# Center for Structural Biology of HIV RNA

> **NIH NIH U54** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2022 · $360,914

## Abstract

Core 4: Biology and Chemistry
Summary
CRNA investigators in this Core component have a wide range of expertise in virology, cell and molecular
biology, RNA biology, and chemistry. Each of the biologically focused projects requires the application of
techniques and expertise in these areas. To facilitate the identification of new targets for structural and
biophysical analysis, the validation and biological interpretation of structural and biophysical data, and the
identification of lead small molecule chemical probes, the Biology and Chemistry Core will undertake a number
of activities including: (1) the discovery of new features of HIV-1 RNAs and HIV-1 RNA-protein complexes for
structure function studies using next-generation sequencing-based approaches, (2) HyPR-MS, siRNA and
sCAS9/SAM (CRISPR) screening to identify and validate new protein targets for structure-function studies, (3)
the provision of virology and general molecular biology support to biologically and structurally focused projects
and aims, and (4) in silico, in vitro and in cell RNA-targeted screening and chemical synthesis along with
cheminformatics / machine learning techniques to enable the discovery of RNA-targeted inhibitors of the
biological processes studied in the CRNA.

## Key facts

- **NIH application ID:** 10505792
- **Project number:** 1U54AI170660-01
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** ALICE TELESNITSKY
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $360,914
- **Award type:** 1
- **Project period:** 2022-06-09 → 2027-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10505792

## Citation

> US National Institutes of Health, RePORTER application 10505792, Center for Structural Biology of HIV RNA (1U54AI170660-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10505792. Licensed CC0.

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