Novel computational approach for identification of highly mutated integrated HIV genomes

Kamil Khanipov, Levent Albayrak, George Golovko, Maria Pimenova, Pavlidis Ioannis, Yuriy Fofanov, K. Khanipov, I. Pavlidis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

More than 70 million people have been infected with the human immunodeficiency virus (HIV). There is no cure for HIV and modern treatment is only effective at delaying the onset of acquired immunodeficiency syndrome. Incorporated HIV serves as a reservoir for constant release of virions. Knowing the locations and quantity of HIV in the reservoirs can help guide development of complete treatment. Patient/Organ-specific HIV genome reconstruction allows to significantly improve detection of sequences originating from HIV. In this paper, we present a novel personalized medicine approach based on the reconstruction of patient/organ-specific HIV genome sequences in latent reservoirs.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages246-248
Number of pages3
Volume2018-January
ISBN (Electronic)9781538613245
DOIs
StatePublished - Jan 8 2018
Event17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017 - Herndon, United States
Duration: Oct 23 2017Oct 25 2017

Other

Other17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017
CountryUnited States
CityHerndon
Period10/23/1710/25/17

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Keywords

  • HIV
  • Human immunodeficiency virus
  • Integrated genome reconstruction
  • Viral genome reconstruction

ASJC Scopus subject areas

  • Information Systems
  • Biomedical Engineering
  • Modeling and Simulation
  • Signal Processing
  • Health Informatics

Cite this

Khanipov, K., Albayrak, L., Golovko, G., Pimenova, M., Ioannis, P., Fofanov, Y., Khanipov, K., & Pavlidis, I. (2018). Novel computational approach for identification of highly mutated integrated HIV genomes. In Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017 (Vol. 2018-January, pp. 246-248). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBE.2017.00-47