Informatics Publishing Limited

M. Seethalakshmi ¹, P. Dhanapriya ¹, D. Govindammal ¹, M. Shankar ¹, M. Mayilvaganan ¹

Affiliations
1 Gandhigram Rural University Gandhigram - 624 302, Dindigul District, Tamil Nadu, IN

Abstract

Whey, which is obtained as a by-product during the manufacture of products such as paneer, chhana, shrikhand and cheese, is considered to be a reliable source of a number of high quality and biologically active proteins, carbohydrates and minerals. It has an efficient function in stabilizing the human osmolar system due to its inorganic and organic compounds. Whey protein though present in small quantity has high protein efficiency ratio (3.6), Biological Value (104) and Net Protein Utilization (95). It is next to egg protein in terms of nutritive value.

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J. Praveenkumar ¹, M. Shankar ¹, U. Samson Ebenezar ¹

Affiliations
1 Department of Information Technology, Periyar Maniammai University, Thanjavur- 613 403, Tamil Nadu, IN

Abstract

Network coding has recently attracted attention as a substantial improvement to packet retransmission schemes in wireless multicast broadcast services (MBS). Since the problem of finding the optimal network code maximizing the bandwidth effi-ciency is hard to solve and hard to approximate, two main network coding heuristic schemes, namely opportunistic and full network coding, were suggested in the literature to improve the MBS bandwidth efficiency. However, each of these two schemes usually outperforms the other in different receiver, de-mand, and feedback settings. The continuous and rapid change of these settings in wireless networks limits the bandwidth efficiency gains if only one scheme is always employed. In this paper, we pro-pose an adaptive scheme that maintains the highest bandwidth effi-ciency obtainable by both opportunistic and full network coding schemes in wireless MBS. The proposed scheme adaptively selects, between these two schemes, the one that is expected to achieve the better bandwidth efficiency performance.

Keywords

Chromatic Number of Random Graphs, Graph Co-Loring, Multicast Broadcast Services (MBS), Opportunistic and Full Network Coding, Packet Retransmission.

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M. Shankar ¹, N. L. Gowrishankar ¹, S. Narendiran ¹, K. Sudhakar ¹

Affiliations
1 Department of Pharmaceutical Chemistry, Swami Vivekanandha Institute of Pharmaceutical Sciences, Vangapally (V), Yadhagirigutta (M), Nalgonda (District), Pin - 508286, Andhra Pradesh, IN

Abstract

The protein-ligand interaction plays a significant role in the structural based drug designing. In our research work we have taken the cyclo-oxygenase receptor (COX). The receptor was docked to the commercially available NSAID (Non Steroid Anti Inflammatory Drugs) Celecoxib and Naproxen Protein Structure Modeling Method, using INSIGHTII software. We tried to improve the binding efficiency and steric compatibility of Celecoxib and Naproxen against COX receptor. Several modifications were made to the probable functional groups which were interacting with receptor molecule. Analogs of the drug molecule were prepared using MODELLER9v1chemsketch and docked using INSIGHT II docking software. The modified drugs was sketched using chemsketch were found to be better than the convectional drugs available. Further from this work we can improve the steric compatibility and then Absorption, Distribution, Metabolism and Excretion (ADME) properties of the analogs can be analyzed using Insilco ADME tools.

Keywords

Insight II, Modeller 9V1, Savs, Rampage, Patchdock, Rasmol.

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D. Dinesh ¹, K. Rajan ², M. Shankar ³, K. Manikandan ⁴, V. Kasthuri Thilagam ², P. Kannan ⁵

Affiliations
1 ICAR-Indian Institute of Soil and Water Conservation, Research Centre, Vasad (Gujarat), IN
2 ICAR- Indian Institute of Soil and Water Conservation, Research Centre, Udhagamandalam (T.N.), IN
3 ICAR-Indian Institute of Soil and Water Conservation, Dehradun (Uttarakhand), IN
4 Krishi Vigyan Kendra, Agriculture College and Research Institute, TNAU, Madurai (T.N.), IN
5 Dryland Agriculture Research Station, TNAU, Chettinad (T.N.), IN

Abstract

Meeting the food grain demand of ever growing global population is the big challenge to agriculture sector. Plant disease significantly reduces the production of food crops besides affecting the quality adversely. Losses associated with plant diseases in yield reduction ranging from slight to catastrophic depending upon varying factors. Literature review highlighted that an average yield loss of 42% from the six most important food crops. It is vital to manage plant diseases to avoid the yield loss, which helps to meet the food grain demand in simple means. In other way, disease management is helping us to meet the food grain demand of increasing population under shrinkage of cultivable area.

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