- https://doi.org/10.5530/ctbp.2025.3s.5
Identification of Conserved Regions in HIV-1 DNA Mutational Patterns Using Multiple Sequence Alignment
- Nov 25, 2025
- Current Trends in Biotechnology and Pharmacy
- Rajesh Jangade +6 more
HIV (Human Immunodeficiency Virus) targets and weakens the immune system. If left untreated, it can progress to AIDS (acquired immunodeficiency syndrome), a condition marked by a high viral load and increased infectiousness. Without treatment, individuals with AIDS typically survive about three years. While there is no cure for HIV, it can be managed effectively with proper medical care. This study focuses on identifying conserved regions within the genetic and protein sequences of HIV-1 from large-scale data. By leveraging multiple sequence alignment and machine learning techniques, conserved regions in the mutational patterns of HIV-1 are identified. These conserved regions hold significant potential for the pharmaceutical industry, particularly in development of vaccine.
- # Multiple Sequence Alignment
- # Multiple Sequence Alignment Techniques
- # High Viral Load
- # Multiple Machine Learning Techniques
- # Human Immunodeficiency Virus Targets
- # Acquired Immunodeficiency Syndrome
- # Human Immunodeficiency Virus
- # Machine Learning Techniques
- # Mutational Patterns
- # Sequence Alignment Techniques
