Computational Approach for Constraining the Endemic Malarial Parasite

Abstract

Human intervention into the environment led to pollution. One such kind of pollution is water pollution which has led to the occurrence of several health hazards. The impact of water pollution and regular increase in the usage of non degradable materials led to clogging of water resources, this  inturn resulted in the increase of mosquito population, these are the vectors for the transmission of malarial parasite, this leads to occurrence of different types of malaria. According to the WHO statistics, Malaria stands as 2^nd major health problem. Plasmodium falciparum is one of the malarial parasite, which is a causative of cerebral malaria. In the present study, potential drug ATCases were screened for multidrug resistant P.falciparum. The screening of the putative ATCases from metabolic database has lead to identification of specific enzyme sites. These were proven as drug ATCases for antibacterial activity. In the present work we propose that they can also be used as an antimalarial drug ATCases. The work involves the modelling and validation of the drug ATCase. This is an innovative approach to overcome the resistance of this parasite towards the presently available drugs, being made with Bioinformatics tools using the available genome sequence of this parasite. So the modified drugs can inhibit this ATCase in the parasite growth.