A digital signal processing-based bioinformatics approach to identifying the origins of HIV-1 non B subtypes infecting US Army personnel serving abroad

Type: Research Article

Journal: Current HIV Res

Date: Jun 2013

PMID: 23931160

HIV viruses have remained one of the most recalcitrant disease-causing proteins. Apart from inherent capacity to remain latent, it is also quick to mutate and resist Anti-Retroviral Treatment (ART). Additionally, HIV diversity and cross-typing were found to hamper the development of interventions such as medications and vaccines. Traveling hence the spread of HIV/AIDS, has also been made easy by the availability of faster aircrafts. As a result, it became necessary to quickly identify and accurately classify each isolate. Some isolates including 98US_MSC5007 and 98US_MSC5016 were known to have been misclassified. While both human and Chimpanzee, which had share lots of biological characteristics in common, were found to have highest binding interaction with unidentified protein at position 68 (frequency position 0.141). We engaged these phenomena therfore became appropriate for use.

In this study we engaged the same digital signal (FFT)-based technique on two non-B isolates of HIV-1 (98US_MSC5007 and 98US_MSC5016), isolated from the US soldiers serving abroad. One shared highest amplitude with the Nigerian isolate and another with a Zairean counterpart.

Our Finding can be accessed using the Identification ID, PMID: 23931160