Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Department of Software and Systems Engineering

School of Information Technology and Engineering

Vellore Campus

Journal of Electronic Imaging

Polygonal approximation for digital image boundary using firefly algorithm

The pervasiveness of interpersonal organizations has made it less demanding than any time in recent memory for clients parts the photographs, recordings, Different communication like audio, video materials anyone in anyplace. Be that as it may, the simple access of client produced media content additionally realizes security concerns. Customary control of connection components, however the solitary connection strategy only through particular bit of substance, can't fulfill the client protection prerequisites in substantial scale media sharing frameworks. Rather, arranging numerous connection for dimensions benefits at mutual video and audio parts are wanted. In unhandy, this adjusts the guideline for interpersonal organizations in data spread. Then again, it concurs the difficult social Websites with their informal organization clients. Propose a versatile media get to control framework to empower such an arrangement in a protected and productive way. The proposed SMAC framework engaged these adaptable encoded message approach quality based encryption calculation just as a complete key administration plot. Here, give normal evidence along with secure for demonstrate the new framework with their security. Moreover, And also lead escalated investigations cell phones to exhibit its productivity.

Department of Information Technology

Department of Digital Communications

Department of Smart Computing

VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE International Journal of Innovative Technology and Exploring Engineering

Image Distribution with Scalable Access Control for Privacy in Social Network

Machine learning is the intriguing area of research that spreads across all domains helping in providing quality decisions. Demographic have more influence in social happenings along with various personal and social factors. Suicide analysis is one such issue to be handled with great concern that will provide precautionary based on situations. Suicide prediction can be carried on using data mining that can be used to predict the suicide earlier so that it can be prevented. Suicide is an action resulting in death performed by themselves. Common factors that influence the rate of suicides are cause, method of suicide, year, gender, educational qualification, social status. For this clustering technique in datamining that falls under unsupervised provides great platform. Silhouette score is used for mapping the number of cluster to get the good clustering. Various plots like box plot, scatter plot and so on helps to provide greater insight. Based on analysis the required remedial could be arrived. © BEIESP.

Department of Computer Applications

International Journal of Engineering and Advanced Technology

K-means and hierarchical based clustering in suicide analysis

The malarial parasite Plasmodium falciparum infects humans and proliferates rapidly inside the host before its detection. The proliferation step requires a large amount of lipids for membrane synthesis. Thus fatty acid biosynthesis occurring in the apicoplast plays an important role in causing cerebral malaria. In this study, we explored and analyzed these pathways using stoichiometric matrix, elementary flux modes and robustness analysis. Based on the above analysis, the robustness of this pathway diminished as the result of virtual enzyme knock out indicating four key enzymes, 3-oxoacyl-ACP synthase, 3-oxoacyl-ACP synthase, 3-oxoacyl-ACP synthase and Glycerol-3-phosphate o-acyl transferase. Among the four, the first three are existing drug targets. Subsequently, we also found that a combinatorial double knock out of these enzymes predicts further reduction in overall pathway enzyme activity. Thus, we propose multi drug targeting as a better way to treat brain malaria.

VIT Unitversity

Department of Biotechnology

School of Bio Sciences and Technology

Department of Integrative Biology

Fulltext

Journal of Applied Pharmaceutical Science

Exploring novel drug targets in fatty acid pathway of Plasmodium falciparum

Cortisol, Dehydroepiandrosterone (DHEA) and Pregnenolone are the most clinically significant adrenal hormones. Among them, Pregnenolone is a precursor for sex steroidal hormones and also acts as a neuroprotective agent. Dis-regulation of their balance is observed at the stress conditions which result in the pathological state, pregnenolone steal. In this study we have computationally investigated the key enzyme CYP17A1 interaction with pregnenolone and its structural analogues. We first explored the active sites of the enzyme (PDBid: 3RUK) using CASTp and POCKET FINDER and was found to be consistent with the interaction residues. Next, fragment based search was performed to generate pregnenolone like compounds through Enchanced NCI server. Then the most potential competitive ligands were filtered by applying PASS Prediction tool, Lipinsky rule and ADME properties. The array of ligand along with pregnenolone was docked to enzyme structure using AUTODOCK 4.0 software. The prospective ligands were ranked according to the highest binding energy as the best conformers. The compounds such as pregnenolone-3acetate, 16-Dehydropregnenolone and Pregnenolone 3-methyl ether were identified as the significant ligands that can compete with pregnenolone in maintaining the balance during the stressed conditions. These compounds can be tried for such pathological states as a competitive binder for endogenous ligand, pregnenolone. However, further experimental evidence is required to support this study.

World University root node

Asian Journal of Pharmaceutical and Clinical Research

Computer assisted fragment based analysis of pregnenolone analogues against CYP17A1 receptor: A docking approach