Results of Structure Prediction for Target Name: Q9KQZ4 ( Click )

Domain Boundary prediction ( View )

./work/multicom-Q9KQZ4/Q9KQZ4.domain_info.marker.jpeg

Protein sequence

>Q9KQZ4: 1-224
1-60: MKLNPLILGLLLSFSAGHSLADVVLKVPENIDLLSVNMQKPKSEGGLFGDKTIMLKDGTN
61-119: QIVFRYIPTFDDGDDVKKVYSDTIIAKFESENATLHFKIPSYRNIKEANEKIQTMEWQLV
121-179: DEKGQSVALVEDKLLNPGVQWGRNYSQEATEYNQNGGVAAIGYLKVVTNEAQLSENTTQV
181-224: IMSEASQPLEVVGSSNNLTQLQLWYSKASKEERKAFKKWMVDQE

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

1-60: CCHHHHHHHHHHHHHHHHHHHHEEEECCCCEEEEEEECCCCCCCCCCCCCCEEEECCCCE
61-119: EEEEEEECCCCCCCCCEEEECCCEEEEEECCCCEEEEECCCCCCHHHHHHHHCCCCEEEE
121-179: ECCCCEEEEEECECCCCCCCCCHHHHHHHHHHHCCCCCEEECCCCCCCCCCCCCCCCCCC
181-224: CCCCCCCCCCCCCCHHHHHHHHHHHHHCCHHHHHHHHHHHHHCC
H(Helix): 65(29.02%)E(Strand): 53(23.66%)C(Coil): 106(47.32%)

Solvent accessibility prediction (e: Exposed b: Buried)

1-60: EEBEBBBBBBBBBBBBBBBBBEBEBEBEEEBEBBBBBBEEBEEEEEBEEEEEBEBEEBEB
61-119: BBBBBBEEEBEEEEEEEEBEBEBBBBBBEBEEEEBEBEBEEBEEEEEBEEBEEEBEBEBB
121-179: EEEEEEBEBEBEEBEEEEBBBBEBBBEBBEEBBEEEEBBBBEEBBBBEEEEEEEEEEEEE
181-224: EEEEEEEEEEEEEEEEBBEBBEEBBEEBEEEEBEEBBEBBEEEE
e(Exposed): 129(57.59%)b(Buried): 95(42.41%)

Disorder prediction (N: Normal T: Disorder)

1-60: TNTTTTTTTTTTTTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
61-119: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
121-179: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTTTTTTTTTT
181-224: TTTTTTTTTTTTTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNT
N(Normal): 187(83.48%)T(Disorder): 37(16.52%)

Select domain

Predicted contact map and distance map

   

Predicted distance map

./work/contact_dist/Q9KQZ4_d.jpg

   

Predicted contact map

./work/contact_dist/Q9KQZ4_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.