Modeling Malaria Parasite-Mosquito Mid-gut Cell Interactions nuber Modeling Malaria Parasite-Mosquito Mid-gut Cell Interactions Oluwagbemi Olugbenga, Ezekiel Adebiyi and Seydou Doumbia Department of Computer and Information Sciences, (Bioinformatics Unit), College of Science and Technology, Covenant University, Nigeria, West Africa Malaria Research and Training Centre, (MRTC), University of Bamako, Mali. Introduction Many in vitro and in vivo experiments had been performed to elucidate the interaction between mosquito and the malaria parasites (Baton et al., In Programmed Cell Death in Protozoa, Edited by Martin P. Landes Bioscience, Springer, 2007; Garver et al., In Insect Immunology, Edited by Nancy Beckage, Elsevier, 2007; Osta et al., Journal of Experimental Biology, 207, 2551-2563, 2004) and findings have shown that in and at the wall of the mid-gut (henceforth, in/at the mid-gut) of the mosquitoes, a number of the malaria parasites at this crucial life cycle died; while a number of them survive and move to the next stage of their life cycle that enable them to infect the human (the vertebrate host) with the malaria disease. Results The first phase of the result of this work shows the output - simulation of the programming implementations, will be presented during the virtual conference. This results will show the possible regions where transmission blocking can be achieved. The second phase however, is expected to show the results of the ABM programming language. This will be useful for the development of a novel chemotherapeutic strategy for transmission blocking of the malaria parasites in/at the mid-gut of the mosquito. . Method In this work, we model using Agent Based Modeling (henceforth, ABM) (Mansury et al., Journal of theoretical Biology 219, 343-370, 2002), how factors in in/at the mid-gut of the mosquito can be enhanced to enable the mosquito immune system destroy all the malaria parasites (the mosquito plays host to) at this crucial stage of their life cycle. The tools used are Programming to simulate the dynamics of the interactions of the malaria parasites in/at the mid-gut cells of the mosquito, and the use of an ABM programming language to model the corresponding interactions under different scenarios by generating a high-content data. Fig. 5 Programmed Simulation of the rupturing of Oocyst to produce sporozoites. Fig. 6 Programmed Simulation of the migration of sporozoites into the mosquito salivary gland. Conclusion Agent-Based Modeling of Malaria Parasite-Mosquito Mid-gut Cell Interactions is a worthwhile work which can be very instrumental in providing insights into controlling and ultimately eradicating malaria. Aim The aim of this work is to Model Malaria Parasite- Mosquito Mid-gut Cell Interactions. Objectives To justify that the interactions between Malaria parasite and the mosquito mid-gut cell is a complex adaptive system. To simulate the dynamics of the interactions of the malaria parasites in/at the mid-gut cells of the mosquito by using a programming approach, in order to check possible regions where transmission blocking can be achieved. To use ABM (Agent-Based Model) programming language to model the corresponding interactions under different scenarios by generating a high-content data. Fig.3 Program Simulation of the dynamics of the migration of motile ookinete in/at the mosquito mid-gut cells.[Cell migration and cell death occurs here , which are xteristics of a Complex Adaptive System. Fig. 1 Program Simulation of the dynamics of the Fusion of the male and female gametocytes Acknowledgements We wish to thank God and also acknowledge Rainer Konig, Dr. E.F Adebiyi and Oluwagbemi Olugbenga for their various contributions to this work. Fig. 4 Programmed Simulation of the formation of Oocysts. Fig.2 Program Simulation of the dynamics of the formation of Ookinete during malaria parasite sporogonic life cycle