Results of Complex Structure Prediction for Target Name: LCI1 ( Click 
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		>LCI1: 1-192
| 1-60:  | 
M | S | G | L | N | K | F | I | Y | V | G | L | V | I | S | Q | L | L | T | L | A | A | Y | V | V | V | T | A | G | A | A | L | L | Q | K | K | A | N | T | L | T | L | F | D | T | Q | E | G | I | D | K | Y | T | P | V | Y | K | E | V | F | 
| 61-119:  | 
T | V | T | T | Y | I | I | A | Y | P | Q | Q | P | Q | Y | Q | F | Q | Y | Q | W | W | I | I | Q | F | E | L | F | V | F | L | L | T | A | A | C | T | V | F | P | S | I | I | K | R | M | R | P | V | A | L | T | F | I | A | S | A | L | V | 
| 121-179:  | 
L | V | M | D | N | I | N | A | I | F | F | L | L | R | N | E | T | A | K | A | V | F | D | D | Y | R | I | A | T | A | Q | A | G | L | I | M | V | G | V | A | N | G | L | T | I | F | F | L | G | S | Y | D | A | E | E | S | H | A | M | P | 
| 181-192:  | 
N | V | H | V | T | S | D | G | A | T | K | V | 
		
		
		 
		
		
		Predicted Top 1 Quaternary structure  
		
		   
		
		
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			                    Note: The model is built by ab initio method, no significant templates are found!		 
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		References 
		[1] Quadir, F., Roy, R., Halfmann, R., & Cheng, J. (2021). DNCON2_Inter: Predicting interchain contacts for homodimeric and homomultimeric protein complexes using multiple sequence alignments of monomers and deep learning. Scientific Reports, (accepted). (https://doi.org/10.21203/rs.3.rs-228041/v1)  
      [2] Hou, J., Wu, T., Guo, Z., Quadir, F. & Cheng, J. The MULTICOM Protein Structure Prediction Server Empowered by Deep Learning and Contact Distance Prediction. in Methods in Molecular Biology vol. 2165 13–26 (Humana Press Inc., 2020)  
      [3] Soltanikazemi, E., Quadir, F., Roy, R. S. & Cheng, J. Distance-based Reconstruction of Protein Quaternary Structures from Inter-Chain Contacts. bioRxiv 2021.05.24.445503 (2021) doi:10.1101/2021.05.24.445503
      [4] Quadir, F., Roy Raj, Soltanikazemi, E. & Cheng, J. DeepComplex. https://github.com/jianlin-cheng/DeepComplex  
      [5] Hou, J., Wu, T., Cao, R., & Cheng, J. (2019). Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13. Proteins, accepted. (https://doi.org/10.1002/prot.25697) 
      [6] Li, J., Deng, X., Eickholt, J., & Cheng, J. (2013). Designing and benchmarking the MULTICOM protein structure prediction system. BMC structural biology, 13(1), 2.
      [7] Cheng, J., Li, J., Wang, Z., Eickholt, J., & Deng, X. (2012). The MULTICOM toolbox for protein structure prediction. BMC bioinformatics, 13(1), 65.
      [8] Wang, Z., Eickholt, J., & Cheng, J. (2010). MULTICOM: a multi-level combination approach to protein structure prediction and its assessments in CASP8. Bioinformatics, 26(7), 882-888.