Government College

About: Government College is a based out in . It is known for research contribution in the topics: Population & Ring (chemistry). The organization has 4481 authors who have published 5986 publications receiving 57398 citations.

Synthesis, admetSAR Predictions, DPPH Radical Scavenging Activity, and Potent Anti-mycobacterial Studies of Hydrazones of Substituted 4-(anilino methyl) benzohydrazides (Part 2).

Abstract: Background For the past several decades, we are remarking presence of the tuberculosis (TB) as the most common infectious disease leading mortality. Objective Hydrazone containing azometine group (-NHN=CH-) compounds has been reported for broad range of bioactivities such as antiplatelet, analgesic, antiinflammatory, anticonvulsant, antidepressant, antimalarial, vasodilator , antiviral and antimicrobial, etc. Method: For synthesis of our compounds (4a-4d) and (6a-6e), we have treated aromatic amines with methyl terephthalaldehydate in methanol giving us Schiff's bases followed by reductive amination and further treatment with hydrazine hydrate to give acid hydrazides (4a-4d). These acid hydrazides were then treated with different aromatic aldehydes to yield hydrazones (6a-6d). All our synthesized compounds were subjected to FT-IR, NMR, and UV spectroscopic characterization. Results Compounds (4a-4d) and (6a-6e) were found to have highly potent activity against Mycobacteria tuberculosis (Vaccine strain, H37 RV strains): ATCC No- 27294 (MIC:1.6-6.25 μg/mL) than standard anti-TB drugs. Our compounds exhibited good radical scavenging potentials(0-69.2%) as checked from DPPH protocol. All compounds also demonstrated good in-silico ADMET results. Conclusion Our current study revealed promising in-vitro antituberculosis and antioxidant profiles of hydrazidehydrazone analogues.

Assessment of performance of telecom service providers using intuitionistic fuzzy grey relational analysis framework (IF-GRA)

Abstract: Over two decades, telecommunication market has been continuing a huge growth in urban, semi-urban and rural regions of India. Investigating and choosing the desirable cellular mobile telephone service providers (TSPs) based on operative constraint can facilitate to obtain the ideal of TSPs selection. Here, the evaluation commonly encompasses different TSP options under various operational factors; thus, the assessment of TSPs can be considered as a rigorous multi-criteria decision-making (MCDM) issue. This paper initiates a structure for the exploration of the TSPs in the Madhya Pradesh region, India. To do this, a framework associated with grey relational analysis (GRA) on intuitionistic fuzzy sets (IFSs) is planned to obtain the performance of various telecom participants. The developed approach is based on the conception of the best and worst solutions. To find the attribute weights, a divergence measure is developed and employed by relative comparisons. Additionally, to show the proficiency and practicality, a selection problem of TSPs options of Madhya Pradesh circle, India is presented within the IFSs context. By employing the developed model, an expert can enlarge tactics to enhance the performance by standard operational factors. Comparison and sensitivity analysis are considered to validate the developed approach in the prioritization of the TSPs options.

Organochlorine pesticides in the soils of Cardamom Hill Reserve (CHR), Kerala, India: Geo spatial distribution, ecological and human health risk assessment

Abstract: The present study assessed the organochlorine pesticides (OCPs) residues in the soils of Cardamom Hill Reserve (CHR), a tropical humid forest landscape of Idukki District of Kerala, India. The concentrations, spatial distribution, health risk for human (both adults and children) due to individual OCPs and ecological risks were estimated. Soil samples were collected randomly from 22 different sampling locations during May 2017 and 2018. The sample preparation was done by QuEChERS method. A total of 17 persistent Organochlorine pesticides (OCPs) were determined by Gas chromatography in split less mode using Electron Capture Detector (ECD). The limit of detection and quantification for OCPs in the soils ranged from 1.57 to 3.74 ng/g and 4.78 to11.33 ng/g respectively. Spatial distributions of OCPs were evaluated using Arc GIS10.5.1 software. The most frequently found OCPs in the soils of the study area were endrin, β-endosulfan, the isomers of HCH, 4, 4′-DDD, dieldrin and endrin aldehyde. The concentration of ∑OCPs were ranged from 6.35 to 118.29 ng/g. Occurrence of pesticides residues in the soils of CHR is due to both ongoing and past usage. Human health risk assessment parameters like Lifetime average daily dose (LADD), incremental lifetime cancer risk (ILCR) and hazard quotient (HQ) for human adults and children due to individual OCPs were also estimated. Estimated LADD were lower than the reference dose and acceptable daily intake. The estimated human health risks were lower than safe limit of non- cancer risk (HQ ≤ 1.0) and low carcinogenic risks (ILCR below 10–6) in these soils. Finding from the present study provided an overview of the current status of OCPs contamination in the soils for the exposed populations are essentially negligible.

QSAR studies on imidazopyridazine derivatives as PfPK7 inhibitors

Abstract: Quantitative structure–activity relationship (QSAR) studies were carried out on a series of 35 recently synthesised imidazopyridazine derivatives to investigate the structural requirements of their inhibitory activity against malarial kinase, Plasmodium falciparum protein kinase 7 (PfPK7). Partial least square (PLS) methodology coupled with various feature selection methods, viz. stepwise (SW), genetic algorithm (GA) and simulated annealing, was applied to derive QSAR models which were further validated for statistical significance and predictive ability by internal and external validation. The statistically significant best 2D-QSAR model having correlation coefficient r 2 = 0.9190 and cross-validated squared correlation coefficient q 2 = 0.8575 with external predictive ability of pred_r 2 = 0.7212 was developed by SW-PLS with the descriptors like StNE-index, T_N_O_2, T_N_O_7, YcompDipole and SaasCE-index. Molecular field analysis was used to construct the best 3D-QSAR model using GA-PLS method, showing g...