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HIV-1 Informatics

  • Yong Shi
  • Yingjie Tian
  • Gang Kou
  • Yi Peng
  • Jianping Li
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Abstract

The ability to identify neuronal damage in the dendritic arbor during HIV-1-associated dementia (HAD) is crucial for designing specific therapies for the treatment of HAD. In this chapter, we utilized a computer based image analysis method to quantitatively assess HIV-1 viral protein gp120 and glutamate mediated individual neuronal damage in cultured cortical neurons. Changes in the number of neurites, arbors, branch nodes, cell body area, and average arbor lengths were determined and a database was formed. We further proposed a two class model of MCLP to classify such HIV-1mediated neuronal dendritic and synaptic damages. Given certain classes, including treatments with brain-derived neurotrophic factor (BDNF), glutamate, gp120 or non-treatment controls from our in vitro experimental systems, we used the two-class MCLP model to determine the data patterns between classes in order to gain insight about neuronal dendritic damages. This knowledge can be applied in principle to the design and study of specific therapies for the prevention or reversal of neuronal damage associated with HAD. Finally, the MCLP method was compared with a well-known artificial neural network algorithm to test for the relative potential of different data mining applications in HAD research.

Keywords

Brain Derive Neurotrophic Factor Neuronal Damage Mononuclear Phagocyte Dendritic Arbor Branch Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Yong Shi
    • 1
    • 2
  • Yingjie Tian
    • 1
  • Gang Kou
    • 3
  • Yi Peng
    • 3
  • Jianping Li
    • 4
  1. 1.Research Center on Fictitious Economy and Data ScienceChinese Academy of SciencesBeijingChina
  2. 2.College of Information Science & TechnologyUniversity of Nebraska at OmahaOmahaUSA
  3. 3.School of Management and EconomicsUniversity of Electronic Science and Technology of ChinaChengduChina
  4. 4.Institute of Policy and ManagementChinese Academy of SciencesBeijingChina

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