| >A8MVW5 (144 residues) MGQDAFMEPFGDTLGVFQCKIYLLLFGACSGLKVTVPSHTVHGVRGQALYLPVHYGFHTP ASDIQIIWLFERPHTMPKYLLGSVNKSVVPDLEYQHKFTMMPPNASLLINPLQFPDEGNY IVKVNIQGNGTLSASQKIQVTVDD |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MGQDAFMEPFGDTLGVFQCKIYLLLFGACSGLKVTVPSHTVHGVRGQALYLPVHYGFHTPASDIQIIWLFERPHTMPKYLLGSVNKSVVPDLEYQHKFTMMPPNASLLINPLQFPDEGNYIVKVNIQGNGTLSASQKIQVTVDD |
| Prediction | CCCCHHHHHCCCCHHHHHHHHHHHHHHHCCCSSSSCCCCSSSSSSCCCSSSSSSSSCCCCCCCSSSSSSSSCCCCCCSSSSSSCCCSSSCCCCCCCSSSSSCCCSSSSSCCCCCCCCSSSSSSSSSCCCCCCCCSSSSSSSSCC |
| Confidence | 972023321133115899999999874203489980785699982871899999831688864469999944999747999953976975855134599816983999816865667069999990478864315899999459 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MGQDAFMEPFGDTLGVFQCKIYLLLFGACSGLKVTVPSHTVHGVRGQALYLPVHYGFHTPASDIQIIWLFERPHTMPKYLLGSVNKSVVPDLEYQHKFTMMPPNASLLINPLQFPDEGNYIVKVNIQGNGTLSASQKIQVTVDD |
| Prediction | 745522343354431122130110111324424042345304034446030203132447735140302043574433110233444214444144304233540203044044526140304041464554545440403168 |
| 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 | CCCCHHHHHCCCCHHHHHHHHHHHHHHHCCCSSSSCCCCSSSSSSCCCSSSSSSSSCCCCCCCSSSSSSSSCCCCCCSSSSSSCCCSSSCCCCCCCSSSSSCCCSSSSSCCCCCCCCSSSSSSSSSCCCCCCCCSSSSSSSSCC MGQDAFMEPFGDTLGVFQCKIYLLLFGACSGLKVTVPSHTVHGVRGQALYLPVHYGFHTPASDIQIIWLFERPHTMPKYLLGSVNKSVVPDLEYQHKFTMMPPNASLLINPLQFPDEGNYIVKVNIQGNGTLSASQKIQVTVDD | |||||||||||||||||||
| 1 | 5yd5A | 0.13 | 0.12 | 4.10 | 1.17 | DEthreader | ---LQQSGAEMWVK-IGSNYEKGS-GGGGSDIVMTQAAPSVSVTPGESVSISCRSSK-SLLHNTYLFWFLQRPGQSP-QLLIYRMS-NLASGVP-DRFSGSGSAFTLRISRVEAEDVGVYYCMQHL---EYPYTFGGTKLELKV | |||||||||||||
| 2 | 3bikC | 0.11 | 0.08 | 3.03 | 1.03 | SPARKS-K | ----------------------------GPWRSLTFYPAWLTVSEGANATFTCSLSNWSE--DLMLNWNRLSPSNQTEKQAAFSNGL--SQPVQDARFQIIQHDFHMNILDTRRNDSGIYLCGAISLHPKAKIEESGAELVVTE | |||||||||||||
| 3 | 2fboJ | 0.16 | 0.12 | 4.17 | 0.53 | MapAlign | -----------------------------SIMTVRTTHTEVEVHAGGTVELPCSYQLANDTQPPVISWLKGAS-PDRSTKVFKGNSYKESFGDFLGRASVALAAPTLRLTHVHPQDGGRYWCQVAQWSIRTGLDAKSVVLKVTH | |||||||||||||
| 4 | 2fboJ | 0.14 | 0.11 | 3.80 | 0.39 | CEthreader | -----------------------------SIMTVRTTHTEVEVHAGGTVELPCSYQLANDTQPPVISWLKGASPDRSTKVFKGNYSYKESFGDFLGRASVALAAPTLRLTHVHPQDGGRYWCQVAQWSTEFGLDAKSVVLKVTG | |||||||||||||
| 5 | 5yd5A2 | 0.16 | 0.12 | 4.18 | 1.02 | MUSTER | -------------------------GGGGSDIVMTQAAPSVSVTPGESVSISCRSSKSHRNGNTYLFWFLQRPGQSPQLLIYR-MSNLASGVPDRFSGSGSGTAFTLRISRVEAEDVGVYYCMQHLEYPYTFGSGTKLELKV-- | |||||||||||||
| 6 | 2ch8A1 | 0.15 | 0.10 | 3.50 | 0.36 | HHsearch | ----------------------------------------VTAFLGERVTLTSYWRRVSLGPEIEVSWFKLGPGEEQV-LIGRMHHDVFIEWPFRGFFDIHANTFFLVVTAANISHDGNYLCRMKLGE-T--EVTKQEHLSVV- | |||||||||||||
| 7 | 6oilA | 0.14 | 0.11 | 3.78 | 1.48 | FFAS-3D | -------------------------------FKVATPYSLYVCPEGQNVTLTCRLLGPVHDVTFYKTWYRSSRGEVQTHLHHGGHQAAQTSHDLAQRHGLHHGNFSITMRNLTLLDSGLYCCLVVEIRHHHSEHRVHMELQVQT | |||||||||||||
| 8 | 2r15A | 0.18 | 0.15 | 4.97 | 0.35 | EigenThreader | GKTDLSGQAYDEAYAEFQRLKQAAIAEKNRARVLGGLPDVVTIQEGKALNLTCNVWGDP---PPEVSWLKN-----EKALAQ------TDH------CNLKGRTAYFTINGVSTADSGKYGLVVKNK---YGSETSDFTVSVFI | |||||||||||||
| 9 | 3cspA | 0.19 | 0.14 | 4.48 | 1.45 | CNFpred | -------------------------------FRVIGPGHPIRALVGDEAELPCRISPGKNATGMEVGWYRSP----FSRVVHLYRNGKDQDPEYRGRTELL-GKVALRIQNVRFSDEGGYTCFFRDA---EYQEEAAVELKVED | |||||||||||||
| 10 | 2gjjA | 0.11 | 0.10 | 3.72 | 1.17 | DEthreader | ---LTQTPSLMWQ-LLIFTRK-SGVP----EVQLQQSG-PEVVKTGASVKISCKASGYS-FTGYFINWVKKNSGKSP-EWIGHISATSTYNQKFKNKAAFTVDTAFMQLNSLTSEDSADYYCVRSGNYEEYDYWGQGTSVTVS- | |||||||||||||
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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. |