# Theory and Modeling of Functional Conformational Changes of RNA Polymerases_Diversity Supplement

> **NIH NIH R01** · UNIVERSITY OF WISCONSIN-MADISON · 2024 · $61,217

## Abstract

Project Summary: The operation of RNA polymerases (RNAPs) relies on numerous conformational changes.
During eukaryotic transcription, RNA Polymerase II (Pol II) encountering oxidative lesions in its DNA template
often leads to misincorporation and transcriptional stalling. These events contribute to tumor growth in skin
cancer. Mycobacterium tuberculosis (Mtb) causes lethal tuberculosis and is responsible for over 1 million deaths
per year. Transcription initiation complexes of Mtb RNAP, especially the DNA loading gate, are effective targets
for the development of antibiotics. Revealing the dynamics of transcription initiation can thus provide novel
mechanistic insights into prokaryotic transcription and greatly facilitate the understanding of inhibition
mechanisms for antibiotics targeting Mtb RNAP. These two important biological problems in transcription drive
us to develop novel methodology using the generalized master equation (GME) to model biomolecular
conformational changes. My group has been successful in developing GME methods that explicitly consider the
memory functions of biomolecular dynamics and outperform the popular Markov State Model (MSM) method.
However, as an emerging approach, the current implementation of GME is prone to instability when estimating
memory functions for complex RNAP systems. We here propose novel methods to build GME models. Our
specific aims are: 1. To develop new GME methods to model conformational changes. Specifically, to derive a
new theory (IGME) to solve the GME, to develop efficient implementations of the GME to enhance numerical
stability when computing memory kernels from molecular dynamics (MD) simulation trajectories, and to create a
protocol tailor-made for building GME models to study biomolecular conformational changes. Our preliminary
work shows that the proposed IGME method greatly outperforms the original implementation of GME in yielding
robust and accurate predictions of the biomolecular dynamics, especially for the complex RNAP system. 2. To
reveal how the dynamic coupling of several key conformational changes (i.e., the loading of NTP, the rotation of
the damaged DNA base, and the translocation of Pol II on the DNA template) leads to transcriptional
mutagenesis and/or stalling. Specifically, to construct GME models to elucidate molecular mechanisms of 8-oxo-
guanine (8OG) and Guanidinohydantoin (Gh) lesions induced ATP misincorporation and/or transcriptional
stalling. 3. To elucidate the molecular mechanisms of transcriptional initiation and its inhibition of Mtb RNAP.
Specifically, to construct GME models to reveal the dynamics of the Mtb RNAP’s loading gate without DNA, and
to further reveal the dynamics for the transition from a partially formed transcription bubble to a fully formed
bubble, a conformational change involving both Mtb RNAP’s gate opening and DNA unwinding. We further aim
to understand the recognition mechanisms of multiple antibiotic compounds, including Myxopyronin (M...

## Key facts

- **NIH application ID:** 10985597
- **Project number:** 3R01GM147652-02S1
- **Recipient organization:** UNIVERSITY OF WISCONSIN-MADISON
- **Principal Investigator:** Xuhui Huang
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $61,217
- **Award type:** 3
- **Project period:** 2023-06-01 → 2028-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10985597

## Citation

> US National Institutes of Health, RePORTER application 10985597, Theory and Modeling of Functional Conformational Changes of RNA Polymerases_Diversity Supplement (3R01GM147652-02S1). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10985597. Licensed CC0.

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