TEST | seq1-seq2

Section I. Input Sequence Pair

First input sequence
Second input sequence
1
PVEKEVVEAT
11
DSREKTGMVR
21
PGEPLSGEKY
31
SPKELLALLK
41
CVEAEIANYE
51
ACLKEEVEKR
61
KKFKIDDQRR
71
THNYDEFICT
81
FISMLAQEGM
91
LANLVEQNIS
101
VRRRQGVSIG
111
RLHKQRKPDR
121
RKRSRPYKAK
131
RQ
1
TIILIPSDLA
11
CRLLGQSMDE
21
SGLPQLTSYD
31
CEVNAPIQGS
41
RNLLQGEELL
51
RALDQVN

 

Section II. Predicted Complex Contact Map

[-] Click to view the predicted contact map between the input sequences
Status
Current status:
Complete
Submitted on:
2019-03-11 15:54:16
Scheduled on:
2019-03-11 16:17:16
Finished on:
2019-03-11 17:04:47
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Hover mouse over a position to display prediction for a specific residue pair.
indices: (0,0)prob:0.0000
Download Predicted Contact Map
the image of the predicted interfacial contact map.
the list of predicted contacts.
Open the list file using WordPad or Excel (Windows) or vi (Linux/Unix/MacOS).
Download Detailed Prediction Results
detailed prediction results.
To open .zip files, you may use 7-zip for Windows or unzip for Linux/Unix/MacOS.

Section III. Multiple Sequence Alignment (See MSAViewer for help)

[+] Click to view the joint multiple sequence alignment generated by genome-based method (could be slow)


[+] Click to view the joint multiple sequence alignment generated by phylogeny-based method (could be slow)


Please cite the following method papers:
1. Hong Zeng, Sheng Wang, Tianming Zhou, Feifeng Zhao, Xiufeng Li, Qing Wu, Jinbo Xu. ComplexContact: a web server for inter-protein contact prediction using deep learning. Nucleic Acids Res. 2018 Jul 2;46(W1):W432-W437.
2. Tianming Zhou, Sheng Wang and Jinbo Xu. Deep learnign reveals many more inter-protein contacts than direct coupling analysis. RECOMB 2018.
3. Sheng Wang, Siqi Sun and Jinbo Xu. Analysis of deep learning methods for blind protein contact prediction in CASP12. PROTEINS, 2017
4. Sheng Wang, Siqi Sun, Zhen Li, Renyu Zhang and Jinbo Xu. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model. PLoS Computational Biology, 2017.