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MathWorks Inc host microbe interactions
Summary of quantitative frameworks commonly employed to study microbial interactions with a brief discussion on its implementation, strengths and limitations
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MathWorks Inc host pc uses matlab simulink stateflow
Summary of quantitative frameworks commonly employed to study microbial interactions with a brief discussion on its implementation, strengths and limitations
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Mouse monoclonal antibody labeled with the LANCE® Eu-W1024-ITC chelate. This antibody recognizes specifically phosphorylated Thr232 in myelin basic protein (MBP; Swiss-Prot: P02686). MBP can be phosphorylated by a variety of kinases including Erk1/Erk2. Sequence motif
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Mouse monoclonal antibody labeled with the LANCE® Europium W-1024-ITC chelate. This antibody detects peptides derived from IkappaB-alpha phosphorylated at Ser32/36. IkappaB-alpha (Ser32/36) peptides can be phosphorylated by the IKKβ kinase. Sequence motif recognized: RHDSGLDSM
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Generic peptide substrate for use in TR-FRET biochemical kinase assays. Refer to Selector Guide for validated kinases. Synthetic peptide containing residues surrounding Ser235 and Ser236 of human 40S ribosomal protein S6; this peptide is pre-phosphorylated
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Affinity-purified rabbit polyclonal antibody labeled with the LANCE® Europium W-1024-ITC chelate. This antibody detects peptides derived from tyrosine hydroxylase and phosphorylated at serine 40. Tyrosine hydroxylase peptides can be phosphorylated by a variety of kinases
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Mouse monoclonal antibody labeled with the LANCE® Eu-W1024-ITC chelate. This antibody recognizes specifically phosphorylated Ser21 in glycogen synthase kinase-3 alpha (GSK-3α), Crosstide and other peptides derived from GSK-3α. GSK-3α can be phosphorylated by a variety
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Europium-labeled rabbit monoclonal antibody recognizing human eukaryotic translation initiation factor 4E-binding protein 1 phosphorylated at Thr37 or Thr46. Sequence motif recognized: ST(pT)PGGTLFST(pT)PG(mono-phosphorylated peptides at either residue will also be successfully recognized)
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Europium-labeled mouse monoclonal antibody recognizing human DNA Topoisomerase 2-alpha phosphorylated at Thr1342. Sequence motif recognized: DEK(pT)DDE
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Summary of quantitative frameworks commonly employed to study microbial interactions with a brief discussion on its implementation, strengths and limitations

Journal: Microbial Ecology

Article Title: Modeling Microbial Community Networks: Methods and Tools for Studying Microbial Interactions

doi: 10.1007/s00248-024-02370-7

Figure Lengend Snippet: Summary of quantitative frameworks commonly employed to study microbial interactions with a brief discussion on its implementation, strengths and limitations

Article Snippet: Constraint model , Microbiome Modeling Toolbox (MMT)—constraint-based reconstruction and analysis framework (COBRA) : It allows visualizing microbe-microbe and host-microbe interactions , Microbiome Modeling Toolbox—MATLAB (Mathworks) , Relatively user friendly model for the analysis of microbe-microbe and host-microbe metabolic interactions , Computationally intensive. However, a version update reportedly has significantly reduced computation times by adopting parallelization , [ , ] .

Techniques: Ex Vivo, Construct, Sequencing, Transformation Assay, Gene Expression, Biomarker Discovery, In Silico, Combined Bisulfite Restriction Analysis Assay