>Q9UBT7 (145 residues) DLLKYHADHVVLKALKLTGVEGNLEALAEYACKLSEQKEQLVETCRLLRHISGTEPLEIT CIHAEETFQVTGQQIISAAETLTLHPSSKIAKENLDVFCEAWESQISDMSTLLREINDVF EGRRGEKYGYLSLPKPMKNNANLKS |
Sequence |
20 40 60 80 100 120 140 | | | | | | | DLLKYHADHVVLKALKLTGVEGNLEALAEYACKLSEQKEQLVETCRLLRHISGTEPLEITCIHAEETFQVTGQQIISAAETLTLHPSSKIAKENLDVFCEAWESQISDMSTLLREINDVFEGRRGEKYGYLSLPKPMKNNANLKS |
Prediction | CCCCCCCCCHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCSSSCCCCCCCCCCCCCC |
Confidence | 9644489853799999998718799999999999999999999999999974885899999999999999718999999999978887899999999999999999999999999999980677554112106999888776679 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | DLLKYHADHVVLKALKLTGVEGNLEALAEYACKLSEQKEQLVETCRLLRHISGTEPLEITCIHAEETFQVTGQQIISAAETLTLHPSSKIAKENLDVFCEAWESQISDMSTLLREINDVFEGRRGEKYGYLSLPKPMKNNANLKS |
Prediction | 8325357342003102410464336305620540462054025004303421545622430430153055134402300320143373420450152026203520440151054024215454564432131243355555468 |
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 | CCCCCCCCCHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCSSSCCCCCCCCCCCCCC DLLKYHADHVVLKALKLTGVEGNLEALAEYACKLSEQKEQLVETCRLLRHISGTEPLEITCIHAEETFQVTGQQIISAAETLTLHPSSKIAKENLDVFCEAWESQISDMSTLLREINDVFEGRRGEKYGYLSLPKPMKNNANLKS | |||||||||||||||||||
1 | 1h6gA | 0.26 | 0.24 | 7.46 | 1.33 | DEthreader | DHVSDLETNVPLLVLIEAAKNGNEKEVKEYAQVFREHANKLIEVANLACSISNNEEGVKLVR-SASQLEALCPQVINAALALAAKPQSKLAQEN-DLFKEQWEKQVRVLTDAVDDITSID-VEYTEVATLSNVFTQVE-VE---- | |||||||||||||
2 | 5h5mA3 | 0.23 | 0.18 | 5.61 | 1.46 | SPARKS-K | ------DTRTPLILLIEAAKEGHEENTRYRSKMFQEHANEIVSVARLSCQLSSDVESVSVIQHTAAQLEKLAPQVAQAAILLCHQPTSKTAQENMETYKNAWFDKVRLLTTALDNIT---------------------------- | |||||||||||||
3 | 4iggA | 0.24 | 0.24 | 7.52 | 0.82 | MapAlign | HVSDSFETNVPLLVLIEAAKNGNEKEVKEYAQVFREHANKLIEVANLACSISNNEEGVKLVRMSASQLEALCPQVINAALALAAKPQSKLAQENMDLFKEQWEKQVRVLTDAVDDITSIDDFLAVSENHILEDVNKCVIALQEKD | |||||||||||||
4 | 2kbbA | 0.13 | 0.11 | 3.81 | 0.56 | CEthreader | QMLTAVQISHLIEPLASAAR-AEASQLGHKVSQMAQYFEPLTLAAVGAASKTLSHPQQMALLDQTKTLAESALQLLYTAKEAGGNPQAAHTQEALEEAVQMMTEAVEDLTTTLNEAASAAG------------------------ | |||||||||||||
5 | 4iggA2 | 0.30 | 0.23 | 7.12 | 1.13 | MUSTER | DSFL--ETNVPLLVLIEAAKNGNEKEVKEYAQVFREHANKLIEVANLACSISNNEEGVKLVRMSASQLEALCPQVINAALALAAKPQSKLAQENMDLFKEQWEKQVRVLTDAVDDIT---------------------------- | |||||||||||||
6 | 5h5mA3 | 0.25 | 0.19 | 5.79 | 3.00 | HHsearch | -------DRTPLILLIEAAKEGHEENTRYRSKMFQEHANEIVSVARLSCQLSSDVESVSVIQHTAAQLEKLAPQVAQAAILLCHQPTSKTAQENMETYKNAWFDKVRLLTTALDNIT---------------------------- | |||||||||||||
7 | 5h5mA3 | 0.24 | 0.18 | 5.59 | 2.10 | FFAS-3D | --------RTPLILLIEAAKEGHEENTRYRSKMFQEHANEIVSVARLSCQLSSDVESVSVIQHTAAQLEKLAPQVAQAAILLCHQPTSKTAQENMETYKNAWFDKVRLLTTALDNI----------------------------- | |||||||||||||
8 | 4iggA | 0.24 | 0.24 | 7.52 | 0.97 | EigenThreader | VSDSFLETNVPLLVLIEAAKNGNEKEVKEYAQVFREHANKLIEVANLACSISNNEEGVKLVRMSASQLEALCPQVINAALALAAKPQSKLAQENMDLFKEQWEKQVRVLTDAVDDITSIDDFLAVSENHILEDVNKCVIALQEKD | |||||||||||||
9 | 4iggA | 0.27 | 0.23 | 6.99 | 1.04 | CNFpred | HVSDSFLTNVPLLVLIEAAKNGNEKEVKEYAQVFREHANKLIEVANLACSISNNEEGVKLVRMSASQLEALCPQVINAALALAAKPQSKLAQENMDLFKEQWEKQVRVLTDAVDDITSIDDFL---------------------- | |||||||||||||
10 | 5ic0A | 0.12 | 0.12 | 4.10 | 1.33 | DEthreader | DVMENSKLGEAMTGISQNAKNGNLPEFGDAIATASKALCGFTEAAAQAAYLVGGRAAMEPIVISAKTMLESAGGLIQTARALAVNPRDPPRWSVLAGHSRTVSDSIKKLITSMRDKA--PGQL--ECEAIAANSR--Q---ASQQ | |||||||||||||
|
|
Top 10 structural analogs in PDB (as identified by
TM-align)
|
|
Top 5 enzyme homologs in PDB
|
Template proteins with similar binding site:
|
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. |