| >P00966 (142 residues) MSSKGSVVLAYSGGLDTSCILVWLKEQGYDVIAYLANIGQKEDFEEARKKALKLGAKKVF IETSLARPCIARKQVEIAQREGAKYVSHGATGKGNDQVRFELSCYSLAPQIKVIAPWRMP EFYNRFKGRNDLMEYAKQHGIP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSSKGSVVLAYSGGLDTSCILVWLKEQGYDVIAYLANIGQKEDFEEARKKALKLGAKKVFIETSLARPCIARKQVEIAQREGAKYVSHGATGKGNDQVRFELSCYSLAPQIKVIAPWRMPEFYNRFKGRNDLMEYAKQHGIP |
| Prediction | CCCCCSSSSSSCCCCHHHHHHHHHHHHCCSSSSSSSSCCCCCCHHHHHHHHHHHCCCSSSSCCCCCCHHHHHHHHHHHHHHCCSSSSCCCCCCCCHHHHHHHHHHHHCCCCSSSSSSCCHHHHHCCCCHHHHHHHHHHHCCC |
| Confidence | 9999859999779814799999999729926999996288412799999999929964663354323799999999999959949944876788525659999999699985998523644431039999999999991999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSSKGSVVLAYSGGLDTSCILVWLKEQGYDVIAYLANIGQKEDFEEARKKALKLGAKKVFIETSLARPCIARKQVEIAQREGAKYVSHGATGKGNDQVRFELSCYSLAPQIKVIAPWRMPEFYNRFKGRNDLMEYAKQHGIP |
| Prediction | 8663520000002310010002003646040100002224444154035204624033221434443332044005104636052325233344343221320031233614000001135136426115301510674738 |
| 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 | CCCCCSSSSSSCCCCHHHHHHHHHHHHCCSSSSSSSSCCCCCCHHHHHHHHHHHCCCSSSSCCCCCCHHHHHHHHHHHHHHCCSSSSCCCCCCCCHHHHHHHHHHHHCCCCSSSSSSCCHHHHHCCCCHHHHHHHHHHHCCC MSSKGSVVLAYSGGLDTSCILVWLKEQGYDVIAYLANIGQKEDFEEARKKALKLGAKKVFIETSLARPCIARKQVEIAQREGAKYVSHGATGKGNDQVRFELSCYSLAPQIKVIAPWRMPEFYNRFKGRNDLMEYAKQHGIP | |||||||||||||||||||
| 1 | 2nz2A | 0.94 | 0.92 | 25.69 | 1.33 | DEthreader | -K--GSVVLAYSGGLDTSCILVWLKEQGYDVIAYLANIGQKEDFEEARKKALKLGAKVFIEDVSFARPCIARKQVEIAQREGAKYVSHGATGKGNDQVRFELSCYSLAPQIKVIAPWRMPEFYNRFK-RNDLMEYAKQHGIP | |||||||||||||
| 2 | 4nzpA1 | 0.55 | 0.51 | 14.62 | 1.37 | SPARKS-K | --EVKKVVLAYSGGLDTSIILKWLQDENCEVVTFTADIGQGEELEPARKKALSLGIKEENIFIK--RPLIAKTQAQIALQTGADAVSHGATGKGNDQVRFELGYLAFSPDLKIIAPWREWDL----NSREKLLAYAQKHG-- | |||||||||||||
| 3 | 2nz2A | 0.93 | 0.89 | 25.11 | 0.63 | MapAlign | ---KGSVVLAYSGGLDTSCILVWLKEQGYDVIAYLANIG-QKEFEEARKKALKLGAKVFIEDVSLARPCIARKQVEIAQREGAKYVSHGATGKGNDQVRFELSCYSLAPQIKVIAPWRMPEFYNRF-KRNDLMEYAKQHGIP | |||||||||||||
| 4 | 3bl5E | 0.19 | 0.18 | 5.68 | 0.54 | CEthreader | ---KEKAIVVFSGGQDSTTCLLWALKEFEEVETVTFHYNQSQEVEVAKSIAEKLGVKNHLLDMSLLNLVFLSFASILAYQIGARHIITGVCETDEFVKSCNVTVNLAMKPFVIHTPLMWL-------NKAETWKLADELGAL | |||||||||||||
| 5 | 4nzpA1 | 0.55 | 0.51 | 14.62 | 1.53 | MUSTER | --EVKKVVLAYSGGLDTSIILKWLQDEYCEVVTFTADIGQGEELEPARKKALSLGIKEENIF--IKRPLIAKTQAQIALQTGADAVSHGATGKGNDQVRFELGYLAFSPDLKIIAPWREWD----LNSREKLLAYAQKHG-- | |||||||||||||
| 6 | 1k92A | 0.30 | 0.30 | 9.18 | 1.54 | HHsearch | LPVGQRIGIAFSGGLDTSAALLWMRQKGAVPYAYTANLGQPEDYDAIPRRAMEYGAEARLIDTPLGRAVTGTMLVAAMKEDGVNIWGDGSTYKGNDIERFYRYGLLTNAELQIYKPWLDTDFIDELGGRHEMSEFMIACGFD | |||||||||||||
| 7 | 1korB1 | 0.62 | 0.58 | 16.73 | 1.86 | FFAS-3D | ----MKIVLAYSGGLDTSIILKWLKEYRAEVIAFTADIGQGEEVEEAREKALRTGASKAIALTSIARPLIAKHLVRIAEEEGAEAIAHGATGKGNDQVRFELTAYALKPDIKVIAPWREWS----FQGRKEMIAYAEAHGIP | |||||||||||||
| 8 | 1k92A | 0.30 | 0.30 | 8.99 | 0.52 | EigenThreader | LPVGQRIGIAFSGGLDTSAALLWMRQKGAVPYAYTANLGQEEDYDAIPRRAMEYGAENRLIDCPLGRAVTGTMLVAAMKEDGVNIWGDGSTYKGNDIERFYRYGLLTNAELQIYKPWLDTDFIDELGGRHEMSEFMIACGFD | |||||||||||||
| 9 | 2nz2A | 0.99 | 0.96 | 27.02 | 1.23 | CNFpred | ---KGSVVLAYSGGLDTSCILVWLKEQGYDVIAYLANIGQKEDFEEARKKALKLGAKKVFIEDSLARPCIARKQVEIAQREGAKYVSHGATGKGNDQVRFELSCYSLAPQIKVIAPWRMPEFYNRFK-RNDLMEYAKQHGIP | |||||||||||||
| 10 | 1vl2A | 0.62 | 0.60 | 17.13 | 1.33 | DEthreader | ---KEKVVLAYSGGLDTSVILKWLCEKGFDVIAYVANVGQKDDFVAIKEKALKGASKVYVEDLRFARPLIAKRQVEIAEKEGAQYVAHGATGKGNDQVRFELTYAALNPNLKVISPWKDPEFLAKFK--TDLINYAMEKGIP | |||||||||||||
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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. |