>O43924 (150 residues) MSAKDERAREILRGFKLNWMNLRDAETGKILWQGTEDLSVPGVEHEARVPKKILKCKAVS RELNFSSTEQMEKFRLEQKVYFKGQCLEEWFFEFGFVIPNSTNTWQSLIEAAPESQMMPA SVLTGNVIIETKFFDDDLLVSTSRVRLFYV |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MSAKDERAREILRGFKLNWMNLRDAETGKILWQGTEDLSVPGVEHEARVPKKILKCKAVSRELNFSSTEQMEKFRLEQKVYFKGQCLEEWFFEFGFVIPNSTNTWQSLIEAAPESQMMPASVLTGNVIIETKFFDDDLLVSTSRVRLFYV |
Prediction | CCCCCHHHHHHHHCCSSSSSSSSSCCCCCSSSSSCCCCCCCCCCSSSSCCHHHHCCCCSSSSSSSSCCCCCCCCSSSSSSSSCCCSSSSSSCCCCSSCCCCCCCSSSSSSCCCCCCHHHHHHHCCCCSSSSSSSSCCSSSSSSSSSSSSC |
Confidence | 986541277753084788999986788938998469999877631565488995310101599998176222551367776378202467401531347987620478855988702478885199279878975998998645899979 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MSAKDERAREILRGFKLNWMNLRDAETGKILWQGTEDLSVPGVEHEARVPKKILKCKAVSRELNFSSTEQMEKFRLEQKVYFKGQCLEEWFFEFGFVIPNSTNTWQSLIEAAPESQMMPASVLTGNVIIETKFFDDDLLVSTSRVRLFYV |
Prediction | 865657405501440512303031364441202155346467344514124511504302330302055406604133412057421541415121012434431422142373655135512745131203123643011303042315 |
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 | CCCCCHHHHHHHHCCSSSSSSSSSCCCCCSSSSSCCCCCCCCCCSSSSCCHHHHCCCCSSSSSSSSCCCCCCCCSSSSSSSSCCCSSSSSSCCCCSSCCCCCCCSSSSSSCCCCCCHHHHHHHCCCCSSSSSSSSCCSSSSSSSSSSSSC MSAKDERAREILRGFKLNWMNLRDAETGKILWQGTEDLSVPGVEHEARVPKKILKCKAVSRELNFSSTEQMEKFRLEQKVYFKGQCLEEWFFEFGFVIPNSTNTWQSLIEAAPESQMMPASVLTGNVIIETKFFDDDLLVSTSRVRLFYV | |||||||||||||||||||
1 | 1kshB | 0.98 | 0.92 | 25.78 | 1.33 | DEthreader | SAK-DERAREILRGFKLNWMNLRDAETGKILWQGTEDLSVPGVEHEARVPKKILKCKAVSRELNFSSTEQMEKFRLEQKVYFKGQ-LEEWFFEFGFVIPNSTNTWQSLIE-------MPASVLTGNVIIETKFFDDDLLVSTSRVRLFYV | |||||||||||||
2 | 1kshB | 1.00 | 0.94 | 26.32 | 3.81 | SPARKS-K | -SAKDERAREILRGFKLNWMNLRDAETGKILWQGTEDLSVPGVEHEARVPKKILKCKAVSRELNFSSTEQMEKFRLEQKVYFKGQ-LEEWFFEFGFVIPNSTNTWQSLIE-------MPASVLTGNVIIETKFFDDDLLVSTSRVRLFYV | |||||||||||||
3 | 1kshB | 0.98 | 0.90 | 25.22 | 1.26 | MapAlign | ----DERAREILRGFKLNWMNLRDAETGKILWQGTEDLSVPGVEHEARVPKKILKCKAVSRELNFSSTEQMEKFRLEQKVYFK-GQLEEWFFEFGFVIPNSTNTWQSLI-E------MPASVLTGNVIIETKFFDDDLLVSTSRVRLFYV | |||||||||||||
4 | 1kshB | 1.00 | 0.94 | 26.32 | 1.36 | CEthreader | -SAKDERAREILRGFKLNWMNLRDAETGKILWQGTEDLSVPGVEHEARVPKKILKCKAVSRELNFSSTEQMEKFRLEQKVYFKGQ-LEEWFFEFGFVIPNSTNTWQSLIE-------MPASVLTGNVIIETKFFDDDLLVSTSRVRLFYV | |||||||||||||
5 | 1kshB | 0.97 | 0.91 | 25.60 | 3.12 | MUSTER | -SAKDERAREILRGFKLNWMNLRDAETGKILWQGTEDLSVPGVEHEARVPKKILKCKAVSRELNFSSTEQMEKFRLEQKVYFKG-QLEEWFFEFGFVIPNSTNTWQSLIEMPA-------SVLTGNVIIETKFFDDDLLVSTSRVRLFYV | |||||||||||||
6 | 1kshB | 1.00 | 0.94 | 26.32 | 7.46 | HHsearch | -SAKDERAREILRGFKLNWMNLRDAETGKILWQGTEDLSVPGVEHEARVPKKILKCKAVSRELNFSSTEQMEKFRLEQKVYFKGQ-LEEWFFEFGFVIPNSTNTWQSLIE-------MPASVLTGNVIIETKFFDDDLLVSTSRVRLFYV | |||||||||||||
7 | 1kshB | 1.00 | 0.94 | 26.32 | 2.78 | FFAS-3D | -SAKDERAREILRGFKLNWMNLRDAETGKILWQGTEDLSVPGVEHEARVPKKILKCKAVSRELNFSSTEQMEKFRLEQKVYFKGQ-LEEWFFEFGFVIPNSTNTWQSLIE-------MPASVLTGNVIIETKFFDDDLLVSTSRVRLFYV | |||||||||||||
8 | 3gqqD | 0.19 | 0.18 | 5.81 | 1.18 | EigenThreader | DYLCSPEE--NIYKIDFVRFKIRD-DSGTVLFEIKKPPVPGRFVR-YQFTPAFLRLRQVGATVEFTVGKPVNNFRIERHYFR-NQLLKSFDFHFGFCIPSSKNTCEHIYDFSEELISEIR--HPYETQSDSFYFVDDRLVHNKADYSYSG | |||||||||||||
9 | 5e80A | 0.99 | 0.99 | 27.63 | 4.04 | CNFpred | -SAKDERAREILRGFKLNWMNLRDAATGKILWQGTEDLSVPGVEHEARVPKKILKCKAVSRELNFSSTEQMEKFRLEQKVYFKGQCLEEWFFEFGFVIPNSTNTWQSLIEAAPESQMMPASVLTGNVIIETKFFDDDLLVSTSRVRLFYV | |||||||||||||
10 | 3gqqD | 0.23 | 0.21 | 6.48 | 1.33 | DEthreader | ----S-EENIY--KIDFVRFKIRD-DSGTVLFEIKKP----GRFVRYQFTPAFLRLRQVGATVEFTVGDPVNNFR-IERHYFRNQLLKSFDFHFGFCIPSSKNTCEHIYDFPPLSELISIRH-PYETQSDSFYFVDDRLV-HNKADYSYS | |||||||||||||
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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. |