Results of Structure Prediction for Target Name: P10747 ( Click )

Domain Boundary prediction ( View )

./work/multicom-P10747/P10747.domain_info.marker.jpeg

Protein sequence

>P10747: 1-220
1-60: MLRLLLALNLFPSIQVTGNKILVKQSPMLVAYDNAVNLSCKYSYNLFSREFRASLHKGLD
61-119: SAVEVCVVYGNYSQQLQVYSKTGFNCDGKLGNESVTFYLQNLYVNQTDIYFCKIEVMYPP
121-179: PYLDNEKSNGTIIHVKGKHLCPSPLFPGPSKPFWVLVVVGGVLACYSLLVTVAFIIFWVR
181-220: SKRSRLLHSDYMNMTPRRPGPTRKHYQPYAPPRDFAAYRS

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

1-60: CCEEEEEEEEEECCCCCCCCECEECCCEEECECCEEEEEEEECCCCCCCEEEEEEEECCC
61-119: CCCEEEEEEEECCCCCEEECCCCCEEEEEECCCEEEEEEECCCHHHCEEEEEEEEEEECC
121-179: CCEEECCCCCEEEECCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH
181-220: HHCCCCCCCCEECCCCCCCCCCCCCCCCCCCCCCHHHHCC
H(Helix): 39(17.73%)E(Strand): 77(35%)C(Coil): 104(47.27%)

Solvent accessibility prediction (e: Exposed b: Buried)

1-60: EBBBBBBBBBBBBBEBBEEEBEBEBEEEBEBEEEBBEBEBEBEEBEEEEBBBBBBBBBEE
61-119: EEEEBBBBBBBEEEEEEEBBBBEBEBEBEEEEEBBBBEBEEBEEEBEEBBBBEBBBBEEE
121-179: EBBBBEEBEBBEBEBEEEEEBEEEEEEEEEBBBBBBBBBBBBBBBBBBBBBBBBBBBBBE
181-220: EEEEEEBEEEBBEBEEEEEEEEEEEEEBBBBBEEBEBBEE
e(Exposed): 105(47.73%)b(Buried): 115(52.27%)

Disorder prediction (N: Normal T: Disorder)

1-60: TNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
61-119: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
121-179: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
181-220: NNNNNNNTTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
N(Normal): 217(98.64%)T(Disorder): 3(1.36%)

Select domain

Predicted contact map and distance map

   

Predicted distance map

./work/contact_dist/P10747_d.jpg

   

Predicted contact map

./work/contact_dist/P10747_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.