Investigations
What is an Investigation?Filters
The investigation entails the construction and validation of a detailed mathematical model for glycolysis erythrocytes infected with the malaria parasite Plasmodium falciparum in the blood stage form.
Submitter: Dawie van Niekerk
Studies: Analysis of model for malaria-infected erythrocytes, Intra-erythrocytic malaria parasite volumes, Validation of model for malaria-infected erythrocytes
Assays: Flux vs external glucose, Flux vs parasitaemia, GLC incubation, Inhibition of glycolytic flux, Malaria parasite volume determinations, Metabolic control analysis, Stage specific fluxes, Steady-state
Submitter: Charles Demurjian
Studies: Integrating endometrial proteomic and single cell transcriptomic pipelin..., Organoid co-culture model of the cycling human endometrium in a fully-de...
Assays: All Metadata, All Metadata, Cell Culture Imaging - Data Linked, Cell Culture and Organoid Generation - Metadata, DNA Extraction - Metadata, DNA Extraction - Metadata, Elisa - Data Linked, Gene Expression Analysis - Data Linked, Immunohistochemistry - Data Linked, Linear Mixed Model - Data Linked, Luminex - Data Linked, Mass Spectrometry Proteomics - Data Linked, Mass Spectrometry Proteomics Analysis - Data Linked, Patient Visit - Metadata, Patient Visit - Metadata, Short Read Sequencing - Data Linked, Single Cell Expression Matrix Analysis - Data Linked, Single Cell Sequencing - Data Linked, Tissue Collection - Metadata, Tissue Collection - Metadata
Submitter: Christoff Odendaal
Studies: Model analysis, Model construction, Model validation
Assays: ACAD activity partitioning, Comparing acyl-CoA dehydrogenase deficiencies, HepG2 oxygen consumption, Kinetics Minireviews, MCADD patient personalised modelling, MCADD rescue titration, Metabolic control analysis, Models, Predicting urinary acylcarnitines under metabolic decompensation., Whole-body ketogenic flux
User metadata is an essential part of experimental data. Scientists need to understand underlying conditions and experimental procedures in order to model or investigate relevant biological questions. Currently, only a small fraction of the High Content SCreening (HCS) investigations are deposited for reuse by the community, and an even smaller fraction of that data is standards-compliant. For reusing data, scientists need to be able to understand how data was generated, under which experimental ...
Submitter: Katy Wolstencroft
Studies: MIHCSME templates
Assays: General MIHCSME template, MIHCSME template example for "Integration of biological data by kernels ..., MIHCSME template example for "Uncovering the signaling landscape control..., MIHCSME template example for compound screen on HepG2 CHOP-GFP reporter ..., MIHCSME template example for “Temporal single cell cellular stress respo...
Submitter: Charles Demurjian
Studies: Impact of fibrinogen, fibrin thrombi and thrombin on cancer cell extrava..., Personalized Vascularized Models of Breast Cancer Desmoplasia Reveal Bio..., Utilizing convolutional neural networks for discriminating cancer and st...
Assays: Cancer Cell Extravasation Analysis - Data Linked, Cell Culture and Tumor Spheroid Creation - Metadata, Clot Modeling Analysis - Data Linked, Convolutional Neural Network - Data Linked, Device Creation - Metadata, Device Creation - Metadata, Device Imaging - Data Linked, Device Imaging - Data Linked, Device Imaging - Metadata, Flow Cytometry - Data Linked, Flow Cytometry Analysis - Data Linked, Imaging Analysis - Data Attached, Microfluidic Device Creation - Metadata, Permeability Analysis - Data Linked, Tumoroid Formation - Metadata
Design, synthesis, computational studies and biological evaluation of antiparasitic dinitroaniline-ether phospholipid hybrids
Submitter: Ina Poehner
Studies: Computational identification of potential dinitroaniline binding sites i..., Docking studies of trifluraline and the dinitroaniline-etherphospholipid...
Assays: Comparative electrostatic analysis of dinitroaniline-sensitive and -resi..., Induced-fit docking studies, Multiple sequence alignment, Preparation of multimeric tubulin docking receptors
Virtual Tissues (VTs) are multi-scale, multi-cellular, mechanistic Agent Based Models (ABMs) that predict the spatio-temporal dynamics of biological tissues. While multiple platforms exist for constructing and executing VT models (listed below in the section on VT Modeling Frameworks), models developed for different platforms are currently incompatible and not accessible or executable in a common location, impeding model discovery, validation and reuse. FAIRSPACE will initially provide support ...
This investigation serves as supplementary material for a SWAT4HCLS publication that describes minimum metadata and provenance requirements for reproducible enrichment analysis results.
Functional enrichment analysis is an essential downstream process in high throughput omics studies, such as transcriptomics and proteomics. By using the Gene Ontology (GO) and its annotations (GOA), underlying functional patterns of over-representation can be identified, leading to ...
Aims: The immune response is important for mediating the benefit of cardiac cell therapies. The role of varied immune responses in influencing the outcome of cardiomyocyte cell transplantation after myocardial infarction was investigated. Methods and Results: Cardiac flow cytometric analysis of C57BL/6J and T- and B cell deficient Rag2del mice revealed varied CD11b, natural killer and dendritic cell responses following sham injection and a disparate macrophage response after myocardial infarction. ...
Submitter: Markus Wolfien
Studies: Single nuclei data analysis
Data, FMv2 model and simulations for the Chew et al. 2017 paper (bioRxiv https://doi.org/10.1101/105437 ), updated in 2022, mostly on the prr7 prr9 double mutant, with controls in lsf1 and prr7 single mutants. This is one of the outputs from the EU FP7 TiMet project, https://fairdomhub.org/projects/92.
This data archive was updated during submisson to the journal _in Silico _Plants in 2022, and a Snapshot was published. The updates are not changing the core data or the FMv2 model that has been ...
Submitter: Andrew Millar
Studies: Analysis of Framework Model version 2 (FMv2), Construction of Framework Model version 2 (FMv2), Test of FMv2, follow-on: mechanisms of malate/fumarate accumulation, Test of FMv2, photoperiodic flowering and hypocotyl elongation, Test of FMv2, study Gibberellins 1, Test of FMv2, study Laurel & Hardy 1, Test of FMv2, study Laurel & Hardy 2, Test of FMv2, study Laurel & Hardy 3, Tests of FMv2, compilations and figures
Assays: Assimilation and partitioning of 14CO2 at night, Biomass and metabolites, Biomass and metabolites, Biomass and metabolites, Biomass, leaf area and gas exchange data, Biomass, leaf number and metabolites, Circadian period analysis, Composition of FMv2, FMv2 simulation, FMv2 simulation, FMv2 simulation, Mizuno lab, Flowering time in clock mutants, Mizuno lab, Hypocotyl length in clock mutants, Relationship among FMv2 outputs, Sensitivity analysis of FMv2, Simulating clock gene expression with model P2011.1.2, Thiamine vitamers, TiMet WP1.1, Clock gene expression in clock mutants, TiMet WP1.1a Metabolite analysis of clock mutants
Short Name: T21_SXPsysbio Title: Use a systems biology approach to identify regulatory bottlenecks in SxPv1 Description: Samples from SXPv1.0 plants as well as sister nulls (progeny from the original transgenic event in which the transgene has segregated) and wild type will be grown and leaf samples taken for RNA extraction and profiling of primary metabolites and volatiles (target pheromones as well as potential derivatives) (P1, P5). Phenotypic and GC-MS data will be obtained and analysed from ...
Submitter: Marko Petek
Studies: Investigation files, _S_P1_SPv10T0andT1, _S_P1_SPv10T2andT3, _S_P1_SPv1TransientExp, _S_P1_SxPAltAcTransferases, _S_P1_SxPv10vsSxP12, _S_P1_SxPv12T2, _S_P4_CoExpNetViz, _S_P4_DiNAR, _S_P4_GAtreat, _S_P4_SxP10-newG-DE, _S_P4_SxP10-oldG-DE, _S_P4_SxP1012-finalG, _S_P4_SxP12-newG-DE
Assays: _A_00_SxP_photos-phenotyping, _A_01_RNA1-RNAisol, _A_01_SxP_Data_Only-CoExp, _A_01_SxPv12_fastq-QC, _A_01_mapping-CLC, _A_01_toNewGenome-CLC-mapping, _A_02_FastQC-bioinfo, _A_02_Nb_datasets-CoExp, _A_02_SxPv12_mapping-CLC, _A_02_limmavoomDE-R, _A_02a_limmavoom-multim-R, _A_02a_limmavoomDEbylines-R, _A_02b_limmavoom-uniquem-R, _A_03_MapMan-visualisation, _A_03_NewGenome-MapMan, _A_03_SxPv12_limmavoom_DE-R, _A_03_mapping-CLC, _A_03a_mapping2-STAR, _A_04_GSEA-Stat, _A_04_MapManBINenrich-GSEA, _A_04_Mercator-bioinfo, _A_04_SxPv12_GeneSetEnrichment-RNAseg-GSEA, _A_05_DEstat-R, _A_05_Phenotype_analysis-Stat, _A_05_VOCcomp-Bioinfo, _A_05a_DEstat2-R, _A_05b_DElow-wt-R, _A_06_MapMan-bioinfo, _A_06_SxPv1-0_Illumina-Centrifuge, _A_07_NbAUSv1-0-InterPro, _A_07_transgenes-CLC, _A_CKN-DiNAR, _A_CKN_NbL35-DiNAR, _A_LeavesSxPv10vsv12-GCMS, _A_P4_v10v12-phenotyping, _A_PIS-DiNAR, _A_PIS-SxPv12-DiNAR, _A_PIS_NbL35-DiNAR, _A_RootsSxPv10vsv12-GCMS, _A_SP10T0Analysis-GCMS, _A_SP10T1Analysis-GCMS, _A_SPv10EaDActAnalysis-GCMS, _A_SPv10T2Analysis-GCMS, _A_SPv10T3Analysis-GCMS, _A_SPv10_phenotyping-Images, _A_SxPAlternativeAcetyltransferases-GCMS, _A_SxPv10vsv12-phenotyping, _A_SxPv12ScreeningT2-GCMS, _A_TransientSPv11andSPv12-GCMS, _I_T21_SXPsysbio-files, _S_P1_SPv10T0andT1-files, _S_P1_SPv10T2andT3-files, _S_P1_SPv1TransientExp-files, _S_P1_SxPAltAcTransferases-files, _S_P1_SxPv10vsSxP12-files, _S_P1_SxPv12T2-files, _S_P4_CoExpNetViz-files, _S_P4_DiNAR-files, _S_P4_GAtreat-files, _S_P4_SxP10-newG-DE-files, _S_P4_SxP10-oldG-DE-files, _S_P4_SxP1012-finalG-files, _S_P4_SxP12-newG-DE-files
We performed topological analysis on pathways from a harmonised dataset containing pathways from the COVID-19 Disease Map, WikiPathways, and Reactome. The analysis was done using Vanted, SBGN-ED, and LMME which support the import and export of several standard formats (such as SBML, and SBGN-ML).
Submitter: Felicia Burtscher
Studies: Topological analysis of individual pathway networks and aggregated netwo...
Assays: No Assays
Members of the genus Aromatoleum are cosmopolitan in diverse habitats and utilize a broad range of recalcitrant organic molecules coupled to denitrification or O2-respiration. To gain a holistic understanding of the model organism A. aromaticum EbN1T, we here studied its catabolic network dynamics in response to 3-(4-hydroxyphenyl)propanoate, phenylalanine, 3-hydroxybenzoate, benzoate and acetate utilized under nitrate-reducing vs. oxic conditions. Multi-OMICS (transcriptome, proteome and metabolome) ...
Submitter: Meina Neumann-Schaal
Studies: Experimental multi-OMICS, Genome re-annotation, Metabolic Modelling
Assays: CoA LC/MS Data, Cultivation for multi-OMICS, EbN1 Genome re-annotation, Metabolic modeling of EbN1, Proteomic data, Scenario files for Metano metabolic modeling, Transcriptomic data, non-volatile metabolites GC/MS
Data integration is an essential part of Systems Biology. Scientists need to combine different sources of information in order to model biological systems, and relate those models to available experimental data for validation. Currently, only a small fraction of the data and models produced during Systems Biology investigations are deposited for reuse by the community, and only a smaller fraction of that data is standards compliant, semantic content. By embedding semantic technologies into familiar ...
Submitter: Olga Krebs
Studies: Creating Templates for Proteomics, Creating Templates for Transcriptomics, Creating template for metabolomics data
Assays: Affy Transcriptomics Templates, Chip-chip Excel Template, General Transcriptomics Templates, Metabolomics Master Template, NimbleGen Transcriptomics Templates, Proteomics Template (gel electrophoresis), Proteomics Templates (Mass spectrometry), RT-PCR Excel Template, Standard-based Excel template for metabolomics data
Short Name: 03_Omics Title: Omics analysis of RNAi response in CPB Description: Transcriptomics and metagenome changes upon feeding CPB larvae with dsRNA Phenodata: ./phenodata_20210115.txt pISA Investigation creation date: 2021-01-15 pISA Investigation creator: Marko Petek Principal investigator: Marko Petek License: CC BY 4.0 Sharing permission: Private Upload to FAIRDOMHub: Yes
Submitter: Marko Petek
Studies: Investigation files, _S_01_ns-dsRNA_trans, _S_02_metagenome_resp
Assays: _A_01-DNAisol, _A_01_RNA-Seq_dsEGFP-NGS, _A_02-DNASeq, _A_02_CLC-RNASeq, _A_03-Centrifuge, _A_04_DE_divers-R, _A_05_extr_reads-rcf, _A_06_extr_bact-assembly, _A_07_allReads_meta-assembly, _I_03_Omics-files, _S_01_ns-dsRNA_trans-files, _S_02_metagenome_resp-files
Short Name: 02_FieldTrials Title: Field trials Description: Field trials - spraying CPB larvae on potato field with the insecticidal dsRNA validated for effectiveness in the laboratory trials Phenodata: ./phenodata_20210115.txt pISA Investigation creation date: 2021-01-15 pISA Investigation creator: Marko Petek Principal investigator: Marko Petek License: CC BY 4.0 Sharing permission: Private Upload to FAIRDOMHub: Yes
Submitter: Marko Petek
Studies: Investigation files, _S_01_2019, _S_02_2020
Assays: _A_01_jun19-wet, _A_01_jun20-wet, _I_02_FieldTrials-files, _S_01_2019-files, _S_02_2020-files
Short Name: 01_LabTrials Title: Laboratory trials Description: Selection of targets and their validation in trials performed in the laboratories and greenhouse at NIB Phenodata: ./phenodata_20210113.txt pISA Investigation creation date: 2021-01-13 pISA Investigation creator: Marko Petek Principal investigator: Marko Petek License: CC BY 4.0 Sharing permission: Private Upload to FAIRDOMHub: Yes
Submitter: Marko Petek
Studies: Investigation files, _S_01_TargetSelect, _S_02_dsRNAorder, _S_03_dsRNAprod, _S_04_Stages, _S_05_jun2016, _S_06_oct2016, _S_07_dec2016, _S_08_jan2017, _S_09_jun2017, _S_10_apr2018, _S_11_may2018
Assays: _A_00_Ecoli-dry, _A_00_jun2017_dsRNA_stabil-wet, _A_01_AgroRNA-wet, _A_01_LitData-dry, _A_01_dec2016-phenotyping, _A_01_jan2017-phenotyping, _A_01_jun2016-phenotyping, _A_01_jun2017-phenotyping, _A_01_jun2017-phenotyping, _A_01_may2018-phenotyping, _A_01_oct2016-phenotyping, _A_01_pIsol-wet, _A_02_UlrichTop100-BLAST, _A_02_dec2016-RNAisol, _A_02_jun2016-RNAisol, _A_02_jun2017-RNAisol, _A_02_plasmid-SangerSeq, _A_02_qPCR_ampl_test-wet, _A_03_RNaseItreat-wet, _A_03_dec2016-qPCR, _A_03_jun2016-qPCR, _A_03_jun2017-qPCR, _A_03_patentDB-BLAST, _A_03_stages-RNAisol, _A_04_ortho-BLAST, _A_04_prod-qPCR, _A_04_stages-qPCR, _A_05_CPB_gene-annot, _A_06_splitter_BLAST-dry, _A_07_MergeEvi-dry, _A_08_SelTargetsA-dry, _I_01_LabTrials-files, _S_01_TargetSelect-files, _S_02_dsRNAorder-files, _S_03_dsRNAprod-files, _S_04_Stages-files, _S_05_jun2016-files, _S_06_oct2016-files, _S_07_dec2016-files, _S_08_jan2017-files, _S_09_jun2017-files, _S_10_apr2018-files, _S_11_may2018-files
Submitter: Dikshant Pradhan
Studies: CD4+ T cells are homeostasis regulators during Mtb reinfection, CD8+ lymphocytes are critical for early control of tuberculosis in macaques, Fc-FcγR interactions shift alveolar macrophage metabolism to promote Myc..., Fc-engineered antibodies leverage neutrophils to drive control of Mycoba..., Humoral correlates of protection against Mycobacterium tuberculosis foll..., Immune cells in bronchoalveolar lavage fluid of Ugandan adults who resis..., Multi-modal data integration using Markov Field graphical networks predi..., Multimodal profiling of lung granulomas in macaques reveals cellular cor..., Mycobacterium tuberculosis-specific antibodies detect progression to act..., Robust IgM responses following intravenous vaccination with Bacille Calm..., Specific CD4+ T cell phenotypes associate with bacterial control in peop...
Assays: All Metadata, All Metadata, All Metadata, All Metadata, All Metadata, Anti-Microbial Assay – Metadata, Antibody Challenge - Metadata, Antibody Titer - Data Linked, Antibody Titer Analysis - Data Linked, Antibody-Dependent Cellular Phagocytosis - Data Linked, Antibody-Dependent Cellular Phagocytosis - Data Linked, Antibody-Dependent Cellular Phagocytosis Analysis - Data Linked, Antibody-Dependent NK Cell Activation - Data Linked, Antibody-Dependent NK Cell Activation Analysis - Data Linked, Antibody-Dependent Neutrophil Phagocytosis - Data Linked, Antibody-Dependent Neutrophil Phagocytosis - Data Linked, Antibody-Dependent Neutrophil Phagocytosis Analysis - Data Linked, Antibody-dependent Cellular Phagocytosis - Data Linked, Antibody-dependent Complement Deposition - Data Linked, Antibody-dependent NK Cell Activation - Data Linked, Antibody-dependent Neutrophil Phagocytosis - Data Linked, Bacterial Challenge - Metadata, Bacterial Extraction - Metadata, Bacterial Extraction - Metadata, Bacterial Survivability Restriction Assay - Data Linked, DNA Extraction - Metadata, Digitally Barcoded Mtb Matrix Analysis - Data Attached, Digitally Barcoded Mtb Matrix Analysis - Data Attached, ELISA - Data Linked, FC Receptor Binding - Data Linked, FC Receptor Binding Analysis - Data Linked, FC Receptor Binding Assay - Data Linked, Flow Cytometry - Data Linked, Flow Cytometry - Data Linked, Flow Cytometry - Data Linked, Flow Cytometry - Data Linked, Flow Cytometry Analysis - Data Attached, Flow Cytometry Analysis - Data Linked, Flow Cytometry Analysis - Data Linked, Flow Cytometry Analysis - Data Linked, Flow Cytometry Processing – Data Attached, Flow Cytometry – Data Linked, Functional Assay – Metadata, Glycosylation Assay - Data Linked, Immunohistochemistry - Data Linked, Immunohistochemistry – Data Linked, Library Creation – Metadata, Library Prep - Metadata, Library Prep - Metadata, Linear Mixed Model - Data Linked, Luminex - Data Linked, Luminex Assay – Metadata, Luminex Data Processing – Data Attached, Model Validation, NHP Necropsy – Metadata, NHP Tissue Collection – Metadata, PET-CT Scan - Data Linked, PET-CT Scan Analysis – Data Linked, PET-CT Scan – Data Linked, PET/CT Scan - Data Linked, PET/CT Scan - Data Linked, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit - Metadata, Patient Visit – Metadata, Patient Visit – Metadata, Short Read Sequencing - Data Linked, Short Read Sequencing - Data Linked, Single Cell Clustering Analysis - Data Linked, Single Cell Clustering Analysis – Data Linked, Single Cell Expression Analysis - Data Linked, Single Cell Expression Analysis - Data Linked, Single Cell Expression Analysis - Data Linked, Single Cell Expression Matrix Analysis – Data Linked, Single Cell Sequencing Analysis – Data Linked, Single Cell Sequencing – Data Linked, Single Cell Sequencing – Data Linked, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Collection - Metadata, Tissue Extraction - Metadata, Tissue Extraction – Metadata, Titer Assay - Data Linked, Titer Assay - Data Linked, Titer Assay Analysis - Data Linked
Because enzyme activity depends very much on the reaction conditions, it is crucial to report all these metadata (see for example the STRENDA Guidelines:https://www.beilstein-strenda-db.org/strenda/public/guidelines.xhtml).
Another challenge in experiments to determine enzyme reaction parameters is the choice of suitable substrate concentrations to enable optimal kinetic fits and the informed choice of a kinetic model.
A Jupyter notebook is given to assist in the choice of substrate concentrations ...
Submitter: Gudrun Gygli
Studies: Analyse an Initial Rate Experiment, Design an Initial Rate Experiment, Progress Curve Analysis, Selwyn Test
Assays: Use a Jupyter Notebook to design an initital rate experiment, Use a Jupyter Notebook to model Michaelis-Menten Kinetics on experimenta..., Use a Jupyter Notebook to understand how a progress curve experiment can..., Use a Jupyter Notebook to understand how the Selwyn test works
The dataset presents mathematical models of the gene regulatory network of the circadian clock, in the plant Arabidopsis thaliana. The work is published in Urquiza-Garcia and Millar, Testing the inferred transcription rates of a dynamic, gene network model in absolute units, In Silico Plants, 2021.
Starting from the P2011 model, this project corrects theoretical issues (EC steady state binding assumption) to form an intermediate model (first version U2017.1; published as U2019.1) model, rescales ...
Multiscale and multicellular simulation of SARS-CoV-2 infection uncover points of intervention to evade apoptosis.
Summary:
Our framework enables the simulation of the dynamics of signaling pathways that include the relevant players in SARS-CoV-2 infection, at the level of the individual cell and of the cell population. These different players encompass the virus, epithelial and immune cells. The model focuses on apoptosis and suggests two knock out alterations that force apoptosis of the ...
Research in Systems Biology involves integrating data and knowledge about the dynamic processes in biological systems in order to understand and model them. By connecting fields such as genomics, proteomics, bioinformatics, mathematics, cell biology, genetics, mathematics, engineering and computer sciences, Systems Biology enables discovery of yet unknown principles underlying the functioning of living cells. At the same time, testable and predictive models of complex cellular pathways and ...
An experimental workflow to provide detailed information of the molecular mechanisms of enzymes is described. This workflow will help in the application of enzymes in technical processes by providing crucial parameters needed to plan, model and implement biocatalytic processes more efficiently. These parameters are homogeneity of the enzyme sample (HES), kinetic and thermodynamic parameters of enzyme kinetics and binding of reactants to enzymes. The techniques used to measure these properties are ...
Submitter: Gudrun Gygli
Studies: DLS measurements (homogeneity of an enzyme sample), ITC binding experiments, ITC kinetic experiments (enzyme activity), Spectrophotometric Activity Measurements
Assays: Analysis of data from ITC experiments (binding), Analysis of data from ITC experiments (kinetics), Binding of HK to Gre2p (ITC-BIND), Binding of NADP+ to Gre2p in HEPES Buffer (ITC-BIND), Binding of NADP+ to Gre2p in KPi Buffer (ITC-BIND), Binding of NADP+ to Gre2p in PBS Buffer (ITC-BIND), Binding of NADPH to Gre2p in HEPES Buffer (ITC-BIND), Binding of NADPH to Gre2p in KPi Buffer (ITC-BIND), Binding of NADPH to Gre2p in PBS Buffer (ITC-BIND), Binding of NADPH to Gre2p in Tween-KPi Buffer (ITC-BIND), Binding of NDK to Gre2p (ITC-BIND), DLS measurements in 2 buffers, DLS measurements in KPi Buffer and in KPi buffer with Tween added, DLS measurements in KPi buffer with BSA added, Kinetic parameters of Gre2p, Kinetics of the reaction of NDK and NADPH with Gre2p (ITC-MIM) in HEPES ..., Kinetics of the reaction of NDK and NADPH with Gre2p (ITC-MIM) in KPi bu..., Kinetics of the reaction of NDK and NADPH with Gre2p (ITC-MIM) in PBS bu..., Kinetics of the reaction of NDK and NADPH with Gre2p (ITC-MIM) in Tween-..., Kinetics of the reaction of NDK and NADPH with Gre2p (ITC-rSIM) in 3 buf..., Selwyn test of Gre2p, Specific activity of Gre2p
The COVIDminer text mining project (https://rupertoverall.net/covidminer/) reads the published literature concerning SARS-CoV-2 and COVID-19 to extract statements about (primarily molecular) interactions. Using the API associated with this project, putative interactors can be automatically retrieved for the existing COVID-19 Disease Maps. New interactions are prioritised based on their frequency in the literature and the topological importance of the interaction targets to provide a focussed set ...
We further used the transcriptome dataset from the GEO database with accession number GSE147507 (Blanco-Melo et al., 2020) to extract the series number 5 from the dataset, consisting of 2 conditions in triplicate, A549 cells treated with a mock and A549 infected with SARS-CoV-2, measured 24 hours after treatment. Phosphoproteomic data of mock-treated and SARS-CoV2 infected cells were extracted from (Stukalov et al., 2020). We then applied our pipeline described in M&M X. This work notably ...
Submitter: Aurélien Dugourd
Studies: Footprint based analysis and causal network contextualisation in SARS-Co...
Assays: No Assays
In this investigation, we aim to develop automatic workflows to pinpoint drug targets carrying genomic variants at high frequency in the population
Submitter: Janet Piñero
Studies: Pharmacogenomics of drugs targeting the COVID-19 disease map
Assays: No Assays
In this investigation we aim to develop automatic workflows to analyze COVID19 Omics data to understand and predict the molecular pathways depicting host-virus interaction.
Submitter: Dikshant Pradhan
Studies: Benthic fluxes of fluorescent dissolved organic material, salt and heat ..., Colorimetric Detection of Aqueous N-Nitrosodimethylamine via Photonitros..., CometChip Enables Parallel Analysis of Multiple DNA Repair Activities, Excision of mutagenic replication-blocking lesions suppresses cancer but..., Interaction of N-Nitroamines with Bincuelar Copper Complexs for Luminsec..., Molecular origins of mutational spectra produced by the environmental ca..., Novel In Vivo CometChip Reveals NDMA-Induced DNA Damage and Repair in Mu..., Optical Detection of Interleukin-6 using Liquid Janus Emulsions using Hy...
Assays: Absorption and Emission Spectroscopy - Data Linked, Absorption and Emission Spectroscopy Analysis - Data Linked, Agglutination Assay - Data Linked, All Metadata, Chemical Challenge - Metadata, Chemical Synthesis - Metadata, Chemical Synthesis - Metadata, Chemical Synthesis - Metadata, Comet Chip - Data Linked, Comet Chip Analysis - Data Attached, Comet Chip Analysis - Data Attached, Crystallography - Data Linked, Electron Paramagnetic Resonance - Data Linked, Extraction and Library Creation - Metadata, Field Water Sensor Run, Fourier Transform Infrared Spectroscopy - Data Linked, GPT Assay - Data Attached, GPT Assay – Data Attached, Gel Permeation Chromatography - Data Linked, Genome Alignment - Data Linked, High Resolution Mass Spectra - Data Linked, High Resolution Mass Spectra Analysis - Data Linked, Illumina Sequencing - Data Linked, Imaging - Data Linked, Mass Spectrometry Processing – Data Linked, Mass Spectrometry – Data Linked, Mouse Necropsy – Metadata, Mutational Spectral Analysis - Data Attached, Necropsy - Metadata, Nuclear Magnetic Resonance - Data Linked, Nuclear Magnetic Resonance Analysis - Data Linked, Nuclear Magnetic Resonance Spectroscopy - Data Linked, Nuclear Magnetic Resonance Spectroscopy - Data Linked, Nuclear Magnetic Resonance Spectroscopy Analysis - Data Linked, Nuclear Magnetic Resonance Spectroscopy Analysis - Data Linked, Pendant Drop Tensiometry - Data Linked, RaDR Image Machine Learning Analysis – Data Attached, Single-crystal X-ray Crystallography - Data Linked, Tissue Collection - Metadata, Tissue Imaging – Metadata, Tissue Lysis – Metadata, UV-Vis Spectroscopy - Data Linked, UV-Vis Spectroscopy Analysis - Data Linked, X-ray Photoelectron Spectroscopy - Data Linked
Submitter: Pasquale Linciano
Studies: Chemical characterization, and biological evaluation of the SECONDARY HITS, Ty-Box chemical characterization, properties and biological evaluation
Assays: Antimicobacterium, Antiparasitic and in vitro toxicity for Ty-Box library, Biological characterization for Secondary Hits, Molecular Formula STRING excel, MolecularFormula Strings Spreadsheet_Ty, Secondary Hits Characterization, Ty-Box library characterization