M-SADA Results for example
[Click on example.tar.gz to download all result files]
The quality of "model06.pdb" (Ranked sixth)
Per-residue lDDT (Global lDDT: 80.95)
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The quality of "model07.pdb" (Ranked seventh)
Per-residue lDDT (Global lDDT: 80.83)
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The quality of "model08.pdb" (Ranked fourth)
Per-residue lDDT (Global lDDT: 84.47)
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The quality of "model09.pdb" (Ranked eighth)
Per-residue lDDT (Global lDDT: 79.48)
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The quality of "model10.pdb" (Ranked fifth)
Per-residue lDDT (Global lDDT: 82.33)
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The quality of "model11.pdb" (Ranked second)
Per-residue lDDT (Global lDDT: 88.17)
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The quality of "model12.pdb" (Ranked first)
Per-residue lDDT (Global lDDT: 88.52)
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The quality of "model13.pdb" (Ranked third)
Per-residue lDDT (Global lDDT: 84.71)
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Reference
- Chun-Xiang Peng✝, Xiao-Gen Zhou✝, Yu-Hao Xia, Jun Liu, Ming-Hua Hou and Gui-Jun Zhang*. Structural analogue-based protein structure domain assembly assisted by deep learning, Bioinformatics, 2022, 38(19): 4513–4521. download
- Chunxiang Peng, Xiaogen Zhou, Jun Liu, Minghua Hou, Stan Z. Li and Guijun Zhang*. Multiple conformational states assembly of multidomain proteins using evolutionary algorithm based on structural analogues and sequential homologues, Submitted.