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Benzenesulfonamide

Benzenesulfonamide is a chemical compound with the molecular formula C6H7NO2S.
It is a derivative of benzene and sulfonamide, and is used in various pharmaceutical and research applications.
Benzenesulfonamide and its derivatives have been studied for their potential therapeutic effects, such as antifungal, antimicrobial, and anti-inflammatory properties.
Researchers utilize benzenesulfonamide in medicinal chemistry, organic synthesis, and drug discovery efforts to explore its utility and optimize its performance.
This MeSH term provides a concise, informative overview of this important chemical moiety and its applications in the biomedical sciences.

Most cited protocols related to «Benzenesulfonamide»

Lauss et al. (44 (link)) developed a set of 374 genes associated with breast cancer by compiling a consensus list from 44 published gene lists developed for breast cancer prognosis. This consensus list of 374 genes is also the first entry in GeneSigDB, a gene signature database created from supporting tables of research publications (45 (link)). This 374 gene list was shown to be predictive of recurrence when used as a biomarker-set to classify 1067 breast cancer patients. Since Lauss et al. (44 (link)) showed that probability of expression of these genes is associated with breast cancer recurrence, we pasted the list into the ‘Up List’ text box of the search interface of LCB, checked only the ‘Up’ checkbox, and switched the ‘Aggravate/Reverse’ slide-bar to ‘Reverse’ (Figure 1). After clicking the ‘Search’ button, the top returned experimental conditions are: Tyrphostin AG 1478 applied to A375, a skin cancer cell-line; PD0332991 applied to MDAMB231 and MCF10A breast cancer cell lines; Aminopurvalanol applied to PC3, a prostate cancer cell-line; and a benzenesulfonamide derivative also applied to PC3. Tyrphostin AG 1478 is an EGFR inhibitor, and was already reported to inhibit proliferation and progression of human breast cancer cell-lines (46 (link)). PD0332991 is a kinase inhibitor targeting CDK4/6 and was reported to suppress proliferation of ER+ human breast cancer lines (47 ). Aminopurvalanol is a CDK kinase inhibitor that exerts its effects on the canonical MAPK pathway by suppressing proliferation of several mammalian cell-lines including MCF7, a human breast cancer cell-line (48 ). The benezensulfonamide derivative is a bioactive small molecule of unknown targets and mechanisms. Among these top five matched perturbations, PD0332991 is interesting since the top matches were applied to breast cancer lines and there are three of them. Clicking on the first PD0332991 matched perturbation, the one that was applied to MDAMB231 cells at 2 µm and gene expression was measured at 24 h, we can see that the perturbation is highlighted on the experiment canvas within the average change view. The coloring of the perturbation indicates that it is not a strong perturbation relative to the other perturbations applied to the MDAMB231 cells within this same batch. The 10 µm PD0332991 perturbation, which is another top matched experiment for our query, is located left to the highlighted perturbation, suggesting that there is high similarity in gene expression changes induced signatures for these two perturbations (Figure 5A). WikiPathways (27 (link)) enrichment analysis of the down-regulated genes for this perturbation shows high enrichment for ‘DNA replication’, ‘G1 to S cell cycle control’ and ‘cell cycle’ (Figure 5B and C). This enrichment result is consistent with the knowledge that PD0332991 is a CDK inhibitor. Enrichment analysis using the MGI Mammalian Phenotype gene-set library suggests enrichment for genes that when individually knocked out in mice can cause ‘abnormal cell cycle’ and ‘abnormal cell proliferation’, confirming that PD03322991 is likely attenuating cell proliferation through inhibition of the cell cycle. For the top matched perturbation: Tyrophostin AG 1478 the perturbation appears relatively strong on the experimental canvas (Figure 5D). The WikiPathways enrichment analysis of the down genes shows enrichment for the same cell cycle related terms seen for PD0332991 as well as ‘MAPK pathway’ terms which are not present in the PD0332991 WikiPathways enrichment analysis. This observation is consistent with the notion that Tyrophostin AG 1478 inhibits EGFR. The MGI Mammalian Phenotype enrichment analysis results suggest ‘abnormal cell cycle’ and ‘abnormal tumor incidence’ as the two most highly enriched terms. This is consistent with the knowledge about the anti-tumor effects of Tyrophostin AG 1478 (Figure 5E and F).
While the analysis so far confirms known drugs and their mechanisms of action in cell-lines, LCB is useful for discovering potential mechanisms for new drugs. The benezensulfonamide derivative, the fifth drug on the list, has no known targets or mechanisms. The experimental canvas shows that this perturbation is relatively strong (Figure 5G). The WikiPathways enrichment analysis of the down genes suggest the same three cell cycle related terms shown for PD0332991 and Tyrophostin AG 1478, but also the ‘IL-3 and IL-7 pathways’. This suggests that this compound may be related to a process that inhibits the expression of genes that belong to Interleukin-related pathways. The MGI Mammalian Phenotype enrichment analysis points to tumor proliferation related terms but also contain ‘abnormal blood cell’, which adds support for a potential role for this benezensulfonamide derivative to engage with interleukin-related pathways, since interleukins are expressed in the hematopoietic system and disruption of these pathways can lead to blood cell abnormalities (Figure 5H and I).
Publication 2014
Bacterial strains used E. coli strains used included laboratory E. coli strain HB101 (O: rough), commensal strain HS (O9: H4), and classic human EPEC strains E2348/69 (serotype O127: H6), B171-8 (O111: NM), and JCP88 (O119: B14) as described in several publications [8 (link)–12 (link)]. EPEC mutants included JPN15, an E2348 derivative which has lost the EPEC adherence factor (EAF) plasmid [13 (link)], UMD874, the espF mutant derived from E2348, which is deficient in host cell killing [3 (link), 14 (link)], and SE1010, with a mutation in sepZ (also called espZ), which is defective in type III secretion [15 (link)]. Bacteria were added to yield a multiplicity of infection (MOI) of 100:1.
Materials The following reagents were obtained from Sigma-Aldrich Chemicals: α,β-methylene-ADP, adenosine, adenosine 5′-monophosphate (AMP), tetramisole (also called levamisole), polymyxin B, neomycin, purified phosphatidylinositol-specific phospholipase C (PI-PLC, from Bacillus cereus), and zinc acetate. BIOMOL (Plymouth Meeting, PA, USA) was the source of the BIOMOL GREEN reagent used in the phosphate release assay for nucleotidase activity and of U73122, a PI-PLC inhibitor. U73122 is 1-(6-[17 beta-3-methoxyestra-1,3,5- (10) triene-17-yl] amino/hexyl) 1H-pyrroledione. A cell permeant PI-PLC activator, 3M3-FBS, was from the Calbiochem Division of EMD Biosciences (La Jolla, CA, USA). 3M3-FBS is 2,4,6-trimethyl-N-(m-3-trifluoromethylphenyl)benzenesulfonamide. Phosphate-free DMEM medium was purchased from MP Biomedicals (formerly ICN Biomedicals, Aurora, OH, USA). UNIFILTER plates were from Whatman (Clifton, NJ, USA).
Bacterial culture E. coli strains were grown overnight in Luria-Bertani (LB) broth at 37°C with 300 rpm shaking, then subcultured for 2 h in serum-free DMEM/F12 medium supplemented with 18 mM NaHCO3, 25 mM hydroxyethylpiperazine ethanesulfonic acid (HEPES) buffer, pH 7.4, and 1% D-mannose as previously described [3 (link)]. For experiments with bacteria in minimal medium, bacteria were subcultured at a dilution of 1:2,000 into minimal medium (M9 salts plus casamino acids supplemented with 2 mM glucose). For convenience we used M9-CA liquid broth packets (E. coli Fast Media, MBI-Fermentas, Hanover, MD, USA) and added 2 mM glucose before use.
Cell culture T84 colon cancer cells were grown in DMEM/F12 medium supplemented with 7.5% fetal bovine serum (Gibco/Invitrogen, Grand Island, NY, USA), 18 mM NaHCO3, 20 μg/ml vancomycin, and 15 μg/ml gentamicin as previously described [16 (link)]. Ussing chamber studies of secretion were performed on T84 cell monolayers grown in Snapwell inserts (Corning Costar, Corning, NY, USA). The Snapwell inserts, which had a 0.4 μm pore size, were coated with 32 μg collagen per well by applying 0.16 ml of 0.2 mg/ml type III collagen (Sigma; dissolved in warm 0.2 M acetic acid) to the Snapwell and allowing it to dry in the tissue culture hood under UV light. T84 cells were seeded onto the Snapwell inserts at ~1.2 × 106 cells per well and allowed to grow to confluency for 7–9 days. At this time the monolayers had transepithelial electrical resistances (TER) of 400–1,000 Ω · cm2.
Assay for ecto-5′-nucleotidase by phosphate release An assay for ecto-5′-nucleotidase activity in living cells was developed based on the ability to detect inorganic phosphate (Pi) released from 5′-AMP. This method has been used to detect activity of protein phosphatases such as PTEN [17 (link)] and lipid phosphatases [18 (link)] and is based on sensitive detection of low levels of Pi using the BIOMOL GREEN reagent, an enhanced and stabilized formulation of malachite green. To carry out the assay a phosphate-free buffer was used consisting of (in mM): NaCl, 154; KCl, 2: MgCl2, 4; NaHCO3, 18: HEPES, pH 7.4, 25; and glucose, 10. This buffer is referred to as nucleotidase buffer. To measure ecto-5′-nucleotidase activity, the cell monolayer was rinsed once with sterile normal saline, then the medium was replaced with warm nucleotidase buffer. For cells in a 48-well plate, 0.25 ml of nucleotidase buffer were added per well, and the cells were allowed to rewarm to 37°C in the CO2 incubator. During pipetting the multiwell plate was kept warm using a metal heating block set at 37°, and a stopwatch was used to time the AMP addition and to terminate the assay. The procedure used for measuring monolayer activity was slightly different from that used to measure 5′-nucleotidase activity released into the supernatant, as described below.
Cell-bound or monolayer activity To measure cell-bound ecto-5′-nucleotidase activity in cell monolayers, 5′-AMP was added to yield a final concentration of 0.2 mM to quadruplicate wells. Two other wells were left without addition of AMP (the “no AMP blank”). After a 10-min incubation at 37° an aliquot (usually 50 μl) was removed and quickly transferred to a well of a 96-well plate to terminate the reaction.
E. coli-induced release of nucleotidase activity into the supernatant medium For nucleotidase release experiments, the cell monolayer was changed to warm, phosphate-free DMEM, then infected with an E. coli strain for 35 min to allow adherence, then the medium was changed to nucleotidase buffer and the infection was allowed to continue for 2 or 3 h. Note that in this procedure any nucleotidase activity that is released in the first 35 min is discarded and not detected by our method. However, this two-stage procedure with the medium change was necessary because EPEC bacteria did not adhere normally if they first encountered the host cell in nucleotidase buffer. After a period of infection, supernatant medium was collected with a multichannel pipettor and transferred to the wells of a Whatman UNIFILTER plate (a 96-well with 0.45-μm membrane for sterile filtration). Sterile filtrates were prepared by centrifugation with collection of the filtered medium into another 96-well plate placed beneath the UNIFILTER as previously described [19 (link)]. Once again, experimental conditions were usually done in groups of six, with two wells not receiving any AMP (no AMP blanks) and four wells receiving 0.2 mM AMP. Again, the usual assay condition was 10 min at 37° before the reaction was stopped by addition of 10 μl of 1 M HCl (“stop solution”).
BIOMOL GREEN detection of phosphate released from AMP Stopped samples in a 96-well plate were brought to 100 or 110 μl volume with water if necessary, then treated with 100 μl of BIOMOL GREEN reagent. A standard curve of inorganic phosphate was prepared and run with every experiment; standards and unknown samples were incubated at room temperature for 20 min to allow a green color to develop, then the 96-well plate was read on a multiwell plate spectrophotometer at 620 nm. Unknown values were calculated from the standard curve using a hyperbolic curve fit using GraphPad Prism software, version 4.0. Results of monolayer activity were expressed as nmol of Pi produced/min per 106 cells. For experiments showing nucleotidase release, the results were often expressed as nmol Pi released/ min per well since the assay was done on a cell-free filtrate and because we often noted some detachment of cells during the longer incubations of 2–3 h needed to observe release.Although we believed we were developing a new method for assay of ecto-5′-nucleotidase by phosphate release, during the course of this work another group reported using a virtually identical method, also based on detection of phosphate released from 5′-AMP [1 (link)].
Detection of CD73 by Western immunoblot To prove that the released 5′-nucleotidase activity we measured was of host cell rather than bacterial origin, we performed immunoblots on the supernatants of infected T84 cells with antibodies against CD73. Initial attempts at immunoblotting using a commercially available monoclonal anti-CD73 antibody (Abnova Corp., Taipei, Taiwan) were unsuccessful. Dr. Linda F. Thompson, Oklahoma Medical Research Foundation, kindly sent us mouse monoclonal antibodies against human CD73 which had been generated by Dr. Wolf Gutensohn several years earlier. Of these, the two antibodies that gave the best results were designated CD73.4 and CD73.6 by Dr. Gutensohn; both were of isotype IgG2b and were used at a concentration of 1 μg/ml. After washings, the secondary antibody was goat anti-mouse IgG2b conjugated to peroxidase at a dilution of 1:3,000 (Roche Molecular Biochemicals, Indianapolis, IN, USA). Blots were developed by chemiluminescence as previously described [20 (link)].
Ussing chamber studies A Snapwell insert containing a monolayer of T84 cells was placed in the plexiglass “slider” and inserted into the Ussing chamber (Physiologic Instruments, San Diego, CA, USA) at 37°C and continuously short-circuited by a four electrode, automatic voltage-clamp apparatus which measured short-circuit current (Isc) and transepithelial resistance (TER); chamber fluid resistance was automatically subtracted. Transepithelial resistance was determined by passing 10-s 10-mV current pulses through the tissues. Short-circuit current was measured by passing sufficient current through the tissues via Ag/AgCl electrodes to reduce the spontaneous transepithelial potential to zero. The composition of the tissue bathing solution was (in mM): 140 Na+, 124 Cl, 21 HCO3-, 5.4 K+, , 1.2 Mg2+, 1.2 Ca2+, and 10 glucose. Raw short-circuit current (Isc) values were converted to μA per cm2 by dividing by the area of the Snapwell monolayer (1.13 cm2). Other details of the Ussing chamber methods were exactly as described [16 (link)].
Protein assay Protein assay was by the Coomassie blue dye binding assay method of Bradford, using a Bio-Rad kit [21 (link)].
Expression of ecto-5′-nucleotidase RNA by reverse transcription and real-time polymerase chain reaction (PCR) T84 cells grown in 24-well plates were infected with EPEC for 35 min, then the medium was changed to remove unbound bacteria. Three hours after the medium change, ciprofloxacin was added to 25 μg/ml to kill EPEC and the incubation was continued 1 more hour. Old medium was removed, and the cell monolayer was lysed in extraction buffer with 10% β-mercaptoethanol (RNeasy Kits, Qiagen, Valencia, CA, USA). RNA was subjected to reverse transcription using Invitrogen Superscript III reverse transcriptase; 5 μl of purified RNA was used per 50 μl reaction, and gene-specific primers at 0.2 μM were used. Reverse transcription reaction was at 55° for 1 h. Copy DNA from reverse transcription was diluted 100-fold, then analyzed by quantitative real-time PCR using the same oligonucleotide primers. For ecto-5′-nucleotidase the primers used were 5′-TTC CAC CCT GAA GAA GGC CTT TGA-3′ (forward) and 5′-ATA ACT GGG CAC TCG ACA CTT GGT-3′ (reverse). As a normalizing gene we used glyceraldehyde phosphate dehydrogenase (GAPDH) as described by Khan et al. [22 (link)] except that we redesigned longer primers which were 5′-TCG ACA GTC AGC CGC ATC TTC TTT-3′ and 5′-ACC AAA TCC GTT GAC TCC GACC CTT-3′. PCR was carried out using a MyiQ Single-Color qRT-PCR machine from Bio-Rad (Hercules, CA, USA) using SYBR Green as the dye to monitor the amplification. Relative expression was calculated by the ΔΔCt (“Livak”) method as described [23 ], where Ct is the number of cycles to threshold. SYBR Green PCR reagents were from Bio-Rad and to reduce the cost, the PCR reaction volume was reduced to 25 μl. PCR was performed using a two-step protocol with an annealing temperature of 58.7° and denaturation at 95° for 30 s each (i.e, no extension step) for 35 cycles. Thermal melt curve analysis was performed at the end of the PCR amplification and showed a single sharp peak for the genes analyzed.
Data analysis and presentation All error bars shown in graphs and error values reported in the text are standard deviations. Significance was tested by one-way analysis of variance (ANOVA) with the Tukey-Kramer post-test for multiple comparisons, using InStat software for the Macintosh from GraphPad software (San Diego, CA, USA). Graphs were prepared using Prism 4.0 software, also from GraphPad. Asterisks shown on graphs indicate a p value of < 0.05.
Publication 2007
The problem of the solubility prediction was solved using the Python code developed for the purpose of this study by the hyperparameter tuning of 36 regression models utilizing a variety of algorithms, including linear models, boosting, ensembles, nearest neighbors, neural networks, and also some other types of regressors. The search for their optimal parameters was carried out using the Optuna study, which is a freely available Python package for hyperparameter optimization [61 ]. The collection of the tuned models was formulated after 5000 minimization trials using TPE (Tree-structured Parzen Estimator) as a sampler of the search algorithm. TPE is a computationally efficient model-based optimization algorithm that uses a probability density function to model the relationship between hyperparameters and performance metrics. To evaluate the performance of each regression model, a new custom score function was developed that combines multiple metrics to take into account both the model’s accuracy and ability to generalize. The actual mathematical formula used for the loss computation is the following: losstrain=MSEtrainLC,train+MSEtrainLC,trainMSEtrainLC,test+MSEtrain(1+100·Ntraintpos+10·Ntrainout)
where all terms were computed on the training dataset. The last term comprises the value of the mean squared error ( MSEtrain ) between the predicted and actual values of the target variable and two penalties on the number of positive values ( Ntrainpos) and outliers ( Ntrainout ). The first penalty is associated with the formally acceptable predicated values since the models were trained against the values of solubility expressed as the logarithm of the mole fraction and, as such, should always be positive. The latter penalty directs the acceptance of models with as few as possible outlying data points, defined as 3 times higher than the standard deviation. The first two terms in Equation (1) were obtained from the learning curve analysis (LCA) of the scikit-learn 1.2.2 library [51 ] and provide information on the model’s performance for different training set sizes. It is worth mentioning that LCA utilizes cross-validation (CV), which was set here to a 5-fold CV of the training dataset. The MSEtrainLC,train and MSEtrainLC,test values were obtained from the learning curve analysis, which provides information on the model’s ability to generalize to new, unseen data. The learning curve analysis (LCA) was performed using the sklearn.model_selection.learning_curve function from the scikit-learn library [51 ]. Since LCA can be computationally expensive, here, only two-point computations were performed by including 50% to 100% of the total data. The final model’s assessments via LCA were conducted using 20-point computations. The values included in the custom loss correspond to the mean MAE values obtained on the largest training set size. Hence, such a custom loss function combines the two types of components providing information on the model’s accuracy and ability to generalize to new, unseen data. Overall, this approach is regarded as a robust and reliable solubility prediction model that can be used for various applications and screening for new solvents.
The final performance of all models was evaluated using loss values characterizing test and validation subsets. The ensemble model (EM) was defined by the inclusion of the subset of regression models with the lowest values of both criteria, and the final predictions were averaged over selected models.
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Publication 2023
cDNA Library Conditioning, Psychology Learning Curve Nevus Python Solvents Trees

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Publication 2013
Animals benzenesulfonamide Biological Assay Biopharmaceuticals Buffers Calcium, Dietary DNA Library Egtazic Acid Females HEPES Hindlimb Institutional Animal Care and Use Committees Mitochondria Mitochondria, Muscle Rats, Wistar Serum Albumin, Bovine Skeletal Muscles tetramethylrhodamine methyl ester
To a stirred
suspension of 6-amino-3-methyl-3,4-dihydroquinazolin-2(1H)-one (11) (100 mg, 0.421 mmol, 1.0 equiv) in dichloromethane
(10 mL) was added pyridine (0.20 mL, 2.48 mmol, 5.9 equiv), followed
by 2-methoxybenzene-1-sulfonyl chloride (130 mg, 0.631 mmol, 1.5 equiv).
After 2 h, the solvent was evaporated and the residue was partitioned
between ethyl acetate and aqueous 2 M HCl. The organic layer was collected,
washed with water and brine, dried over magnesium sulfate, filtered,
and concentrated to a residue. The residue was dissolved in dimethyl
sulfoxide (DMSO, ∼1 mL) and purified by automated HPLC to provided
the desired material (50 mg, 34%). 1H NMR (400 MHz, DMSO-d6) δ 2.78 (s, 3H), 3.91 (s, 3H), 4.25
(s, 2H), 6.59 (d, J = 9.16 Hz, 1H), 6.79–6.81
(m, 2H), 6.97 (t, J = 7.5 Hz, 1H), 7.14 (d, J = 8.2 Hz, 1H), 7.52–7.56 (m, 1H), 7.68 (dd, J = 1.4, 7.8 Hz, 1H), 9.09 (s, 1H), 9.64 (s, 1H); HRMS [M
+ H] for C16H18N3O4S,
calcd 348.1013, found 348.1019; LCMS [M + H] = 384.1, >99% (t = 1.23 min).
Publication 2012
1H NMR anisole brine ethyl acetate High-Performance Liquid Chromatographies Lincomycin Methylene Chloride pyridine Solvents Sulfate, Magnesium sulfonyl chloride Sulfoxide, Dimethyl

Most recents protocols related to «Benzenesulfonamide»

Example 54

[Figure (not displayed)]

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A microwave vessel was charged with N-[3-(5-bromo-1H-pyrazolo[3,4-b]pyridine-3-carbonyl)-2,6-difluorophenyl]methanesulfonamide (60.0 mg, 0.139 mmol), XPhos Pd G3 (3.53 mg, 0.00417 mmol) and [4-(1H-tetrazol-5-yl)phenyl]boronic acid (31.7 mg, 0.167 mmol) and purged with argon. Degassed 1,4-dioxane (0.464 mL) and degassed aqueous 1.5 M Potassium Carbonate (0.325 mL, 0.487 mmol) were added and the mixture was heated to 110° C. under microwave irradiation for 60 minutes. After cooling, the mixture was diluted with EtOAc and neutralized with sat. NH4Cl solution. The organic phase was concentrated under reduced pressure and the product isolated by flash chromatography (DCM+MeOH (+1% formic acid) 5% to 15%), triturated with MeOH and dried at 100° C. in a vacuum oven to yield N-[2,6-difluoro-3-[5-[4-(1H-tetrazol-5-yl)phenyl]-1H-pyrazolo[3,4-b]pyridine-3-carbonyl]phenyl]methanesulfonamide (21.0 mg, 0.0423 mmol, 30% yield).

Analytical Data:

    • 1H NMR (200 MHz, DMSO) δ 14.85 (s, 1H), 9.75 (s, 1H), 9.10 (d, J=2.1 Hz, 1H), 8.86 (d, J=2.2 Hz, 1H), 8.25-8.00 (m, 4H), 7.97-7.81 (m, 1H), 7.41 (td, J=8.9, 1.3 Hz, 1H), 3.12 (s, 3H);

MS: [M−1]=495.2.

[Figure (not displayed)]

A microwave vessel was charged with N-[3-(5-bromo-1H-pyrazolo[3,4-b]pyridine-3-carbonyl)-2,6-difluorophenyl]methanesulfonamide (60.0 mg, 0.139 mmol), XPhos Pd G3 (5.89 mg, 0.00696 mmol) and (4-Carbamoylphenyl)boronic acid (27.5 mg, 0.167 mmol) and purged with argon. Degassed 1,4-dioxane (0.464 mL) and degassed aqueous 1.5 M Potassium Carbonate (0.325 mL, 0.487 mmol) were added and the mixture was heated to 110° C. under microwave irradiation for 60 minutes. After cooling, the mixture was diluted with EtOAc and neutralized with sat. NH4Cl solution. The solvents were removed under reduced pressure and the product isolated by flash chromatography (DCM+MeOH, 5% to 15%) and dried at 100° C. in a vacuum oven to yield 4-[3-[2,4-difluoro-3-(methanesulfonamido)benzoyl]-1H-pyrazolo[3,4-b]pyridin-5-yl]benzamide (40.0 mg, 0.0789 mmol, 57% yield).

Analytical Data:

    • 1H NMR (200 MHz, DMSO) δ 9.06 (d, J=1.9 Hz, 1H), 8.82 (d, J=2.0 Hz, 1H), 8.14-7.80 (m, 6H), 7.49-7.33 (m, 2H), 3.11 (s, 3H);

MS: [M−1]=470.3

[Figure (not displayed)]

A microwave vessel was charged with N-[3-(5-bromo-1H-pyrazolo[3,4-b]pyridine-3-carbonyl)-2,6-difluorophenyl]methanesulfonamide (60.0 mg, 0.139 mmol), XPhos Pd G3 (5.89 mg, 0.00696 mmol) and 4-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)benzenesulfonamide (47.3 mg, 0.167 mmol) and purged with argon. Degassed 1,4-dioxane (0.464 mL) and degassed aqueous 1.5 M potassium carbonate (0.325 mL, 0.487 mmol) were added and the mixture was heated to 110° C. under microwave irradiation for 60 minutes. After cooling, the mixture was diluted with EtOAc and neutralized with sat. NH4Cl solution. The solvents were removed under reduced pressure and the product isolated by flash chromatography (DCM+EtOAc, 50% to 100%) and dried at 100° C. in a vacuum oven to yield 4-[3-[2,4-difluoro-3-(methanesulfonamido)benzoyl]-1H-pyrazolo[3,4-b]pyridin-5-yl]benzenesulfonamide (31.0 mg, 0.0574 mmol, 41% yield). 1H NMR (200 MHz, DMSO) δ 9.07 (d, J=2.1 Hz, 1H), 8.84 (d, J=2.1 Hz, 1H), 8.12-7.78 (m, 4H), 7.50-7.32 (m, 2H), 3.11 (s, 3H); [M−1]=506.2.

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Patent 2024
Following General Procedure 1, purification
by flash column chromatography
(0–30% EtOAc in petroleum ether) yielded 3j as
a colorless oil (48 mg, 34%). 1H NMR (400 MHz, DMSO-d6): δ 9.90 (s, 1H), 7.88–7.79 (m,
2H), 7.63–7.57 (m, 2H), 7.52–7.46 (m, 1H), 7.43–7.35
(m, 3H), exchangeable proton not visible. 13C{1H} NMR (101 MHz, DMSO-d6): δ 192.8,
164.5 (d, J = 251.9 Hz), 138.5, 137.1, 135.6 (d, J = 2.6 Hz), 130.3, 129.8 (d, J = 9.6 Hz),
126.2, 125.7, 119.3, 116.7 (d, J = 22.9 Hz). 19F{1H} NMR (376 MHz, DMSO-d6): δ −106.5. νmax: 1688, 1332,
1150 cm–1. HRMS: m/z calculated for C13H11NO3FS+, 280.0444 [M + H]+. Found m/z, 280.0445, Δ = 0.4 ppm. Data consistent with that
available in the literature.23 (link)
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Publication 2024
The molecular modeling studies were carried out using Molecular Operating Environment (MOE, 2019.0102) software. The X-ray crystallographic structure of Hexokinase-2 complexed with the reference compound [2-amido-6-benzenesulfonamide glucosamine derivative (PDB ID: 5HFU)] was downloaded from the protein data bank (https://www.rcsb.org/structure/5HFU). All the tested compounds were compared to the reference compound.
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Publication 2024

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Publication 2024

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The M-3M3FBS is a laboratory equipment product manufactured by Bio-Techne. It serves as a core functional component without further details on its intended use.
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Bovine serum albumin (BSA) is a common laboratory reagent derived from bovine blood plasma. It is a protein that serves as a stabilizer and blocking agent in various biochemical and immunological applications. BSA is widely used to maintain the activity and solubility of enzymes, proteins, and other biomolecules in experimental settings.
Sourced in United States
The Agilent 6320 Ion Trap mass spectrometer is a highly sensitive analytical instrument used for the detection and identification of chemical compounds. It operates by ionizing samples and then using electric and magnetic fields to separate the ions based on their mass-to-charge ratio. The resulting mass spectrum provides detailed information about the molecular composition of the sample.
Sourced in Germany, United States, India, Japan, Switzerland
Silica gel 60 F254 is a type of silica gel thin-layer chromatography (TLC) plate. It is a planar solid support material used for the separation and identification of chemical compounds. The silica gel 60 F254 plate contains a fluorescent indicator that allows for the visualization of separated compounds under ultraviolet (UV) light.

More about "Benzenesulfonamide"

Benzenesulfonamide, also known as BS or phenylsulfonamide, is a versatile chemical compound with the molecular formula C6H7NO2S.
It is a derivative of both benzene and sulfonamide, making it a valuable compound in various pharmaceutical, research, and industrial applications.
Benzenesulfonamide and its derivatives have been extensively studied for their potential therapeutic effects, including antifungal, antimicrobial, and anti-inflammatory properties.
Researchers in the fields of medicinal chemistry, organic synthesis, and drug discovery utilize benzenesulfonamide to explore its utility and optimize its performance.
Related compounds like DMSO (dimethyl sulfoxide), sulfadiazine, celecoxib, and T0901317 also share structural similarities and have been investigated for their own unique applications.
Sodium hydroxide (NaOH) and silica gel 60 F254 are commonly used in the synthesis and purification of benzenesulfonamide derivatives.
Analytical techniques like mass spectrometry, using an Agilent 6320 Ion Trap mass spectrometer, and chromatography, employing silica gel, are often employed to characterize and analyze benzenesulfonamide and its analogues.
Bovine serum albumin (BSA) may also be utilized in benzenesulfonamide-based assays or experiments.
The versatility and potential of benzenesulfonamide make it an important chemical moiety in the biomedical sciences, with researchers continually exploring new applications and optimizing its performance through innovative approaches and techniques.