Results of Structure Prediction for Target Name: Q2FZF3 ( Click )

Domain Boundary prediction ( View )

./work/multicom-Q2FZF3/Q2FZF3.domain_info.marker.jpeg

Protein sequence

>Q2FZF3: 1-185
1-60: MKWSITQLRKYQGKPFEFDQTVSFDNLKESLDLIDLSPITIQGQLTIKSTEVVADIHITG
61-119: TYTMPCARTLVPVKVPLDVTTTEVFDLEGYNQYNDDQDDVDEHYHIIKDGMVNLQDIVED
121-179: IVIIEKPMRAYSEQSDQMLTVGNGWEVIDEDQLDELAKQQEQDDSESRQVDPRLQKLQQL
181-185: YDKEQ

Secondary structure prediction (H: Helix E: Strand C: Coil)

1-60: CCCEHHHHHHCCCCCEEEEEEEECHHHHCCCCEEECCCEEEEEEEEECCCEEEEEEEEEE
61-119: EEEEECCCCCCCCECEEEEEEEEEEECCCCCCCCCCCCCCCCEEEEECCCEECCCHHHHH
121-179: HHHHCCCCEEEECCCCCCCCCCCCEEEEECCHHHHHCCCCCCCCCCCCCCCHHHHHHHHH
181-185: HCCCC
H(Helix): 34(18.38%)E(Strand): 64(34.59%)C(Coil): 87(47.03%)

Solvent accessibility prediction (e: Exposed b: Buried)

1-60: EEBEBEEBEEEEEEEBEBEEEBEBEEBEEEEEBBEBEEBEBEBEBEBEEEBBBBBBEBEB
61-119: EBEBBBBBBBEEBEBEBEBEBEBBBBEEEEEEEEEEEEEEEEEBBEBEEEEBEBBEBBBB
121-179: BBBBBBBBEBBBEEEBEEBEEEEEBEBBEEEEBEEEEEEEEEBEEEEEEBBEEBEEBEEB
181-185: BEEEE
e(Exposed): 110(59.46%)b(Buried): 75(40.54%)

Disorder prediction (N: Normal T: Disorder)

1-60: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
61-119: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTTTNTTTNNNNNNNNNNNNNNNNNNNNNN
121-179: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
181-185: NNTTT
N(Normal): 176(95.14%)T(Disorder): 9(4.86%)

Select domain

Predicted contact map and distance map

   

Predicted distance map

./work/contact_dist/Q2FZF3_d.jpg

   

Predicted contact map

./work/contact_dist/Q2FZF3_c.jpg

Predicted Top 1 Tertiary structure

   

Predicted Top 2 Tertiary structure

   

Predicted Top 3 Tertiary structure

   

Predicted Top 4 Tertiary structure

   

Predicted Top 5 Tertiary structure

   
Application loaded.

References

[1] Hou, J., Wu, T., Cao, R., & Cheng, J. (2019). Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13. bioRxiv, 552422.
[2] Li, J., Deng, X., Eickholt, J., & Cheng, J. (2013). Designing and benchmarking the MULTICOM protein structure prediction system. BMC structural biology, 13(1), 2.
[3] Cheng, J., Li, J., Wang, Z., Eickholt, J., & Deng, X. (2012). The MULTICOM toolbox for protein structure prediction. BMC bioinformatics, 13(1), 65.
[4] 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.