| >Q9Y2T3 (143 residues) MCAAQMPPLAHIFRGTFVHSTWTCPMEVLRDHLLGVSDSGKIVFLEEASQQEKLAKEWCF KPCEIRELSHHEFFMPNFEVGKEFDAILINPKASDSPIDLFYGDFFGDISEAVIQKFLYL GDDRNIEEVYVGGKQVVPFSSSV |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MCAAQMPPLAHIFRGTFVHSTWTCPMEVLRDHLLGVSDSGKIVFLEEASQQEKLAKEWCFKPCEIRELSHHEFFMPNFEVGKEFDAILINPKASDSPIDLFYGDFFGDISEAVIQKFLYLGDDRNIEEVYVGGKQVVPFSSSV |
| Prediction | CCCCCCCCHHHSSCCCCCCCCCCHHHHHHHHHHHHHHCHHHSSSCCCCCCCCCCCHHHHHHHHHHHHHHCCCCCCCCCCCCCSCCSSSSSCCCCCCCHHHCCCCCCCCCHHHHHHHHHHHCCCCCSSSSSSCCSSSCCCCCCC |
| Confidence | 98876660353222765677877389999999999722222110256665442309999998887535114342465671743649998189999850103433346999999999943188654568998998971245689 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MCAAQMPPLAHIFRGTFVHSTWTCPMEVLRDHLLGVSDSGKIVFLEEASQQEKLAKEWCFKPCEIRELSHHEFFMPNFEVGKEFDAILINPKASDSPIDLFYGDFFGDISEAVIQKFLYLGDDRNIEEVYVGGKQVVPFSSSV |
| Prediction | 74344343324033101011333320240143013114213033356755344033321032122340242444145045513000000115266331422356346331431022001003232034211424403536678 |
| 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 | CCCCCCCCHHHSSCCCCCCCCCCHHHHHHHHHHHHHHCHHHSSSCCCCCCCCCCCHHHHHHHHHHHHHHCCCCCCCCCCCCCSCCSSSSSCCCCCCCHHHCCCCCCCCCHHHHHHHHHHHCCCCCSSSSSSCCSSSCCCCCCC MCAAQMPPLAHIFRGTFVHSTWTCPMEVLRDHLLGVSDSGKIVFLEEASQQEKLAKEWCFKPCEIRELSHHEFFMPNFEVGKEFDAILINPKASDSPIDLFYGDFFGDISEAVIQKFLYLGDDRNIEEVYVGGKQVVPFSSSV | |||||||||||||||||||
| 1 | 6oh9A | 0.11 | 0.08 | 3.01 | 0.83 | DEthreader | ------HGKFLVFFGTFVDTPKLGELRIREKTSVGVLN-GIIRFVNRSLDPKDCLDHDSLSPVTVVDINNSFYFPG--SLSGQMIDTNVDM------------Q-KNPP--LLTNEDI--IAKWFFNGDNTTK---------- | |||||||||||||
| 2 | 3e0lA1 | 0.99 | 0.92 | 25.85 | 1.32 | SPARKS-K | -------PLAHIFRGTFVHSTWTCPMEVLRDHLLGVSDSGKIVFLEEASQQEKLAKEWCFKPCEIRELSHHEFFMGNFEVGKEFDAILINPKASDSPIDLFYGDFFGDISEAVIQKFLYLGDDRNIEEVYVGGKQVVPFS--- | |||||||||||||
| 3 | 3e0lA | 0.88 | 0.80 | 22.43 | 0.95 | MapAlign | -------PLAHIFRGTFVHSTWTCPMEVLRDHLLGVSDSGKIVFLEEASQQEKLAKEWCFKPCEIRELSHHEFFMGNFEVGKEFDAILINPKA--SDSPILFYGDFFGDISAVIQKFLYLGDDRNIEEVYVGGKQVVP----- | |||||||||||||
| 4 | 3e0lA1 | 0.99 | 0.92 | 25.85 | 1.25 | CEthreader | -------PLAHIFRGTFVHSTWTCPMEVLRDHLLGVSDSGKIVFLEEASQQEKLAKEWCFKPCEIRELSHHEFFMGNFEVGKEFDAILINPKASDSPIDLFYGDFFGDISEAVIQKFLYLGDDRNIEEVYVGGKQVVPFS--- | |||||||||||||
| 5 | 3e0lA1 | 0.99 | 0.92 | 25.85 | 1.18 | MUSTER | -------PLAHIFRGTFVHSTWTCPMEVLRDHLLGVSDSGKIVFLEEASQQEKLAKEWCFKPCEIRELSHHEFFMGNFEVGKEFDAILINPKASDSPIDLFYGDFFGDISEAVIQKFLYLGDDRNIEEVYVGGKQVVPFS--- | |||||||||||||
| 6 | 6oh9A | 0.15 | 0.15 | 4.92 | 1.40 | HHsearch | ----DKHGKFLVFFGTFVDTPKLGELRIREKTSVGVL-NGIIRFVNRNSLDPVCLDHDLSPEDVTVVDINNSFYFPGFVDTHNHVSQYPNVGVF-GNSTLLDWLEKYFNENIAREKTLSYNTLLGQR-VLVGKVCMDTNEYYI | |||||||||||||
| 7 | 3e0lA1 | 0.89 | 0.83 | 23.21 | 0.94 | FFAS-3D | -------PLAHIFRGTFVHSTWTCPMEVLRDHLLGVSDSGKIVFLEEASQQEKLAKEWCFKTLGGSQALGLDGEIGNFEVGKEFDAILINPKASDSPIDLFYGDFFGDISEAVIQKFLYLGDDRNIEEVYVGGKQVVPFS--- | |||||||||||||
| 8 | 6oh9A2 | 0.21 | 0.19 | 6.01 | 0.75 | EigenThreader | ----DKHGKFLVFFGTFVDTPKLGELRIREKTSVGVLNG-IIRFVNRNSPVKDCLDHDSPEDVTVVDINNSFYFGSVSE--CLFLATIDTNAPGSNVDMFQLKNPPLLTNEDIIAKWFFNGDDRNTTKVWVAGQQVYI----- | |||||||||||||
| 9 | 3e0lA | 0.60 | 0.52 | 14.83 | 1.85 | CNFpred | -------PLAHIFRGTFVHSTWTCPMEVLRDHLLGVSDSGKIVFLEEASQQEKLAKEWCFKPCEIRELSHHEFFMPGLVDTHIHASQYSFAGSSID-LPLLEWLTK-DFAEEVYTRVVRRTLKNGTTTACYF----------- | |||||||||||||
| 10 | 3e0lA | 0.62 | 0.45 | 13.01 | 0.83 | DEthreader | -------PLAHIFRGTFVHSTWTCPMEVLRDHLLGVSDSGKIVFLEEASQQEKLAKEW-CFKPEIRELSHHEFFMPG--LKGILINPPIDL----------------YGDFFGDIEAVIQKFL--YLGDNIEE---------- | |||||||||||||
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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. |