| >Q9UQE7 (144 residues) KRETSGEKSRQLRDAQQDARDKMEDIERQVRELKTKISAMKEEKEQLSAERQEQIKQRTK LELKAKDLQDELAGNGGTVLTATTSELEAINKRVKDTMARSEDLDNSIDKTEAGIKELQK SMERWKNMEKEHMDAINHDTKELE |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | KRETSGEKSRQLRDAQQDARDKMEDIERQVRELKTKISAMKEEKEQLSAERQEQIKQRTKLELKAKDLQDELAGNGGTVLTATTSELEAINKRVKDTMARSEDLDNSIDKTEAGIKELQKSMERWKNMEKEHMDAINHDTKELE |
| Prediction | CCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCC |
| Confidence | 941148889999999999999999999999999999999999999999999999999999985699999999783788899899999999999999999999998899999999999999999999889999999988887409 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | KRETSGEKSRQLRDAQQDARDKMEDIERQVRELKTKISAMKEEKEQLSAERQEQIKQRTKLELKAKDLQDELAGNGGTVLTATTSELEAINKRVKDTMARSEDLDNSIDKTEAGIKELQKSMERWKNMEKEHMDAINHDTKELE |
| Prediction | 846647644551454256156435514542551455255355445435654453355445144426504642576555435544531552455356335535514651553455355146536535545553454345546548 |
| 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 | CCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCC KRETSGEKSRQLRDAQQDARDKMEDIERQVRELKTKISAMKEEKEQLSAERQEQIKQRTKLELKAKDLQDELAGNGGTVLTATTSELEAINKRVKDTMARSEDLDNSIDKTEAGIKELQKSMERWKNMEKEHMDAINHDTKELE | |||||||||||||||||||
| 1 | 4pxtA | 0.04 | 0.04 | 2.06 | 1.33 | DEthreader | IQTNLQVIEENNQRHKA-LDS-QEKFATIIDSSLQSVEEHAKQ-HKKLEQLGA-SLPDAEELQNLQEELANERALAQQEDALLES---Q-EQIKNLRSKNSIS-SVHLNK-EESRLTRNHRIDDIKSGIQDYQKLGIEASQSAQ | |||||||||||||
| 2 | 3na7A | 0.15 | 0.15 | 4.94 | 1.05 | SPARKS-K | EISHLDKEIDSLEPLIREKRKDLDKALNDKEAKNKAILNLEEEKLALKLQVSKNEQTLQDTNAKIASIQKKMSEKSERELRSLNIEEDIAKERSNQANREIENLQNEIKRKSEKQEDLKKEMLELEKLALELESLVENEVKNIK | |||||||||||||
| 3 | 6gaoA | 0.12 | 0.11 | 3.93 | 1.01 | HHsearch | -------HMEEIKKQVQVNVDDIRAANIKLDGLGRQIADISNSISTIESRLGEMDNRLVGISSQVTQLSNSVSQNTQSLGDRVEPRVDSLDTVTSNLTGRTSTLEADVGS---LRTELAALTTRVTTEVTRLDGLINSGQTRLE | |||||||||||||
| 4 | 2tmaA1 | 0.16 | 0.15 | 5.08 | 1.40 | FFAS-3D | --ENALDRAEQAEADKKAAEDRSKQLEDELVSLQKKLKGTEDELDKYSEALKDAQEKLELAEKKATDAEADVAS-LNRRIQLVEEELDRAQERLATALQKLEEAEKAADESERGMKVIESRAQKDEEKMEIQEIQLKEAKH--- | |||||||||||||
| 5 | 6f1tX | 0.11 | 0.11 | 4.00 | 1.33 | DEthreader | HKTDLEHLEQEKHELRRRFENREGEWEGRVSELETDVKQLQDELERQQLHLREADREKTRAVQELSEQNQRLLDQLSRASEVERQLSMQVHALKEDFREKNSSTNQHIIRLESLQAEIKMLSDRKRELEHRLSATLEENDLLQV | |||||||||||||
| 6 | 6z9lA1 | 0.10 | 0.10 | 3.60 | 1.05 | SPARKS-K | AIEKAKEQVATDTQAVDEQQKVVDQAQTDVNQQQAVVDEKAKETNAAKVQNEKDQQAVTAAKQEQAKLEELAKNAV---LEKAKTNVAEAQAIEQTSAKVLKEKQEAQKAEENTLNSLKEVLDLAKENLNQKQVALKTSTRSLS | |||||||||||||
| 7 | 6h2xA | 0.07 | 0.07 | 2.88 | 0.97 | MapAlign | QQEKIERYEADLDELQIRLEEQNEVVAEAIERQQENEARAEAAELEVDELKSQLADYQQALDVQQTRAIQYNQAELSGNSDLNEKLRERLEQAEAERTRAREALRGHAAQLSQYNQVLASLKSSYDTKKELLNDLQRELQDIGV | |||||||||||||
| 8 | 6z9lA4 | 0.11 | 0.11 | 4.00 | 0.59 | CEthreader | ELANKQKEEAKAKDQKTKDDQAVADQQTVVTTSQEKVTDAKADTAAKQADLTAKENALKDKQAATKQAQNTLDNTAQQAESDAQQARSASQQALNTAKTTQATAEKELSVHKATLANLQAVATKSTTNYEEKVRQTATAEKSLQ | |||||||||||||
| 9 | 3na7A | 0.15 | 0.15 | 4.94 | 0.87 | MUSTER | EISHLDKEIDSLEPLIREKRKDLDKALNDKEAKNKAILNLEEEKLALKLQVSKNEQTLQDTNAKIASIQKKMSEISERELRSLNIEEDIAKERSNQANREIENLQNEIKRKSEKQEDLKKEMLELEKLALELESLVENEVKNIK | |||||||||||||
| 10 | 6gaoA1 | 0.10 | 0.09 | 3.37 | 0.93 | HHsearch | -------HMEEIKKQVQVNVDDIRAANIKLDGLGRQIADISNSISTIESRLGEMDNRLVGISSQVTQLSNSVSQNTQSLGDRLDTVTSNLTGRTSTLEADVGSLRTELAA---LTTRVTTEVTRLDGLINSGQNSIGELSTRLS | |||||||||||||
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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. |