Thiagarajar College Autonomous

Madurai, India

Thiagarajar College Autonomous

Madurai, India
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Renjith P.,Cognizant Technology Solutions | Jegatheesan K.,Thiagarajar College Autonomous
International Journal of Toxicological and Pharmacological Research | Year: 2015

Bayesian Logistic Regression (BLR), Bayesian Network (BN), Naïve Bayes (NB), Logistic Regression (LR), Artificial Neural Networks (ANN), Simple Logistic (SL), Lazy Learning (LL), Random Forest (RF), Rotation Forest (Rot-F), and C4.5 (J48) machine learning classifier algorithms were examined to build predictive models for endocrine disrupting chemicals. Datasets of Estrogen Receptor (ER) and Androgen Receptor (AR) disrupting chemicals along with their Binding Affinity (BA) values were used as knowledgebase for building the predictive models. Substructure fingerprints (fragment counts) of knowledgebase chemicals were generated using Kier Hall Smarts topological descriptor that utilizes electrotopological state (e-state) indices. LL, Rot-F, and RF algorithms tested on ER training set (200 molecules) gave superior prediction models with Kappa statistic values of 0.89, 0.85, and 0.89. Whereas in case of AR training set (170 molecules), LL, and RF algorithms gave promising results with Kappa statistic values of 0.95, and 0.93. Each model built using classifier algorithms were tested on both AR and ER test datasets (32 and 24 molecules each) and prediction accuracies of classifying chemicals as endocrine disruptor or non-endocrine disruptor had been calculated. BN, NB, Rot-F, RF, and J48 algorithms on ER test dataset showed prediction accuracy above 80% with RMSE values 0.36, 0.37, 0.38, 0.37, and 0.41 respectively. Whereas in case of AR test dataset, BLR, SL, and LL algorithms gave better results with prediction accuracy above 75% with RMSE values of 0.5, 0.49, and 0.47 respectively. Finally, the significance of chemical substructures towards endocrine disruption activity was characterized and ranked, on the basis of molecular descriptors identified by the RF method. © 2015, International Journal of Toxicological and Pharmacological Research. All rights reserved.

Chelvan A.T.,Thiagarajar College Autonomous | Chitra R.,Center for Fire
Journal of Applied Polymer Science | Year: 2012

The various iron carboxylates such as ferric caprate, ferric laurate, ferric myristate, ferric palmitate, and ferric stearate were synthesized to enhance the photodegradability of polypropylene (PP). The prodegradants (0.2%) synthesized were blended with virgin PP and then blown into films. All the PP films mentioned were exposed to ultraviolet (UV) radiation of 365 nm at room temperature to study the photodegradation behavior of PP with and without the prodegradants under artificial weathering conditions. The photoirradiated films were found to degrade after certain hours of UV exposure, which could be found from the steep increase of hydroxyl, carbonyl, lactone, ester, carboxylic acid, and crystallinity index. At the same time, a sudden decrease of elongation at break percentages and tensile strength; development of surface cracks indicated the scission of the main chain of the PP. The results revealed that PP containing prodegradants degraded at a faster rate than the virgin material. However, the effectiveness of the prodegradants for the photodegradation of PP was found to be in the order: ferric caprate > ferric laurate > ferric myristate > ferric palmitate > ferric stearate. The results showed that the number of carbon atoms present in the alkyl part of the various prodegradants played a vital role in the degradation phenomenon. Furthermore, it could be concluded that the mobility of the alkyl radicals formed from the decomposition of the incorporated prodegradants during artificial weathering played a prominent role in the photooxidative degradation behavior of PP films. © 2011 Wiley Periodicals, Inc.

Balakrishnan G.S.,Liatris Biosciences LLP | Kalirajan J.,Thiagarajar College Autonomous
Current Proteomics | Year: 2016

Tyrosinase a copper-containing metalloprotein that catalyzes the oxidation of tyrosine in particular L-DOPA to L-Dopaquinone, which produces brown pigments in the wounded tissues. The industrial demand for tyrosinase enzyme is increasing as it has a wide range of applications in the field of food, pulp, paper, textile industry, medicine and in environmental technology. In the present investigation, tyrosinase was extracted from Dioscorea alata, a plant source. The enzyme activity of acetone precipitated protein was determined to be 10.6 mkat/ml and the isolated protein depicted the molecular weight of around 40 kDa. The isolated enzyme was confirmed to be tyrosinase using zymogram with 3, 4 dihydroxy- L-phenylalanine as substrate. The tyrosinase from SDS-PAGE band was eluted and precipitated by freeze drying. The precipitated enzyme was then solubilized and the optimum pH and temperature values for maximum enzyme activity were found to be 6.7 and 25°C respectively. Kinetic studies were carried out under optimal conditions and the Km and Vmax value were found to be 7.14 mM and 0.1 s-1 respectively. The crystallized enzyme was separated by SDS-PAGE and the gel was digested by in-gel in solution technique for LC-MS for characterization of enzyme. The enzyme sequence from the LC-MS spectrogram was identified by Homology driven proteomics approach. Though a group of analogous sequences have been found from other organisms, the lack of sequence data in protein databases leads to find a match in D. alata itself. But the Molecular characterization confirmed that the protein isolated from D. alata was tyrosinase. © 2016 Bentham Science Publishers.

Rosaline X.D.,Thiagarajar College Autonomous | Sakthivelkumar S.,University of Madras | Rajendran K.,Thiagarajar College Autonomous | Janarthanan S.,University of Madras
Asian Pacific Journal of Tropical Biomedicine | Year: 2012

Objective: To screen the antibacterial efficacy of various solvent extracts of marine algae such as Sargassum wightii (S. wightii), Chaetomorpha linum (C. linum) and Padina gymnospora (P. gymnospora) against some selected gram-positive and gram-negative human pathogenic bacteria. Methods: Crude extracts were prepared from the selected marine algae using different solvents namely, hexane, ethyl acetate, acetone and methanol and were tested for their antibacterial activity against human pathogenic bacteria using disc diffusion method. Minimum inhibitory concentration (MIC) was also performed for selected solvent extracts for all the bacterial species. A suitable positive control was also maintained. Results: Among the three marine algae screened P. gymnospora and S. wightii were found to be more active than C. linum. It was observed that the acetone extracts of all the three marine algae showed higher inhibitory activity for the selected bacterial species than other solvent extracts. The results revealed that the crude acetone extracts seem to be a good source material in identifying the effective pure antibacterial compound(s) in all the three marine algae and particularly, S. wightii. Conclusions: The present study showed that the acetone extracts of marine algae such as S. wightii, C. linum and P. gymnospora exhibited good antimicrobial activity. But the acetone extracts of S. wightii possessed highest antibacterial activity than others and so it could be useful in seeking active principles against human pathogenic bacteria. © 2012 Asian Pacific Tropical Biomedical Magazine.

Chitra K.,Government of Tamilnadu | Senthamarai Kannan K.,Manonmaniam Sundaranar University | Abirami S.,Thiagarajar College Autonomous
Communications in Computer and Information Science | Year: 2011

Mobile computing system is more popular as people need data on move. Many emerging mobile database applications demand broadcast based data dissemination, ie, the data broadcasted to more number of clients without any request. In this paper we address the problem of preserving data consistency and currency among mobile transactions, while the broadcast and update transactions executed concurrently on server without any control. We propose an efficient serializability based algorithm (IOBS) for ensuring the consistency of entire database. This algorithm has the following properties. • The order of update transactions seen by the different mobile clients will be same. • Consistency and currency are ensured without contacting the server. • The size of control information for conflict checking is smaller. © 2011 Springer-Verlag Berlin Heidelberg.

Arun A.,Thiagarajar College Autonomous | Eyini M.,Research Center in Botany
Bioresource Technology | Year: 2011

A total of 130 wild basidiomycetes fungi were collected and identified. The polycyclic aromatic hydrocarbons (PAHs) degradation by the potential Phellinus sp., Polyporus sulphureus (in liquid state fermentation (LSF), solid state fermentation (SSF), in soil) and lignin biodegradation were compared with those of a bacterial isolate and their corresponding cocultures. The PAHs degradation was higher in LSF and the efficiency of the organisms declined in SSF and in soil treatment. Phellinus sp. showed better degradation in SSF and in soil. Bacillus pumilus showed higher degradation in LSF. B. pumilus was seen to have lower lignin degradation than the fungal cultures and the cocultures could not enhance the degradation. Phellinus sp. which had higher PAHs and lignin degradation showed higher biosurfactant production than other organism. Manganese peroxidase (MnP) was the predominant enzyme in Phellinus sp. while lignin peroxidase (Lip) was predominant in P. sulphureus. © 2011 Elsevier Ltd.

Moorthi P.V.,Thiagarajar College Autonomous | Balasubramanian C.,Thiagarajar College Autonomous | Mohan S.,Thiagarajar College of Engineering
Applied Biochemistry and Biotechnology | Year: 2015

A highly active silver nanoparticle (SmAgNps) was synthesized in the present study by using Sargassum muticum extract. The instrumentations such as scanning electron microscope (SEM), energy dispersive X-ray (EDAX), and X-ray diffraction (XRD) were used to reveal the nanoparticle morphology and size. The insecticidal activities of SmAgNps against Ergolis merione reveals prominent changes in the protein profile of hemolymph, morphology of hemocytes, and deteriorated midgut inclusions such as lumen, basement membrane, fat body, and gastric caeca. From this study, it was observed that phytochemicals of S. muticum was a prominent precursor for the synthesis of highly active nanoparticles. © 2014, Springer Science+Business Media New York.

Manikandan K.C.,Government of Tamilnadu | Abirami S.,Thiagarajar College Autonomous
2012 International Conference on Computer Communication and Informatics, ICCCI 2012 | Year: 2012

This paper proposes the time stamp based algorithm to ensure the data consistency of read write mobile clients. The execution of broadcast transaction and update transaction were overlapped on server then the mobile transaction may receive inconsistent data. The proposed algorithm TSCD(Time Stamping method for Consistent data Dissemination to Read Write mobile clients) resolves data inconsistency using Time stamping method. The two unique features of this algorithm are: It disseminates the ordered updated items to all mobile clients and it delivers the consistent data to read - write mobile clients with minimum size of control information. We examine the performance of this algorithm with BCC-TI and (n*n) Matrix algorithms. The results show that the proposed algorithm could be an efficient approach. © 2012 IEEE.

Banu A.N.,Thiagarajar College Autonomous | Balasubramanian C.,Thiagarajar College Autonomous
Parasitology Research | Year: 2014

The efficacy of silver generated larvicide with the help of entomopathogenic fungi, Isaria fumosorosea (Ifr) against major vector mosquitoes Culex quinquefasciatus and Aedes aegypti. The Ifr-silver nanoparticles (AgNPs) were characterized structurally and functionally using UV-visible spectrophotometer followed by scanning electron microscopy (SEM), energy-dispersive X-ray (EDX) spectroscopy and Fourier transform infrared (FTIR) spectra. The optimum pH (alkaline), temperature (30 °C) and agitation (150 rpm) for AgNP synthesis and its stability were confirmed through colour change. Ae. aegypti larvae (I–IV instars) were found highly susceptible to synthesized AgNPs than the larvae of Cx. quinquefasciatus. However, the mortality rate was indirectly proportional to the larval instar and the concentration. The lethal concentration that kills 50 % of the exposed larvae (LC50) and lethal concentration that kills 90 % of the exposed larvae (LC90) values of the tested concentration are 0.240, 0 0.075.337, 0.430, 0.652 and 1.219, 2.210, 2.453, 2.916; 0.065, 0.075, 0.098, 0.137 and 0.558, 0.709, 0.949, 1.278 ppm with respect to 0.03 to 1.00 ppm of Ifr-AgNPs against first, second, third and fourth instars of Cx. quinquefasciatus and Ae. aegypti, respectively. This is the first report for synthesis of AgNPs using Ifr against human vector mosquitoes. Hence, Ifr-AgNPs would be significantly used as a potent mosquito larvicide. © 2014, Springer-Verlag Berlin Heidelberg.

Banu A.N.,Thiagarajar College Autonomous | Balasubramanian C.,Thiagarajar College Autonomous
Parasitology Research | Year: 2014

The efficacy of silver synthesized biolarvicide with the help of entomopathogenic fungus, Beauveria bassiana, was assessed against the different larval instars of dengue vector, Aedes aegypti. The silver nanoparticles were observed and characterized by a scanning electron microscope (SEM) and energy-dispersive X-ray (EDX). A surface plasmon resonance band was observed at 420 nm in UV-vis spectrophotometer. The characterization was confirmed by shape (spherical), size 36.88-60.93 nm, and EDX spectral peak at 3 keV of silver nanoparticles. The synthesized silver nanoparticles have been tested against the different larval instars of Ae. aegypti at different concentrations for a period of 24 h. Ae. aegypti larvae were found more susceptible to the synthesized silver nanoparticles. The LC50 and LC90 values are 0.79 and 1.09 ppm with respect to the Ae. aegypti treated with B. bassiana (Bb) silver nanoparticles (AgNPs). First and second instar larvae of Ae. aegypti have shown cent percent mortality while third and fourth instars found 50.0, 56.6, 70.0, 80.0, and 86.6 and 52.4, 60.0, 68.5, 76.0, and 83.3 % mortality at 24 h of exposure in 0.06 and 1.00 ppm, respectively. It is suggested that the entomopathogenic fungus synthesized silver nanoparticles would be appropriate for environmentally safer and greener approach for new leeway in vector control strategy through a biological process. © 2014 Springer-Verlag.

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