M-DeepAssembly: enhanced DeepAssembly based on multi-objective multi-domain protein conformation sampling

Background Association and cooperation among structural domains play an important role in protein function and drug design. Despite remarkable advancements in highly accurate single-domain protein structure prediction through the collaborative efforts of the community using deep learning, challenges...

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Veröffentlicht in:	BMC bioinformatics Jg. 26; H. 1; S. 120 - 13
Hauptverfasser:	Cui, Xinyue, Xia, Yuhao, Hou, Minghua, Zhao, Xuanfeng, Wang, Suhui, Zhang, Guijun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 05.05.2025 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Ab initio modelling of protein structure Algorithms Bioinformatics Biology Biomedical and Life Sciences Computational Biology - methods Computational Biology/Bioinformatics Computer Appl. in Life Sciences Conformation Conformation sampling Databases, Protein Deep Learning Drug development Energy Feature extraction Forecasts and trends Life Sciences Methods Microarrays Models, Molecular Multi-domain protein assembly Multi-objective energy model Optimization Pareto optimum Predictions Protein Conformation Protein Domains Protein structure Protein structure prediction Proteins Proteins - chemistry Quality assessment Quality control Sampling China Protein structure prediction Conformation sampling Multi-objective energy model Multi-domain protein assembly
ISSN:	1471-2105, 1471-2105
Online-Zugang:	Volltext
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