Month: November 2022

Ray, Avishikta; Mishra, Rakhi; Singh, Anju; Biswal, Pramod K.; Yadav, Reenu; Ghatuary, Shailesh Kumar published an article in 2020, the title of the article was Phytochemistry, pharmacology and ethnomedicinal properties of Aegle marmelos.Electric Literature of 456-12-2 And the article contains the following content:

A review. Aegle marmelos is widely used by the traditional healers for treatments of various diseases like diarrhea, dysentery, diabetes, ulcer, inflammation etc. The variety of secondary metabolites are present in this plant which impart its medicinal uses. Further number of active constiuetns has been isolated from the Aegle marmelos. Present review focused on traditional uses, phytochem., pharmacol. and toxicol. of Aegle marmelos to support potential scope for advance ethnopharmacol. study. The extract of Aegle marmelos is reported to have numerous significant pharmacol. activities like antihyperglycemic, anti-inflammatory, antipyretic, analgesic, anticonvulsant, antihistaminic, anxiolytic, antidepressant, antioxidant, hepatoprotective, antimicrobial, analgesic, antifungal, neuroprotective etc evaluated by using various animal models. The present study summaries selected scientific evidence on phytochem., pharmacol. properties and ethnomedicinal uses of Aegle marmelos. The data was gathered via the Internet (using Scopus, PubMed, Google Scholar, Elsevier, Springer, Science Direct, Researchgate and Web of Science) as well as from libraries and local books. The aim of the current review article is to compile all the relevant published information regarding traditional uses, phytochem. and therapeutic potential of Aegle marmelos. The experimental process involved the reaction of N-(2-Hydroxy-2-(4-methoxyphenyl)ethyl)cinnamamide(cas: 456-12-2).Electric Literature of 456-12-2

The Article related to review aegle leaf phytochem pharmacol ethnomedicinal property, Placeholder for records without volume info and other aspects.Electric Literature of 456-12-2

Referemce:
Amide – Wikipedia,
Amide – an overview | ScienceDirect Topics

On February 15, 2022, Kumar Bishoyi, Ajit; Mahapatra, Monalisa; Sahoo, Chita Ranjan; Kumar Paidesetty, Sudhir; Nath Padhy, Rabindra published an article.Computed Properties of 144-80-9 The title of the article was Design, molecular docking and antimicrobial assessment of newly synthesized p-cuminal-sulfonamide Schiff base derivatives. And the article contained the following:

Antibiotic resistance of bacteria and fungi has been brewing for decades and has now surfaced as a potential public health emergency, globally. Thus, newer potent drug candidates are needed urgently to overcome antibiotic-resistant episodes. As an attempt to overcome the antimicrobial multi-drug resistance problems, a new series of p-cuminal sulfonamide Schiff base congeners 3a-3h were designed, synthesized, and their structures confirmed by several spectral studies. The antimicrobial activities assessment of obtained products was carried out against pathogenic bacteria Staphylococcus aureus, Streptococcus pyogenes, Methicillin-resistant Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae and against pathogenic fungi Candida tropicalis and Trichophyton rubrum. Among them, 3b exhibited significant inhibition of all the strains of bacteria with MIC as 3.12渭g/mL and the compound 3e exhibited the most promising control against both C. tropicalis and T. rubrum (MIC 6.25渭g/mL) in comparison to Ketoconazole as well as good inhibition against both S. aureus and MRSA at MIC 6.25 渭g/mL The presence of sulfamoyl and azomethine groups and some of heteroaryl rings in individual mols. could have increased the antibacterial actions, while the antifungal action could be attributed to the presence of guanyl and acetyl groups in the mol. structure. Furthermore, in silico investigation and drug-likeness have been ascertained with biol. targets. The experimental process involved the reaction of N-((4-Aminophenyl)sulfonyl)acetamide(cas: 144-80-9).Computed Properties of 144-80-9

The Article related to cuminal schiff base reaction sulfanilamide antimicrobial sars, Placeholder for records without volume info and other aspects.Computed Properties of 144-80-9

Referemce:
Amide – Wikipedia,
Amide – an overview | ScienceDirect Topics

Tam, Nguyen Minh; Pham, Minh Quan; Nguyen, Huy Truong; Hong, Nam Dao; Hien, Nguyen Khoa; Quang, Duong Tuan; Thu Phung, Huong Thi; Ngo, Son Tung published an article in 2021, the title of the article was Potential inhibitors for SARS-CoV-2 Mpro from marine compounds.Related Products of 144-80-9 And the article contains the following content:

Preventing the biol. activity of SARS-CoV-2 main protease using natural compounds is of great interest. In this context, using a combination of AutoDock Vina and fast pulling of ligand simulations, eleven marine fungi compounds were identified that probably play as highly potent inhibitors for preventing viral replication. In particular, four compounds including M15 (3-O-(6-O-伪-L-arabinopyranosyl)-尾-D-glucopyranosyl-1,4-dimethoxyxanthone), M8 (wailupemycins H), M11 (cottoquinazolines B), and M9 (wailupemycins I) adopted the predicted ligand-binding free energy of -9.87, -9.82, -9.62, and -9.35 kcal mol-1, resp., whereas the other adopted predicted ligand-binding free energies in the range from -8.54 to -8.94 kcal mol-1. The results were obtained using a combination of Vina and FPL simulations. Notably, although, AutoDock4 adopted higher accurate results in comparison with Vina, Vina is proven to be a more suitable technique for rapidly screening ligand-binding affinity with a large database of compounds since it requires much smaller computing resources. Furthermore, FPL is better than Vina to classify inhibitors upon ROC-AUC anal. The experimental process involved the reaction of N-((4-Aminophenyl)sulfonyl)acetamide(cas: 144-80-9).Related Products of 144-80-9

The Article related to mpro inhibitors marine compound mol docking covid19 antiviral, Placeholder for records without volume info and other aspects.Related Products of 144-80-9

Referemce:
Amide – Wikipedia,
Amide – an overview | ScienceDirect Topics

On February 28, 2022, Varani, Tania; Abdouss, Majid; Azerang, Parisa; Tahghighi, Azar published an article.Quality Control of N-((4-Aminophenyl)sulfonyl)acetamide The title of the article was Acetylenic Sulfones and Acetylenic Sulfonamide Analogs: A Novel and Preferable Antimicrobial Drugs Based on Computational Strategies. And the article contained the following:

This study was done to report virtual screening and mol. docking studies of sulfacetamide derivatives as new antimicrobial drugs, belonging to the pharmacol. class of sulfonamides. For this purpose, sulfonamide functional groups from a library of chem. structures were converted into acetylenic sulfone and acetylenic sulfonamide functional groups to introduce a new class of antimicrobial drugs with mechanisms of action of dihydropteroate synthase inhibitors (DHPS). Initially, a library of compounds containing approx. 170 acetylenic sulfone ligands was created by similarity search method, and a library containing 170 acetylenic sulfonamide ligands was designed to be administered as new inhibitors. After designing, their mol. docking energies were calculated by three software programs including Arguslab4.0.1, AutoDock Vina and Molegro Virtual Docker and the results were compared in terms of binding energy. Although acetylenic sulfonamide compounds showed better results, acceptable results were observed in both groups of compounds Adsorption, distribution, metabolism and excretion (ADME) properties of acetylenic sulfones/acetylenic sulfonamide analogs were also analyzed using the admetSAR program. These new derivatives can be used in drug improvement processes for the treatment of antibacterial infections after performing further studies. The experimental process involved the reaction of N-((4-Aminophenyl)sulfonyl)acetamide(cas: 144-80-9).Quality Control of N-((4-Aminophenyl)sulfonyl)acetamide

The Article related to cetylenic sulfonamide antimicrobial drug computational strategy, Placeholder for records without volume info and other aspects.Quality Control of N-((4-Aminophenyl)sulfonyl)acetamide

Referemce:
Amide – Wikipedia,
Amide – an overview | ScienceDirect Topics

On March 31, 2021, Polunin, K. E.; Ul鈥瞴anov, A. V.; Polunina, I. A.; Buryak, A. K. published an article.Synthetic Route of 685-91-6 The title of the article was Detection and Neutralization of Unsymmetrical Dimethylhydrazine on the Surface of Construction Materials. And the article contained the following:

The construction materials that contacted with unsym. dimethylhydrazine and the desorption solutions obtained when treating the contaminated surface of metals and alloys with water and reagents were studied by chromatog. and mass spectrometry. Neutralization of unsym. dimethylhydrazine was studied using ozone and shungite. Ozonation makes it possible to destroy the toxicant mols. chem. and phys. adsorbed on the surface of metal constructions, due to which they can be reused and utilized. Shungite effectively adsorbs and catalytically decomposes not only unsym. dimethylhydrazine and its transformation products, but also oligomer compounds formed during the storage of hydrazine fuel. Ozonation of spent shungite can increase the efficiency of destructive processes and completeness of its regeneration. The experimental process involved the reaction of N,N-Diethylacetamide(cas: 685-91-6).Synthetic Route of 685-91-6

The Article related to neutralization dimethylhydrazine construction material ozonation, Placeholder for records without volume info and other aspects.Synthetic Route of 685-91-6

Referemce:
Amide – Wikipedia,
Amide – an overview | ScienceDirect Topics

On April 7, 2020, Zeng, Xiaoliang; Long, Zhou; Jiang, Xiaofang; Zhang, Yajun; Liu, Qi; Hu, Jing; Li, Chenghui; Wu, Li; Hou, Xiandeng published an article.Computed Properties of 685-91-6 The title of the article was Single Bimetallic Lanthanide-Based Metal-Organic Frameworks for Visual Decoding of a Broad Spectrum of Molecules. And the article contained the following:

Distinguishing the delicate structural differences among mols. is a critical and challenging task in biol./chem. anal. A mol. decoding strategy has recently become promising to differentiate similar mols., which is advantageous over the common sensing methods mostly used for detecting a single target. However, the design of an ideal mol. decoder is still strictly hindered by the tailored preparation of probes for particular mols. and the severe lack of widespread feasibility. We herein for the first time proposed to use single bimetallic lanthanide-based metal-organic frameworks (Ln-MOFs) as a powerful, versatile probe for fast and facile decoding of homologues, isomers, enantiomers, and even deuterated isotopomers, based on the unique host-guest interaction of a specific target with the Ln-MOF which could provide an according visual output based on the modulated energy transfer process. The experimental process involved the reaction of N,N-Diethylacetamide(cas: 685-91-6).Computed Properties of 685-91-6

The Article related to bimetallic lanthanide metal organic frameworks visual decoding mol, Placeholder for records without volume info and other aspects.Computed Properties of 685-91-6

Referemce:
Amide – Wikipedia,
Amide – an overview | ScienceDirect Topics

Chen, Xingmei; Dang, Limin; Yang, Hai; Huang, Xianwei; Yu, Xinliang published an article in 2020, the title of the article was Machine learning-based prediction of toxicity of organic compounds towards fathead minnow.Safety of N,N-Diethylacetamide And the article contains the following content:

Predicting the acute toxicity of a large dataset of diverse chems. against fathead minnows (Pimephales promelas) is challenging. In this paper, 963 organic compounds with acute toxicity towards fathead minnows were split into a training set (482 compounds) and a test set (481 compounds) with an approx. ratio of 1 : 1. Only six mol. descriptors were used to establish the quant. structure-activity/toxicity relationship (QSAR/QSTR) model for 96 h pLC50 through a support vector machine (SVM) along with genetic algorithm. The optimal SVM model (R2 = 0.756) was verified using both internal (leave-one-out cross-validation) and external validations. The validation results (qint2 = 0.699 and qext2 = 0.744) were satisfactory in predicting acute toxicity in fathead minnows compared with other models reported in the literature, although our SVM model has only six mol. descriptors and a large data set for the test set consisting of 481 compounds The experimental process involved the reaction of N,N-Diethylacetamide(cas: 685-91-6).Safety of N,N-Diethylacetamide

The Article related to sar pimephales promelas organic compound toxicity machine learning, Placeholder for records without volume info and other aspects.Safety of N,N-Diethylacetamide

Referemce:
Amide – Wikipedia,
Amide – an overview | ScienceDirect Topics