>P36888 (152 residues) SISKFCNHKHQPGEYIFHAENDDAQFTKMFTLNIRRKPQCLLFIVVLTLLICHKYAVKML KEKADSSEREALMSELKMMTQLGSHENIVNLLGACTLSGPIYLIFEYCCYGDLLNYLRSK REKFHRTWTEIFKEHNFSFYPTFQSHPNSSMP |
Sequence |
20 40 60 80 100 120 140 | | | | | | | SISKFCNHKHQPGEYIFHAENDDAQFTKMFTLNIRRKPQCLLFIVVLTLLICHKYAVKMLKEKADSSEREALMSELKMMTQLGSHENIVNLLGACTLSGPIYLIFEYCCYGDLLNYLRSKREKFHRTWTEIFKEHNFSFYPTFQSHPNSSMP |
Prediction | CCCCCCCCCCCHHHSSSSSSSCCCCCCSSSSSSSSCCCCCCCCCCCCCCCCCCSSSSSSCCCCCCHHHHHHHHHHHHHHHHHCCCCCSSSSSSSSSCCCCSSSSSSCCCCCCHHHHHHHHCCCCCCCHHHHHHHHHHHHCHHHCCCCCCCCC |
Confidence | 98655566436355698558634578079999997578865432234566664379995389999999999999999999758898664699999659930999975899987999998041212110145678888642022037899998 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | SISKFCNHKHQPGEYIFHAENDDAQFTKMFTLNIRRKPQCLLFIVVLTLLICHKYAVKMLKEKADSSEREALMSELKMMTQLGSHENIVNLLGACTLSGPIYLIFEYCCYGDLLNYLRSKREKFHRTWTEIFKEHNFSFYPTFQSHPNSSMP |
Prediction | 74552472614375040454046324130120204445644444434544543400000037614572154025005004514715100100000057411000000054120451046337614554454345442522442354476648 |
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 | | | | | | | | |||||||||||||
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SS Seq | CCCCCCCCCCCHHHSSSSSSSCCCCCCSSSSSSSSCCCCCCCCCCCCCCCCCCSSSSSSCCCCCCHHHHHHHHHHHHHHHHHCCCCCSSSSSSSSSCCCCSSSSSSCCCCCCHHHHHHHHCCCCCCCHHHHHHHHHHHHCHHHCCCCCCCCC SISKFCNHKHQPGEYIFHAENDDAQFTKMFTLNIRRKPQCLLFIVVLTLLICHKYAVKMLKEKADSSEREALMSELKMMTQLGSHENIVNLLGACTLSGPIYLIFEYCCYGDLLNYLRSKREKFHRTWTEIFKEHNFSFYPTFQSHPNSSMP | |||||||||||||||||||
1 | 3zosA | 0.20 | 0.19 | 6.09 | 1.17 | DEthreader | ----RVDF--PRSRLRFKEKLGEGQFGEVHLCEVDSPQDLVSLDFPLNVRKPLLVAVKILRPDATKNARNDFLKEVKIMSRL-KDPNIIRLLGVCVQDDPLCMITDYMENGDLNQFLSHI-YLL-HVAAQIAGMLAVHDLATRNGMNLYGDQ | |||||||||||||
2 | 4oliA1 | 0.17 | 0.14 | 4.77 | 1.65 | SPARKS-K | ----LSFHRVDQKEITQLSHLGQGTRTNVYEGRLRVE---------------LRVVLKVLD-PSHHDIALAFYETASLMSQV-SHTHLAFVHGVCVRGPENIMVTEYVEHGPLDVWLRRERGHVPMAWKMVVAQQLASALSYLENKNLVHGN | |||||||||||||
3 | 1irkA | 0.20 | 0.18 | 5.68 | 0.42 | MapAlign | -------WEVSREKITLLRELGQGSFGMVYEGNARD---------IIKGEAETRVAVKTVNESASLRERIEFLNEASVMK-GFTCHHVVRLLGVVSKGQPTLVVMELMAHGDLKSYLRSLGRPPPTLQEMIQMAAEIADGMAYLNAKKFVH- | |||||||||||||
4 | 3zzwA | 0.24 | 0.21 | 6.57 | 0.25 | CEthreader | -------KEISLSAVRFMEELGEDRFGKVYKGHLFGPAP---------GEQTQAVAIKTLKDKAEGPLREEFRHEAMLRARL-QHPNVVCLLGVVTKDQPLSMIFSYCSHGDLHEFLVMRSALEPP-DFVHLVAQIAAGMEYLSSHHVVHKD | |||||||||||||
5 | 5k5xA | 0.38 | 0.35 | 10.32 | 1.27 | MUSTER | QLPYDSRWEFPRDGLVLGRVLGSGAFGKVVEGTAYG---------LSRSQPVMKVAVKMLKPTARSSEKQALMSELKIMTHLGPHLNIVNLLGACTKSGPIYIITEYCFYGDLVNYLHKNRDSFLSH-----SMLDSEVKNLLSDDNSEGLT | |||||||||||||
6 | 4oliA | 0.17 | 0.14 | 4.75 | 0.70 | HHsearch | SFHRV-----DQKEITQLSHLGQGTRTNVYEGRLRVEL---------------RVVLKVLDPS-HHDIALAFYETASLMSQV-SHTHLAFVHGVCVRGPENIMVTEYVEHGPLDVWLRRER--GHVPMAWKMVQQLASALSYLENKNLVHGN | |||||||||||||
7 | 3g0eA1 | 0.36 | 0.32 | 9.39 | 1.80 | FFAS-3D | --------EFPRNRLSFGKTLGAGAFGKVVEATAYGLIKS---------DAAMTVAVKMLKPSAHLTEREALMSELKVLSYLGNHMNIVNLLGACTIGGPTLVITEYCCYGDLLNFLRREDDELALDLEDLLSFSYQVAKGMAFLASKN--- | |||||||||||||
8 | 6y23A | 0.19 | 0.17 | 5.54 | 0.57 | EigenThreader | GADGPPRVDFPRSRLKEKLGEG---QFGEVHLCEVDSPQDRK-------GHPLLVAVKILRPDATKNARNDFLKEVKIMSRL-KDPNIIRLLGVCVQDDPLCMITDYMENGDLNQFLSA-HDGPYPMLLHVAAQIASGMRYLATLNFVHRDL | |||||||||||||
9 | 1koaA | 0.18 | 0.14 | 4.72 | 1.71 | CNFpred | -------------HYDIHEELGTGAFGVVHRVTERA--------------TGNNFAAKFVMTP-HESDKETVRKEIQTMSVL-RHPTLVNLHDAFEDDNEMVMIYEFMSGGELFEKVADEHNKMSEDEAVEYMRQVCKGLCHMHENNYVHLD | |||||||||||||
10 | 1lufA | 0.24 | 0.22 | 6.77 | 1.17 | DEthreader | --KLLLEY--PRNNIEYVRDIGEGAFGRVFQARAPG---------LLPYEPFTMVAVKMLKEEASADMQADFQREAALMAEF-DNPNIVKLLGVCAVGKPMCLLFEYMAYGDLNEFLRMLSCAEQLCARQVAAMLSVHDLATRNSRYSADLQ | |||||||||||||
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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, Chengxin Zhang, Yang Li, Robin Pearce, Eric W. Bell, Yang Zhang. Folding non-homology proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. In preparation, 2020. |