| >Q9Y5C1 (249 residues) TEISLSSKPRAPRTTPFLQLNEIRNVKHDGIPAECTTIYNRGEHTSGMYAIRPSNSQVFH VYCDVISGSPWTLIQHRIDGSQNFNETWENYKYGFGRLDGEFWLGLEKIYSIVKQSNYVL RIELEDWKDNKHYIEYSFYLGNHETNYTLHLVAITGNVPNAIPENKDLVFSTWDHKAKGH FNCPEGYSGGWWWHDECGENNLNGKYNKPRAKSKPERRRGLSWKSQNGRLYSIKSTKMLI HPTDSESFE |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | TEISLSSKPRAPRTTPFLQLNEIRNVKHDGIPAECTTIYNRGEHTSGMYAIRPSNSQVFHVYCDVISGSPWTLIQHRIDGSQNFNETWENYKYGFGRLDGEFWLGLEKIYSIVKQSNYVLRIELEDWKDNKHYIEYSFYLGNHETNYTLHLVAITGNVPNAIPENKDLVFSTWDHKAKGHFNCPEGYSGGWWWHDECGENNLNGKYNKPRAKSKPERRRGLSWKSQNGRLYSIKSTKMLIHPTDSESFE |
| Prediction | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHCCCCCCSSSSSCCCCCCSSSSSSCCCCCCCSSSSSSSCCCSSSCCCHHHHHHHCCCCCCCSSSCHHHHHHHHCCCCSSSSSSSCCCCCCSSSSSSSSSSCCHHHCCSSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHCCCCCSSSCCCCCCCCCCCCCCCCCCCCCCCCCSSSSCCCCCCCSCSSSSSSSSSSCCCCCCC |
| Confidence | 985312456667778642123222566788999989999709987727999859998189984347887623577663672322058899987438999954511023445521386277555314899889999855536821282799712345655542001677243558987665642221267745523122467677414688877765455368426789842021799987428876579 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | TEISLSSKPRAPRTTPFLQLNEIRNVKHDGIPAECTTIYNRGEHTSGMYAIRPSNSQVFHVYCDVISGSPWTLIQHRIDGSQNFNETWENYKYGFGRLDGEFWLGLEKIYSIVKQSNYVLRIELEDWKDNKHYIEYSFYLGNHETNYTLHLVAITGNVPNAIPENKDLVFSTWDHKAKGHFNCPEGYSGGWWWHDECGENNLNGKYNKPRAKSKPERRRGLSWKSQNGRLYSIKSTKMLIHPTDSESFE |
| Prediction | 874435544654654434435534536655205304302745444200010306735203010102544422101222323231323244023311333232112332233224323120202022244332102021223344232202022323333302321332301020303432332033233322021002302020312435443444223101022143441002203320214627538 |
| Values range from 0 (buried residue) to 8 (highly exposed residue) | |
| Rank | PDB hit | ID1 | ID2 | Cov | Norm. Zscore | Downloadalignment | 20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHCCCCCCSSSSSCCCCCCSSSSSSCCCCCCCSSSSSSSCCCSSSCCCHHHHHHHCCCCCCCSSSCHHHHHHHHCCCCSSSSSSSCCCCCCSSSSSSSSSSCCHHHCCSSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHCCCCCSSSCCCCCCCCCCCCCCCCCCCCCCCCCSSSSCCCCCCCSCSSSSSSSSSSCCCCCCC TEISLSSKPRAPRTTPFLQLNEIRNVKHDGIPAECTTIYNRGEHTSGMYAIRPSNSQVFHVYCDVISGSPWTLIQHRIDGSQNFNETWENYKYGFGRLDGEFWLGLEKIYSIVKQSNYVLRIELEDWKDNKHYIEYSFYLGNHETNYTLHLVAITGNVPNAIPENKDLVFSTWDHKAKGHFNCPEGYSGGWWWHDECGENNLNGKYNKPRAKSKPERRRGLSWKSQNGRLYSIKSTKMLIHPTDSESFE | |||||||||||||||||||
| 1 | 1m1jE | 0.35 | 0.31 | 9.35 | 1.33 | DEthreader | --------------VASCNIP---VV----SGRECEDIYRKGGETSEMYIIQPPFTTPYRVYCDMETNGGWTLIQNRQDGSVNFGRAWDEYKRGFGNIAGEYWLGNDKISQLTKIGPTKVLIEMEDWNGDKVSALYGFTIHNEGNKYQLSVSNYKGNAGNALMIHNGMYFSTYDRDNDLTKQCSKEDG-GGWWYNRCHAANPNGRYYGGTYSWDMATDDGIVWMNWKGSWYSMKKMSMKIKPYF-P--- | |||||||||||||
| 2 | 6y41A | 0.37 | 0.32 | 9.43 | 4.60 | SPARKS-K | ----------------------------SGPWRDCLQALEDGHDTSSIYLVKPENTRLMQVWCDQRHPGGWTVIQRRLDGSVNFFRNWETYKQGFGNIDGEYWLGLENIYWLTNQGNYKLLVTMEDWSGRKVFAEYSFRLEPESEYYKLRLGRYHGNAGDSFTWHNGKQFTTLDRDHVYTGNCAHYQKGGW-WYNACAHSNLNGVWY-RGGHYRSRYQDGVYWAEFRGGSYSLKKVVMMIRPNPN---- | |||||||||||||
| 3 | 4m7fA | 0.36 | 0.30 | 8.98 | 1.55 | MapAlign | ------------------------------RPRDCLDVLLSGQQDDGVYSVFPTHYPGFQVYCDMRTGGGWTVFQRREDGSVNFFRGWDAYRDGFGRLTGEHWLGLKRIHALTTQAAYELHVDLEDFENGTAYARYSFGVGPEEDGYPLTVADYSGTAGDSLLKHSGMRFTTKDRDSDHENNCAAFYRGAW-WYRNCHTSNLNGQYLRG---AHASYADGVEWSSWTGWQYSLKFSEMKIRPVR----- | |||||||||||||
| 4 | 4m7fA | 0.34 | 0.29 | 8.65 | 1.07 | CEthreader | -----------------------------SRPRDCLDVLLSGQQDDGVYSVFPTHYAGFQVYCDMRTGGGWTVFQRREDGSVNFFRGWDAYRDGFGRLTGEHWLGLKRIHALTTQAAYELHVDLEDFENGTAYARYGSFGVPEEDGYPLTVADYSGTAGDSLLKHSGMRFTTKDRDSHSENNCAAFYRGAW-WYRNCHTSNLNGQYLRGAHA---SYADGVEWSSWTGWQYSLKFSEMKIRPVR----- | |||||||||||||
| 5 | 6euaA | 0.99 | 0.80 | 22.50 | 3.16 | MUSTER | -----------------------------MIPAECTTIYNRGEHTSGMYAIRPSNSQVFHVYCDVISGSPWTLIQHRIDGSQNFNETWENYKYGFGRLDGEFWLGLEKIYSIVKQSNYVLRIELEDWKDNKHYIEYSFYLGNHETNYTLHLVAITGNVPNAIPENKDLVFSTWDHKAF---NCPEGYSGGWWWHDECGENNLNGKYNK----------RGLSWKSQNGRLYSIKSTKMLIHPTD----- | |||||||||||||
| 6 | 1ei3C | 0.36 | 0.35 | 10.40 | 3.24 | HHsearch | KIAQLESHCQEPCKD--------TAEIQETTGRDCQDIANKGARKSGLYFIKPQKKQSFLVYCEIDTGNGWTVLQRRLDGSEDFRRNWVQYKEGFGHLTTEFWLGNEKIHLITTTLPYALRIELEDWSGKKGTADYVFKVGTEEDKYRLTYAYFIGERGDAFTYHNGMRFSTFDNDNNFEGNCAEQDGSGW-WMNRCHAGHLNGPYYIGGVYSRNSYDNGIIWATWRDRWYSMKKTTMKIIPFNRLSID | |||||||||||||
| 7 | 6euaA | 0.96 | 0.77 | 21.62 | 2.93 | FFAS-3D | ------------------------------IPAECTTIYNRGEHTSGMYAIRPSNSQVFHVYCDVISGSPWTLIQHRIDGSQNFNETWENYKYGFGRLDGEFWLGLEKIYSIVKQSNYVLRIELEDWKDNKHYIEYSFYLGNHETNYTLHLVAITGNVPNAIPENKDLVFSTWDHKAF----NCPEGYSGWWWHDECGENNLNGKYNK----------RGLSWKSQNGRLYSIKSTKMLIHPTD----- | |||||||||||||
| 8 | 1n73C | 0.31 | 0.29 | 8.74 | 1.60 | EigenThreader | SRSCQDTT---------------ANKISPITGKDCQQVVDNGGKDSGLYYIKPLKAQPFLVFCEIG--NGWTVIQHRHDGSVNFTRDWVSYREGFLAPTTEFWLGNEKIHLLTGQQAYRLRIDLTDWENTHRYADYGHKLTPESDEYRLFYMYLDGDAGNAFDTHLGMLFSTPERDNDKYEGSCAEQDGSGWWMNRCHAGHLNGKYYFGGNYVEFPYDDGIIWATWHDRWYSLKMTTMKLLPMGRDLSG | |||||||||||||
| 9 | 6euaA | 1.00 | 0.81 | 22.60 | 4.32 | CNFpred | ------------------------------IPAECTTIYNRGEHTSGMYAIRPSNSQVFHVYCDVISGSPWTLIQHRIDGSQNFNETWENYKYGFGRLDGEFWLGLEKIYSIVKQSNYVLRIELEDWKDNKHYIEYSFYLGNHETNYTLHLVAITGNVPNAIPENKDLVFSTWDHKA---FNCPEGYSGGWWWHDECGENNLNGKYNK----------RGLSWKSQNGRLYSIKSTKMLIHPTD----- | |||||||||||||
| 10 | 1n73C | 0.34 | 0.31 | 9.25 | 1.33 | DEthreader | --------------DTTANKI-S---PI--TGKDCQQVVDNGGKDSGLYYIKPLKKQPFLVFCEIENGNGWTVIQHRHDGSVNFTRDWVSYREGFGYLATEFWLGNEKIHLLTGQQAYRLRIDLTDWENTHRYADYGFKLTPESDEYRLFYSMYDGDAGNAFDTHLGMLFSTPERDNDKEGSCAEQDG-SGWWMNRCHAGHLNGKYYFGGNYRKTPYDDGIIWATWHDRWYSLKMTTMKLLPMGRD--- | |||||||||||||
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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. |