CDC chooses BioNumerics to monitor HIV drug resistance in US Global Health Initiative

HIV researchers at CDC and across the globe are keeping close watch on the rapid mutations of HIV and its threat of resistance to current and novel therapies. In order to track variant, atypical and drug resistant HIV strains, smart systems are required that can rapidly process information from multiple sources into clear and reportable summarizations. Critical understanding of mutations in HIV is needed to allow physicians and public health policy makers to make treatment decisions and to create preventive measures.

With BioNumerics, Applied Maths delivers integrated solutions with a sustained commitment for implementing innovation in molecular and biomedical research and healthcare. The HIV Drug Resistance Analysis Plugin is a specialized application in BioNumerics, designed for the evaluation of antiretroviral drug resistance/susceptibility of HIV strains on gene sequences based on publicly available algorithms. The application allows users to automatically import and manage data, capture and analyze results and generate reports based on S-I-R mapping algorithms. In the framework of the US Global Health Initiative, the CDC will deploy BioNumerics and the HIV plugin for mutational analysis and monitoring of HIV drug resistance.

The HIV Drug Resistance Analysis plugin offers an expert system that allows users to co- evaluate and compare results generated from publicly available rule sets, including HIVDB (USA), Rega (Belgium) and ANRS (France). The application has a fully integrated and automated workflow starting from sequence assembly to final resistance reporting and is designed for professional high-throughput processing. Besides offering the advantage of integration and automation, the expert rule system provides a number of unique features that make it more flexible and powerful than any other system. The Decision Network empowering the expert rule system allows the user to import any publicly available algorithm and create, adapt and evaluate own expert rules. Furthermore, the system not only shows resistance/susceptibility results, but reports the particular rules that are triggered and the particular mutations that are responsible for the triggering. The full integration of all steps in the workflow, starting with assembly of raw sequences, allows the analyst to evaluate the data at all stages of the analysis, thus leading to the most reliable decisions.

Lem del Rosario, Director of North America Operations says, “Applied Maths is committed to strengthening public health surveillance systems and the choice of CDC to deploy our software for this challenging program is an endorsement of the intrinsic quality of our solutions and support. We will continue to work closely with researchers at CDC towards gaining insights into the molecular epidemiology of HIV.”