Search results for "bioinformatics"

showing 10 items of 1632 documents

The role of FAS/FASLig and apoptosis in β-cell death in animal models: relevance for human IDDM

1998

Programmed cell deathEndocrinologyText miningbusiness.industryApoptosisEndocrinology Diabetes and MetabolismDiabetes mellitusMedicineRelevance (information retrieval)businessBioinformaticsmedicine.diseaseBiochemistryDiabetes / Metabolism Reviews
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Multi-output Model with Box-Jenkins Operators of Quadratic Indices for Prediction of Malaria and Cancer Inhibitors Targeting Ubiquitin- Proteasome Pa…

2016

The ubiquitin-proteasome pathway (UPP) is the primary degradation system of short-lived regulatory proteins. Cellular processes such as the cell cycle, signal transduction, gene expression, DNA repair and apoptosis are regulated by this UPP and dysfunctions in this system have important implications in the development of cancer, neurodegenerative, cardiac and other human pathologies. UPP seems also to be very important in the function of eukaryote cells of the human parasites like Plasmodium falciparum, the causal agent of the neglected disease Malaria. Hence, the UPP could be considered as an attractive target for the development of compounds with Anti-Malarial or Anti-cancer properties. R…

Proteasome Endopeptidase ComplexDNA repairDatabases PharmaceuticalAntineoplastic AgentsComputational biologyBioinformatics01 natural sciencesBiochemistryAntimalarialsUbiquitinNeoplasmsDrug DiscoveryHumansMolecular Targeted TherapyMolecular BiologybiologyDrug discoveryUbiquitinComputational BiologyCell BiologyGeneral MedicineCell cyclechEMBL0104 chemical sciencesMalaria010404 medicinal & biomolecular chemistryProteasomeProteolysisbiology.proteinSignal transductionFunction (biology)Current proteinpeptide science
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Disentangling the complexity of low complexity proteins

2020

Abstract There are multiple definitions for low complexity regions (LCRs) in protein sequences, with all of them broadly considering LCRs as regions with fewer amino acid types compared to an average composition. Following this view, LCRs can also be defined as regions showing composition bias. In this critical review, we focus on the definition of sequence complexity of LCRs and their connection with structure. We present statistics and methodological approaches that measure low complexity (LC) and related sequence properties. Composition bias is often associated with LC and disorder, but repeats, while compositionally biased, might also induce ordered structures. We illustrate this dichot…

Protein ConformationComputer scienceReview ArticleComputational biologyMeasure (mathematics)Evolution MolecularLow complexity03 medical and health sciencesProtein DomainsAmino Acid Sequencestructure[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biochemistry [q-bio.BM]Databases ProteinMolecular Biology030304 developmental biologyStructure (mathematical logic)0303 health sciencesSequence[SCCO.NEUR]Cognitive science/Neurosciencecomposition bias030302 biochemistry & molecular biologyProteinsdisorderlow complexity regionsStructure and function[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]AlgorithmsInformation SystemsBriefings in Bioinformatics
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Extracting similar sub-graphs across PPI Networks

2009

Singling out conserved modules (corresponding to connected sub-graphs) throughout protein-protein interaction networks of different organisms is a main issue in bioinformatics because of its potential applications in biology. This paper presents a method to discover highly matching sub-graphs in such networks. Sub-graph extraction is carried out by taking into account, on the one side, both protein sequence and network structure similarities and, on the other side, both quantitative and reliability information possibly available about interactions. The method is conceived as a generalization of a known technique, able to discover functional orthologs in interaction networks. Some preliminar…

Protein structure databaseBioinformatics network analysisProtein sequencingMatching (graph theory)GeneralizationComputer scienceReliability (computer networking)Protein function predictionGraph theoryData miningcomputer.software_genrecomputerNetwork analysis
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Experimental Evaluation of Protein Secondary Structure Predictors

2009

Understanding protein biological function is a key issue in modern biology, which is largely determined by its 3D shape. Protein 3D shape, in its turn, is functionally implied by its amino acid sequence. Since the direct inspection of such 3D structures is rather expensive and time consuming, a number of software techniques have been developed in the last few years that predict a spatial model, either of the secondary or of the tertiary form, for a given target protein starting from its amino acid sequence. This paper offers a comparison of several available automatic secondary structure prediction tools. The comparison is of the experimental kind, where two relevant sets of proteins, a non…

Protein structure databasebusiness.industryProtein structure predictionBioinformaticsMachine learningcomputer.software_genreSet (abstract data type)Bioinformatics Protein PredictionTest caseGlobal distance testArtificial intelligenceCASPbusinessPeptide sequencecomputerProtein secondary structure
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Prediction of a Missing Protein Expression Map in the Context of the Human Proteome Project

2015

Experimental evidence for the entire human proteome has been defined in the Human Proteome Project, and it is publicly available in the neXtProt database. However, there are still human proteins for which reliable experimental evidence does not exist, and the identification of such information has become one of the overriding objectives in the chromosome-centric study of the human proteome. With this aim and considering the complexity of protein detection using shotgun and targeted proteomics, the research community has addressed the integration of transcriptomics and proteomics landscapes. Here, we describe an analytical pipeline that predicts the probability of a missing protein being exp…

ProteomeNeXtProtMicroarrayProtein Array AnalysisProteinsShotgunGeneral ChemistryComputational biologyBiologyBioinformaticsProteomicsBiochemistryTranscriptomeGene expressionHuman proteome projectHumansTranscriptomeGeneJournal of Proteome Research
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Toward completion of the Earth’s proteome: an update a decade later

2017

Protein databases are steadily growing driven by the spread of new more efficient sequencing techniques. This growth is dominated by an increase in redundancy (homologous proteins with various degrees of sequence similarity) and by the incapability to process and curate sequence entries as fast as they are created. To understand these trends and aid bioinformatic resources that might be compromised by the increasing size of the protein sequence databases, we have created a less-redundant protein data set. In parallel, we analyzed the evolution of protein sequence databases in terms of size and redundancy. While the SwissProt database has decelerated its growth mostly because of a focus on i…

ProteomeOperations researchKnowledge Bases0206 medical engineering02 engineering and technologyComputational biologyBiology03 medical and health sciencesAnnotationProtein sequencingSequence Analysis ProteinThree-domain systemRedundancy (engineering)AnimalsHumansDatabases ProteinMolecular Biology030304 developmental biologySequence (medicine)0303 health sciencesComputational BiologyProteinsProtein superfamilyProteomeUniProtSoftware020602 bioinformaticsInformation SystemsBriefings in Bioinformatics
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Assessing the low complexity of protein sequences via the low complexity triangle.

2020

Background Proteins with low complexity regions (LCRs) have atypical sequence and structural features. Their amino acid composition varies from the expected, determined proteome-wise, and they do not follow the rules of structural folding that prevail in globular regions. One way to characterize these regions is by assessing the repeatability of a sequence, that is, calculating the local propensity of a region to be part of a repeat. Results We combine two local measures of low complexity, repeatability (using the RES algorithm) and fraction of the most frequent amino acid, to evaluate different proteomes, datasets of protein regions with specific features, and individual cases of proteins…

ProteomeProteomesComputer scienceProtein SequencingBiochemistryDatabase and Informatics MethodsSequence Analysis ProteinProtein methodsPeptide sequencechemistry.chemical_classification0303 health sciencesSequenceMultidisciplinary030302 biochemistry & molecular biologyQRGenomicsAmino acidTandem RepeatsProteomeAmino Acid AnalysisMedicineSequence AnalysisResearch ArticleRepetitive Sequences Amino AcidBioinformaticsSequence analysisScienceResearch and Analysis MethodsGenome Complexity03 medical and health sciencesProtein DomainsAmino Acid Sequence AnalysisTandem repeatGeneticsHumansFraction (mathematics)Repeated SequencesAmino Acid SequenceMolecular Biology TechniquesSequencing TechniquesRepresentation (mathematics)Molecular Biology030304 developmental biologyMolecular Biology Assays and Analysis Techniquesbusiness.industryBiology and Life SciencesProteinsComputational BiologyPattern recognitionchemistryGlobular ProteinsArtificial intelligencebusinessPLoS ONE
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Identification of Prostate-Enriched Proteins by In-depth Proteomic Analyses of Expressed Prostatic Secretions in Urine

2012

Urinary expressed prostatic secretion or "EPS-urine" is proximal tissue fluid that is collected after a digital rectal exam (DRE). EPS-urine is a rich source of prostate-derived proteins that can be used for biomarker discovery for prostate cancer (PCa) and other prostatic diseases. We previously conducted a comprehensive proteome analysis of direct expressed prostatic secretions (EPS). In the current study, we defined the proteome of EPS-urine employing Multidimensional Protein Identification Technology (MudPIT) and providing a comprehensive catalogue of this body fluid for future biomarker studies. We identified 1022 unique proteins in a heterogeneous cohort of 11 EPS-urines derived from …

Proteomics prostate cancer expressed prostatic secretions urineMaleProteomicsProstatic DiseasesProteomeProstatic Secretory ProteinsHuman Protein AtlasComputational biologyProstatic DiseasesBiologyProteomicsBioinformaticsBiochemistryArticleMass SpectrometryProstate cancerSettore BIO/13 - Biologia ApplicataProstatemedicineHumansBiomarker discoveryDatabases ProteinChromatography High Pressure LiquidGene Expression ProfilingProstateProstatic NeoplasmsProstatic Secretory ProteinsReproducibility of ResultsGeneral Chemistrymedicine.diseasemedicine.anatomical_structureCase-Control StudiesProteomeJournal of Proteome Research
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Toward the Standardization of Mitochondrial Proteomics: The Italian Mitochondrial Human Proteome Project Initiative

2017

The Mitochondrial Human Proteome Project aims at understanding the function of the mitochondrial proteome and its crosstalk with the proteome of other organelles. Being able to choose a suitable and validated enrichment protocol of functional mitochondria, based on the specific needs of the downstream proteomics analysis, would greatly help the researchers in the field. Mitochondrial fractions from ten model cell lines were prepared using three enrichment protocols and analyzed on seven different LC-MS/MS platforms. All data were processed using neXtProt as reference database. The data are available for the Human Proteome Project purposes through the ProteomeXchange Consortium with the iden…

Proteomics0301 basic medicineProteomeStandardizationComputational biologyBiologyMitochondrionProteomicsBioinformaticsBiochemistryenrichment protocol; mitochondria; Mitochondrial Human Proteome Project; standardization;Cell LineMitochondrial Proteins03 medical and health sciences0302 clinical medicineTandem Mass SpectrometryHuman proteome projectHumansProtein Interaction MapsSettore BIO/10 - BIOCHIMICAMitochondrial proteinstandardizationChromatographyLiquidNeXtProtChemistry (all)General Chemistrymitochondria030104 developmental biologyItalyenrichment protocolProteomeReference databaseMitochondrial Human Proteome Projectenrichment protocol; mitochondria; Mitochondrial Human Proteome Project; standardization; Cell Line; Chromatography Liquid; Humans; Italy; Mitochondria; Mitochondrial Proteins; Protein Interaction Maps; Proteome; Proteomics; Tandem Mass Spectrometry; Biochemistry; Chemistry (all)030217 neurology & neurosurgeryChromatography Liquid
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