TESTSTATUS | seq1

Section I. Summary Prediction Result

Download
detailed protein property prediction results.
To open .zip files, you may use 7-zip for Windows or unzip for Linux/Unix/MacOS.
Status
Current status:
Complete
Submitted on:
2015-12-29 18:00
Scheduled on:
2015-12-29 21:16
Finished on:
2015-12-29 21:22
 
SEQ
SS3
SS8
ACC
DISO
1
E
C
L
E
.
N
C
L
E
.
I
E
E
M
.
E
E
E
E
.
V
E
E
B
.
H
E
E
M
.
M
E
E
B
.
L
E
E
M
.
N
E
E
M
.
K
E
E
E
.
11
G
C
L
E
.
A
C
T
E
.
E
C
T
E
.
G
C
S
M
.
A
C
L
M
.
M
E
E
B
.
V
E
E
M
.
F
E
E
B
.
E
C
L
M
.
P
C
L
B
.
21
A
C
S
E
.
Y
E
E
M
.
I
E
E
B
.
K
E
E
E
.
A
E
E
B
.
N
C
L
M
.
P
C
T
E
.
G
C
T
E
.
D
C
L
M
.
T
E
E
E
.
31
V
E
E
B
.
T
E
E
M
.
F
E
E
B
.
I
E
E
M
.
P
E
E
B
.
V
C
L
E
.
D
C
S
M
.
K
C
S
E
.
G
C
L
E
.
H
C
L
B
.
41
N
C
L
M
.
V
E
E
B
.
E
E
E
M
.
S
E
E
B
.
I
E
E
M
.
K
C
T
E
.
D
C
T
E
.
M
C
T
M
.
I
C
L
M
.
P
C
L
M
.
51
E
C
T
E
.
G
C
T
E
.
A
C
L
M
.
E
C
G
E
.
K
C
G
E
.
F
C
G
B
.
K
C
L
E
.
S
C
L
M
.
K
C
L
E
.
I
C
T
E
.
61
N
C
T
E
.
E
C
L
E
.
N
E
E
E
.
Y
E
E
M
.
V
E
E
E
.
L
E
E
B
.
T
E
E
E
.
V
E
E
B
.
T
C
S
E
.
Q
C
S
E
.
71
P
C
L
E
.
G
E
E
M
.
A
E
E
M
.
Y
E
E
B
.
L
E
E
M
.
V
E
E
B
.
K
E
E
M
.
C
C
L
B
.
T
C
L
M
.
P
C
L
B
.
 
SEQ
SS3
SS8
ACC
DISO
81
H
C
L
B
.
Y
C
G
E
.
A
C
G
E
.
M
C
G
E
.
G
C
T
E
.
M
C
L
B
.
I
E
E
M
.
A
E
E
B
.
L
E
E
B
.
I
E
E
B
.
91
A
E
E
B
.
V
E
E
B
.
G
C
E
M
.
D
C
S
M
.
S
C
L
M
.
P
C
L
E
.
A
C
L
M
.
N
C
L
E
.
L
H
H
M
.
D
H
H
E
.
101
Q
H
H
E
.
I
H
H
B
.
V
H
H
E
.
S
H
H
E
.
A
C
L
M
.
K
C
L
E
.
K
C
S
E
.
P
C
L
M
.
K
H
H
E
.
I
H
H
E
.
111
V
H
H
B
.
Q
H
H
M
.
E
H
H
E
.
R
H
H
M
.
L
H
H
B
.
E
H
H
E
.
K
H
H
E
.
V
H
H
B
.
I
H
H
M
.
A
H
H
E
.
121
S
H
H
E
.
A
C
L
M
.
K
C
L
E
*

 

Section II. Detailed Prediction Results (see the result by clicking on it)

[+] Click to view the predicted structure property of the input sequence

Please cite the following server and method papers:
1. Sheng Wang, Wei Li, Shiwang Liu, and Jinbo Xu. RaptorX-Property: a web server for protein structure property prediction. Nucleic Acids Research. 2016.
2. Sheng Wang, Jianzhu Ma, and Jinbo Xu. AUCpreD: proteome-level protein disorder prediction by AUC-maximized deep convolutional neural fields. ECCB 2016. Also appears at Bioinformatics 2016 (32):i672-i679.
3. Sheng Wang, Siqi Sun, and Jinbo Xu. AUC-Maximized Deep Convolutional Neural Fields for Protein Sequence Labeling. ECML/PKDD 2016. Also appears at Machine Learning and Knowledge Discovery in Databases 2016 pp 1-16.
4. Sheng Wang, Jian Peng, Jianzhu Ma, and Jinbo Xu. Protein secondary structure prediction using deep convolutional neural fields. Scientific Report. 2016 Jan;6:18962.