The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICS AND COMPUTERS IN SIMULATION
Transactions ID Number: 20-620
Full Name: Yongwimon Lenbury
Position: Professor
Age: ON
Sex: Female
Address: Department of Mathematics, Faculty of Science, Mahidol University, Rama 6 Rd., Bangkok 10400
Country: THAILAND
Tel: 02-201-5448
Tel prefix: 66
Fax: 02-201-5343
E-mail address: scylb@mahidol.ac.th
Other E-mails: scylb@yahoo.com
Title of the Paper: Double Compartment CA Simulation of Drug Treatments Inhibiting HIV Growth and Replication at Various Stages of Life Cycle
Authors as they appear in the Paper: Sompop Moonchai, Yongwimon Lenbury
Email addresses of all the authors: tumath@gmail.com, scylb@mahidol.ac.th
Number of paper pages: 10
Abstract: Although there is no cure for AIDS at this time, intense research efforts have yielded several treatments that may be relied upon to delay HIV progression and improve the quality of life of those who have become symptomatic. Human immunodeficiency virus (HIV) infection typically follows a three phase pattern; the primary response phase, the clinical latency phase, and the final phase of onset of acquired immunodeficiency syndrome (AIDS). In order to test the efficiency of different protocols in drug therapy for HIV patients, it is important to have a realistic model which reliably simulates the course of the infection which exhibits two drastically different time scales, days and decades. The classical ordinary or partial differential equations have been found to be inadequate in coping with such extreme spread in time scales. In this paper, we employ a two-compartment Cellular Automata (CA) model to study the dynamics of drug therapy of HIV infection. The levels o!
f healthy an infected CD+T cells are tracked in both the lymph node and peripheral blood compartments coupled and updated simultaneously with each time step. The viral loads in the two compartments are also updated through a system of difference equations. The cell update rules in the CA model are modified to simulate the impacts of therapeutic measures where various types of antiretroviral drugs are applied to inhibit the growth and replication of HIV at various stages of its life cycle. By adjusting the rules to update the cells in the CA lattice, it becomes possible to study the efficacies of different treatment strategies or drugs of choice, as well as the repercussion of drug resistance over time.
Keywords: human immunodeficiency virus, Cellular Automata (CA) model, drug therapy, drug resistance
EXTENSION of the file: .pdf
Special (Invited) Session: Investigating Effects of Drug Therapy for HIV Infection by Double Compartments Cellular Automata Simulations
Organizer of the Session: 650-206
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