| >Q9BXY5 (145 residues) QEDDIIIQETNDRLVFKAIQDVLKEKLHKRGVRILTGLGKYFQQLDKEGNGLLDKADFKQ ALKVFHLEVSEKDFESAWLILNDNGNGKVDYGEFKRGIIGEMNEYRKSYVRKAFMKLDFN KSGSVPIINIRKCYCAKKHSQVISG |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | QEDDIIIQETNDRLVFKAIQDVLKEKLHKRGVRILTGLGKYFQQLDKEGNGLLDKADFKQALKVFHLEVSEKDFESAWLILNDNGNGKVDYGEFKRGIIGEMNEYRKSYVRKAFMKLDFNKSGSVPIINIRKCYCAKKHSQVISG |
| Prediction | CHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHCCCCCCCSCHHHHHHHHHHHCCCCCHHHHHHHHHHHCCCCCCCSCHHHHHHHHHHHCCHCHHHHHHHHHHHHCCCCCCSSCHHHHHHHHCCCCCCCCCCC |
| Confidence | 8047888887655899999999999999739179999999999976899895369999999999799999999999999978879981529999999974124225999999999977999981529999999555579752579 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | QEDDIIIQETNDRLVFKAIQDVLKEKLHKRGVRILTGLGKYFQQLDKEGNGLLDKADFKQALKVFHLEVSEKDFESAWLILNDNGNGKVDYGEFKRGIIGEMNEYRKSYVRKAFMKLDFNKSGSVPIINIRKCYCAKKHSQVISG |
| Prediction | 8565435534654411540152035204744362054035026301643334032630250045263614572044005401655524020410240234424554452045037333565313132643340041672463478 |
| 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 | CHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHCCCCCCCSCHHHHHHHHHHHCCCCCHHHHHHHHHHHCCCCCCCSCHHHHHHHHHHHCCHCHHHHHHHHHHHHCCCCCCSSCHHHHHHHHCCCCCCCCCCC QEDDIIIQETNDRLVFKAIQDVLKEKLHKRGVRILTGLGKYFQQLDKEGNGLLDKADFKQALKVFHLEVSEKDFESAWLILNDNGNGKVDYGEFKRGIIGEMNEYRKSYVRKAFMKLDFNKSGSVPIINIRKCYCAKKHSQVISG | |||||||||||||||||||
| 1 | 6u2mA2 | 0.16 | 0.15 | 5.02 | 1.04 | SPARKS-K | ----------IPRLDTLILVKAMGHR-KRFGNEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKMKDTSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEE | |||||||||||||
| 2 | 2ggzA | 0.13 | 0.13 | 4.51 | 1.09 | MUSTER | WYRTFMMEYPSGLQTLHEFKTLLG--LQGLNQKANKHIDQVYNTFDTNKDGFVDFLEFIAAVNLIMQEKMEQKLKWYFKLYDADGNGSIDKNELLDMFMAVQTLSPEEFINLVFHKIDINNDGELTLEEFINGMAK--DQDLLEI | |||||||||||||
| 3 | 4tncA | 0.14 | 0.12 | 3.99 | 1.37 | FFAS-3D | -------------------MDQQAEARAFLSEEMIAEFKAAFDMFDADGGGDISTKELGTVMRMLGQNPTKEELDAIIEEVDEDGSGTIDFEEFLVMMVRQMKEDAEEDIEDLMKDSDKNNDGRIDFDEFLKMMEGVQ------- | |||||||||||||
| 4 | 2f33A | 0.11 | 0.10 | 3.46 | 1.00 | DEthreader | -----SH--SS-LITATENFLLLFRCQQLK---SCEEFMKTWRKYDTDHSGFIELKNFLKDLLEKNKTVDDTKLAEYTDLMLLFDNGKLELTEMARLLPV--QENFLLKFQGI-KMCGKE----FN-AF-YIDELLLNISTKN-- | |||||||||||||
| 5 | 2ggzA | 0.14 | 0.14 | 4.70 | 1.04 | SPARKS-K | ----WYRTFMMEYPSGLQTLHEFKTLLQGLNQKANKHIDQVYNTFDTNKDGFVDFLEFIAAVNLIMQEKMEQKLKWYFKLYDADGNGSIDKNELLDMFMAVQALNPEEFINLVFHKIDINNDGELTLEEFINGMAKDQDLLEIVY | |||||||||||||
| 6 | 2f33A | 0.13 | 0.12 | 4.08 | 0.74 | MapAlign | ---------AHVLPTEENF-LLLFRCQQ---LKSCEEFMKTWRKYDTDHSGFIETEELKNFLKDLKATVDDTKLAEYTDLMLLFDSGKLELTEMARLLPVQNLLKFQKEFNKAFELYDQDGNGYIDENELDALLKDLCEKNKQEL | |||||||||||||
| 7 | 6xyrA2 | 0.15 | 0.14 | 4.86 | 0.39 | CEthreader | --------MARWKKAFIAVSAANRFKKIQLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEE | |||||||||||||
| 8 | 6tz6B | 0.17 | 0.16 | 5.21 | 1.02 | MUSTER | ------IEEI--DRLRKRFMKLIKQEFLSPGISSNPLATRLMDVFDKDGDGSIDFEEFITGLSAFSD--NLNKLRFAFNIYDIDRDGYIGNGELFIVMKMMVGKELQQIVDKTLMEADLDGDGKLNFEEFKNAVNTDTIANTLT- | |||||||||||||
| 9 | 3evuA | 0.16 | 0.14 | 4.81 | 0.77 | HHsearch | EDGNILGHKL---------E------YNTLTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKEEIDG | |||||||||||||
| 10 | 1a2xA | 0.15 | 0.12 | 3.97 | 1.33 | FFAS-3D | -------------------QAEARSYLSE---EMIAEFKAAFDMFDADGGGDISVKELGTVMRMLGQTPTKEELDAIIEEVDEDGSGTIDFEEFLVMMVRQMKEDTDEEIESLMKDGDKNNDGRIDFDEFLKMMEGVQ------- | |||||||||||||
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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. |