| >Q02040 (143 residues) FPTRHDWDSFFRDAKDMNETLPGERPDTIHLEGLPCKWFALKESGSEKPSEDVLVKVFEK FGEIRNVDIPMLDPYREEMTGRNFHTFSFGGHLNFEAYVQYREYMGFIQAMSALRGMKLM YKGEDGKAVACNIKVSFDSTKHL |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | FPTRHDWDSFFRDAKDMNETLPGERPDTIHLEGLPCKWFALKESGSEKPSEDVLVKVFEKFGEIRNVDIPMLDPYREEMTGRNFHTFSFGGHLNFEAYVQYREYMGFIQAMSALRGMKLMYKGEDGKAVACNIKVSFDSTKHL |
| Prediction | CCCCCCHHHHHCCCCCCCCCCCCCCCCSSSSCCCCCCCCCCCCCCCCCCCHHHHHHHHHHCCCCCSSSCCCCCHHHHHCCCCCCCCCCCCCCSSSSSSSSSSSHHHHHHHHHHHHCCSSSSSCCCCCSSSSSSSSSSCCCCCC |
| Confidence | 99742356664103356777888999759984876211146888888878999999999718730651256761345445888764345665048999997305899999999837621123368835788899853266779 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | FPTRHDWDSFFRDAKDMNETLPGERPDTIHLEGLPCKWFALKESGSEKPSEDVLVKVFEKFGEIRNVDIPMLDPYREEMTGRNFHTFSFGGHLNFEAYVQYREYMGFIQAMSALRGMKLMYKGEDGKAVACNIKVSFDSTKHL |
| Prediction | 75445515521462752764534532100204611141014476566423351035005523513404043346245615746454143444030300011352530140043044331234366441230404032445647 |
| 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 | CCCCCCHHHHHCCCCCCCCCCCCCCCCSSSSCCCCCCCCCCCCCCCCCCCHHHHHHHHHHCCCCCSSSCCCCCHHHHHCCCCCCCCCCCCCCSSSSSSSSSSSHHHHHHHHHHHHCCSSSSSCCCCCSSSSSSSSSSCCCCCC FPTRHDWDSFFRDAKDMNETLPGERPDTIHLEGLPCKWFALKESGSEKPSEDVLVKVFEKFGEIRNVDIPMLDPYREEMTGRNFHTFSFGGHLNFEAYVQYREYMGFIQAMSALRGMKLMYKGEDGKAVACNIKVSFDSTKHL | |||||||||||||||||||
| 1 | 6ff41 | 0.18 | 0.14 | 4.56 | 1.26 | SPARKS-K | LTKVKLINELNEREVQLGVASEYKDSAWIFLGGLP-----------YELTEGDIICVFSQYGEIVNINLVRD------KKTGKSKGF---------CFLCYEDQRSTILAVDNFNGIKI-----KGRTIRVDHVSNYRAPKDS | |||||||||||||
| 2 | 2mtgA | 0.18 | 0.14 | 4.55 | 1.02 | MUSTER | ----------------------NLPSKMLLVYDLYLSPKLWALATPQKNVMEHLLKLFGTFGVISSVRILKPGRELPPDIRRISSRYSQVGTQ-ECAIVEFEEVEAAIKAHEFMITESQGKEN---------MKAVLIGMKP- | |||||||||||||
| 3 | 4a8xA | 0.21 | 0.12 | 3.78 | 1.20 | FFAS-3D | ----------------------SMKPTKVHIGRLT-----------RNVTKDHIMEIFSTYGKIKMIDMPVERMHPHLSKG--------------YAYVEFENPDEAEKALKHMDGGQI-----DGQEITATAV--------- | |||||||||||||
| 4 | 6es4A | 0.25 | 0.13 | 4.13 | 1.36 | CNFpred | ---------------------------EVFCGKIPKDM-----------YEDELIPLFENMGIIWDLRLMMDP-----------------GTNRGYAFVTFTNREAAVNAVRQLDNHEIKP----GKCLKINISVP------- | |||||||||||||
| 5 | 4r86A | 0.06 | 0.05 | 2.16 | 0.83 | DEthreader | NYALTVTQVIEQNTGLLYS---TLGDTNILTIAFVST----S--QDIAYVASIQDPLSRVNGVGDIDAYGSEKYDY-----LSR---FNGNP-ASGLGVKLASGAN-EATAKLVLDLNLAQYFP--HGLEYKIAYETTSFV-- | |||||||||||||
| 6 | 5szwA | 0.17 | 0.12 | 3.92 | 1.24 | SPARKS-K | ----GHMSNGYEDHMAEDC-RGDIGRTNLIVNYLP-----------QNMTQDELRSLFSSIGEVESAKLIRDKV---------------AGHSLGYGFVNYVTAKDAERAINTLNGLRLQ-----SKTIKVSYARPS------ | |||||||||||||
| 7 | 5uz5A | 0.18 | 0.13 | 4.34 | 0.47 | MapAlign | IKNAQLLDRRLQNPNVDPHIKDTDPYRTIFIGRLPYD-----------LDEIELQKYFVKFGEIEKIRIV---------------KDKITQKSKGYAFIVFKDPISSKMAFKEIGVRGIQI-----KDRICIVDIERG----- | |||||||||||||
| 8 | 4c7qA | 0.17 | 0.10 | 3.43 | 0.33 | CEthreader | --------------------GMAEVEYRCFVGGLAWAT-----------TDQTLGEAFSQFGEILDSKII---------------NDRETGRSRGFGFVTFKDEKAMRDAIEGMNGQDLD-------GRNITVNEAQSR---- | |||||||||||||
| 9 | 2jrsA | 0.20 | 0.15 | 4.71 | 1.01 | MUSTER | GHHHHH-HSHMAAAMANNLQKGSAGPMRLYVGSL-----------HFNITEDMLRGIFEPFGRIESIQLMMDSETGR---------------SKGYGFITFSDSECAKKALEQLNGFELAGRP---------MKVGHVTERTD | |||||||||||||
| 10 | 5uz5A | 0.21 | 0.15 | 4.89 | 0.82 | HHsearch | NITAQLLDRRLQNPNVDPHIKDTDPYRTIFIGRLP---YDL--------DEIELQKYFVKFGEIEKIRIVKDKIT-----QK-SKGY---------AFIVFKDPISSKMAFKEIRGIQIK-----DRICIVDIERG------- | |||||||||||||
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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. |