0000000001249749

AUTHOR

Tommaso Ascoli Bartoli

showing 3 related works from this author

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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Additional file 2 of COVID-19: viral–host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection

2020

Additional file 2: Figure S1. Pairwise distances along 259 full length CoV genomes. In the bottom of picture, indicative gene positioning along CoVs genomes is reported. The list of all considered genomes is reported in Additional file 1: Table S1. Figure S2. 3D structure of S-glycoprotein of SARS-CoV-2 and comparison with the ortholog from HCoV-229E, SARS-CoV, and MERS-CoV. Lateral (a) and superior (b) representation of SARS-CoV-2 S-glycoprotein, deducted for the sequence of patient INMI1 (MT066156.1). Each subunit chain has a different color. Structure comparison of S-glycoprotein subunit between: HCoV-229E and SARS-CoV-2, in purple and blue respectively (c); SARS-CoV and SARS-CoV-2, in r…

virusesvirus diseasesrespiratory systembiochemical phenomena metabolism and nutritionrespiratory tract diseases
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Additional file 1 of COVID-19: viral–host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection

2020

Additional file 1: Table S1. List of accession numbers of H-CoV. Table S2. List of genes selected by RWR algorithm for HCoV-229E, along with proximity score. Table S3. List of genes selected by RWR algorithm for SARS-CoV, along with proximity score. Table S4. List of genes selected by RWR algorithm for MERS-CoV, along with proximity score.

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