovery of HIV-1 integrase inhibitors

2007

The treatment regimens for the HIV-1 have mainly included reverse transcriptase or protease inhibitors but their long-term clinical utility is limited by severe side effects and viral drug resistance. A new attractive target for chemotherapeutic intervention can be the Integrase enzyme, that mediates the integration of HIV-1 DNA into a host chromosome, for which there is no known counterparts in the host cell. A number of derivatives have been found to inhibit IN in in vitro assays, but no successful drug based on them has emerged so far, although many compounds have been proposed. Moreover most of the inhibitors do not belong to a very precise structural class: this fact makes these compou…

Quantitative structure–activity relationshipProteasebiologymedicine.medical_treatmentIntegrase inhibitorDrug designGeneral MedicineComputational biologyDe novo design Docking HIV-1 integrase inhibitors Molecular dynamics Molecular modelling Pharmacophore QSARBioinformaticsIntegraseDocking (molecular)Host chromosomeDrug Discoverybiology.proteinmedicineMolecular MedicinePharmacophore
researchProduct

Impact of nutraceuticals on markers of systemic inflammation: Potential relevance to cardiovascular diseases - A position paper from the Internationa…

2021

Inflammation is a marker of arterial disease stemming from cholesterol-dependent to -independent molecular mechanisms. In recent years, the role of inflammation in atherogenesis has been underpinned by pharmacological approaches targeting systemic inflammation that have led to a significant reduction in cardiovascular disease (CVD) risk. Although the use of nutraceuticals to prevent CVD has largely focused on lipid-lowering (e.g, red-yeast rice and omega-3 fatty acids), there is growing interest and need, especially now in the time of coronavirus pandemic, in the use of nutraceuticals to reduce inflammatory markers, and potentially the inflammatory CVD burden, however, there is still not en…

RMArterial diseaseAnti-Inflammatory AgentsInflammationDiseaseC-reactive protein ; cardiovascular disease ; inflammation ; nutraceuticals ; omega-3 ; position paper ; red-yeast rice030204 cardiovascular system & hematologyBioinformaticsSystemic inflammationC-reactive protein03 medical and health sciences0302 clinical medicineNutraceuticalMedicineHumansPosition paper030212 general & internal medicineUncategorizedOmega-3InflammationbiologyC-reactive protein; Cardiovascular disease; Inflammation; Nutraceuticals; Omega-3; Position paper; Red-yeast rice; Anti-Inflammatory Agents; Biomarkers; Cardiovascular Diseases; Humans; Inflammation; Lipids; Dietary SupplementsVascular inflammationbusiness.industryC-reactive proteinC-reactive protein Cardiovascular disease Inflammation Nutraceuticals Omega-3 Position paper Red-yeast rice Anti-Inflammatory Agents Biomarkers Cardiovascular Diseases Humans Inflammation Lipids Dietary SupplementsCardiovascular diseaseRed-yeast riceLipidsCardiovascular DiseasesDietary Supplementsbiology.proteinPosition paperNutraceuticalsNutraceuticalmedicine.symptomCardiology and Cardiovascular MedicinebusinessBiomarkersProgress in cardiovascular diseases
researchProduct