| >Q8WVB6 (252 residues) TPPPSPEDLAELWGHGVSEAAADVGLTRASPAARNPVLRRPPILEDYVHVTSTEGVRAYL VLRADPMAPGVQGSLLHVPWRGGGQLDLLGVSLASLKKQVDGERRERLVGLKDQRRGLFS VWQEVFQLPRAQRRRVGQDPALPADTLLLGDGDAGSLTSASQRFYRVLHAAASAGEHEKV VQGLFDNFLRLRLRDSSLGAVCVALDWLAFDDLLAGAAHHSQSFQLLRYPPFLPVAFHVL FASSHTPRITFP |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | TPPPSPEDLAELWGHGVSEAAADVGLTRASPAARNPVLRRPPILEDYVHVTSTEGVRAYLVLRADPMAPGVQGSLLHVPWRGGGQLDLLGVSLASLKKQVDGERRERLVGLKDQRRGLFSVWQEVFQLPRAQRRRVGQDPALPADTLLLGDGDAGSLTSASQRFYRVLHAAASAGEHEKVVQGLFDNFLRLRLRDSSLGAVCVALDWLAFDDLLAGAAHHSQSFQLLRYPPFLPVAFHVLFASSHTPRITFP |
| Prediction | CCCCCHHHHHHHCCCCCHHHHCCCCCCCCCCCCCCCCCCCCSSSCCCCCCCCCHHHHHHHHHHCCCCCCHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHCCCHHHHHHCCCCCCCHHHHCCCCCCCCCCCHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHCCCSSCCCCCCHHHHHHHHHHHCCCCCCCCCC |
| Confidence | 999871345776278822321344533355222686556875651577875415775566343134653028899999999499667777889999875567887655411102255999999996044124442112332100121023445554320789999999999972875799999999711476678723589999999999999999998608712021233389999999716799888999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | TPPPSPEDLAELWGHGVSEAAADVGLTRASPAARNPVLRRPPILEDYVHVTSTEGVRAYLVLRADPMAPGVQGSLLHVPWRGGGQLDLLGVSLASLKKQVDGERRERLVGLKDQRRGLFSVWQEVFQLPRAQRRRVGQDPALPADTLLLGDGDAGSLTSASQRFYRVLHAAASAGEHEKVVQGLFDNFLRLRLRDSSLGAVCVALDWLAFDDLLAGAAHHSQSFQLLRYPPFLPVAFHVLFASSHTPRITFP |
| Prediction | 844541720362266424556564434644554353102100000222314214503310302543535213520340053172302100200320354245434543244444453024005401534444544455544344444444455445444445204301510463442320030014102514141532430120120010012023203542322023133200000110002363452628 |
| Values range from 0 (buried residue) to 8 (highly exposed residue) | |
| Rank | PDB hit | ID1 | ID2 | Cov | Norm. Zscore | Downloadalignment | 20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CCCCCHHHHHHHCCCCCHHHHCCCCCCCCCCCCCCCCCCCCSSSCCCCCCCCCHHHHHHHHHHCCCCCCHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHCCCHHHHHHCCCCCCCHHHHCCCCCCCCCCCHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHCCCSSCCCCCCHHHHHHHHHHHCCCCCCCCCC TPPPSPEDLAELWGHGVSEAAADVGLTRASPAARNPVLRRPPILEDYVHVTSTEGVRAYLVLRADPMAPGVQGSLLHVPWRGGGQLDLLGVSLASLKKQVDGERRERLVGLKDQRRGLFSVWQEVFQLPRAQRRRVGQDPALPADTLLLGDGDAGSLTSASQRFYRVLHAAASAGEHEKVVQGLFDNFLRLRLRDSSLGAVCVALDWLAFDDLLAGAAHHSQSFQLLRYPPFLPVAFHVLFASSHTPRITFP | |||||||||||||||||||
| 1 | 3o6xA | 0.07 | 0.06 | 2.26 | 0.83 | DEthreader | RVDAEKGTPISRMA--H-FLLAWD-GS---------SPAFIPTIFDYKTPLLKALAAVDVFTNGIFECLANDHNQLVM----H----K-NNWSLLFFLNVLMMVHNQLLRASIMSA-G-NS--HR------A-----------PAIL-PAGYSWKQ-----NICHVPEAL-ELEKYTMKVQIESRVLGDLAIVRSAIKVLVRDMTEARKVANHK--E--------NFKEKAFAYETVRPYLESRDHIDPLP- | |||||||||||||
| 2 | 1sxjA | 0.15 | 0.13 | 4.40 | 1.15 | SPARKS-K | GDRGGVGQLAQFCRKTSCNERNLPKMRPFDRVCLDIQFRRPDIKSRLMTIAIREKFK----LDPNVIDRLIQTTRGDI----RQVINLLST-ISTTTKTINHENINEISKAKNIALKPFDIAHKMLDGQIYSDIGSRNFT-----------------------LNDKIALYF--DDFDFTPLMIQENYLSTRPSQSHLEAVAEAANCISLGDIVEKKIRSSQLWSLLPLHAVLSSVYPASKVAGHAGRINFT | |||||||||||||
| 3 | 1sxjA | 0.11 | 0.10 | 3.55 | 1.16 | MapAlign | -VCGNKGSVMKLKNWLANWENSKKNSFKHAGKDGSGVFRANSIKSRLMTIAIREKFKLD----PNVIDRLIQTTRGDIRQVINLLSTISTT--TKTINHENINEISKAWEKNIALK-PFDIAHKMLDG-----------------------QIYSDIGSRNFTLNDKIALYFDD--FDFTPLMIQENYLSTRPSVLHLEAVAEAANCISLGDIVEKKISSEQLWSLLPLHAVLSVYPASKVAGHMAGRINFT | |||||||||||||
| 4 | 1sxjA | 0.16 | 0.14 | 4.63 | 0.90 | CEthreader | GGVGQLAQFCRKTSTPLILICNERNLPKMRPFDRVCLDIRRPDANSIKSRLMTIAIREKFKLDPNVIDRLIQTTRGDI----RQVINLLSTISTT-TKTINHENINEISKAWEKALKPFDIAHKMLDGQIY-------------------------SDIGSRNFTLNDKIALYFDDFDFTPLMIQENYLSTRPSVLHLEAVAEAANCISLGDIVEKKIRSSQLWSLLPLHAVLSVYPASKVAGHMAGRINFT | |||||||||||||
| 5 | 1sxjA | 0.17 | 0.15 | 4.81 | 0.75 | MUSTER | YFKHQNLNGKEVDGMSGGDRGGVGQLAQFCRKTSTPLI-RPSIKSRLMTIAIREKFK----LDPNVIDRLIQTT--------RGDIRQVINLLSTISKTINHENINEISKEKNIALKPFDIAHKMLDGQ-------------------------IYSDIGSRNFTLNDKIALYFDDFDFTPLMIQENYLSTRPSQSHLEAVAEAANCISLGDIVEKKIRSSQLWSLLPLHAVLSSVYPASKVAGHAGRINFT | |||||||||||||
| 6 | 6vvoA | 0.17 | 0.13 | 4.33 | 3.70 | HHsearch | SDTRSKSSLSVSTKHALIMDEVDGMIRSLVHYCFDLRFQRPRIKGAMMSIAFKEGLK----IPPPAMNEIILGANQDI----RQVLHNLS--MWCARSK--------------ALMGPFDVARKVFAAGEETAHMS-----------------------LV----DKSD--LFFHDYSIAPLFVQENYIHVKPVAKHLMLLSRAADSICDGDLVDSQIRSKQNWSLLPAQAIYSVLPGELMRGYMTQFPTFP | |||||||||||||
| 7 | 6vvoA2 | 0.19 | 0.08 | 2.68 | 1.11 | FFAS-3D | -------------------------------------------------------------------------------------------------------------------MGPFDVARKVFAAG-----------------------EETAHMSLVDKSDLFF------HDYSIAPLFVQENYIHVKPVAKHLMLLSRAADSICDGDLVDSQIRSKQNWSLLPAQAIYAVLPGELMRGYMTQFPTFP | |||||||||||||
| 8 | 6vvoA | 0.12 | 0.10 | 3.54 | 0.98 | EigenThreader | QGDQSCANKLLRWLRNWQK-------SSDDGSSFKAALPGVGKTTTASLVCQELGYSYVELNTRSKSSLKAIVVDGMAGNEDRGGIQELIGLIKHTKIPQDIRQVLHNCARSKALMGPFDVARKV-----------------------FAAGEETAHMSLVDKSDLFFH------DYSIAPLFVQENYIHVKPVAAGLMLLSRAADSICDGDLVDSQIRSKQNWSLLPAQAIYASVLPGELMRGYMTQFPTF | |||||||||||||
| 9 | 1sxjA | 0.15 | 0.11 | 3.75 | 1.04 | CNFpred | ----------------------------FDRVCLDIQFRRPSIKSRLMTIAIREKFKL----DPNVIDRLIQTTRGDI----RQVINLLSTISTTT-KTINHENINEISKAKNIALKPFDIAHKMLDGQIYSDIGSR-----------------------NFTLNDKIALYFD--DFDFTPLMIQENYLSTRPSVLHLEAVAEAANCISLGDIVEKKIRSEQLWSLLPLHAVLSSVYPASKVAGHMGRINFT | |||||||||||||
| 10 | 7js4A | 0.04 | 0.03 | 1.50 | 0.67 | DEthreader | SGDLFFKPVFIKSDENEV-MKELEAYVEKIEKTTPNIQTYAWY-PYTAEQWDQADNFRIMPMKNLMNGIRPGN-DAILAANKGWGVAHELGHNFD---TGGRTIVVTNNMMPLFEKTKTRTDQNIWENTYPKVLYNEL------LAPLWQREYKARHGIKIYYL-NDLA-MN----Y---------------SKLSFSV-DDENKDN-----------------------------ILGYTSNSFVSPASSD | |||||||||||||
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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. |