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Chemical Structure| 2495-39-8 Chemical Structure| 2495-39-8
Chemical Structure| 2495-39-8

Sodium Allylsulfonate

CAS No.: 2495-39-8

4.5 *For Research Use Only !

Cat. No.: A375292 Purity: 94%

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Product Citations

Product Citations      Show More

Maness, Peter F. ; Cone, Grant W. ; Ford, David A. ; McCulla, Ryan D. ;

Abstract: Lipid oxidation by reactive oxygen species (ROS) provide several different oxidation products that have been implicated in inflammatory responses. Ground state at. oxygen [O(3P)] is produced by the photodeoxygenation of certain heterocyclic oxides and has a reactivity that is unique from other ROS. Due to the reactive nature of O(3P), the site of O(3P)-generation is expected to influence the products in heterogenous solutions or environments. In this work, the oxidation of low-d. lipoprotein (LDL) by lipids with covalently bound O(3P)-photoprecursors was compared to more hydrophilic O(3P)-photoprecursors. Lipid oxidation products were quantified after Bligh-Dyer extraction and pentafluorobenzyl bromide (PFB) derivatization by GC-MS. Unlike the more hydrophilic O(3P)-photoprecursors, the oxidation of LDL during the irradiation of lipid-(O3P)-photoprecursor conjugates showed little quenching by the addition of the O(3P)-scavenging sodium allyl sulfonate. This indicated that lipophilic O(3P)-photoprecursors are expected to generate lipid oxidation products where other more hydrophilic O(3P)-photoprecursors could be quenched by other reactive groups present in solution or the environment.

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Grant W. Cone, B.S. ;

Abstract: Reactive oxygen species (ROS) and the understanding of how they influence cells provides insights onto how biological organisms react during oxidative stress caused by disease that plague humans and animals alike. In durations of high oxidative stress mediated by ROS, cells ultimately perish and can cause lasting effects on an organism. With such knowledge and the use of medicine, drugs are produced to aid therapies devised to combat the damage done by release of ROS in cells. While ROS have previously been extensively studied, more recent studies elucidated the existence and production of atomic oxygen, the smallest diradical yet known. Atomic oxygen or triplet oxygen with the term symbol 3P [O (3 P)], an extremely short lived and reactive species, produces a unique profile of products comparatively to other ROS and the usage of producing O (3 P) in cells is largely unknown and the benefits of doing so unrealized. The lack of knowledge comparative to other ROS is due to O (3 P) being a rare, if not unlikely, species produced in or by an organism. Currently, species with a Dibenzothiophene S-Oxide (DBTO) moiety are the predominate producers of O (3 P) utilizing photochemical processes. Previously, the production of O (3 P) in cells provided a “shotgun” approach where when incorporated into cells and DBTO’s subsequently photolyzed provided unique oxidation products, however, the usefulness of the technique provided to lack control necessary to provide breakthroughs in useful technology. Synthesizing a novel DBTO, one coupled to a lipid (phosphatidylcholine or PC), L-α-Phosphtidyl-N, N-dimethylethanolamine-N-2-methyldibenzothiophene S-oxide (PC-N-DBTO), provides a means to control the placement of O (3 P) production by predominately incorporating into membranes. Investigations into the usefulness of the novel technique of DBTO incorporation, completed by O (3 P) production in low density lipoprotein (LDL), shown that the unique oxidative product profile stayed intact. Furthermore, the investigation shown that compared to other techniques of incorporation, when the process utilizes PC-N-DBTO photolysis in LDL, that the process is nearly unquenchable using known O (3 P) quenching agent allylsufonate. Additionally, the examination provided evidence that isolation of DBTO to a specific site provides sufficient sequestering for studying the effects of O (3 P) production as a site directed approach.

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Wu, Min ;

Abstract: The cost of solar and wind electricity has dropped so precipitously that the main barrier to their widespread adoption is their intrinsic intermittency. Aqueous organic redox flow batteries (AORFBs) provide a potentially cost-effective energy storage option to this end. However, many challenges remain in advancing AORFBs, particularly the synthetic cost and long-term stability of redox-active organic molecules. Starting from inexpensive precursor, we developed a new synthetic route for extremely stable anthraquinone negative electrolyte (negolyte) active species. Furthermore, we demonstrated that high pH suppresses the decomposition of anthraquinone negolyte, leading to a capacity fade rate of 0.7%/year, representing one of the lowest capacity fade rates, in the absence of rebalancing techniques, of any flow battery ever published-organic or inorganic. Additionally, we reported an in-situ electrochemical oxidation method to decrease the synthetic cost. To further address the cost challenge, we developed a one-pot, green, and scalable approach to synthesize a highly water-soluble and potentially low-cost anthraquinone. By a simple functionalization, the volumetric capacity and cycle life of this anthraquinone improved more than one order of magnitude. Additionally, simulation regarding state of charge, cut-off voltage, and cut-off current density provides guidance on how to measure the capacity fade rate more accurately. In the final part, we developed the first anthraquinone negolyte species with a low capacity fade rate and a redox potential below -0.6 V vs. SHE at pH 14. The anthraquinone was synthesized from inexpensive precursors with a one-step N-alkylation method. Therefore, the mass production cost might be very low. The anthraquinone exhibited a high capacity fade rate of 2.6%/day at neutral pH, but the capacity fade rate decreased to 0.025%/day at pH 14, making it one of the most stable redox organic molecules ever reported. The substantial difference in anthraquinone cycling stability at different pH values was explained with thermodynamics.

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Alternative Products

Product Details of [ 2495-39-8 ]

CAS No. :2495-39-8
Formula : C3H5NaO3S
M.W : 144.12
SMILES Code : C=CCS(=O)([O-])=O.[Na+]
MDL No. :MFCD00051416
InChI Key :DIKJULDDNQFCJG-UHFFFAOYSA-M
Pubchem ID :23690996

Safety of [ 2495-39-8 ]

GHS Pictogram:
Signal Word:Warning
Hazard Statements:H315-H319-H335
Precautionary Statements:P233-P260-P261-P264-P271-P280-P302+P352-P304-P304+P340-P305+P351+P338-P312-P321-P332+P313-P337+P313-P340-P362-P403-P403+P233-P405-P501

Calculated chemistry of [ 2495-39-8 ] Show Less

Physicochemical Properties

Num. heavy atoms 8
Num. arom. heavy atoms 0
Fraction Csp3 0.33
Num. rotatable bonds 2
Num. H-bond acceptors 3.0
Num. H-bond donors 0.0
Molar Refractivity 24.75
TPSA ?

Topological Polar Surface Area: Calculated from
Ertl P. et al. 2000 J. Med. Chem.

65.58 Ų

Lipophilicity

Log Po/w (iLOGP)?

iLOGP: in-house physics-based method implemented from
Daina A et al. 2014 J. Chem. Inf. Model.

-8.38
Log Po/w (XLOGP3)?

XLOGP3: Atomistic and knowledge-based method calculated by
XLOGP program, version 3.2.2, courtesy of CCBG, Shanghai Institute of Organic Chemistry

-0.24
Log Po/w (WLOGP)?

WLOGP: Atomistic method implemented from
Wildman SA and Crippen GM. 1999 J. Chem. Inf. Model.

0.8
Log Po/w (MLOGP)?

MLOGP: Topological method implemented from
Moriguchi I. et al. 1992 Chem. Pharm. Bull.
Moriguchi I. et al. 1994 Chem. Pharm. Bull.
Lipinski PA. et al. 2001 Adv. Drug. Deliv. Rev.

-0.24
Log Po/w (SILICOS-IT)?

SILICOS-IT: Hybrid fragmental/topological method calculated by
FILTER-IT program, version 1.0.2, courtesy of SILICOS-IT, http://www.silicos-it.com

-0.54
Consensus Log Po/w?

Consensus Log Po/w: Average of all five predictions

-1.72

Water Solubility

Log S (ESOL):?

ESOL: Topological method implemented from
Delaney JS. 2004 J. Chem. Inf. Model.

-0.45
Solubility 51.1 mg/ml ; 0.355 mol/l
Class?

Solubility class: Log S scale
Insoluble < -10 < Poorly < -6 < Moderately < -4 < Soluble < -2 Very < 0 < Highly

Very soluble
Log S (Ali)?

Ali: Topological method implemented from
Ali J. et al. 2012 J. Chem. Inf. Model.

-0.68
Solubility 30.2 mg/ml ; 0.209 mol/l
Class?

Solubility class: Log S scale
Insoluble < -10 < Poorly < -6 < Moderately < -4 < Soluble < -2 Very < 0 < Highly

Very soluble
Log S (SILICOS-IT)?

SILICOS-IT: Fragmental method calculated by
FILTER-IT program, version 1.0.2, courtesy of SILICOS-IT, http://www.silicos-it.com

-0.04
Solubility 133.0 mg/ml ; 0.923 mol/l
Class?

Solubility class: Log S scale
Insoluble < -10 < Poorly < -6 < Moderately < -4 < Soluble < -2 Very < 0 < Highly

Soluble

Pharmacokinetics

GI absorption?

Gatrointestinal absorption: according to the white of the BOILED-Egg

High
BBB permeant?

BBB permeation: according to the yolk of the BOILED-Egg

No
P-gp substrate?

P-glycoprotein substrate: SVM model built on 1033 molecules (training set)
and tested on 415 molecules (test set)
10-fold CV: ACC=0.72 / AUC=0.77
External: ACC=0.88 / AUC=0.94

Yes
CYP1A2 inhibitor?

Cytochrome P450 1A2 inhibitor: SVM model built on 9145 molecules (training set)
and tested on 3000 molecules (test set)
10-fold CV: ACC=0.83 / AUC=0.90
External: ACC=0.84 / AUC=0.91

No
CYP2C19 inhibitor?

Cytochrome P450 2C19 inhibitor: SVM model built on 9272 molecules (training set)
and tested on 3000 molecules (test set)
10-fold CV: ACC=0.80 / AUC=0.86
External: ACC=0.80 / AUC=0.87

No
CYP2C9 inhibitor?

Cytochrome P450 2C9 inhibitor: SVM model built on 5940 molecules (training set)
and tested on 2075 molecules (test set)
10-fold CV: ACC=0.78 / AUC=0.85
External: ACC=0.71 / AUC=0.81

No
CYP2D6 inhibitor?

Cytochrome P450 2D6 inhibitor: SVM model built on 3664 molecules (training set)
and tested on 1068 molecules (test set)
10-fold CV: ACC=0.79 / AUC=0.85
External: ACC=0.81 / AUC=0.87

No
CYP3A4 inhibitor?

Cytochrome P450 3A4 inhibitor: SVM model built on 7518 molecules (training set)
and tested on 2579 molecules (test set)
10-fold CV: ACC=0.77 / AUC=0.85
External: ACC=0.78 / AUC=0.86

No
Log Kp (skin permeation)?

Skin permeation: QSPR model implemented from
Potts RO and Guy RH. 1992 Pharm. Res.

-7.35 cm/s

Druglikeness

Lipinski?

Lipinski (Pfizer) filter: implemented from
Lipinski CA. et al. 2001 Adv. Drug Deliv. Rev.
MW ≤ 500
MLOGP ≤ 4.15
N or O ≤ 10
NH or OH ≤ 5

0.0
Ghose?

Ghose filter: implemented from
Ghose AK. et al. 1999 J. Comb. Chem.
160 ≤ MW ≤ 480
-0.4 ≤ WLOGP ≤ 5.6
40 ≤ MR ≤ 130
20 ≤ atoms ≤ 70

None
Veber?

Veber (GSK) filter: implemented from
Veber DF. et al. 2002 J. Med. Chem.
Rotatable bonds ≤ 10
TPSA ≤ 140

0.0
Egan?

Egan (Pharmacia) filter: implemented from
Egan WJ. et al. 2000 J. Med. Chem.
WLOGP ≤ 5.88
TPSA ≤ 131.6

0.0
Muegge?

Muegge (Bayer) filter: implemented from
Muegge I. et al. 2001 J. Med. Chem.
200 ≤ MW ≤ 600
-2 ≤ XLOGP ≤ 5
TPSA ≤ 150
Num. rings ≤ 7
Num. carbon > 4
Num. heteroatoms > 1
Num. rotatable bonds ≤ 15
H-bond acc. ≤ 10
H-bond don. ≤ 5

2.0
Bioavailability Score?

Abbott Bioavailability Score: Probability of F > 10% in rat
implemented from
Martin YC. 2005 J. Med. Chem.

0.55

Medicinal Chemistry

PAINS?

Pan Assay Interference Structures: implemented from
Baell JB. & Holloway GA. 2010 J. Med. Chem.

0.0 alert
Brenk?

Structural Alert: implemented from
Brenk R. et al. 2008 ChemMedChem

2.0 alert: heavy_metal
Leadlikeness?

Leadlikeness: implemented from
Teague SJ. 1999 Angew. Chem. Int. Ed.
250 ≤ MW ≤ 350
XLOGP ≤ 3.5
Num. rotatable bonds ≤ 7

No; 1 violation:MW<1.0
Synthetic accessibility?

Synthetic accessibility score: from 1 (very easy) to 10 (very difficult)
based on 1024 fragmental contributions (FP2) modulated by size and complexity penaties,
trained on 12'782'590 molecules and tested on 40 external molecules (r2 = 0.94)

2.48
 

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