# Core 4 - Computation Core

> **NIH NIH U54** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2020 · $303,547

## Abstract

Core 4: Computation
Summary
The Computation Core provides both a service component (helping CRNA projects to make effective use of
up-to-date tools in structure exploration, refinement, NMR analysis, and sequence analysis), and as a focus for
technology development and technology transfer (especially in the areas of NMR structure determination,
SAXS reconstructions, and sequence analysis). The technology development and transfer work focuses on
three main areas: (i) using up-to-date molecular dynamics simulation methods and force fields to assist in
structure determination based on crystallography, SAXS and cryo-EM data with a key emphasis on the
development of novel ways to interpret small-angle X-ray scattering (SAXS) data and to combine this
information with restraints derived from NMR, (ii) developing and supporting integrated tools for NMR spectrum
analysis and structure generation and refinement with a key focus on creating novel tools to make use of
chemical shifts in RNA structure analysis and refinement, and (iii) investigating the evolution of functional RNA
sequences in the HIV-1 genome through analysis of nucleotide sequence data, which will lead to novel
bioinformatics methods for identifying functional RNA elements in viral genomes, and the creation of a web
resource to support these analyses for HIV-1.

## Key facts

- **NIH application ID:** 9993264
- **Project number:** 5U54AI150470-09
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** David A Case
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $303,547
- **Award type:** 5
- **Project period:** 2012-09-17 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9993264

## Citation

> US National Institutes of Health, RePORTER application 9993264, Core 4 - Computation Core (5U54AI150470-09). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9993264. Licensed CC0.

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