A computational pipeline to visualize DNA-protein binding states using dSMF data
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Updated: Sep 26, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
Satyanarayan Rao1,2, Srinivas Ramachandran1,2
1Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA.
Abstract:
Here, we present a pipeline to map states of protein-binding DNA in vivo. Our pipeline infers as well as quantifies cooperative binding. Using dual-enzyme single-molecule footprinting (dSMF) data, we show how our workflow identifies binding states at an enhancer in Drosophila S2 cells. Data from cells lacking endogenous DNA methylation are a prerequisite for this pipeline. For complete details on the use and execution of this protocol, please refer to Rao et al. (2021) and Krebs et al. (2017).

