12 membered Schiff base macrocyclic ligands, 6,7,14,15-tetra phenyl-1,2,3,4, 4a,8a, 9,10, 11,12, 12a,16a-dodecahydro dibenzo [b,h] [1,4,7,10] tetraazacyclododecine L1, and 14 membered Schiff base macrocyclic ligands, 6,8,15,17-tetramethyl-1,2,3,4, 4a,7,9a, 10,11,12,13,13a,16,18a-tetra decahydro dibenzo[b,i] [1, 4,8,11] cyclotetradecine tetraaza L2, 7,16-bis(2,4- dichloro benz ylidene)-6,8,15,17-tetra methyl-1,2,3,4, 4a,7,9a, 10, 11,12, 13, 13a,16,18a-tetra deca hydro dibenzo [b,i] [1,4,8,11] tetra azacyclo tetra decine L3 and 6,8,15, 17-tetramethyl-1,2,3, 4,4a,9a,10, 11,12,13,13a,18a-dodecahydro dibenzo [b,i] [1,4,8, 11] tetraazacyclo tetradecine (7,16-diylidene) bis(methanylyli dene) bis (N,N-dimethylaniline) L4 were synthesized by condensation reaction between diketone and aliphatic diamines. The metal complexes of the types, [ML1Cl2], [ML2Cl2], [ML3Cl2] and [ML4Cl2] [M= Co(II), Ni(II), Cu(II), Mn(II), Hg(II), and Fe(II)] were prepared by interaction of ligands, L1, L2, L3 and L4 with metal(II) ions. The ligands and their complexes were characterized by elemental analysis, magnetic susceptibility, conductivity measurements and IR, 1H and 13C NMR, UV–Vis spectral studies. The thermal stability of the complexes was also studied by TGA analyses. These studies show that all the complexes have octahedral arrangement around the metal ions. We used CB-Dock, a novel blind docking technique that aims to improve docking precision. With the aid of the cutting-edge docking program Autodock Vina, software online, molecular docking studies were used to evaluate the biological significance of the synthesized ligands and identify the probable and efficient binding mechanisms between the various ligands and the active site of the receptor protein. Affinity binding of both Ligand L3 and L4 to Penicillin binding protein 2x (chain B) with PDB 1PYY were much better than to Penicillin binding protein 2B (chain A) with PDB 1WAE due to the presence of hydrogen and halogen bonds. Therefore, they can be more recommended for drug design study to inhibit bacterial growth due their bioavailability. The biological activities of all compounds were evaluated like in-vitro antioxidant activity or percentage free radical scavenging effect via DPPH method against standard ascorbic acid and in vitro anticancer activity via MTT assay against colon cancer cell lines. Results of the biological activities showed that complex CuL3Cl2 exhibited the highest anti-cancer activity against colon cancer cell line i.e. 70.72±6.3 μg/ml among other copper complexes whereas compound CuL3Cl2 showed best antioxidant activity against ascorbic acid i.e. 75.07±1.96 μg/ml. While the biological activities showed that complex CuL4Cl2 exhibited the highest anti-cancer activity against colon cancer cell line i.e. 42.05±7.4 μg/ml among other copper complexes whereas compound CuL4Cl2 showed best antioxidant activity against ascorbic acid i.e. 65.47±1.37 μg/ml.
Most companies use social media data for business. Sentiment analysis automatically gathers analyses and summarizes this type of data. Managing unstructured social media data is difficult. Noisy data is a challenge to sentiment analysis. Since over 50% of the sentiment analysis process is data pre-processing, processing big social media data is challenging too. If pre-processing is carried out correctly, data accuracy may improve. Also, sentiment analysis workflow is highly dependent. Because no pre-processing technique works well in all situations or with all data sources, choosing the most important ones is crucial. Prioritization is an excellent technique for choosing the most important ones. As one of many Multi-Criteria Decision Mak
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Objectivity is the common denominator between the qualities and elements of a news story that is described as the mother of journalistic arts. When there is doubt about the authenticity of the information contained in the press, whether readable, audible or visual, it means that there is an imbalance in objectivity. When, furthermore, there is an incorrect and intentional use of words in order to influence readers, it means to move away from objectivity as a necessary element in the success of the media institution; and the success of its editorial material.
But the objective interpretation may take several dimensions to the liaison. For the purpose of grasping the interpretation of objectivity among those liaisons working in the
... Show MoreOn Saturday, May 13, 2023, a glorious day was engraved in the history of Al-Kindy College Medical Journal as it is the day of indexing the journal in the Scopus Database Journals. The journal has paced a strenuous journey to make that achievement.
Assessing water quality provides a scientific foundation for the development and management of water resources. The objective of the research is to evaluate the impact treated effluent from North Rustumiyia wastewater treatment plant (WWTP) on the quality of Diyala river. The model of the artificial neural network (ANN) and factor analysis (FA) based on Nemerow pollution index (NPI). To define important water quality parameters for North Al-Rustumiyia for the line(F2), the Nemerow Pollution Index was introduced. The most important parameters of assessment of water variation quality of wastewater were the parameter used in the model: biochemical oxygen demand (BOD), chemical oxygen dem
Polycystic ovary syndrome (PCOS) is a complex endocrine–metabolic disorder characterized by hyperandrogenism, ovulatory dysfunction, insulin resistance, and chronic inflammation resulting in reproductive and metabolic complications. Traditional metformin therapy improves insulin sensitivity, while newer dual incretin agonists, such as tirzepatide, may offer broader metabolic and ovarian protection. The objective of this study is to investigate whether tirzepatide could alter hormonal parameters, metabolism, inflammation, and histopathology of a testosterone propionate–induced PCOS rat model compared with metformin. Thirty prepubertal female Wistar rats were divided into five groups (n = 6). PCOS was induced by testosterone propionate (1
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