>Q96FN4 (152 residues) MAHIPSGGAPAAGAAPMGPQYCVCKVELSVSGQNLLDRDVTSKSDPFCVLFTENNGRWIE YDRTETAINNLNPAFSKKFVLDYHFEEVQKLKFALFDQDKSSMRLDEHDFLGQFSCSLGT IVSSKKITRPLLLLNDKPAGKGLITIAAQELS |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MAHIPSGGAPAAGAAPMGPQYCVCKVELSVSGQNLLDRDVTSKSDPFCVLFTENNGRWIEYDRTETAINNLNPAFSKKFVLDYHFEEVQKLKFALFDQDKSSMRLDEHDFLGQFSCSLGTIVSSKKITRPLLLLNDKPAGKGLITIAAQELS |
Prediction | CCCCCCCCCCCCCCCCCCCCCCSSSSSSSSSSCCCCCCCCCCCCCCSSSSSSCCCCCSSSSSCCSSSCCCCCCCCCSSSSSSSCCCCCCSSSSSSSSSSCCCCCCCCCCSSSSSSSSHHHCCCCCCSSSSSSSCCCCCCCCSSSSSSSSSCC |
Confidence | 98777888876676777777635999999995499766899999977999991899536861231773899983554899997178874699999996399887877741488999877725787369995616999863189999999859 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MAHIPSGGAPAAGAAPMGPQYCVCKVELSVSGQNLLDRDVTSKSDPFCVLFTENNGRWIEYDRTETAINNLNPAFSKKFVLDYHFEEVQKLKFALFDQDKSSMRLDEHDFLGQFSCSLGTIVSSKKITRPLLLLNDKPAGKGLITIAAQELS |
Prediction | 76434664455446444536333030202020560473244121001010103566544424305324421306154504040436635603430102136455254411023040305504766614240414586644303020303548 |
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 | CCCCCCCCCCCCCCCCCCCCCCSSSSSSSSSSCCCCCCCCCCCCCCSSSSSSCCCCCSSSSSCCSSSCCCCCCCCCSSSSSSSCCCCCCSSSSSSSSSSCCCCCCCCCCSSSSSSSSHHHCCCCCCSSSSSSSCCCCCCCCSSSSSSSSSCC MAHIPSGGAPAAGAAPMGPQYCVCKVELSVSGQNLLDRDVTSKSDPFCVLFTENNGRWIEYDRTETAINNLNPAFSKKFVLDYHFEEVQKLKFALFDQDKSSMRLDEHDFLGQFSCSLGTIVSSKKITRPLLLLNDKPAGKGLITIAAQELS | |||||||||||||||||||
1 | 1djiB | 0.21 | 0.19 | 6.06 | 1.17 | DEthreader | DMDQPVTS-----AF-TQGPWRPERLRVRISGQQLPKVKN-SIVDPKVIVEIHGVGRDTGSRQTAVITNNGNPRWDMEFEFEVTVPDLALVRFMVEDYDS--S-SK-NDFIGQSTIPWNSL--KQGYRVHLLSKNDQHPSATLFVKISIQD- | |||||||||||||
2 | 1djiB4 | 0.20 | 0.18 | 5.67 | 1.45 | SPARKS-K | --------------TQGPWWRPERLRVRIISGQQLPKVNKNSIVDPKVIVEIHGVGRDTGSRQTAVITNNFNPRWDMEFEFEVTVPDLALVRFMVEDYDSSS----KNDFIGQSTIPWNSL-KQGYRHVHLLSKNGDQHPSATLFVKISIQD | |||||||||||||
3 | 1djiB | 0.24 | 0.19 | 5.96 | 0.71 | MapAlign | --------------------WRPERLRVRISGQQLPKVNKNSIVDPKVIVEIHGVGRDTGSRQTAVITNNGNPRWDMEFEFEVTVPDLALVRFMVEDYD----SSSKNDFIGQSTIPWNSL---KQGYRHVHLLNGDQHATLFVKISIQD-- | |||||||||||||
4 | 2nq3A | 0.14 | 0.11 | 3.82 | 0.52 | CEthreader | ------------------SLTMKSQLQITVISAKLKE-NKWFGPSPYVEVTVDG-----QSKKTEKCNNTNSPKWKQPLTVIVTPV--SKLHFRVWSHQTLK----SDVLLGTAALDIYETLKLEEVVVTLQLGPTETIGDLSICLDGLQLE | |||||||||||||
5 | 2ep6A | 0.28 | 0.24 | 7.43 | 1.46 | MUSTER | -----------GSSGSSGDVKDVGILQVKVLK-DLLAADFSGKSDPFCLLELGND-----RLQTHTVYKNLNPEWNKVFTFPIKDIH-DVLEVTVFDEDGD----KPPDFLGKVAIPLLSIRDGQPNCYVLKNKDLEQAFKGVIYLEMDLIY | |||||||||||||
6 | 4npjA | 0.21 | 0.19 | 6.07 | 1.42 | HHsearch | RITVPLVSEVQ--IAQLRFPVPKGVLRIFIEAQDLQGKDTYGKSDPYGIIRVGNQ-----IFQSRVIKENLSPKWNEVYEALVYEHPGQELEIELFDEDP-DK----DDFLGSLMIDLIEVEKERLLDEWFTLDEV-PKGKLHLRLEWLTLM | |||||||||||||
7 | 6kxkA1 | 0.40 | 0.33 | 9.70 | 1.94 | FFAS-3D | -------------------------IELSFSASNLRDRDVLSKSDPMVVVYQKEDATLSEVFRSEVVLNSLAPKWIKKFIVAYHFETVQTLVFRVYDVDTEMLKLDEQQFLGEATCALSEIITKSTRTSTLELKRKDGPHHGKLIIHAE--- | |||||||||||||
8 | 4npjA2 | 0.21 | 0.19 | 6.06 | 0.92 | EigenThreader | NRITVPLVSEVQIAQLRFPVPKGVLRIHFIEAQDLQGKDVKGKSDPYGIIRVG-----NQIFQSRVIKENLSPKWNEVYEALVYEHPGQELEIELFDED-----PDKDDFLGSLMIDLIEVEKERLLDEWFTLDE-VPKGKLHLRLEWL--- | |||||||||||||
9 | 4npjA | 0.23 | 0.18 | 5.57 | 1.91 | CNFpred | -----------------------VLRIHFIEAQDLQGKDVKGKSDPYGIIRVG-----NQIFQSRVIKENLSPKWNEVYEALVYEHPGQELEIELFDEDPD-----KDDFLGSLMIDLIEVEKERLLDEWFTLDE-VPKGKLHLRLEWLTLM | |||||||||||||
10 | 6pbcA | 0.17 | 0.15 | 4.99 | 1.17 | DEthreader | CTMNNPA-------STDLRGLEPCVICIEVGARHLPKNGR-GIVCPFVEIEVAGAEYDSTKQKTEFVVDNGNPVWAKPFHFQISNPEFAFLRFVVYEEDM-FS-D--QNFLAQATFPVKGL--KTGRAVPLKNNYEDLELASLLIIDIFPAK | |||||||||||||
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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. |