M-DeepAssembly: enhanced DeepAssembly based on multi-objective multi-domain protein conformation sampling
M-DeepAssembly provides a distinctive multi-domain protein assembly algorithm, which can alleviate the current challenges of weak evolutionary signals and large structures to some extent by forming diverse ensembles using multi-objective protein conformation sampling algorithm. The proposed method contributes to exploring the functions of multi-domain proteins, especially providing new insights into targets with multiple conformational states.
Authors
- Guijun Zhang (ORCID: https://orcid.org/0000-0002-7815-5884)
- Suhui Wang (ORCID: https://orcid.org/0000-0003-4839-956X)
- Xinyue Cui
- Minghua Hou (ORCID: https://orcid.org/0009-0006-2081-7941)
- Yuhao Xia (ORCID: https://orcid.org/0009-0003-3323-5949)
- Xuanfeng Zhao (ORCID: https://orcid.org/0009-0005-0455-9500)
Institutions
- Zhejiang University of Technology (CN)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1186/s12859-025-06131-2
- Citations
- 2
- Primary Topic
- Image Processing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.27
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China