| Literature DB >> 35865562 |
Jim Secka1, Arpan Pal1, Francis A Acquah2,3,4, Blaine H M Mooers2,3,4, Anand B Karki5, Dania Mahjoub5, Mohamed K Fakhr5, David R Wallace6, Takuya Okada7, Naoki Toyooka7, Adama Kuta1, Naga Koduri1, Deacon Herndon1, Kenneth P Roberts1, Zhiguo Wang1, Bethany Hileman1, Nisha Rajagopal1, Syed R Hussaini1.
Abstract
This paper describes the synthesis of enamino carbonyl compounds by the copper(i)-catalyzed coupling of acceptor-substituted diazo compounds and tertiary thioamides. We plan to use this method to synthesize indolizidine (-)-237D analogs to find α6-selective antismoking agents. Therefore, we also performed in silico α6-nAchRs binding studies of selected products. Compounds with low root-mean-square deviation values showed more favorable binding free energies. We also report preliminary pharmacokinetic data on indolizidine (-)-237D and found it to have weak activity at CYP3A4. In addition, as enamino carbonyl compounds are also known for antimicrobial properties, we screened previously reported and new enamino carbonyl compounds for antibacterial, antimicrobial, and antifungal properties. Eleven compounds showed significant antimicrobial activities. This journal is © The Royal Society of Chemistry.Entities:
Year: 2022 PMID: 35865562 PMCID: PMC9256013 DOI: 10.1039/d2ra02415b
Source DB: PubMed Journal: RSC Adv ISSN: 2046-2069 Impact factor: 4.036
Fig. 1Traditional methods for synthesizing enamino carbonyl compounds with an exocyclic bond.
Scheme 1Synthetic plan for preparing indolizidine (−)-237D analog.
Screening reactions with N-benzyl thioamidesa
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| Entry | Catalyst | Temp. | Time (h) | 5a |
| 1 | CuBr (5 mol%) | 40 | 24 | 78 |
| 2 | CuBr (10 mol%) | 40 | 24 | 89 |
| 3 | AgSbF6 (10 mol%) | 40 | 16 | 0 |
| 4 | Rh2(OAc)4 (10 mol%) | rt | 2 | 0 |
| 5 | Rh2(OAc)4 (10 mol%) | 40 | 2 | 0 |
| 6 | Ru(PPh3)3Cl2 (10 mol%) | rt | 2 | 0 |
| 7 | Grubbs 1st gen (5 mol%) | rt | 14 | 0 |
| 8 | Grubbs 1st gen (5 mol%) | 40 | 2 | 38 |
| 9 | Ru( | rt | 14 | 0 |
| 10 | Ru( | 40 | 2 | 0 |
| 11 | No catalyst | 40 | 18 | 0 |
| 12 | CuBr (10 mol%) | 40 | 24 | 100 (86) |
Reaction conditions: 3a (0.20 mmol), 4a (0.26 mmol), catalyst (x mol%) in 2.0 mL dichloroethane.
Reactor temperature.
Percent conversion of 3a into 5a as determined by 1H NMR analysis.
As judged by TLC analysis.
2.0 eq. of 4a was used.
As judged by TLC analysis. Re-purified 3a was used along with the gradual addition of 4a.
Isolated yield.
Scope of thioamidesa
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Reaction conditions: 3 (0.125 mmol), 4a (0.250 mmol), and CuBr in 2.00 mL DCE and the reaction stirred.
4a added in three portions over 24 h.
4a added using a syringe pump over 24 hours.
Reaction was heated at 50 °C (reactor temperature).
NMR yield.
Reaction was performed at 1.48 mmol scale.
Reaction was heated at 110 °C (reactor temperature).
Thioamide decomposed.
Scope of acceptor-substituted diazo compoundsa
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Reaction conditions: 3 (0.125 mmol), 4 (0.250 mmol), and CuBr in 2.00 mL DCE and the reaction stirred.
4a added using a syringe pump over 24 h.
Three equivalents of 4 were used.
4 added in three portions over 24 h.
Fig. 2Binding site 2 receptor–ligand interactions using PyMOL and PLIP. (A – D) PyMOL stereo figures of the interactions between representative compounds and the binding site residues of the α6β2 nAChR; (A) 5v, (B) 5f, (C) 5u, and (D) 5c. Broken orange lines represent hydrophobic interactions; magenta broken lines with white spheres = pi-stacking; black broken lines represent salt bridges; straight blue lines represent hydrogen bonds.
Fig. 3Stability analysis of the compounds during simulations. (A–C) The root-mean-square deviation (RMSD) plot of the compounds in complex with α6β2 nAChR with respect to their starting structures as a function of simulation time.
Fig. 4Comparison of docking energy and predicted binding energy using the MMGBSA method. Predicted binding energies are shown as mean ± sd; n = 1000.
Fig. 5Displacement of [3H] cytisine binding in whole brain homogenates. Homogenates were incubated in the presence of 3 nM [3H] cytisine and a low or high concentration of nicotine, anabasine or (−)-237D for 90 min. Specific binding was calculated by subtracting binding in the presence of 50 μM nicotine from total binding. Data represent the mean ± SEM of 3 brains (n = 3) assayed in duplicate. ***p < 0.001.
Fig. 6CYP3A4 activity and potential inhibition by (−)-237D. Assay validation was performed using a linear response curve of resorufin fluorescence and determination if the solvent of acetonitrile exerted any inhibition (A). IC50 curves determined the potency of ketoconazole or (−)-237D inhibition of CYP3A4 activity, and maximum enzyme inhibition (B). From the IC50 curves, calculated maximum inhibition (C) and the IC50 values (D) are presented. It is evident that (−)-237D inhibits significantly less CYP3A4 activity and has a much higher IC50 value. Data represent the mean ± SEM of 3 brains (n = 3) assayed in duplicate. *p < 0.05.
Fig. 7Screening for antimicrobial activity of organic compounds against common pathogens (CA-MRSA, HA-MRSA, Candida albicans, and Campylobacter jejuni). (A) Number of tested organic compounds (shown inside bracket) which showed antimicrobial activity against used pathogens. (B) Zone of inhibition of all effective organic compounds against all tested pathogens. Table S7† contains structures of enamino carbonyl compounds listed in the figure.