SYNTHESIS AND ANTIMALARIAL ACTIVITY OF SOME NEW 3-PHENYL-2-THIOXOTHIAZOLIDIN-4-ONE DERIVATIVES

Objective: Current therapies to treat P. falciparum malaria are heavily reliant on artemisinin-based combinations. However, resistance to artemisinin has recently been identified, and resistance to key artemisinin partner drugs is already widespread. Therefore, there is an urgent need for new antimalarial drugs with improved attributes over older therapies. The objective of this research work is to synthesize new antimalarial agents more effective against clinically relevant malarial strains.Methods: In present work, a series of ten 3-phenyl-2-thioxothiazolidin-4-one (MF1-MF10) derivatives, were synthesized by Knoevenagel condensation of N-phenyl rhodanine (I1) with substituted aromatic or hetro aromatic aldehydes using microwave irradiation. N-phenyl rhodanine (I1) was synthesized by a conventional reaction involving methyl-2-mercaptoacetate (1) and phenyl Isothiocyanates in presence of triethylamine. All the synthesized compounds were characterized by various spectroscopic techniques and evaluated for in-vitro antimalarial activity by microdilution technique against resistance strains of Plasmodium falciparum.Results: The antimalarial activity data showed that six compounds (MF1, MF3, MF4, MF5, MF7 and MF8) exhibited IC50 values ranging from 1.0-1.30 µg/ml, three compounds (MF2, MF6 and MF10) displayed IC50 values in the range of 0.9-1.0 µg/ml. Compound MF9 showed most significant result with maximum activity (IC50 = 0.85µg/ml).Conclusion: The antimalarial activity results revealed that compound MF9 possess potent activity and could be identified as a promising lead for further investigation

Plasma Cell Mastitis mimicking as carcinoma of the breast: A case report and review of the literature

Abstract: Plasma Cell Mastitis (PCM) is an uncommon chronic inflammatory disease of the breast i

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Abstract Angiotensin receptor blockers (ARB's

Automatic Detection of Buildings Using High Resolution Images for Medium Density Regions

Part 1: Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT)International audienceAs the construction material of the building is different hence building detection is critical task from the HRI. The image qualities, resolution, weather type of image sensor are important factors to produce accuracy. Building detection in dense urban areas having problems due to factors like shape, size, color and texture, and image sensor. For the find, the building has to consider the characters of the building like contrast, shape, and the building allocation in high, low, and medium density. In the present study, the mathematical morphological operation is used for the separation of the building. The building is indicated with a boundary

Microwave Assisted Synthesis and Antimicrobial Evaluation of Schiff Bases of Indole-3-aldehyde

In order to develop new antimicrobial agents, a series of Schiff bases of indole-3-aldehyde were synthesized by microwave assisted synthesis by taking DMF as solvent and evaluated for their antimicrobial activity. All the synthesized compounds were characterized by IR, 1HNMR and mass spectral analysis. All compounds were tested against five gram positive and five gram negative bacterial strains and one fungal strain. All compounds exhibited better activity against gram positive strains than against gram negative strains and the compounds were found more active against S.aureus and B.subtilis

Outage Probability in Mobile Indoor Optical Wireless Communication Environment

In this paper, we study an Optical Wireless Communication system for indoor healthcare monitoring application, taking into account the impact of indoor environment. We consider a diffuse link between an emitter placed on a mobile monitored patient and a base station located on the ceiling considering a one-bounce model. Thanks to Ray Propagation Simulator (RaPSor) developed at the Xlim-SIC laboratory, wall, floor and ceiling reflections are taken into account so that the system is more accurately designed, even for low data rates. This is of main concern for healthcare application because it is important to evaluate the required emitter power, related to the power autonomy of monitoring system

BRAIN TUMOR DETECTION AND CLASSIFICATION USING C-MEANS ALGORITHM

In this paper, we will be focusing on brain tumor present in the MRI images. MRI thatis directed into intracranial cavity produces a complete image of brain. Identification of Tumor cells leads to classification of stage of Tumor. We have carried out various processing steps to identify the brain tumor using MATLAB. Processing steps like RGB to gray conversion, image resizing are used in this project. We have suggested an effective algorithm on brain tumors based on FCM segmentation. Morphological operations are carried out for background removal and identification of Tumor cells