| >P48960 (143 residues) LWSFLGPVTFIILCNAVIFVTTVWKLTQKFSEINPDMKKLKKARALTITAIAQLFLLGCT WVFGLFIFDDRSLVLTYVFTILNCLQGAFLYLLHCLLNKKVREEYRKWACLVAGGSKYSE FTSTTSGTGHNQTRALRASESGI |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | LWSFLGPVTFIILCNAVIFVTTVWKLTQKFSEINPDMKKLKKARALTITAIAQLFLLGCTWVFGLFIFDDRSLVLTYVFTILNCLQGAFLYLLHCLLNKKVREEYRKWACLVAGGSKYSEFTSTTSGTGHNQTRALRASESGI |
| Prediction | CSSHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHSCCCCHHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC |
| Confidence | 81138999999999999999999999983013574223688999999999999999969987532110773089999999999869999999999748999999999974014687776677777899989876556787899 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | LWSFLGPVTFIILCNAVIFVTTVWKLTQKFSEINPDMKKLKKARALTITAIAQLFLLGCTWVFGLFIFDDRSLVLTYVFTILNCLQGAFLYLLHCLLNKKVREEYRKWACLVAGGSKYSEFTSTTSGTGHNQTRALRASESGI |
| Prediction | 44133121020204343420200220123246555535434433321311130133333332100121344320111011210231133002000013640152034203434465545544444444444444444446447 |
| 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 | CSSHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHSCCCCHHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC LWSFLGPVTFIILCNAVIFVTTVWKLTQKFSEINPDMKKLKKARALTITAIAQLFLLGCTWVFGLFIFDDRSLVLTYVFTILNCLQGAFLYLLHCLLNKKVREEYRKWACLVAGGSKYSEFTSTTSGTGHNQTRALRASESGI | |||||||||||||||||||
| 1 | 1st6A | 0.04 | 0.03 | 1.87 | 1.00 | DEthreader | --ETMEDLVTYTKNLGPGMTKMAKMIDERQQELTH-QEHRVMLVNSMNTVKELLPVLISAMKIFVTTKNT-KSQGIEEALKNRNFTVEKMSAEINEIRVDDAWASKDTELCAGRRPVKAAVHANKTT--LEKRTNLQE----- | |||||||||||||
| 2 | 5ee7A | 0.29 | 0.22 | 6.81 | 1.46 | SPARKS-K | WWILRFPVFLAILINFFIFVRIVQLLVAKLRA--RQMHHTDYAFRLAKSTLTLIPLLGVHFVVFAFVTDEHRSAKLFFDLALSSFQGLLVAVLYCFLNKEVQSELRRRWHRA------------------------------- | |||||||||||||
| 3 | 3jacA | 0.06 | 0.06 | 2.69 | 0.68 | MapAlign | GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG- | |||||||||||||
| 4 | 6i9kA | 0.07 | 0.06 | 2.66 | 0.41 | CEthreader | HYILGMLIIVIGIISVSGNGVVMYLMMTVKNLRT------PGNFLVLNLALSDFGMLFFMMPTMSINCFAETVIGPFMCELYGMIGSLFGSASIWSLVLLRMLFVWIWSLGWTIAPMYGWSRYVPEGSMTSCTIDYIDTAINP | |||||||||||||
| 5 | 5ee7A | 0.29 | 0.22 | 6.81 | 1.28 | MUSTER | WWILRFPVFLAILINFFIFVRIVQLLVAKLRA--RQMHHTDYAFRLAKSTLTLIPLLGVHFVVFAFVTDEHRSAKLFFDLALSSFQGLLVAVLYCFLNKEVQSELRRRWHRA------------------------------- | |||||||||||||
| 6 | 5ee7A | 0.29 | 0.22 | 6.81 | 2.16 | HHsearch | WWILRFPVFLAILINFFIFVRIVQLLVAKLRARQ--MHHTDYAFRLAKSTLTLIPLLGVHFVVFAFVTDEHRSAKLFFDLALSSFQGLLVAVLYCFLNKEVQSELRRRWHRA------------------------------- | |||||||||||||
| 7 | 5ee7A1 | 0.29 | 0.22 | 6.80 | 1.65 | FFAS-3D | WWILRFPVFLAILINFFIFVRIVQLLVAKLR--ARQMHHTDYAFRLAKSTLTLIPLLGVHFVVFAFVTDEHRSAKLFFDLALSSFQGLLVAVLYCFLNKEVQSELRRRWHR-------------------------------- | |||||||||||||
| 8 | 2pedA | 0.06 | 0.06 | 2.49 | 0.62 | EigenThreader | EPWQFSMLAAYMFLLIMLGFPINFLTLYVTVQHKKLRPLNYILLNLAVADLFMVFGGFTTTLYTSLHGYFV---FGPTGCNLEGFFATLGGEIALWSLVVLAIERYVVVCKPMSNFRFIDYYTPHEETNNESFVIYMFVVHFI | |||||||||||||
| 9 | 5ee7A | 0.29 | 0.22 | 6.80 | 0.90 | CNFpred | WWILRFPVFLAILINFFIFVRIVQLLVAKLRARQ--MHHTDYAFRLAKSTLTLIPLLGVHFVVFAFVTDEHRSAKLFFDLALSSFQGLLVAVLYCFLNKEVQSELRRRWHR-------------------------------- | |||||||||||||
| 10 | 4zwjA | 0.11 | 0.09 | 3.27 | 1.00 | DEthreader | LESVIYMFVVHFTIPMIIIFFCYGQLVTVKAA-STTQKAEKEVTRMVIIYVIAFLIWVPYASVAFYIFSCFGPIFMTIPAFFAKSAAIYNPVIYIMMNKQFRNCMLTTICCG---KN---------PE-------------RT | |||||||||||||
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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. |