# Core B: Computational

> **NIH NIH P01** · BETH ISRAEL DEACONESS MEDICAL CENTER · 2020 · $376,975

## Abstract

Project Summary for Mathematical Modeling and Bioinformatics Core
The goal of this Core is to provide mathematical modeling and bioinformatics support for the three research
projects. We have assembled a team of experts with experience in modeling HIV viral dynamics, the effects of
antiretroviral therapy, the establishment of the HIV reservoir, and the effects of latency reversing agents on the
reservoir and on the time to viral load rebound after ART termination. We also have experience in developing
models of post-treatment control. In addition, we have experience in HIV sequence analysis and bioinformatics
that will allow us to gain information from rebounding virus. Our technical expertise includes working with
deterministic and stochastic models as well as in the development of simulation models. We have proven
capabilities in fitting models to data, estimating parameters, parameter sensitivity analysis, parameter
identification, pharmacokinetics, pharmacodynamics, pharmacometrics and biostatistics. Team members not
only have modeling experience but have also worked with the three project PIs in the past and have good working
relationships. The Core also has superb computing resources available through Los Alamos National
Laboratory. The models to be developed by the Core will address strategies for cure or viral remission in pediatric
and adult cases of HIV as well as in nonhuman primates infected with SIV. The models will provide a basis for
synergy between the various projects, where information learned from models in one arena can inform models
in another area. For example, models of pediatric patients with immature immune systems, when compared with
model results for HIV-infected adults, may provide information about the role of more developed immune
responses in HIV control. Models of the effects of checkpoint inhibitors and latency reversing agents in
nonhuman primates may inform on the effects of immune modulators in HIV infected children and adults. Thus,
through modeling we foresee integrating information obtained from all three research projects to benefit the
overall goal of achieving viral remission or cure.

## Key facts

- **NIH application ID:** 9989770
- **Project number:** 5P01AI131365-04
- **Recipient organization:** BETH ISRAEL DEACONESS MEDICAL CENTER
- **Principal Investigator:** ALAN S PERELSON
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $376,975
- **Award type:** 5
- **Project period:** 2017-08-11 → 2021-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9989770

## Citation

> US National Institutes of Health, RePORTER application 9989770, Core B: Computational (5P01AI131365-04). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9989770. Licensed CC0.

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