Azido-PEG4-propionic acid - CAS 1257063-35-6

Azido-PEG4-propionic acid - CAS 1257063-35-6 Catalog number: BADC-00911

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Azido-PEG4-acid is a PEG-based PROTAC linker used in the synthesis of PROTACs. It is also a non-cleavable 4 unit PEG ADC linker used in the synthesis of antibody-drug conjugates (ADCs).

Category
ADCs Linker
Product Name
Azido-PEG4-propionic acid
CAS
1257063-35-6
Catalog Number
BADC-00911
Molecular Formula
C11H21N3O6
Molecular Weight
291.30
Purity
≥95%
Azido-PEG4-propionic acid

Ordering Information

Catalog Number Size Price Quantity
BADC-00911 -- $-- Inquiry
Description
Azido-PEG4-acid is a PEG-based PROTAC linker used in the synthesis of PROTACs. It is also a non-cleavable 4 unit PEG ADC linker used in the synthesis of antibody-drug conjugates (ADCs).
Synonyms
Azido-PEG4-acid;N3-PEG4-COOH; Azido-PEG4-C2-acid; Azido-PEG4-Acid; N3-PEG4-CH2CH2COOH; 1-Azido-3,6,9,12-tetraoxapentadecan-15-oic acid; 15-Azido-4,7,10,13-tetraoxapentadecanoic acid
IUPAC Name
3-[2-[2-[2-(2-azidoethoxy)ethoxy]ethoxy]ethoxy]propanoic acid
Canonical SMILES
C(COCCOCCOCCOCCN=[N+]=[N-])C(=O)O
InChI
InChI=1S/C11H21N3O6/c12-14-13-2-4-18-6-8-20-10-9-19-7-5-17-3-1-11(15)16/h1-10H2,(H,15,16)
InChIKey
BODPHGOBXPGJKO-UHFFFAOYSA-N
Solubility
Soluble in DMSO (10 mm)
LogP
0.29056
PSA
123.97000
Appearance
Colorless to light orange to yellow clear liquid
Shipping
Room temperature
Storage
Store at 2-8°C
Pictograms
Irritant
Signal Word
Warning
Form
Liquid

Azido-PEG4-propionic acid, a versatile chemical reagent utilized in bioconjugation and material sciences, presents a myriad of applications. Here are four key applications presented with high perplexity and burstiness:

Bioconjugation and Labeling: Playing a pivotal role in bioconjugation reactions, Azido-PEG4-propionic acid serves as a bridge linking biomolecules like proteins, antibodies, and nucleic acids. The azide group facilitates click chemistry reactions, offering a robust method for attaching fluorescent labels, drugs, or other functional groups. This process aids in the creation of targeted therapeutics, diagnostic tools, and imaging agents, amplifying possibilities in the realms of biomedicine and research endeavors.

Drug Delivery Systems: Leveraging the PEGylation characteristics of Azido-PEG4-propionic acid, this compound emerges as a valuable asset in advancing drug delivery systems. By conjugating drugs to PEG chains through the azide group, solubility is enhanced, drug stability improves, and circulation time in the body is prolonged. The outcome is more efficacious and controlled drug delivery, minimizing adverse effects and optimizing therapeutic outcomes for diverse medical conditions.

Surface Modification: Azido-PEG4-propionic acid finds versatile application in surface modification for introducing functional groups to various materials. This adaptation can be harnessed for crafting bioactive surfaces in tissue engineering, implant coatings, or biosensor applications. The integration of PEG chains improves biocompatibility and diminishes non-specific binding, rendering surfaces conducive to a spectrum of biomedical applications, empowering advancements in healthcare technologies.

Protein Engineering: In the realm of protein engineering, this reagent emerges as a powerful tool for site-specific protein modification. By incorporating an azide functional group at specific sites on a protein, researchers can precisely attach probes or other molecules where needed. This precision opens avenues for in-depth studies on protein function, interactions, and dynamics, propelling progress in structural biology and therapeutic protein design, underpinning crucial developments in the medical and scientific arenas.

1. Acidity characterization of heterogeneous catalysts by solid-state NMR spectroscopy using probe molecules
Anmin Zheng, Shang-Bin Liu, Feng Deng Solid State Nucl Magn Reson. 2013 Oct-Nov;55-56:12-27. doi: 10.1016/j.ssnmr.2013.09.001. Epub 2013 Sep 20.
Characterization of the surface acidic properties of solid acid catalysts is a key issue in heterogeneous catalysis. Important acid features of solid acids, such as their type (Brønsted vs. Lewis acid), distribution and accessibility (internal vs. external sites), concentration (amount), and strength of acid sites are crucial factors dictating their reactivity and selectivity. This short review provides information on different solid-state NMR techniques used for acidity characterization of solid acid catalysts. In particular, different approaches using probe molecules containing a specific nucleus of interest, such as pyridine-d5, 2-(13)C-acetone, trimethylphosphine, and trimethylphosphine oxide, are compared. Incorporation of valuable information (such as the adsorption structure, deprotonation energy, and NMR parameters) from density functional theory (DFT) calculations can yield explicit correlations between the chemical shift of adsorbed probe molecules and the intrinsic acid strength of solid acids. Methods that combine experimental NMR data with DFT calculations can therefore provide both qualitative and quantitative information on acid sites.
2. Dietary Acid Load Associated with Hypertension and Diabetes in the Elderly
Tulay Omma, Nese Ersoz Gulcelik, Fatmanur Humeyra Zengin, Irfan Karahan, Cavit Culha Curr Aging Sci. 2022 Aug 4;15(3):242-251. doi: 10.2174/1874609815666220328123744.
Background: Diet can affect the body's acid-base balance due to its content of acid or base precursors. There is conflicting evidence for the role of metabolic acidosis in the development of cardiometabolic disorders, hypertension (HT), and insulin resistance (IR). Objective: We hypothesized that dietary acid load (DAL) is associated with adverse metabolic risk factors and aimed to investigate this in the elderly. Methods: A total of 114 elderly participants were included in the study. The participants were divided into four groups, such as HT, diabetes (DM), both HT and DM, and healthy controls. Anthropometric, biochemical, and clinical findings were recorded. Potential renal acid load (PRAL) and net endogenous acid production (NEAP) results were obtained for three days, 24-hour dietary records via a nutrient database program (BeBiS software program). Results: The groups were matched for age, gender, and BMI. There was a statistically significant difference between the groups regarding NEAP (p =0.01) and no significant difference for PRAL ( p = 0.086). The lowest NEAP and PRAL levels were seen in the control group while the highest in the HT group. Both NEAP and PRAL were correlated with waist circumference (r = 0,325, p = 0.001; r=0,231, p =0,016, respectively). Conclusion: Our data confirmed that subjects with HT and DM had diets with greater acid-forming potential. High NEAP may be a risk factor for chronic metabolic diseases, particularly HT. PRAL could not be shown as a significantly different marker in all participants. Dietary content has a significant contribution to the reduction of cardiovascular risk factors, such as HT, DM, and obesity.
3. The Stephan Curve revisited
William H Bowen Odontology. 2013 Jan;101(1):2-8. doi: 10.1007/s10266-012-0092-z. Epub 2012 Dec 6.
The Stephan Curve has played a dominant role in caries research over the past several decades. What is so remarkable about the Stephan Curve is the plethora of interactions it illustrates and yet acid production remains the dominant focus. Using sophisticated technology, it is possible to measure pH changes in plaque; however, these observations may carry a false sense of accuracy. Recent observations have shown that there may be multiple pH values within the plaque matrix, thus emphasizing the importance of the milieu within which acid is formed. Although acid production is indeed the immediate proximate cause of tooth dissolution, the influence of alkali production within plaque has received relative scant attention. Excessive reliance on Stephan Curve leads to describing foods as "safe" if they do not lower the pH below the so-called "critical pH" at which point it is postulated enamel dissolves. Acid production is just one of many biological processes that occur within plaque when exposed to sugar. Exploration of methods to enhance alkali production could produce rich research dividends.
The molarity calculator equation

Mass (g) = Concentration (mol/L) × Volume (L) × Molecular Weight (g/mol)

The dilution calculator equation

Concentration (start) × Volume (start) = Concentration (final) × Volume (final)

This equation is commonly abbreviated as: C1V1 = C2V2

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