| >Q13503 (144 residues) MADRLTQLQDAVNSLADQFCNAIGVLQQCGPPASFNNIQTAINKDQPANPTEEYAQLFAA LIARTAKDIDVLIDSLPSEESTAALQAASLYKLEEENHEAATCLEDVVYRGDMLLEKIQS ALADIAQSQLKTRSGTHSQSLPDS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MADRLTQLQDAVNSLADQFCNAIGVLQQCGPPASFNNIQTAINKDQPANPTEEYAQLFAALIARTAKDIDVLIDSLPSEESTAALQAASLYKLEEENHEAATCLEDVVYRGDMLLEKIQSALADIAQSQLKTRSGTHSQSLPDS |
| Prediction | CCHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCC |
| Confidence | 953899999999999999999998886149977777654456777777765689999999999999719999997688999999999999999999999999999999999999999999999999999980689998899999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MADRLTQLQDAVNSLADQFCNAIGVLQQCGPPASFNNIQTAINKDQPANPTEEYAQLFAALIARTAKDIDVLIDSLPSEESTAALQAASLYKLEEENHEAATCLEDVVYRGDMLLEKIQSALADIAQSQLKTRSGTHSQSLPDS |
| Prediction | 862322200420440042013022203643535627636554556655544662253015302530440430063026474447413531550365355245424511551551154036105400531152354768654478 |
| 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 | CCHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCC MADRLTQLQDAVNSLADQFCNAIGVLQQCGPPASFNNIQTAINKDQPANPTEEYAQLFAALIARTAKDIDVLIDSLPSEESTAALQAASLYKLEEENHEAATCLEDVVYRGDMLLEKIQSALADIAQSQLKTRSGTHSQSLPDS | |||||||||||||||||||
| 1 | 5u0pU | 0.22 | 0.19 | 5.91 | 1.21 | SPARKS-K | MACRCTQLQDTIDEVATQFYSSIHYLSSHHDFVS-------------AEELQFAQRDLAKDLVTKFMQIDTLINQLPGISTAPKHQLEKIKKLQNSIEEKQLERKSLESENEDLKLQLAKRIETFGRLSCVLFQP--------- | |||||||||||||
| 2 | 5u0pU | 0.21 | 0.18 | 5.72 | 1.39 | MUSTER | MACRCTQLQDTIDEVATQFYSSIHYLSSHHDFVSAE-------------ELQFAQRDLAKDLVTKFMQIDTLINQLPGISTAPKHQLEKIKKLQNSIEEKQLERKSLESENEDLKLQLAKRIETFGRLSCVLFQP--------- | |||||||||||||
| 3 | 5u0pU | 0.21 | 0.18 | 5.72 | 3.74 | HHsearch | MACRCTQLQDTIDEVATQFYSSIHYLSSHHDFVSAE-------------ELQFAQRDLAKDLVTKFMQIDTLINQLPGISTAPKHQLEKIKKLQNSIEEKQLERKSLESENEDLKLQLAKRIETFGRLSCVLFQP--------- | |||||||||||||
| 4 | 5u0pU | 0.22 | 0.18 | 5.69 | 1.65 | FFAS-3D | MACRCTQLQDTIDEVATQFYSSIHYLSSHHDF-------------VSAEELQFAQRDLAKDLVTKFMQIDTLINQLPGISTAPKHQLEKIKKLQNSIEEKQLERKSLESENEDLKLQLAKRIETFGRLSC-------------- | |||||||||||||
| 5 | 6r9tA | 0.08 | 0.07 | 2.71 | 1.00 | DEthreader | KAWRKNKMDESKHEIHSQVDAITAGTA-SVVNLT----AGDPETDYTVGCAVTTISSNLTEMSRGVKLLAALLEDEGG------------AAARDGADPVQAIVCLPG-RDDNALRAVGAQFSTFLEAGVEMAGQ-AP-T---- | |||||||||||||
| 6 | 6xp5U | 0.22 | 0.19 | 6.12 | 1.01 | SPARKS-K | --DRLTQLQEAMDELLEMFLSAFFWVERHHDLKTFGPNDKIPDLKADTKSYKAGQLQLARDIIVKEQQIEYLISTLPGLDNSEREQIQLLRELEDDLVTAEAQRQEALKERDEVLGKLDALLRGLERP---------------- | |||||||||||||
| 7 | 4k1pA | 0.10 | 0.10 | 3.60 | 0.66 | MapAlign | IVKLREDIKRIQGEIQAELTTILNGSINIGKQVFTITTKTIDF--VSIGTLSNEIVEAALRIQQKQKELLPLIQKLSQT--EAEATQITFVEDQVSSFTELIDRQITTLETLLTDWKVLNNNMIQIQKNVEEGTYTDSSLLQKH | |||||||||||||
| 8 | 6ek7A | 0.08 | 0.08 | 3.06 | 0.46 | CEthreader | MRKSIKELDEKIKEKRQRIEQLKKDYDKFVGLSFTGAIGGIIAMAITGGIFGAKAENARKEKNALISEVAELESKV-SSQRALQTALEALSLSFSDIGIRMVDAESALNHLDFMWLSVLNQITESQIQFAMINNALRLTSFVNK | |||||||||||||
| 9 | 1ykeB | 0.23 | 0.19 | 5.89 | 1.26 | MUSTER | --DRLTQLQICLDQMTEQFCATLNYIDKNHGFERLT--------VVPPEEFSNTIDELSTDIILKTRQINKLIDSLPGVDVSAEEQLRKIDMLQKKLVEVEDEKIEAIKKKEKLLRHVDSLIEDFVDGI--------------- | |||||||||||||
| 10 | 6xp5U | 0.22 | 0.19 | 6.12 | 3.68 | HHsearch | --DRLTQLQEAMDELLEMFLSAFFWVERHHDLKTFGPNDKPDLDTKSPEEYKAGQLQLARDIIVKEQQIEYLISTLPGLDNSEREQIQLLRELEDDLVTAEAQRQEALKERDEVLGKLDALLRGLERP---------------- | |||||||||||||
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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. |