# Data-driven analysis of protein structure, function, and regulation

> **NIH NIH R35** · UNIVERSITY OF WISCONSIN-MADISON · 2020 · $382,500

## Abstract

PROJECT SUMMARY
Proteins are capable of performing a wide variety of complex molecular functions and play a central role in all
biological processes. A detailed and quantitative understanding of the relationship between a protein's
sequence and it's biochemical properties would have a profound impact across all areas of biology, medicine,
and biotechnology. We are developing data-driven approaches for dissecting the molecular basis of protein
function. Our general framework involves designing informative libraries of protein sequences, experimentally
mapping the relationship between sequence and function, and extracting detailed functional information from
large sequence-function data sets. This work leverages emerging technologies and methods in DNA
sequencing and synthesis, microfluidic screening, large-scale statistical learning, and optimization. We will
develop generalizable platforms that can be applied to study a wide variety of enzymes and membrane
transport proteins.

## Key facts

- **NIH application ID:** 9979906
- **Project number:** 5R35GM119854-05
- **Recipient organization:** UNIVERSITY OF WISCONSIN-MADISON
- **Principal Investigator:** Philip Anthony Romero
- **Activity code:** R35 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $382,500
- **Award type:** 5
- **Project period:** 2016-08-01 → 2022-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9979906

## Citation

> US National Institutes of Health, RePORTER application 9979906, Data-driven analysis of protein structure, function, and regulation (5R35GM119854-05). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9979906. Licensed CC0.

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