Han Zhu commited on
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README.md
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license: gpl-3.0
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---
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---
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license: gpl-3.0
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tags:
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- biology
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---
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DiffModeler is a computational tool using a diffusion model to automatically build full protein complex structure from cryo-EM maps at intermediate and low resolution.
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Copyright (C) 2023 Xiao Wang, Han Zhu, Genki Terashi, Daisuke Kihara, and Purdue University.
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License: GPL v3. (If you are interested in a different license, for example, for commercial use, please contact us.)
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Contact: Daisuke Kihara (dkihara@purdue.edu)
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For technical problems or questions, please reach to Xiao Wang (wang3702@purdue.edu).
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## Citation:
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Xiao Wang, Han Zhu, Genki Terashi & Daisuke Kihara. Protein Complex Structure Modeling with Diffusion Model and AlphaFold in cryo-EM maps.bioArxiv, 2023.
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```
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@article{wang2023DiffModeler,
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title={Protein Complex Structure Modeling with Diffusion Model and AlphaFold in cryo-EM maps},
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author={Xiao Wang, Han Zhu, Genki Terashi, and Daisuke Kihara},
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journal={bioArxiv},
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year={2023}
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}
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```
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## Free Online Server: https://em.kiharalab.org/algorithm/DiffModeler
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## Introduction
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Cryogenic electron microscopy (cryo-EM) has been widely employed in experimental settings to determine multi-chain protein complexes, but modeling accuracy greatly diminishes when resolution decreases. At intermediate resolutions of 5-10 Å, even template-based structure fitting presents significant challenges. To tackle this issue, we introduce DiffModeler, a fully automated protein complex structure modeling method that leverages a diffusion model for backbone tracing and structure fitting with AlphaFold predicted single-chain structure. In extensive testing on cryo-EM maps at intermediate resolution, DiffModeler showcased remarkably accurate structure modeling, surpassing existing methods significantly. Notably, we successfully modeled a protein complex consisting of 47 chains, comprising 13,462 residues, with an impressive TM-Score of 0.9. We also further benchmarked DiffModeler for maps at low resolution of 10-20 Å and validated its generalizability with plausible performances.
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## Overall Protocol
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1) Backbone tracing from cryo-EM maps at intermediate resolution via diffusion model.
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2) Single-chain structure prediction by AlphaFold.
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3) Single-chain structure fitting using VESPER.
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4) Protein complex modeling by assembling algorithms.
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## Github Repo: TBA
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