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Paper   IPM / Biological / 15738
School of Biological Sciences
  Title:   HIV-1-infected T-cells dynamics and prognosis: An evolutionary game model
  Author(s): 
1.  Bahareh Khazaei
2.  Javad Salimi Sartakhti
3.  Mohammad Hossein Manshaei
4.  Quanyan Zhu
5.  Mehdi Sadeghi
6.  Seyed Rasoul Mousavi
  Status:   Published
  Journal: Computer Methods and Programs in Biomedicine
  Vol.:  152
  Year:  2017
  Pages:   1-14 (https://doi.org/10.1016/j.cmpb.2017.08.021)
  Supported by:  IPM
  Abstract:
ackground and Objective Understanding the dynamics of human immunodeficiency virus (HIV) is essential for depicting, developing, and investigating effective treatment strategies. HIV infects several types of immune cells, but its main target is to destroy helper T-cells. In the lymph nodes, the infected T-cells interact with each other and their environment to obtain more resources. According to infectivity and replicative capacity of T-cells in the HIV infection process, they can be divided into four phenotypes. Although genetic mutations in the reverse transcription that beget these phenotypes are random, the framework by which a phenotype become favored is affected by the environment and neighboring phenotypes. Moreover, the HIV disease has all components of an evolutionary process, including replication, mutation, and selection.
Received 7 October 2016, Revised 1 July 2017, Accepted 21 August 2017, Available online 6 September 2017.


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