| >Q9BVI4 (146 residues) MEREPGAAGVRRALGRRLEAVLASRSEANAVFDILAVLQSEDQEEIQEAVRTCSRLFGAL LERGELFVGQLPSEEMVMTGSQGATRKYKVWMRHRYHSCCNRLGELLGHPSFQVKELALS ALLKFVQLEGAHPLEKSKWEGNYLFP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MEREPGAAGVRRALGRRLEAVLASRSEANAVFDILAVLQSEDQEEIQEAVRTCSRLFGALLERGELFVGQLPSEEMVMTGSQGATRKYKVWMRHRYHSCCNRLGELLGHPSFQVKELALSALLKFVQLEGAHPLEKSKWEGNYLFP |
| Prediction | CCCCCCHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCC |
| Confidence | 99763158999999999999997788762099999997259917999999999999999984299655787312201346766799999999999999999999998289734899999999999999860677667898888898 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MEREPGAAGVRRALGRRLEAVLASRSEANAVFDILAVLQSEDQEEIQEAVRTCSRLFGALLERGELFVGQLPSEEMVMTGSQGATRKYKVWMRHRYHSCCNRLGELLGHPSFQVKELALSALLKFVQLEGAHPLEKSKWEGNYLFP |
| Prediction | 66556567513540452164025236302301400530457654202300300230024006536034564455754444475145302400362044015201510547544233200300030043106231554746751417 |
| 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 | CCCCCCHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCC MEREPGAAGVRRALGRRLEAVLASRSEANAVFDILAVLQSEDQEEIQEAVRTCSRLFGALLERGELFVGQLPSEEMVMTGSQGATRKYKVWMRHRYHSCCNRLGELLGHPSFQVKELALSALLKFVQLEGAHPLEKSKWEGNYLFP | |||||||||||||||||||
| 1 | 3o2qA | 0.10 | 0.09 | 3.29 | 1.17 | DEthreader | --DDKSIEVRKFVIGFIEEACKRDIELLKLIANLNMLLRDENVNVVKKAILTMTQLYKVAL--QWMVKSR------------V-ISELQEACWDMVSAMAGDIILLLDSDNDGIRTHAIKFVEGLIVTLSPSLDRIPRDHPQYNLW | |||||||||||||
| 2 | 6em5I | 0.13 | 0.10 | 3.58 | 1.59 | HHsearch | ----EKILQLKEDIADLVTKVME---NTAALGRLCKMVESKNPNTCKFSMLALVPVFKSIIPGYRIRPL-----------EVSKLRNFEQALVYNYKNYVGRLQSLSKTPSVSLGILATQAAKELISTA-----------SHFNFR | |||||||||||||
| 3 | 3gs3A | 0.07 | 0.06 | 2.53 | 1.17 | DEthreader | ----SNMEVRKQVVAFVEQVCKVKELLPHVINVVSMLLRDNSAQVIKRVIQACGSIYKNGL--QYLCSLM------------E-PGDSAEQAWNILSLIKAQILDMIDNENDGIRTNAIKFLEGVVVLQSFSLADVPDHCTRRELQ | |||||||||||||
| 4 | 6w2vA | 0.10 | 0.10 | 3.77 | 0.68 | SPARKS-K | AKQSTDPNLVAEVVRALTEVAKTSTDT-ELIREIIKVLLERDPQAVLEALQAVAELARELAEKTAAAEAVKKAADLLKRHPGSEAAQAALELAKAAAEAVLIACLLALDPKSDIAKKCIKAASEAAEEASKAAQRHPDSQKARDEI | |||||||||||||
| 5 | 3gs3A | 0.09 | 0.08 | 3.11 | 0.74 | MapAlign | -AHDSNMEVRKQVVAFVEQVCKKVELLPHVINVVSMLLRDNSAQVIKRVIQACGSIYKNGLQ--YLCSLMEP-------------GDSAEQAWNILSLIKAQILDMIDNENDGIRTNAIKFLEGVVVLQSFADEDSLKRDGDFSLA | |||||||||||||
| 6 | 3gs3A | 0.08 | 0.08 | 2.93 | 0.56 | CEthreader | LAHDSNMEVRKQVVAFVEQVCKVKELLPHVINVVSMLLRDNSAQVIKRVIQACGSIYKNGLQYLC---------------SLMEPGDSAEQAWNILSLIKAQILDMIDNENDGIRTNAIKFLEGVVVLQSFADEDSLKRDGDFSLA | |||||||||||||
| 7 | 3nowA | 0.11 | 0.11 | 3.92 | 0.53 | MUSTER | LIKPGKDKDIRRWAADGLAYLTLDAECKASIHALMDLARGGNQSCLYGVVTTFVNLCNAYEKQEMLPEMKFAKQHIPEEHELDDVDFINKRITVLANEITTALCALAKTESHNSQELIARVLNAVCGKELRGKVVQEG-----GVK | |||||||||||||
| 8 | 6em5I1 | 0.10 | 0.09 | 3.25 | 0.73 | HHsearch | ----EKILQLKEDIADLVTKVME---NTAALGRLCKMVESKNPNTCKFSMLALVPVFKSIIPGYRIRPL-----------EVSKLRNFEQALVYNYKNYVGRLQSLSKTPQVSLGILATQAAKELISTASHFNFRTDICKPR---- | |||||||||||||
| 9 | 3gs3A | 0.13 | 0.11 | 3.82 | 0.85 | FFAS-3D | ----DSNMEVRKQVVAFVEQVCKVKVELHVINVVSMLLRDNSAQVIKRVIQACGSIYKNGL-------------QYLCSLMEPGDSAEQAW--NILSLIKAQILDMIDNENDGIRTNAIKFLEGVVVLQSFADEDSLKRDGDFS-- | |||||||||||||
| 10 | 5me3A | 0.08 | 0.08 | 3.03 | 0.63 | EigenThreader | SNISKYRFVFDQFVTDMTTVVTLPVSDLILARLLKKLLSIFKESVALQGIGLIGSTILDIRLSSNLKAYRTCLAYCTNSVQHHTPYKFLWCKQLDVLTKLKEVLSLLERHKVKLRSGAIRCLALLISKDIENRLTDSSPLVKDAIL | |||||||||||||
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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. |