Results of Structure Prediction for Target Name: P45422 ( Click )

Domain Boundary prediction ( View )

./work/multicom-P45422/P45422.domain_info.marker.jpeg

Protein sequence

>P45422: 1-238
1-60: MNNVKLLIAGSAFFAMSAQAADRVSIDVKVTLEAAACTPILSNGGVVNFGSHSVNRLSTQ
61-119: HYTQIGTRNINMTITCESATGIAITARDTRMDSMTTGKDSGGQSGVKYTLNGGGYISQTT
121-179: RLFGLGKTKDNKNIGSYAVLIDSNNISASNGSQTLAVSIAGADAVITGQKRAWQTLTAYP
181-238: LAVDQSYYYTFVKPGETTPTPVTNAIIPLQVSASIANDLGGSEKIELDGKAVISVVYL

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

1-60: CCHHHHHHHHHHHHHHHHHHCCCCEEEEEEEEECCCCCCCCCCCCEEECCEECHHHCCCC
61-119: CCCCCCCCEEEEEEEECCCCEEEEEEECCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC
121-179: CEEECCCCCCCCEEEEEEEEEECCCEECCCCCCEEEEECCCCCCCCCCCCCCCCCCCCCC
181-238: CCCCCCEEEEEECCCCCCCCCEEEEEEEEEEEEEEHCCCCCCCCEECCCCEEEEEEEC
H(Helix): 22(9.24%)E(Strand): 78(32.77%)C(Coil): 138(57.98%)

Solvent accessibility prediction (e: Exposed b: Buried)

1-60: EEEBBBBBBBBBBBBBBBBBBEEBEBEBEBEBEBBBBBBEBEEEBEBBBBEBEBEEBEEE
61-119: EBEEBEEEEBEBBBEBEBEBBBBBBBBBEBEEBBBEEEEEBBEBEBEBEBEEBBBBBEBB
121-179: BBBBBBBBEEEEEBBBBBBBBBBBEBEBEEEEBBBBBBBBBEEBBBBBEEBBBBEBBBBB
181-238: BBBEEBBBBBBBEEEEBBBBBBEEBEBEBEBBBBBBEEBEBEEEBEBEBEBBBBBEBE
e(Exposed): 86(36.13%)b(Buried): 152(63.87%)

Disorder prediction (N: Normal T: Disorder)

1-60: TTTTTTTTTTTTTTTTTTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
61-119: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
121-179: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
181-238: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
N(Normal): 220(92.44%)T(Disorder): 18(7.56%)

Select domain

Predicted contact map and distance map

   

Predicted distance map

./work/contact_dist/P45422_d.jpg

   

Predicted contact map

./work/contact_dist/P45422_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.