Bareilly College

About: Bareilly College is a based out in . It is known for research contribution in the topics: Quantitative structure–activity relationship & Population. The organization has 171 authors who have published 214 publications receiving 2127 citations.

A population based hybrid FCM-PSO algorithm for clustering analysis and segmentation of brain image

Abstract: Fuzzy c-means (FCM) is a well-known unsupervised clustering algorithm based on fuzzy logic and used in many applications. However, it has some disadvantages. One disadvantage of FCM is that, while dealing with complex problems such as medical image data, it is frequently trapped into local minima during execution, which leads the undesired clustering results. Particle swarm optimization (PSO) is a population based metaheuristic optimization algorithm regarded as a global search approach and used in many optimization problems. To overcome the problem in FCM and in order to achieve better results, a hybrid FCM-PSO algorithm has been proposed by combining the excellent features of FCM and PSO algorithms. The experiment has been executed on a triangular dataset and publicly available real brain datasets and compared their results numerically and visually. The obtained experimental results demonstrate the efficacy of the proposed hybrid FCM-PSO algorithm. Friedman’s statistical test is also carried out to demonstrate the statistically significant performance of all discussed algorithms.

Comparative QSAR Study on Para-substituted Aromatic Sulphonamides as CAII Inhibitors: Information versus Topological (Distance-Based and Connectivity) Indices

Abstract: Comparative quantitative structure–activity relationship studies on para-substituted aromatic sulphonamides carbonic anhydrase II (CAII) inhibitors are reported in this paper. The study is made utilizing (i) information indices along; (ii) distance-based and connectivity indices and (iii) combination of information, distance-based and connectivity type topological indices. The study has shown that distance-based and connectivity type indices are superior for modelling, monitoring and estimating CAII inhibition. The results are critically discussed using a variety of statistical parameters. Our results show that starting from the mono-parametric regression itself, our results are superior: Furthermore, our methodology allowed carrying out much higher-parametric regressions, yielding a nine-parametric model with R 2 as high as 0.8375. The eightparametric regression, gave R 2 = 0.8343. As there is not much difference, we have considered the eight-parametric regression the best.

Food Color Induced Hepatotoxicity in Swiss Albino Rats, Rattus norvegicus.

Abstract: Objective: Certain dietary constituents can induce toxicity and play a critical role in the development of several hepatic disorders. Tartrazine, metanil yellow and sunset yellow are widely used azo dyes in food products, so the present study is aimed to investigate the food color induced hepatotoxicity in Swiss albino rats. Materials and Methods: Swiss albino rats were divided into four groups, each group having six animals. Group I served as control, Group II, Group III and Group IV were administered with 25, 50 and 75 mg/kg body weight blend of sunset yellow, metanil yellow and tartrazine for 30 days. Hepatotoxicity in rats treated with a blend of these food colors was studied by assessing parameters such as serum total protein, serum albumin, serum alkaline phosphatase (ALP) as well as hepatic malondialdehyde (MDA). The activity of superoxide dismutase (SOD), reduced glutathione (GSH) and catalase (CAT) were assessed. Results: Significantly increased concentrations of serum total protein, serum albumin, serum ALP and hepatic MDA and significantly lowered levels of SOD, reduced GSH and CAT in the liver tissue of treated animals were observed when compared with control animals. The alteration in the liver includes necrosis of hepatocytes, infiltration and vacuolation. Conclusion: The result indicates that consumption of food color in diet induces liver tissue damage. The used doses of food color were mostly attributable to hepatocellular damage and drastic alteration in antioxidant defense system.

Quantum chemical QSAR study of flavones and their radical-scavenging activity

Abstract: Flavonoid antioxidants act as scavengers of free radicals by rapid donation of a hydrogen atom. This quantitative structure–activity relationship (QSAR) study of flavones was carried by using selected quantum chemical descriptors. PM3 calculations performed by MOPAC 2000 associated with Cache pro. Molecular weight, dielectric energy (kcal/mole), total energy (Hartree), heat of formation (kcal/mole), highest unoccupied molecular orbital (HOMO) energy (eV), lowest unoccupied molecular orbital (LUMO) energy (eV), log P, molar refractivity (MR), hardness (η), softness (S), chemical potential (μ), electrophilicity index (ω), etc. were tested as descriptors, and various QSAR models were constructed. The best-fit model ( \( r^{{\text{2}}}_{{{\text{CV}}}} = 0.92,r^{2} = 0.96 \)) involved heat of formation, log P, MR, and molecular weight. The overall study indicates that steric bulk and solvation are mainly responsible for the radical scavenging activity of flavones.