Results of Structure Prediction for Target Name: A0Q5X5 ( Click )

Domain Boundary prediction ( View )

./work/multicom-A0Q5X5/A0Q5X5.domain_info.marker.jpeg

Protein sequence

>A0Q5X5: 1-222
1-60: MSYKVKIIYRDVANLKISLNKDGLVTVVSPQKVTKKEIFKILESKKAWLDKHAKRLSVNQ
61-119: KYDYQNYTLNDGDSVYFLGREYPIKLVESKHNIVNYHDDHIQILLNPSVITNRQFKLQLL
121-179: EEFYKDQADIILNNLVAKYLKITNQEITRVTIKKTKTRWGSCNYVKKTINLNFNLVLRDI
181-222: QAIEYVVLHEIAHLTHPNHSKEFYAYVASYMPDWKVREKRLK

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

1-60: CCEEEEEEECCCEEEEEEECCCCEEEEEECCCCCHHHHHHHHHHHHHHHHHHHHHHHHHC
61-119: CCCCCCCCCCCCCEEEEECCEEEEEEEECCCCEEEEECCEEEEEECCCCCCCHHHHHHHH
121-179: HHHHHHHHHHHHHHHHHHHHHHCCCCCCCEEEEECCCCCCCCCCCCCEEEEEHHHHCCCH
181-222: HHHHHEEHHHHHHHHCCCCCHHHHHHHHHHCCCHHHHHHHCC
H(Helix): 90(40.54%)E(Strand): 56(25.23%)C(Coil): 76(34.23%)

Solvent accessibility prediction (e: Exposed b: Buried)

1-60: EEBEBEBEEEEEEEBEBEBEEEEEBEBEBBEEBEEEEBEEBBEEBBEBBEEBBEEBEEEE
61-119: EEEEEEEEBEEEEEBBBBBEEBEBEBBEEEEEEBEBEEEEBBBBBEEEEEEEEEEBEEBB
121-179: EEBBEEEBEEBBEEBBEEBBEEBEBEBEEBEBEEBEEEBBBBEEEEEEBBBBBEBBEBEE
181-222: EBBBBBBBBBBBBBBBEEBBEEBBEBBEEBBEEBEEBEEEBE
e(Exposed): 128(57.66%)b(Buried): 94(42.34%)

Disorder prediction (N: Normal T: Disorder)

1-60: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
61-119: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
121-179: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
181-222: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
N(Normal): 222(100%)T(Disorder): 0(0%)

Select domain

Predicted contact map and distance map

   

Predicted distance map

./work/contact_dist/A0Q5X5_d.jpg

   

Predicted contact map

./work/contact_dist/A0Q5X5_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.