Help for MViewEMA server
Input of MViewEMA server
Output of MViewEMA server
Complex structure assessment:
Evaluation Metrics
MViewEMA assesses the structural quality of protein models using TM-score, a widely adopted metric that reflects overall fold accuracy.
How to cite MViewEMA?
Please cite the following articles when you use the MViewEMA server:
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Dong Liu, Jun Liu, Haodong Wang, Fang Liang, Guijun Zhang*. DeepUMQA-X: Comprehensive and insightful estimation of model accuracy for protein single-chain and complex.
Nucleic Acids Research, 2025, W1(7), W219–W227.
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Dong Liu✝, Biao Zhang✝, Jun Liu, Hui Li*, Le Song* and Guijun Zhang*.
GraphCPLMQA: Assessing protein model quality based on deep graph coupled networks using protein language model.
Briefings in Bioinformatics, 2023, 25(1):bbad420.
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Saisai Guo✝, Jun Liu✝, Xiaogen Zhou, Guijun Zhang*.
DeepUMQA: Ultrafast Shape Recognition-based Protein Model Quality Assessment using Deep Learning.
Bioinformatics, 2022, 38(7): 1895-1903.
Need more help?
If you have more questions or comments about the server, please email guijunlab06@163.com.