Anti-infective agent 12
Anti-infective agent 12 (Compound A09) is a competitive inhibitor of type I signal peptidease (SPase I), with an IC50 of 4.475 μM and a Kd of 16.3 μM. Anti-infective agent 12 has the ability to disrupt bacterial membranes and remove biofilms. Anti-infective agent 12 exhibits potent bactericidal activity against Gram-positive bacteria, with MIC values of 4, 4, 8, and 8 μg/mL for Staphylococcus aureus, Enterococcus faecalis, Enterococcus faecium, and Streptococcus suis, respectively. Anti-infective agent 12 remains effective against multi-drug resistant strains, but has weaker activity against Gram-negative bacteria (such as Escherichia coli and Salmonella), with MIC values > 64 μg/mL. Anti-infective agent 12 has low hemolytic activity and shows significant efficacy in mouse skin infection models.
For research use only. We do not sell to patients.
- Formula: C35H51N5O6
- Molecular Weight:637.81
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Storage:
Please store the product under the recommended conditions in the Certificate of Analysis.
Biological Activity
Description
Chemical Information
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Molecular Weight 637.81
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Formula C35H51N5O6
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SMILES
O=C(O)C1=CC=CC=C1NC([C@@H](NC(CNC(C2=CC(CN)=CC=C2NC(CCCCCCCCCCC)=O)=O)=O)CC(C)C)=O
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Shipping
Room temperature in continental US; may vary elsewhere.
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Storage
Please store the product under the recommended conditions in the Certificate of Analysis.
Protocols
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Research Protocol for Infectious Diseases
Infectious-disease experiments test how pathogens interact with host barriers, innate immune receptors, inflammatory signaling, pathogen replication, and tissue injury; pattern-recognition receptors such as TLRs, RIG-I-like receptors, NOD-like receptors, and inflammasomes detect microbial molecules and activate NF-κB, interferon, and cytokine responses. The central hypothesis is that infection severity reflects the balance between pathogen burden and host response: protective inflammation restricts pathogen growth, whereas excessive or mislocalized inflammation contributes to tissue damage and disease phenotype. Unresolved questions include which host pathways are protective versus pathogenic, why some infection models fail to translate to human disease, and which combined readouts best predict clinically relevant infection outcomes.
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Cell Cytotoxicity Assay
Cytotoxicity assays are usually based on the assessment of cell membrane damage, which can also be indirectly detected by measuring cell viability. Detection methods include MTT assay, CKK-8 assay, LDH assay and ATP assay, etc.
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Gram Staining of Tissue Sections
Gram staining of tissue sections is a histochemical technique used to differentiate Gram-positive and Gram-negative bacteria within histological specimens based on differences in bacterial cell wall structure and dye retention, adapted from classical bacteriological Gram staining into tissue-compatible “histological Gram stain” variants. In tissue applications, modifications of the Brown-Hopps and Brown-Brenn methods are commonly used to improve differentiation of microorganisms embedded within host connective tissue and to reduce overstaining or loss of Gram-negative signal, which are known limitations of earlier approaches. The principle relies on crystal violet-iodine complex retention in Gram-positive organisms and subsequent decolorization and counterstaining steps that allow contrast visualization of Gram-negative organisms against tissue background.
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Bacterial live/dead nucleic-acid viability staining
The LIVE/DEAD bacterial viability staining method is based on differential permeability of nucleic-acid-binding fluorescent dyes, most commonly SYTO 9 and propidium iodide (PI), which enables discrimination of bacterial populations with intact versus compromised cytoplasmic membranes. SYTO 9 penetrates both intact and damaged bacterial membranes and binds nucleic acids to produce green fluorescence, whereas propidium iodide penetrates only cells with compromised membranes and fluoresces red while also reducing SYTO 9 signal through competitive binding and fluorescence interactions. The resulting fluorescence pattern is interpreted as a proxy for membrane integrity, which is widely used as an indicator of bacterial viability in microscopy, flow cytometry, and spectroscopic platforms. However, mechanistic studies show that SYTO 9 and PI interactions involve displacement and fluorescence resonance energy transfer effects, which can influence signal interpretation depending on dye ratios a
Purity & Documentation
References
Calculators
Concentration (start) × Volume (start) = Concentration (final) × Volume (final)