| >Q5TA31 (148 residues) ASEAALQLLCRADAGPLCAACRMAAGPEPPEWEPRWRKALRGKENKGSVEIMRKDLNDAR DLHGQAESAAAVWKGHVMDRRKKALTDYKKLRAFFVEEEEHFLQEAEKEEGLPEDELADP TERFRSLLQAVSELEKKHRNLGLSMLLQ |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | ASEAALQLLCRADAGPLCAACRMAAGPEPPEWEPRWRKALRGKENKGSVEIMRKDLNDARDLHGQAESAAAVWKGHVMDRRKKALTDYKKLRAFFVEEEEHFLQEAEKEEGLPEDELADPTERFRSLLQAVSELEKKHRNLGLSMLLQ |
| Prediction | CCCCCHHHSCCCCCCSSSCSCCCCCCCCCCSSSSHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHCC |
| Confidence | 9997222002116914321137787889983553688899999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999983774887449 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | ASEAALQLLCRADAGPLCAACRMAAGPEPPEWEPRWRKALRGKENKGSVEIMRKDLNDARDLHGQAESAAAVWKGHVMDRRKKALTDYKKLRAFFVEEEEHFLQEAEKEEGLPEDELADPTERFRSLLQAVSELEKKHRNLGLSMLLQ |
| Prediction | 8574415001440541031115407615514232144114523534541540353155145245435531440363055335404520540251056216421540463365356435514623541451154026426745262138 |
| 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 | CCCCCHHHSCCCCCCSSSCSCCCCCCCCCCSSSSHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHCC ASEAALQLLCRADAGPLCAACRMAAGPEPPEWEPRWRKALRGKENKGSVEIMRKDLNDARDLHGQAESAAAVWKGHVMDRRKKALTDYKKLRAFFVEEEEHFLQEAEKEEGLPEDELADPTERFRSLLQAVSELEKKHRNLGLSMLLQ | |||||||||||||||||||
| 1 | 6u0tA | 0.09 | 0.07 | 2.88 | 1.17 | DEthreader | SYFREH--P-----HWSD-GC-KEFEG-EDLAYDARIKYQKETQKQWIEQQIREKKMREEAERNEERAYATQTLELNRMRGMLEDDFNRKKASIRQAVKEENQQLDKQKRDLEKQSNNEKLNYERTEIDMVKTR--GQ--K--RP--- | |||||||||||||
| 2 | 4tn3A | 0.22 | 0.21 | 6.63 | 2.35 | HHsearch | RHGEKLLLFCQEDSKVICWLCKDSQEHRGFLMEEVAQE-Y-HVKLQTALEMLRQKQQEAEKLEADIREEKASWKIQIDYDKTNVSADFEQLREILDWEESNELQNLEKEEEDILKSLTEMVQQTQYMRELISELEHRLQ--MMDLLQG | |||||||||||||
| 3 | 4tn3A | 0.23 | 0.22 | 7.00 | 1.22 | FFAS-3D | RHGEKLLLFCQEDSKVICWLCKDSQEHRGHHTFLMEEVAQEYHVLQTALEMLRQKQQEAEKLEADIREEKASWKIQIDYDKTNVSADFEQLREILDWEESNELQNLEKEEEDILKSLTEMVQQTQYMRELISELEHRLQMMD---LLQ | |||||||||||||
| 4 | 2dfsA | 0.05 | 0.04 | 1.95 | 1.17 | DEthreader | --------------------DKLRAACIRIQKTIRGWLMRKKYMRMRRAAITIQRYVRGHQARCYATFLRRTRAAIIIQKFQRMYVVRKRYQCMRDATIALQALLRGYLVRNKYQMMLREHKSIIIQKHVRG-WLARVHHRTLKAIVL | |||||||||||||
| 5 | 4tqlA1 | 0.12 | 0.10 | 3.56 | 0.86 | SPARKS-K | --------------------------YKQMVQELEKARDRMEKLYKEMVELIQKAIELMRKIFQEVKQEVEKAIEKLKQIMQEAKQKMEKLLKQLKEEMKKMKEKMEKLLKEMKQRMEEVKKKIKIAEDLIKKAEENIKEAAEQLVKR | |||||||||||||
| 6 | 4tn3A | 0.11 | 0.11 | 3.91 | 0.87 | MapAlign | -HGEKLLLFCQEDSKVICWLCKDSQEHRGHHTFLMEEVAQEYHVKLQTALEMLRQKQQEAEKLEADIREEKASWKIQIDYDKTNVSADFEQLREILDWEESNELQNLEKEEEDILKSLTKSETEMVQQTQYMRELISELEHRLQMMDL | |||||||||||||
| 7 | 6qajA | 0.09 | 0.09 | 3.37 | 0.69 | CEthreader | HKHEPLVLFCESCDTLTCRDCQLNAHKDHQYQFLEDAVRNQRKLLASLVKRLGDKHATLQKSTKEVRSSIRQVSDVQKRVQVDVKMAILQIMKELNKRGRVLVNDAQKVTEGQQERLERQHWTMTKIQKHQEHILRFASWALESDNNT | |||||||||||||
| 8 | 5va4A | 0.18 | 0.13 | 4.19 | 0.93 | MUSTER | HHGEKLVLFCQQDGNVICWLCERSQEHRGHQTFVEEVAQKYREKLQVALEMMRQKQKDAETECNQVAKRVA-----------------------------------------LIARGKACGEQTQSVRVLISDLEHRLQGSVMELLQG | |||||||||||||
| 9 | 6qajA | 0.11 | 0.11 | 3.90 | 2.28 | HHsearch | VHKEPLVLFCESCDTLTCRDCQL-NAHKDQFLEDAVRN-Q-RKLLASLVKRLGDKHATLQKSTKEVRSSIRQVSDVQKRVQVDVKMAILQIMKELNKRGRVLVNDAQKVTEGQQERLERMTKIQKHQEHILRFASWALEDNNTALLLS | |||||||||||||
| 10 | 4cg4A1 | 0.13 | 0.10 | 3.50 | 1.14 | FFAS-3D | -----------------------------------EVALEHKKKIQKQLEHLKKLRKSGEEQRSYGEEKAVSFLKQTEALKQRVQRKLEQVYYFLEQQEHFFVASLEDVGQMVGQIRKAVSQDIALLDALIGELEAKECQSEWELLQD | |||||||||||||
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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. |