Malathi, et al.: E. coli DHPS Inhibition by Ethyl IsoallocholateMedicinal rice varieties have defensive and therapeutic properties against many human disorders. Drug resistance has become a major problem in recent years. Escherichia coli have developed resistance to most of the antibiotics including sulfonamides that target dihydropteroate synthase. In the present study, we attempted to identify a novel inhibitor for the dihydropteroate synthase from a medicinal rice variety Karungkavuni. The phytochemical composition of the rice Karungkavuni was analysed through gas chromatography-mass spectrometry. The isolated compounds with reported antimicrobial activity were subjected to molecular docking procedures to understand the binding behaviour of the ligands with the target. These analyses revealed that ethyl iso-allocholate and 9,12,15-octadecatrienoic acid-2,3-dihydroxypropyl ester were the best binding compounds. Molecular dynamics studies revealed dihydropteroate synthase-ethyl iso-allocholate complex was more stable than other ligands throughout the simulation. Our study demonstrated that ethyl iso-allocholate isolated from Karungkavuni could serve as a potent inhibitor of dihydropteroate synthase.

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In recent years, E-services such as e-healthcare, e-learning, e-ticketing, depend on computer networks where the attackers have started introducing new types of attacks. Therefore, it is necessary to enhance security for communication which is needed for the transfer of confidential information relating to patients through the network. In our research we have developed a reputation aggregation based dynamic trust model for edge computing based E-health care systems. In this model, the edge node evaluates the trust value of a user and allows the user to access the E-health care system only when the trust value is satisfied. In order to do this, initially the user information is collected with the help of user agents and then this information is processed and the relevant data alone is sent to the edge nodes for evaluating the trust. Finally, the trusted users can be identified through edge nodes and they are only given the permission to access the e-health care system. Attacks generated in the simulations are detected using the prevailing algorithms and also the suggested techniques. The simulation results of this work prove the ability of the proposed techniques which are used to detect the attacks accurately and to prevent them effectively.