Results of Structure Prediction for Target Name: P32694 ( Click )

Domain Boundary prediction ( View )

./work/multicom-P32694/P32694.domain_info.marker.jpeg

Protein sequence

>P32694: 1-235
1-60: MWVNKYIDDCTDEDLNDRDFIASVVDRAIFHFAINSICNPGDNKDAMPIEQCTFDVETKN
61-119: DLPSTVQLFYEESKDNEPLANIHFQAIGSGFLTFVNACQEHDDNSLKLFASLLISLSYSS
121-179: AYADLSETVYINENNESYLKAQFEKLSQRDMKKYLGEMKRLADGGEMNFDGYLDKMSHLV
181-235: NEGTLDPDILSKMRDAAPQLISFAKSFDPTSKEEIKILTDTSKLIYDLFGVKSEK

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

1-60: CCHHHHHCCCCCHHCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCEEEEEEEEECC
61-119: CCCCEEEEEEECCCCCCCCCEEEEEECCCCEEEHHHHHHHHHHCCCHHHHHHHHHHCHHH
121-179: HHHHHHHHEECCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHH
181-235: CCCCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCEEEECCHHHHHHHHHCCCCCC
H(Helix): 124(52.77%)E(Strand): 31(13.19%)C(Coil): 80(34.04%)

Solvent accessibility prediction (e: Exposed b: Buried)

1-60: EEBEEBBEEBEEEEBEEEEBBBBBBEEBBBBBBBBBBBBEEEEEEBEBBEEBEBEBEEEE
61-119: EBEEBBBBBBEEBEEEEEBBEBBBEBBBEBBBBBBBBBEEEEEEEBEEBBBBBBBBBBBB
121-179: BBBEBBEEBEBBEEBEEBBEEBBEEBBEEEBEEBBEEBEEBBEEEEBEBEEBBEEBEEBB
181-235: EEEEEEBEBBEEBEEBBEEBBEBBEEBEEEEEEEBEBBEEBEEBBBBBBBBEEEE
e(Exposed): 117(49.79%)b(Buried): 118(50.21%)

Disorder prediction (N: Normal T: Disorder)

1-60: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
61-119: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
121-179: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN
181-235: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNTT
N(Normal): 233(99.15%)T(Disorder): 2(0.85%)

Select domain

Predicted contact map and distance map

   

Predicted distance map

./work/contact_dist/P32694_d.jpg

   

Predicted contact map

./work/contact_dist/P32694_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.