Results of Structure Prediction for Target Name: B2RKI2 ( Click )

Domain Boundary prediction ( View )

./work/multicom-B2RKI2/B2RKI2.domain_info.marker.jpeg

Protein sequence

>B2RKI2: 1-103
1-60: MENESKTINIELPEEIAQGNYCNLCIVMHSPSEFVLDFIRMVPNRDTARVQNRIILTPDN
61-103: AKRLLTTLSDNIHRYEVEHGEIHTEQRVSDATFTFPTKIKGEA

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

1-60: CCCCCCEEEEEECHHHHCCCEEEEEEEECCCCEEEEEHHHECCCCCCCEEEEEEEECHHH
61-103: HHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCC
H(Helix): 28(27.18%)E(Strand): 28(27.18%)C(Coil): 47(45.63%)

Solvent accessibility prediction (e: Exposed b: Buried)

1-60: EEEEEEEBEBEBEEEBBEBEBBBBBBBBBBEEBBBBBBBBBBBEEEEBEBEBBBBBBBEB
61-103: BEEBBEBBEEBBEEBBEEEEEBEEEEEEEEEEBEBEEEBEEEE
e(Exposed): 53(51.46%)b(Buried): 50(48.54%)

Disorder prediction (N: Normal T: Disorder)

1-60: TTTTTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
61-103: NNNNNNNNNNNNNNNNNNNNNNNNNTTTTTTTTTTTTTTTTTT
N(Normal): 80(77.67%)T(Disorder): 23(22.33%)

Select domain

Predicted contact map and distance map

   

Predicted distance map

./work/contact_dist/B2RKI2_d.jpg

   

Predicted contact map

./work/contact_dist/B2RKI2_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

   

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.