| >A9QM74 (144 residues) MPTLDAPEERRRKFKYRGKDVSLRRQQRMAVSLELRKAKKDEQTLKRRNITSFCPDTPSE KTAKGVAVSLTLGEIIKGVNSSDPVLCFQATQTARKMLSQEKNPPLKLVIEAGLIPRMVE FLKSSLYPCLQFEAAWALTNIASG |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MPTLDAPEERRRKFKYRGKDVSLRRQQRMAVSLELRKAKKDEQTLKRRNITSFCPDTPSEKTAKGVAVSLTLGEIIKGVNSSDPVLCFQATQTARKMLSQEKNPPLKLVIEAGLIPRMVEFLKSSLYPCLQFEAAWALTNIASG |
| Prediction | CCCCCCHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHCCCCCCCHHHHHHHCCHHHHHHHHHCCCCHHHHHHHHHHHHHHCCC |
| Confidence | 998754389999862147897999999999999999985788998650456666676201022212355449999999717877999999999999861578975999999097579999981299868999999999974259 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MPTLDAPEERRRKFKYRGKDVSLRRQQRMAVSLELRKAKKDEQTLKRRNITSFCPDTPSEKTAKGVAVSLTLGEIIKGVNSSDPVLCFQATQTARKMLSQEKNPPLKLVIEAGLIPRMVEFLKSSLYPCLQFEAAWALTNIASG |
| Prediction | 655674565126414544544743354256313401464456414545414444544445443744434433430142144634541140143034115445422033016340132024106567344001100000112138 |
| 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 | CCCCCCHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHCCCCCCCHHHHHHHCCHHHHHHHHHCCCCHHHHHHHHHHHHHHCCC MPTLDAPEERRRKFKYRGKDVSLRRQQRMAVSLELRKAKKDEQTLKRRNITSFCPDTPSEKTAKGVAVSLTLGEIIKGVNSSDPVLCFQATQTARKMLSQEKNPPLKLVIEAGLIPRMVEFLKSSLYPCLQFEAAWALTNIASG | |||||||||||||||||||
| 1 | 4uaeA2 | 0.16 | 0.14 | 4.60 | 1.10 | SPARKS-K | -----GPQCRDYVISLGV--VKPLLSF-------IPITFLRNVTWVMVNLCRHKDPPPPM-----ETIQEILPALCVLIHHTDVNILVDTVWALSYLTDAGN-EQIQMVIDSGIVPHLVPLLSHQ-EVKVQTAALRAVGNIVTG | |||||||||||||
| 2 | 1wa5B | 0.25 | 0.22 | 6.89 | 1.28 | HHsearch | -------------FV-PEYRRTELRRRRDTQQVELRKAKRDEALAKRRNFQELPQMTNSDDMRDVVIQAGVVPRLVEFMRENPEMLQLEAAWALTNIAS-GTSAQTKVVVDADAVPLFIQLLYTG-SVEVKEQAIWALGNVAGD | |||||||||||||
| 3 | 2ynsA1 | 0.55 | 0.28 | 8.01 | 1.14 | FFAS-3D | -----------------------------------------------------------------------LPAMIGGVYSDDNNLQLEATTQFRKLLSIERSPPIEEVIQSGVVPRFVQFLTREDFPQLQFEAAWALTNIASG | |||||||||||||
| 4 | 5yz0A | 0.10 | 0.10 | 3.58 | 1.00 | DEthreader | PVKCQHKSKLLESVQKL--FEDHILSCRISDYQHEVRADVKEFASLKQHCSSNCLFRE-SQ-KKPICFLESLHSSQMTALNTPCQNADVRKQDVAHQREMALN--TLSEIANFDFPDLNRFLTTLQVLPDLAAKASPAASALIT | |||||||||||||
| 5 | 1xm9A1 | 0.10 | 0.08 | 3.06 | 1.08 | SPARKS-K | ---GLTIPKAVQYLSSQDE------KYQAIGAYYIQHTC-----------------FQDESAKQQVYQLGGICKLVDLLRSPNQNVQQAAAGALRNLVFRST-TNKLETRRQNGIREAVSLLRRTGNAEIQKQLTGLLWNLSST | |||||||||||||
| 6 | 7lcyA | 0.10 | 0.10 | 3.57 | 0.45 | MapAlign | ------KINEVIRRAWAVTHGHELGYSLCNGLDLLMKNCVPDLQFSSAQLLEQCLTTENRKHVVDNGLDKVVNVACVCTKNSNMEHSRVGTGILEHLFK-HSEGTCSDVIRLGGLDAVLFECRT-SDLETLRHCASALANLSLY | |||||||||||||
| 7 | 5xjgA | 0.18 | 0.17 | 5.67 | 0.28 | CEthreader | YVRQVSREVLEPILILLQSQDPQIQVAACAALGNLAVNNENKLLIVEMGGLEGDNVEVQCNAVGKIATSGALIPLTKLAKSKHIRVQRNATGALLNMT--HSEENRKELVNAGAVPVLVSLLSSTD-PDVQYYCTTALSNIAVD | |||||||||||||
| 8 | 1wa5B | 0.48 | 0.37 | 10.71 | 0.96 | MUSTER | ----FVPEYRRT----------ELRRRRDTQQVELRKAKRDEALAKRRNFQ-------------------ELPQMTQQLNSDDMQEQLSATVKFRQILSREHRPPIDVVIQAGVVPRLVEFMRENQPEMLQLEAAWALTNIASG | |||||||||||||
| 9 | 4rxhB1 | 0.53 | 0.27 | 7.82 | 1.03 | HHsearch | ----------------------------------------------------------------------DLPKMVEGVFSSEIDKQIQATTKFRKLLSKERNPPIEEVIKTGVVGRFVEFLRSP-HTLVQFEAAWALTNIASG | |||||||||||||
| 10 | 1ialA3 | 0.19 | 0.17 | 5.60 | 1.11 | FFAS-3D | -----GSAFRDLVIKHGAIDP-LLALLAVPDLSTLACGYLRNLTWTLSNLCRNKNPAPP-----LDAVEQILPTLVRLLHHNDPEVLADSCWAISY-LTDGPNERIEMVVKKGVVPQLVKLLGATE-LPIVTPALRAIGNIVTG | |||||||||||||
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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. |