MYJOB | BPN

Section I. Input Sequence

1
AQSVPYGVSQ
11
IKAPALHSQG
21
YTGSNVKVAV
31
IDSGIDSSHP
41
DLKVAGGASM
51
VPSETNPFQD
61
NNSHGTHVAG
71
TVAALNNSIG
81
VLGVAPSASL
91
YAVKVLGADG
101
SGQYSWIING
111
IEWAIANNMD
121
VINMSLGGPS
131
GSAALKAAVD
141
KAVASGVVVV
151
AAAGNEGTSG
161
SSSTVGYPGK
171
YPSVIAVGAV
181
DSSNQRASFS
191
SVGPELDVMA
201
PGVSIQSTLP
211
GNKYGAYNGT
221
SMASPHVAGA
231
AALILSKHPN
241
WTNTQVRSSL
251
ENTTTKLGDS
261
FYYGKGLINV
271
QAAAQ

 

Section II. Predicted Contact and Distance Matrices

[-] Click to view the predicted contact map of the input sequence
Status
Current status:
Complete
Submitted on:
2018-11-07 02:47:17
Scheduled on:
2018-11-07 02:49:04
Finished on:
2018-11-07 04:03:01
all prediction results.
To open .zip files, you may use 7-zip for Windows or unzip for Linux/Unix/MacOS.
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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 contact image.
To view the contact image.
the contact result file.
Open the result file using a text editor such as WordPad (Windows) or vi (Linux/Unix/MacOS).

[+] Click to view the predicted inter-residue distance matrix of the input sequence

Section III. Predicted 3D Models and Local Structures (see the result by clicking on it)

[+] Click to view the predicted local structure property of the sequence
[+] Click to view the predicted 3D model(s) of the input sequence


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

[+] Click to view the multiple sequence alignment (display up to 5001 sequences)


Please cite the following method papers:
1. Jinbo Xu, Matthew Mcpartlon and Jin Li. Improved protein structure prediction by deep learning irrespective of co-evolution information. Nature Machine Intelligence, 2021
2. Jinbo Xu. Distance-based Protein Folding Powered by Deep Learning. PNAS, 2019
3. Jinbo Xu and Sheng Wang. Analysis of distance-based protein structure prediction by deep learning in CASP13. PROTEINS, 2019
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.
5. Sheng Wang, Siqi Sun and Jinbo Xu. Analysis of deep learning methods for blind protein contact prediction in CASP12. PROTEINS, 2017
6. Sheng Wang, Zhen Li, Yizhou Yu and Jinbo Xu. Folding Membrane Proteins by Deep Transfer Learning. Cell Systems, 2017