| >Q9Y243 (141 residues) MSDVTIVKEGWVQKRGEYIKNWRPRYFLLKTDGSFIGYKEKPQDVDLPYPLNNFSVAKCQ LMKTERPKPNTFIIRCLQWTTVIERTFHVDTPEEREEWTEAIQAVADRLQRQEEERMNCS PTSQIDNIGEEEMDASTTHHK |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSDVTIVKEGWVQKRGEYIKNWRPRYFLLKTDGSFIGYKEKPQDVDLPYPLNNFSVAKCQLMKTERPKPNTFIIRCLQWTTVIERTFHVDTPEEREEWTEAIQAVADRLQRQEEERMNCSPTSQIDNIGEEEMDASTTHHK |
| Prediction | CCCCCSSSSSSSSSSCCCCCCCSSSSSSSSCCCCSSSSSCCCCCCCCCSSCCCSSSSSSSSSCCCCCCCCSSSSSSCCCCCCSSSSSSCCCHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCHHHCCCCCCCCC |
| Confidence | 998865899999985378888241799994697299998168876564010446756789841577898569999268766157999929999999999999999999885301013467887777765123123456899 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSDVTIVKEGWVQKRGEYIKNWRPRYFLLKTDGSFIGYKEKPQDVDLPYPLNNFSVAKCQLMKTERPKPNTFIIRCLQWTTVIERTFHVDTPEEREEWTEAIQAVADRLQRQEEERMNCSPTSQIDNIGEEEMDASTTHHK |
| Prediction | 866440212110313254345132000002443210002245765445432330304404234476735200203237434433220234256116563611440164157576544655445545645575364464478 |
| 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 | CCCCCSSSSSSSSSSCCCCCCCSSSSSSSSCCCCSSSSSCCCCCCCCCSSCCCSSSSSSSSSCCCCCCCCSSSSSSCCCCCCSSSSSSCCCHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCHHHCCCCCCCCC MSDVTIVKEGWVQKRGEYIKNWRPRYFLLKTDGSFIGYKEKPQDVDLPYPLNNFSVAKCQLMKTERPKPNTFIIRCLQWTTVIERTFHVDTPEEREEWTEAIQAVADRLQRQEEERMNCSPTSQIDNIGEEEMDASTTHHK | |||||||||||||||||||
| 1 | 7ctpA | 0.17 | 0.16 | 5.35 | 1.33 | DEthreader | -LDERIVFSGNLFQHQEDSKKWRNRFSLVPHNYGLVLYE-NKAAERQVPPRAVINSAGYKILTSVDCTQFPLILWHP---YARHYYFCMMTEAEQDKWQAVLQDCIRHCNN-GIPEDSKEGQQPMQAVIRTDMDQITS-H- | |||||||||||||
| 2 | 1unqA | 0.84 | 0.69 | 19.39 | 2.28 | SPARKS-K | MSDVAIVKEGWLHKRGEYIKTWRPRYFLLKNDGTFIGYKERPQDVDREAPLNNFSVAQCQLMKTERPRPNTFIIRCLQWTTVIERTFHVETPEEREEWTTAIQTVADGLKKQEEE-------------------------- | |||||||||||||
| 3 | 1unqA | 0.83 | 0.65 | 18.20 | 0.58 | MapAlign | --DVAIVKEGWLHKRGEYIKTWRPRYFLLKNDGTFIGYKERPQDVDQRAPLNNFSVAQCQLMKTERPRPNTFIIRCLQWTTVIERTFHVETPEEREEWTTAIQTVADGLKK------------------------------ | |||||||||||||
| 4 | 1unqA | 0.84 | 0.69 | 19.39 | 0.48 | CEthreader | MSDVAIVKEGWLHKRGEYIKTWRPRYFLLKNDGTFIGYKERPQDVDQRAPLNNFSVAQCQLMKTERPRPNTFIIRCLQWTTVIERTFHVETPEEREEWTTAIQTVADGLKKQEEE-------------------------- | |||||||||||||
| 5 | 1unqA | 0.83 | 0.68 | 19.20 | 1.93 | MUSTER | MSDVAIVKEGWLHKRGEYIKTWRPRYFLLKNDGTFIGYKERPQDVQREAPLNNFSVAQCQLMKTERPRPNTFIIRCLQWTTVIERTFHVETPEEREEWTTAIQTVADGLKKQEEE-------------------------- | |||||||||||||
| 6 | 1unqA | 0.83 | 0.68 | 19.20 | 1.34 | HHsearch | MSDVAIVKEGWLHKRGEYIKTWRPRYFLLKNDGTFIGYKERPQDVQREAPLNNFSVAQCQLMKTERPRPNTFIIRCLQWTTVIERTFHVETPEEREEWTTAIQTVADGLKKQEEE-------------------------- | |||||||||||||
| 7 | 1unqA | 0.84 | 0.69 | 19.39 | 1.90 | FFAS-3D | MSDVAIVKEGWLHKRGEYIKTWRPRYFLLKNDGTFIGYKERPQDVDREAPLNNFSVAQCQLMKTERPRPNTFIIRCLQWTTVIERTFHVETPEEREEWTTAIQTVADGLKKQEEE-------------------------- | |||||||||||||
| 8 | 1wg7A | 0.14 | 0.13 | 4.35 | 0.73 | EigenThreader | SQKGGITKHGWLYKGNMNSASFKRRFFHLIQGSYNLNFYKDE--KISKEPKGSIFLDSCGVVQNNKVRRFAFELKMQD---KSSYLLAADSEVEMEEWITILNKILQLNFEAAMQEKRNGDSHEDDESG--------PSSG | |||||||||||||
| 9 | 2x18A | 1.00 | 0.79 | 22.04 | 1.87 | CNFpred | ---VTIVKEGWVQKRGEYIKNWRPRYFLLKTDGSFIGYKEKPQDVDLPYPLNNFSVAKCQLMKTERPKPNTFIIRCLQWTTVIERTFHVDTPEEREEWTEAIQAVADRLQRQEE--------------------------- | |||||||||||||
| 10 | 1unqA | 0.76 | 0.62 | 17.47 | 1.17 | DEthreader | SMSVAIVKEGWLHKRGEYIKTWRPRYFLLKNDGTFIGY-KERPQDVQRAPLNNFSVAQCQLMKTERPRPNTFIIRCLQWTTVIERTFHVETPEEREEWTTAIQTVADGLKKQEEE-------------------------- | |||||||||||||
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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. |