TEST1 | seq1-seq2

Sectionn I. Input Sequence Pair

First input sequence
Second input sequence
1
MTTKRKPYVR
11
PMTSTWWKKL
21
PFYRFYMLRE
31
GTAVPAVWFS
41
IELIFGLFAL
51
KNGPEAWAGF
61
VDFLQNPVIV
71
IINLITLAAA
81
LLHTKTWFEL
91
APKAANIIVK
101
DEKMGPEPII
111
KSLWAVTVVA
121
TIVILFVALY
131
W
1
MINPNPKRSD
11
EPVFWGLFGA
21
GGMWSAIIAP
31
VMILLVGILL
41
PLGLFPGDAL
51
SYERVLAFAQ
61
SFIGRVFLFL
71
MIVLPLWCGL
81
HRMHHAMHDL
91
KIHVPAGKWV
101
FYGLAAILTV
111
VTLIGVVTI

 

Section II. Predicted Complex Contact Map

[-] Click to view the predicted contact map between the input sequences
Status
Current status:
Complete
Submitted on:
2018-01-29 22:55:41
Scheduled on:
2018-01-29 22:56:02
Finished on:
2018-01-29 23:18:47
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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. Tianming Zhou, Sheng Wang and Jinbo Xu. Deep learnign reveals many more inter-protein contacts than direct coupling analysis. To appear at RECOMB 2018.
2. Sheng Wang, Siqi Sun and Jinbo Xu. Analysis of deep learning methods for blind protein contact prediction in CASP12. PROTEINS, 2017
3. 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.