| >Q9NXD2 (144 residues) SLADQDLKIFSHSFVGRRMPLWCWSHSNGSALVRMALIKDVLQQRKIDQRICNAITKSHP QRSDVYKSDLDKTLPNIQEVQAAFVKLKQLCVNEPFEETEEKWLSSLENTRWLEYVRAFL KHSAELVYMLESKHLSVVLQEEEG |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | SLADQDLKIFSHSFVGRRMPLWCWSHSNGSALVRMALIKDVLQQRKIDQRICNAITKSHPQRSDVYKSDLDKTLPNIQEVQAAFVKLKQLCVNEPFEETEEKWLSSLENTRWLEYVRAFLKHSAELVYMLESKHLSVVLQEEEG |
| Prediction | CCCHHHHHHHHHHHCCCCCSSSSSSCCCCCSSSSCCCCCCCCCCCHHHHHHHHHHHHHCCCCCCCSSSSCCCCCCCHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHCCCSSSSSCCCC |
| Confidence | 989999999999972898569999839994798707999864458999999999998487778845752678887789999999999999834788766148999857537399999999999999999997898299945899 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | SLADQDLKIFSHSFVGRRMPLWCWSHSNGSALVRMALIKDVLQQRKIDQRICNAITKSHPQRSDVYKSDLDKTLPNIQEVQAAFVKLKQLCVNEPFEETEEKWLSSLENTRWLEYVRAFLKHSAELVYMLESKHLSVVLQEEEG |
| Prediction | 825373044005212731000000315441000001223544744530440042026224744411113335515304303501420251034443644454024204624015103300500030042036772200001578 |
| Values range from 0 (buried residue) to 8 (highly exposed residue) | |
| Rank | PDB hit | ID1 | ID2 | Cov | Norm. Zscore | Downloadalignment | 20 40 60 80 100 120 140 | | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CCCHHHHHHHHHHHCCCCCSSSSSSCCCCCSSSSCCCCCCCCCCCHHHHHHHHHHHHHCCCCCCCSSSSCCCCCCCHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHCCCSSSSSCCCC SLADQDLKIFSHSFVGRRMPLWCWSHSNGSALVRMALIKDVLQQRKIDQRICNAITKSHPQRSDVYKSDLDKTLPNIQEVQAAFVKLKQLCVNEPFEETEEKWLSSLENTRWLEYVRAFLKHSAELVYMLESKHLSVVLQEEEG | |||||||||||||||||||
| 1 | 2yf0A3 | 0.16 | 0.16 | 5.30 | 1.17 | DEthreader | ASK-PIIVGSSKFRSKGRFPVLSYYHDKEAAICRCSQPLSGSARCLEDEHLLQAISK-ANPVNRYMYVMDTRPKLNAIENIHVMRSSLQKLLENGTKGLSVDFYSGLESSGWLRHIKAVMDAAVFLAKAITVENASVLVHCSDG | |||||||||||||
| 2 | 2yf0A | 0.19 | 0.19 | 6.05 | 1.68 | SPARKS-K | IASKPIIVGSSKFRSKGRFPVLSYYHQKEAAICRCSQPLSGFARCLEDEHLLQAISKANPVNRYMYVMDTFVGIENIHVMRSSLQKLLEVNGTK--GLSVNDFYSGLESSGWLRHIKAVMDAAVFLAKAITVENASVLVHCSDG | |||||||||||||
| 3 | 4y7iA | 0.22 | 0.22 | 6.80 | 1.66 | MapAlign | SVTLGTVVGSSKFRSKERVPVLSYLYENNAAICRCSQPLSGFYTRVDDELLLEAISQTNPGSQFMYVVDTRMGIENIHVMRSSLQKLLEVC--ELKTPTMSEFLSGLESSGWLRHIKAIMDAGIFITKAVKVEKASVLVHSSDG | |||||||||||||
| 4 | 4y7iA | 0.20 | 0.19 | 6.24 | 1.57 | CEthreader | SVTLGTVVGSSKFRSKERVPVLSYLYKNNAAICRCSQPLSGFTRCVDDELLLEAISQTNPGSQFMYVVDTRMGIENIHVMRSSLQKLLEVCELKTPTMS--EFLSGLESSGWLRHIKAIMDAGIFITKAVKVEKASVLVHSSDG | |||||||||||||
| 5 | 2yf0A3 | 0.20 | 0.19 | 6.24 | 1.62 | MUSTER | IASKPIIVGSSKFRSKGRFPVLSYYHQKEAAICRCSQPLSGFSARLEDEHLLQAISKANPVNRYMYVMDTRVGIENIHVMRSSLQKLLEVNGTKG--LSVNDFYSGLESSGWLRHIKAVMDAAVFLAKAITVENASVLVHCSDG | |||||||||||||
| 6 | 2yf0A3 | 0.20 | 0.19 | 6.24 | 4.34 | HHsearch | IASKPIIVGSSKFRSKGRFPVLSYYHQKEAAICRCSQPLSGFSARLEDEHLLQAISKANPVNRYMYVMDTRVGIENIHVMRSSLQKLLEVNGTK--GLSVNDFYSGLESSGWLRHIKAVMDAAVFLAKAITVENASVLVHCSDG | |||||||||||||
| 7 | 2yf0A3 | 0.20 | 0.19 | 6.24 | 1.86 | FFAS-3D | IASKPIIVGSSKFRSKGRFPVLSYYHQDKAAICRCSQPLSGFSARLEDEHLLQAISKANPVNRYMYVMDTFVGIENIHVMRSSLQKLLEVNGTKG--LSVNDFYSGLESSGWLRHIKAVMDAAVFLAKAITVENASVLVHCSDG | |||||||||||||
| 8 | 1zvrA | 0.26 | 0.26 | 7.92 | 1.45 | EigenThreader | NIPDEELKRVASFRSRGRIPVLSWIHESQATITRCSQPMVGGKRSKEDEKYLQAIMDSNAQSHKIFIFDARPDIHNIHVMRESLRKLKEIVYPNIE---ETHWLSNLESTHWLEHIKLILAGALRIADKVESGKTSVVVHSSDG | |||||||||||||
| 9 | 1lw3A | 0.26 | 0.26 | 7.91 | 1.27 | CNFpred | NIPDEELKRVASFRSRGRIPVLSWIHPEQATITRCSQPMVGV-RSKEDEKYLQAIMDSNAQSHKIFIFDARLDIHNIHVMRESLRKLKEIVYPNI---EETHWLSNLESTHWLEHIKLILAGALRIADKVESGKTSVVVHSSDG | |||||||||||||
| 10 | 2yf0A | 0.16 | 0.16 | 5.30 | 1.17 | DEthreader | ASK-PIIVGSSKFRSKGRFPVLSYYHDKEAAICRCSQPLSGSARCLEDEHLLQAISK-ANPVNRYMYVMDTRPKLNAIENIHVMRSSLQKLLENGTKGLSVDFYSGLESSGWLRHIKAVMDAAVFLAKAITVENASVLVHCSDG | |||||||||||||
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Top 10 structural analogs in PDB (as identified by
TM-align)
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Top 5 enzyme homologs in PDB
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Template proteins with similar binding site:
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| References: | |
| 1. | Wei Zheng, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Yiheng Zhu, P. Lydia Freddolino, Yang Zhang. Integrating deep learning potentials with I-TASSER for single- and multi-domain protein structure prediction. Submitted. 2023. |