DeepAssembl server for domain assembly

Intelligent Optimization and Bioinformatics Lab IOBIO-Lab

M-DeepAssembly provides a distinctive multi-domain assembly algorithm. To some extent, M-DeepAssembly can alleviate the current challenges of weak evolutionary signals and large structures by forming diverse ensembles through the use of multi-objective protein conformation space sampling algorithm. Furthermore, this method not only provides new insights for exploring the functions of multi-domain protein but also offers the possibility for multiple conformations studies based on the obtained ensembles.

News

2024/01/24: DeepAssembly enhanced version M-DeepAssembly is released.
2023/05/03: The server adds protein complex structure assembly function.
2022/05/28: DeepAssembly was ranked No. 1 for the protein structure prediction in the 1 week CAMEO blind test.
2022/05/21: We developed DeepAssembly for multi-domain protein structure assembly.

Reference

Xinyue Cui^✝, Yuhao Xia^✝, Minghua Hou, Xuanfeng Zhao, Suhui Wang, Guijun Zhang^*. Multi-domain and complex protein structure prediction using inter-domain interactions from deep learning. BMC bioinformatics, 26, 120 (2025). DOI: https://doi.org/10.1186/s12859-025-06131-2
Yuhao Xia^✝, Kailong Zhao^✝, Dong Liu, Xiaogen Zhou, Guijun Zhang^*. Multi-domain and complex protein structure prediction using inter-domain interactions from deep learning. Communications biology, 6, 1221 (2023). DOI: https://doi.org/10.1038/s42003-023-05610-7

M-DeepAssembly On-line Server [View complex example of output] [Back to server]

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M-DeepAssembly News

2022/05/21: We developed DeepAssembly for multi-domain protein structure assembly
2022/05/28: DeepAssembly was randked No. 1 for the protein structure prediction in the 1 week CAMEO blind test.
2023/05/03: The server adds protein complex structure assembly functioin.
2024/01/24: DeepAssembly Enhanced Version M-DeepAssembly is released.

Reference

Xinyue Cui^✝, Yuhao Xia^✝, Minghua Hou, Xuanfeng Zhao, Suhui Wang and Guijun Zhang*. M-DeepAssembly:Enhanced DeepAssembly based on multi-objective protein conformation sampling. BMC bioinformatics, 26, 120 (2025). DOI: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-025-06131-2 .
Yuhao Xia^✝,Kailong Zhao^✝,Dong Liu,Xiaogen Zhou,Guijun Zhang*. Multi-domain and complex protein structure prediction using inter-domain interactions from deep learning. Communications biology, 6, 1221 (2023). DOI: https://www.nature.com/articles/s42003-023-05610-7.
visit M-DeepAssembly website.

Complex Assembly On-line Server

[ View complex example of output ] [ Back to main ]

Email: (mandatory, where results will be sent to)

Job name: (optional, your given name to this job)

Reference

Xinyue Cui^✝, Yuhao Xia^✝, Minghua Hou, Xuanfeng Zhao, Suhui Wang, Guijun Zhang^*. Multi-domain and complex protein structure prediction using inter-domain interactions from deep learning. BMC bioinformatics, 26, 120 (2025). DOI: https://doi.org/10.1186/s12859-025-06131-2
Yuhao Xia^✝, Kailong Zhao^✝, Dong Liu, Xiaogen Zhou, Guijun Zhang^*. Multi-domain and complex protein structure prediction using inter-domain interactions from deep learning. Communications biology, 6, 1221 (2023). DOI: https://doi.org/10.1038/s42003-023-05610-7
Kailong Zhao, Yuhao Xia, Fujin Zhang, Xiaogen Zhou, Stan Z. Li*, Guijun Zhang*. Protein structure and folding pathway prediction based on remote homologs recognition using PAthreader. Communications biology, 6, 243 (2023). DOI: https://doi.org/10.1038/s42003-023-04605-8
Dong Liu^✝, Biao Zhang^✝, Jun Liu, Hui Li*, Le Song*, Guijun Zhang*. Assessing protein model quality based on deep graph coupled networks using protein language model. Briefings in Bioinformatics, 25, bbad420 (2023). DOI: https://doi.org/10.1093/bib/bbad420