| >Q9GZS3 (143 residues) MTNQYGILFKQEQAHDDAIWSVAWGTNKKENSETVVTGSLDDLVKVWKWRDERLDLQWSL EGHQLGVVSVDISHTLPIAASSSLDAHIRLWDLENGKQIKSIDAGPVDAWHQDQVWGVKY NGNGSKIVSVGDDQEIHIYDCPI |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MTNQYGILFKQEQAHDDAIWSVAWGTNKKENSETVVTGSLDDLVKVWKWRDERLDLQWSLEGHQLGVVSVDISHTLPIAASSSLDAHIRLWDLENGKQIKSIDAGPVDAWHQDQVWGVKYNGNGSKIVSVGDDQEIHIYDCPI |
| Prediction | CCCCCCCSSSSSCCCCCCSSSSSSCCCCCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSSCCCCCCCSSSSSSCCCCCSSSSSCCCCCSSSSSCCCCCSSSSSSCCCCCCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSCCCC |
| Confidence | 98887752498707779879999879999888689997189919997678994223160058889889999889999899980899189877899948999857887788779789999989999899982899099981659 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MTNQYGILFKQEQAHDDAIWSVAWGTNKKENSETVVTGSLDDLVKVWKWRDERLDLQWSLEGHQLGVVSVDISHTLPIAASSSLDAHIRLWDLENGKQIKSIDAGPVDAWHQDQVWGVKYNGNGSKIVSVGDDQEIHIYDCPI |
| Prediction | 85654351344054144302000001334653310001134310100127444442333050054323010403523200011443101012273352134052554454143202000104524300010433103115058 |
| 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 | CCCCCCCSSSSSCCCCCCSSSSSSCCCCCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSSCCCCCCCSSSSSSCCCCCSSSSSCCCCCSSSSSCCCCCSSSSSSCCCCCCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSCCCC MTNQYGILFKQEQAHDDAIWSVAWGTNKKENSETVVTGSLDDLVKVWKWRDERLDLQWSLEGHQLGVVSVDISHTLPIAASSSLDAHIRLWDLENGKQIKSIDAGPVDAWHQDQVWGVKYNGNGSKIVSVGDDQEIHIYDCPI | |||||||||||||||||||
| 1 | 5ganH | 0.22 | 0.20 | 6.18 | 1.33 | DEthreader | ------QPLTQKLSHVGKIGAIDWHPDS---NNQMISCAEDGLIKNFQYSNGGLRLLGDLVGHERRISDVKYHPSGKFIGSASHDMTWRLWDASTHQELLLQEG------HDKGVFSLSFQCDGSLVCSGGMDSLSMLWDIRS | |||||||||||||
| 2 | 5ganH2 | 0.18 | 0.17 | 5.44 | 1.62 | SPARKS-K | QRMANLELAGSQLVSTKPISAVSLS----TDDMVVATGSWAGDLQVLNSQTTQKLDSHVGKIHRNIVTQVRFSKGGKKLVSCGYDNLINVYSSDTWLKMGSLAG------HTDKIISLDISNNSHFLVSGGWDRSIKLWN--- | |||||||||||||
| 3 | 6zu9l | 0.22 | 0.18 | 5.74 | 0.32 | MapAlign | -----------IKLHERPLTQVKYNKE----GDLLFSCSKDSSASVWYSL--NGERLGTLDGHTGTIWSIDVDCFTKYCVTGSADYSIKLWDVSNGQCVATWKS------P-VPVKRVEFSPCGNYFLAILDNPGINIYEIER | |||||||||||||
| 4 | 5nnzB | 0.20 | 0.18 | 5.83 | 0.20 | CEthreader | WDADTGRKVNILIGHCAEISSASFNWD----CSLILTGSMDKTCKLWDATN--GKCVATLTGHDDEILDSCFDYTGKLIATASADGTARIFSAATRKCIAKLEG------HEGEISKISFNPQGNHLLTGSSDKTARIWDAQT | |||||||||||||
| 5 | 2h9lA | 0.27 | 0.25 | 7.71 | 1.29 | MUSTER | PVKPNYALKFTLAGHTKAVSSVKFSPNG----EWLASSSADKLIKIWGAYDGK--FEKTISGHKLGISDVAWSSDSNLLVSASDDKTLKIWDVSSGKCLKTLKG------HSNYVFCCNFNPQSNLIVSGSFDESVRIWDVKT | |||||||||||||
| 6 | 3dm0A | 0.23 | 0.22 | 6.79 | 0.62 | HHsearch | DDKAYGVAQRRLTGHSHFVEDVVLSSD----GQFALSGSWDGELRLWDLAAGVS--TRRFVGHTKDVLSVAFSLDNRQIVSASRDRTIKLWNTL-GECKYTISE--GGEGHRDWVSCVRFSPNTLTIVSASWDKTVKVWNLSN | |||||||||||||
| 7 | 4j87A1 | 0.17 | 0.15 | 5.05 | 1.80 | FFAS-3D | ---TKFESRSSRAGHDRGVNWCAFHP----TLPLILSAGDDRLVKLWRMTASKAWEVDTCRGHFNNVSCCLFHPHQELILSASEDKTIRVWDLNRRTAVQTFRR------ANDRFWFITVHPKLNLFAAAH-DSGVMVFKLE- | |||||||||||||
| 8 | 5i2tA1 | 0.20 | 0.19 | 6.04 | 0.45 | EigenThreader | RQFAPFVRHRVHAGHFQDITSLTWSQD----SRFILTTSKDLSAKIWSVDSEENLAATTFNGHRDYVMGAFFSHDQEKIYTVSKDGAVFVWEFTSWRITKKHFFY----ANQAKVKCVTFHPATRLLAVGFTSGEFRLYDLPD | |||||||||||||
| 9 | 5mzhA | 0.21 | 0.19 | 6.01 | 2.00 | CNFpred | WDVRSGRCLSVKQGHTDEVLDVAFDAA----GTKMVSASADGSARLYHTL--TGVCQHTLVGHEGEISKVAFNPQGTRLITASSDKTCRLWDCDTGECLQVLEGH------TDEIFSCAFNYEGDFIITGSKDNTCRIWKALT | |||||||||||||
| 10 | 5nrlH | 0.22 | 0.20 | 6.38 | 1.33 | DEthreader | -----QPLTQKLDSHVGKIGAIDWHPDS---NNQMISCAEDGLIKNFQYSNEGLRLLGDLVGHERRISDVKYHPSGKFIGSASHDMTWRLWDASTHQELLLQEG------HDKGVFSLSFQCDGSLVCSGGMDSLSMLWDIRS | |||||||||||||
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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. |