| >Q9Y225 (148 residues) MSSDFPHYNFRMPNIGFQNLPLNIYIVVFGTAIFVFILSLLFCCYLIRLRHQAHKEFYAY KQVILKEKVKELNLHELCAVCLEDFKPRDELGICPCKHAFHRKCLIKWLEVRKVCPLCNM PVLQLAQLHSKQDRGPPQGPLPGAENIV |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSSDFPHYNFRMPNIGFQNLPLNIYIVVFGTAIFVFILSLLFCCYLIRLRHQAHKEFYAYKQVILKEKVKELNLHELCAVCLEDFKPRDELGICPCKHAFHRKCLIKWLEVRKVCPLCNMPVLQLAQLHSKQDRGPPQGPLPGAENIV |
| Prediction | CCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHCHHHHHHCCCSSSSCCCCCCCCCCSCCSSCCCCCCCCSSSSSCCCCCCHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC |
| Confidence | 9988876677788655556537999999999999999999999998742311266798658625310233578888350734005789489970998520058999999874919677886787777776656899999998755789 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSSDFPHYNFRMPNIGFQNLPLNIYIVVFGTAIFVFILSLLFCCYLIRLRHQAHKEFYAYKQVILKEKVKELNLHELCAVCLEDFKPRDELGICPCKHAFHRKCLIKWLEVRKVCPLCNMPVLQLAQLHSKQDRGPPQGPLPGAENIV |
| Prediction | 8645243323423332233133332333333332333233133121332443346425524523254636637653311031541566450240154433246202520664413212425036467555566554576444446548 |
| 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 | CCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHCHHHHHHCCCSSSSCCCCCCCCCCSCCSSCCCCCCCCSSSSSCCCCCCHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC MSSDFPHYNFRMPNIGFQNLPLNIYIVVFGTAIFVFILSLLFCCYLIRLRHQAHKEFYAYKQVILKEKVKELNLHELCAVCLEDFKPRDELGICPCKHAFHRKCLIKWLEVRKVCPLCNMPVLQLAQLHSKQDRGPPQGPLPGAENIV | |||||||||||||||||||
| 1 | 4epoG | 0.12 | 0.10 | 3.58 | 1.64 | SPARKS-K | --------------------QEHWALMEELNRSKKDFEAIIQAKNKELEQTKEEKEKMQAQKEEVLSHMNDVLENEQCIICSEYFIE---AVTLNCAHSFCSYCINEWMKRKIECPICRKDINCINKMVNNLSSEVKERRIVLIRERK | |||||||||||||
| 2 | 4epoG | 0.16 | 0.14 | 4.50 | 1.36 | MUSTER | -------------------QEHWALMEELNRSKKDFEAIIQAKNKELEQTKEEKEKMQAQKEEVLSHMNDVLENELQCIICSEYFIE---AVTLNCAHSFCSYCINEWMKRKIECPICRKDILVLDNCINKMVNNLSSEVKERRIVLI | |||||||||||||
| 3 | 5d1kB | 0.22 | 0.11 | 3.62 | 1.19 | HHsearch | -----------------------------------------------------------------------NIPHGQCVICLYGFQEKEAFTKTPCYHYFHCHCLARYIQHGVQCPVCREPLVYDLASLKAAPEPQQPMELYQPSAES | |||||||||||||
| 4 | 6vq6I | 0.08 | 0.06 | 2.39 | 1.00 | DEthreader | --NAEIDAEEFNIEKGRLVQTQRLKIMEYYEKKEKQIEQQKKIQMSNLMNQARLKVLRARDDLITDLLNEAKQRLSKVKDTT---------LLDGLV--RQDFPLVK-A-----A------VQKAIPMYKIATKKD------------ | |||||||||||||
| 5 | 1z6uA | 0.15 | 0.11 | 3.85 | 1.31 | SPARKS-K | ----------------------------------EAFQLTPQQQHLIREDCQNQKLWDEVLSHLVEGPNFLKKLEQMCVCCQELVYQ---PVTTECFHNVCKDCLQRSFKAQVSCPACRHDLGQNYIMIPNEILQTLLDLFFPGYSKG | |||||||||||||
| 6 | 6l8nA | 0.20 | 0.18 | 5.61 | 0.76 | MapAlign | ----------------LSSSEKRVYQSMLEDAENSVKEGLLLKNYTNILVHILRLRQVDKLDALSANFRDIQLPSFECAICTTCIEPLSAVSITECLHTFCEPCLAEYIEFSINCPYCRMPISEANVLKLKEPIDAERGYELISF--- | |||||||||||||
| 7 | 4epoG | 0.17 | 0.14 | 4.68 | 0.62 | CEthreader | -------------------QEHWALMEELNRSKKDFEAIIQAKNKELEQTKEEKEKMQAQKEEVLSHMNDVLENELQCIICSEYF---IEAVTLNCAHSFCSYCINEWMKRKIECPICRKDILVLDNCINKMVNNLSSEVKERRIVLI | |||||||||||||
| 8 | 2l0bA | 0.19 | 0.11 | 3.72 | 1.34 | MUSTER | ---MGHHHHHHSHMVANPPA--------------------------------SKESIDALPEILVTEDHGAVGQEMCCPICCSEYVKGDVATELPCHHYFHKPCVSIWLQKSGTCPVCRCMFPPPL---------------------- | |||||||||||||
| 9 | 4qplA | 0.20 | 0.10 | 3.24 | 1.19 | HHsearch | -----------------------------------------------------------------------SLTVPECAICLQTCVHP---VSLPCKHVFCYLCVKGASWLGKRCALCRQEIPEDFLDKPTLLSPEELSRGNGEYAWY | |||||||||||||
| 10 | 4epoG | 0.16 | 0.13 | 4.28 | 0.87 | FFAS-3D | ------------------------LMEELNRSKKDFEAIIQAKNKELEQTKEEKEKMQAQKEEVLSHMNDVLENELQCIICSEYFIE---AVTLNCAHSFCSYCINEWMKRKIECPICRKDIKMVNNLSSEVKERRIVLIRERKAKRL | |||||||||||||
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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. |