Sathayabama University

Lal Bahadur Nagar, India

Sathayabama University

Lal Bahadur Nagar, India
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Krishnaveni S.,Sathayabama University
Journal of Theoretical and Applied Information Technology | Year: 2014

In this work, a study of MEMS (Micro electro mechanical system) and SUGAsR simulator is presented. A MEMS power switch is implemented and the insertion loss, return loss with respect to frequency and ON and Off states of these loss with respect to frequency is studied. Ultra low ON state insertion loss, high off state isolation and high RF signal power handling characteristics are achieved .Many of the inherent problems associated with the more traditional switches is overcome with this power MEMS switch. The SUGAR simulator is used to obtain the performance analysis of the MEMS power switch. © 2005 - 2014 JATIT & LLS. All rights reserved.


Kumar S.N.,Sathayabama University | Varghese S.,Metro Scans and Laboratory
Proceedings of 2nd IEEE International Conference on Engineering and Technology, ICETECH 2016 | Year: 2016

This paper is an application of medical image processing. Multimodality medical images are widely used nowadays for disease diagnosis. The CT/PET medical images are used in this paper for the segmentation of liver anomalies. The preprocessing was done by median filter and the segmentation was performed by binary tree quantization algorithm. The binary tree quantization algorithm produces better results than conventional K-means segmentation algorithm. The algorithms was developed in Matlab 2010 and tested on real time CT/PET images of patients with Hepatic Cellular Carcinoma. © 2016 IEEE.


Kandakatla N.,Sathayabama University | Ramakrishnan G.,Sathayabama University
International Journal of Pharmacy and Pharmaceutical Sciences | Year: 2014

Objective: Histone deacetylase2 is a promising target for cancer disease. Histone deacetylase2 belongs to class I family of HDAC's. Molecular docking studies were carried out on series of N (2-aminophenyl)-benzamide derivatives. Methods: Benzamide derivatives were designed virtually considering the basic pharmacophore of N (2-aminophenyl)-benzamide. 54 ligands docked with Histone deacetylase2 PDB id: 3MAX using LigandFit (Discovery Studio 2.1). Most of the compounds showed good binding interaction with the receptor and the results are compared with the test compounds SAHA and MS-275 to find potentional HDAC2 inhibitors. Results: Based on the docking score N-(2-amino-5-(1H-imidazol-2-yl)phenyl)benzamide (B2), N-(2-amino-5-(1H-imidazol-2-yl)phenyl)-4- vinylbenzamide (B18), N-(2-amino-5-(1H-imidazol-2-yl)phenyl)-4-methylbenzamide (B10) showed highest binding energy of 83.7 kcal/mol, 81.6 kcal/mol and 76.7 kcal/mol respectively in comparison with test compounds (SAHA 42.5 kcal/mol and MS-275 40.4 kcal/mol). The results showed hydrogen bond interaction with the Cys156, His146, Gly154 amino acids which are important for HDAC2 inhibition. Conclusion: In this study, molecular docking studies were used to identify novel compounds targeting the HDAC2 protein. The designed benzamide derivatives of type 1 showed good docking score and interaction in competition with SAHA and MS-275. These prove to be potential inhibitors of HDCA2.


Valarmathi R.,Sathayabama University | Sheela T.,Sri Sairam Engineering College
Proceedings of the 2017 2nd International Conference on Computing and Communications Technologies, ICCCT 2017 | Year: 2017

Cloud Computing is a new emerging paradigm that provisions various computing resources to meet the developing computational needs. Scheduling the task poses many difficulties, because the cloud computing resources are complex, dynamic, heterogeneous, distributed in nature. Task Scheduling aims at minimising the makespan and maximising the resource utilisation. This paper gives an elaborate idea about Particle Swarm optimisation (PSO) algorithm and its several variants for task scheduling in cloud environment. PSO produces better results for task Scheduling Problems. This paper gives an insight to the researchers about various aspects of PSO and Task Scheduling. © 2017 IEEE.


Balakrishnan N.,St Josephs College | Raj J.S.,St Josephs College | Kandakatla N.,Sathayabama University
International Journal of Pharmacy and Pharmaceutical Sciences | Year: 2015

Objective: In silico studies were conducted on newly proposed Indazole derivatives as GSK-3β inhibitors to select the best possible drug candidates based on drug properties and bioactivity score of the compounds. Methods: 31 Indazole derivatives and active GSK-3β Indazole inhibitor 3-(5-chloro-1-methyl-indol-3-yl)-4-[1-[3-(triazol-1-yl)propyl]indazol-3-yl]pyrrole-2,5-dione(IC50 of 0.003 μM) were subjected to predict the mutagenic, tumorigenic, irritant, reproductive risks, and drug-relevant properties using OSIRIS Property Explorer. Further bioactivity scores were determined using Molinspiration online tools. Results: The results of new GSK-3β inhibitors were compared with potent GSK-3β Indazole inhibitor to examine the prospective of the optimized compounds. The best possible drug candidates were reported after comprehensive analysis on predicted cLogP, solubility, molecular weight, topological molecular polar surface area (TPSA), drug- likeness, drug score properties and bioactivity score for different human targets like GPCR, ion channel, kinase, nuclear receptor, protease and enzymes. Conclusion: Five compounds 282, 141, 161, 108 and 456 were reported as the best drug like candidates for GSK-3β regulation. © 2015, International Journal of Pharmacy and Pharmaceutical Science. All rights reserved.


Xavier L.D.,Sathayabama University | Thirunavukarasu R.,Vellore Institute of Technology
International Journal of Intelligent Engineering and Systems | Year: 2017

Knowledge of a protein's secondary structure, in turn, contributes to our understanding of the functions of the protein is vital to many aspects of living organisms such as those of enzymes, hormones, and structural material, etc. It also helps in designing new drugs for critical disease. In this paper, we have advocated a distributed approach to identify the Protein Secondary Structures using an ensemble method on protein primary sequences. The Ensemble based Random Forest algorithm has been adopted to build the three-way predictive model. Based on the amino acid features of each protein and decision tree parameters, the classification model allows us to assign protein structures as 'α helix', 'β sheet', or a coil. Also the proposed model is implemented in a distributed computing environment, SPARK. Experiments have been carried out using cross-validation tests on RS126 and CB513 benchmark datasets. Our results clearly confirm that ensemble approach in classifying protein secondary structures scores better accuracy with improved performance when it will be implemented in the distributed environment.


Thiagu G.,Sathayabama University | Dhanasekaran R.,Syed Ammal Engineering College
Journal of Theoretical and Applied Information Technology | Year: 2014

In switching power circuits, due to the rapid switching of high current and high voltage, interference emission is created a serious problem. With the increase in switching frequency, possibility of interference also increases. When the interference is strong enough, then it can affect the normal working of associated circuits also. Electric and magnetic fields exist in any operating electric circuit. The current flowing in the circuit generates a magnetic field. For such a current to flow, there must be a potential difference, which produces an electric field. These fields can exist in any substance, including a vacuum. If they are strong enough, they make it possible for one electrical device to affect another. When this occurs unintentionally, it is known as electromagnetic interference, commonly abbreviated as EMI and often simply called as 'noise'. © 2005 - 2014 JATIT & LLS. All rights reserved.


Balakrishnan N.,Bharathidasan University | Raj J.S.,Bharathidasan University | Kandakatla N.,Sathayabama University
Interdisciplinary Sciences: Computational Life Sciences | Year: 2016

Glycogen synthase kinase-3β (GSK-3β) is a kinase family enzyme and an emerged target for the treatment of various diseases. A total of 23 structurally diverse flavonoid inhibitors were used to generate pharmacophore models using HypoGen algorithm. The hypotheses Hypo1 was considered as a best model which consists of three features: one hydrophobic and two aromatic ring features. The Hypo1 pharmacophore model was employed as a query to screen NCI and natural compound databases to discover novel potential lead compounds. In addition, molecular docking studies were carried out with 596 compounds from screening studies. NSC230353, NSC66454, NSC159593, and NSC156759 from NCI database and STOCK1N-81808, ZINC02159818, ZINC04042470, and ZINC72326235 from natural compound database were identified as potential GSK-3β inhibitors. © 2015, International Association of Scientists in the Interdisciplinary Areas and Springer-Verlag Berlin Heidelberg.


Thiagu G.,Sathayabama University | Dhanasekaran R.,Syed Ammal Engineering College
International Journal of Applied Engineering Research | Year: 2014

The EMI problems are normally treated with cut and try process. In this paper, the conducted EMI noise is first modeled to get a full understanding of the EMI mechanism. The resulting model therefore provides a basic method for evaluating the effects of common EMI filter issues. The analysis and results proposed here can provide a guideline for future effective filtering schemes for switch mode power supplies. © Research India Publications.


PubMed | St. Joseph's College and Sathayabama University
Type: Journal Article | Journal: Interdisciplinary sciences, computational life sciences | Year: 2016

Glycogen synthase kinase-3 (GSK-3) is a kinase family enzyme and an emerged target for the treatment of various diseases. A total of 23 structurally diverse flavonoid inhibitors were used to generate pharmacophore models using HypoGen algorithm. The hypotheses Hypo1 was considered as a best model which consists of three features: one hydrophobic and two aromatic ring features. The Hypo1 pharmacophore model was employed as a query to screen NCI and natural compound databases to discover novel potential lead compounds. In addition, molecular docking studies were carried out with 596 compounds from screening studies. NSC230353, NSC66454, NSC159593, and NSC156759 from NCI database and STOCK1N-81808, ZINC02159818, ZINC04042470, and ZINC72326235 from natural compound database were identified as potential GSK-3 inhibitors.

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