| >Q96DX4 (143 residues) TKDALQKLTEILNLNGEVACQDSSHPAKHRNTSAVLGCLAEKLAGPASIGLLSPGILEYL LQCLKLQSHPTVMLFALIALEKFAQTSENKLTISESSISDRLVTLESWANDPDYLKRQVG FCAQWSLDNLFLKEGRQLTYEKV |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | TKDALQKLTEILNLNGEVACQDSSHPAKHRNTSAVLGCLAEKLAGPASIGLLSPGILEYLLQCLKLQSHPTVMLFALIALEKFAQTSENKLTISESSISDRLVTLESWANDPDYLKRQVGFCAQWSLDNLFLKEGRQLTYEKV |
| Prediction | CHHHHHHHHHHHCCCHHHHHCCCCCHHHHHHHHHHHHHHHHHCCCCHHHHHHCCHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHCCCHHHHHHHHHHHHHHHCCSSSSCCCCCCSSCC |
| Confidence | 72899999999762133311134670667779999999999717831115515128999999648678961245799999999987675999997287563699999841954889999999998740366647964541229 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | TKDALQKLTEILNLNGEVACQDSSHPAKHRNTSAVLGCLAEKLAGPASIGLLSPGILEYLLQCLKLQSHPTVMLFALIALEKFAQTSENKLTISESSISDRLVTLESWANDPDYLKRQVGFCAQWSLDNLFLKEGRQLTYEKV |
| Prediction | 85621340153040346325666442542320000111115414243112013740141015104674423020101121341153462323046543743033034126375113310320041002210126635242658 |
| 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 | CHHHHHHHHHHHCCCHHHHHCCCCCHHHHHHHHHHHHHHHHHCCCCHHHHHHCCHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHCCCHHHHHHHHHHHHHHHCCSSSSCCCCCCSSCC TKDALQKLTEILNLNGEVACQDSSHPAKHRNTSAVLGCLAEKLAGPASIGLLSPGILEYLLQCLKLQSHPTVMLFALIALEKFAQTSENKLTISESSISDRLVTLESWANDPDYLKRQVGFCAQWSLDNLFLKEGRQLTYEKV | |||||||||||||||||||
| 1 | 4hm9A | 0.19 | 0.19 | 6.08 | 1.33 | DEthreader | EIDALVDGQVVALLVQ-NLERLDEEADGVHNTLAIVENMAEFRPE-MCTEGAQQGLLQWLLKRLKAMPFDANKLYCSEVLAILLQNDENRELLGELDGIDVLLQQLSVFNPSTAEEQEMMENLFDSLCSCLRFLEGLMSSALG | |||||||||||||
| 2 | 5z8hA2 | 0.16 | 0.15 | 4.87 | 0.91 | SPARKS-K | VDGALAFLVGTL--TYRS---QTNTLAIIESGGGILRNVSSLIATNHRQILRENNCLQTLLQHLKSH-SLTIVSNACGTLWNLSANPKDQEALWDM---GAVSMLKNLIHSKHK---MIAMGSAAALRNLMANRPAKYKDAN- | |||||||||||||
| 3 | 2z6gA | 0.14 | 0.14 | 4.76 | 0.50 | MapAlign | KMMVCQVGIEAL---VRTVLRAGDREDITEPAICALRHLTSQDAEMAQNAVRLHYGLPVVVKLLHPPSHWPLIKATVGLIRNLALCPANHAPLREQGAIPRLVQLLVATSQVEGVMEEIVEACTGALHILARDIHNRIVIRGL | |||||||||||||
| 4 | 2z6gA | 0.13 | 0.13 | 4.40 | 0.36 | CEthreader | NYKNKMMVCQGIEALVRTVLRAGDREDITEPAICALRHLTSRDAEMAQNAVRLHYGLPVVVKLLHPPSHWPLIKATVGLIRNLALCPANHAPLREQGAIPRLVQLLVRAHVEGVRMEEIVEACTGALHILARDIHNRIVIRGL | |||||||||||||
| 5 | 4uaeA1 | 0.22 | 0.18 | 5.72 | 0.87 | MUSTER | --TSLEAIVQNAS---------SDNQGIQLSAVQAARKLLSSDRNPPIDDLIKSGILPILVHCLERDDNPSLQFEAAWALTNIASTSEQTQAVVQS---NAVPLFLRLLHSPH---QNVCEQAVWALGNI-IGD--------- | |||||||||||||
| 6 | 1wa5B | 0.14 | 0.13 | 4.31 | 0.74 | HHsearch | KKEACWTISNITAGNTEQKLLEVAEYKTKKEACWAISNASSGGLPDIIRYLVSQGCIKPLCDLLEIA-DNRIIEVTLDALENILKMGEADKENADFIEKGGMEKIFNCQQNEN---DKIYEKAYKIIETYFGEEE-------- | |||||||||||||
| 7 | 7anwA4 | 0.17 | 0.11 | 3.69 | 0.80 | FFAS-3D | -RSVAGILEHMFKHSEETCQRRRTDPALLRHCALALGNCALHGGQAVQRRMVEKRAAEWLFPLAFSKEDELLRLHACLAVAVLATNKEVEREVERS----------------------------------------------- | |||||||||||||
| 8 | 2z6gA1 | 0.09 | 0.08 | 3.22 | 0.68 | EigenThreader | YQDDAELATRAIPELTKLLNDED--QVVVNKAAVMVHQLSK--KEASRHAIMRPQMVSAIVRTMQNTNDVETARCTSGTLHNLSHHREGLLAIFKS---GGIPALVNMLGSPVDSVLFHAITTLHNLLLHQEGAKMAVRLAGG | |||||||||||||
| 9 | 2gl7A | 0.22 | 0.17 | 5.53 | 0.83 | CNFpred | ATRAIPELTKLLNDE---------DQVVVNKAAVMVHQLSKKEASRHAIMR-SPQMVSAIVRTMQNTNDVETARCTAGTLHNLSHHREGLLAIFKS---GGIPALVKMLGSP---VDSVLFYAITTLHNLLL----------- | |||||||||||||
| 10 | 2fv2C | 0.13 | 0.13 | 4.36 | 1.33 | DEthreader | RSAFLAA-HIPLFL-YPFLHTVSKFEYLRLTSLGVIGALVKTDEQEVINFLLTTEIIPLCLRIMES-GSELSKTVATFILQKILLDDTGLAYICTRSHAMILGKMVLQLSKEP--SARLLKHVVRCYLRLSREAQCLPQLKDT | |||||||||||||
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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. |