bioRxivBiophysics
Reconstruction of atomistic structures from coarse-grained models for protein-DNA complexes
Abstract
While coarse-grained (CG) simulations have widely been used to accelerate structure sampling of large biomolecular complexes, they are unavoidably less accurate and thus the reconstruction of all-atom (AA) structures and the subsequent refinement is of desire. In this study we developed an efficient method to reconstruct AA structures from sampled CG protein-DNA complex models, which attempts to model protein-DNA interface accurately. First we developed a method to reconstruct atomic details of DNA structures from a 3-site per nucleotide CG model, which uses a DNA fragment library. Next, for the protein-DNA interface, we referred to the sidechain orientations in the known structure of the target interface when available. The other parts are modeled by existing tools. We confirmed the accuracy of the protocol in various aspects including the structure deviation in the self-reproduction, the base pair reproducibility, atomic contacts at the protein-DNA interface, and feasibility of the posterior AA simulations.
- assay: protein structure
- research focus: protein structure prediction
- approach: deep learning
- approach: statistical model
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