| >P53674 (141 residues) MSQAAKASASATVAVNPGPDTKGKGAPPAGTSPSPGTTLAPTTVPITSAKAAELPPGNYR LVVFELENFQGRRAEFSGECSNLADRGFDRVRSIIVSAGPWVAFEQSNFRGEMFILEKGE YPRWNTWSSSYRSDRLMSFRP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSQAAKASASATVAVNPGPDTKGKGAPPAGTSPSPGTTLAPTTVPITSAKAAELPPGNYRLVVFELENFQGRRAEFSGECSNLADRGFDRVRSIIVSAGPWVAFEQSNFRGEMFILEKGEYPRWNTWSSSYRSDRLMSFRP |
| Prediction | CCCCCCCCCCSSSSSSCCCCCCCCSSSSCCCCCCCCCCCCCCCCCCCCCCSCCCCCCCCSSSSSSCCCCCCSSSSSCCCCCCCCCCCCCCCCSSSSSCCCSSSSSCCCCCSSSSSSCCCCCCCHHHHCCCCCCCSSSSCCC |
| Confidence | 984443322415999648998531544389878741225888875212311247899866999917999522899647888712047886307999555289981899822689876886699777067767881560289 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MSQAAKASASATVAVNPGPDTKGKGAPPAGTSPSPGTTLAPTTVPITSAKAAELPPGNYRLVVFELENFQGRRAEFSGECSNLADRGFDRVRSIIVSAGPWVAFEQSNFRGEMFILEKGEYPRWNTWSSSYRSDRLMSFRP |
| Prediction | 744224343210000023461434213045322233432233423021142144654422010113660522322134303303444154020020351301012346041221204536043244123344343013337 |
| 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 | CCCCCCCCCCSSSSSSCCCCCCCCSSSSCCCCCCCCCCCCCCCCCCCCCCSCCCCCCCCSSSSSSCCCCCCSSSSSCCCCCCCCCCCCCCCCSSSSSCCCSSSSSCCCCCSSSSSSCCCCCCCHHHHCCCCCCCSSSSCCC MSQAAKASASATVAVNPGPDTKGKGAPPAGTSPSPGTTLAPTTVPITSAKAAELPPGNYRLVVFELENFQGRRAEFSGECSNLADRGFDRVRSIIVSAGPWVAFEQSNFRGEMFILEKGEYPRWNTWSSSYRSDRLMSFRP | |||||||||||||||||||
| 1 | 2jdfA | 0.22 | 0.16 | 5.14 | 1.00 | DEthreader | ---NLQERPGHDYQQ----------------------------WMG-C-IPPHSG--AYRMKIYDRDELRGQMSELTDDCLSVQDRHLTEIHSLNVLEGSWILYEMPNYRGRQYLLRPGEYRRFLDWG-APNA-KVGSLRR | |||||||||||||
| 2 | 3qk3A | 0.24 | 0.23 | 7.30 | 2.38 | SPARKS-K | VGSIQVESGPWLAFESRAFRGEQFVLEKGDYPRWDAWSNSRDSDSLLSLRPLNIDSPHHKLHLFENPAFSGRKMEIVDDVPSLWAHGFDRVASVRAINGTWVGYEFPGYRGRQYVFERGEYRHWNEWDAS--QPQLQSVRR | |||||||||||||
| 3 | 1okiA2 | 0.34 | 0.21 | 6.16 | 0.79 | MapAlign | ------------------------------------------------------DAQEHKISLFEGANFKGNTIEIQGDAPSLWVYGFDRVGSVKVSSGTWVGYQYPGYRGYQYLLEPGDFRHWNEW--GAFQPQMQSLRR | |||||||||||||
| 4 | 1okiA | 0.22 | 0.21 | 6.73 | 0.56 | CEthreader | VRSIIVSAGPWVAFEQSNFRGEMFILEKGEYPRWNTWSSSYRSDRLMSFRPIKMDAQEHKISLFEGANFKGNTIEIQGDAPSLWVYGFDRVGSVKVSSGTWVGYQYPGYRGYQYLLEPGDFRHWNEWGAF--QPQMQSLRR | |||||||||||||
| 5 | 1bd7A | 0.36 | 0.36 | 10.77 | 1.88 | MUSTER | QEKVSSVRQSGTWVGYQYPGYRGLQYLLEKGDYKDNSDFGAPHPQVQSVRRIRDMQGNPKIIIFEQENFQGHSHELSGPCPNLKETGMEKAGSVLVQAGPWVGYEQANCKGEQFVFEKGEYPRWDSWTSSRRTDSLSSLRP | |||||||||||||
| 6 | 2m3cA | 0.24 | 0.23 | 7.28 | 1.75 | HHsearch | FNRCIRVESCFMVYDRTNFMGRQY--FLRGEYPDY-MRTMGMNDCVRSCRMIPLHHGSFKMRLYEHSDMGGRMMELMDDCPNLMDRFNSDFHSCHVMDGHWLVYEQPNYTGRQFYLRPGEYRSYNDWGG--VTSRMGSIRR | |||||||||||||
| 7 | 1bd7A | 0.38 | 0.36 | 10.71 | 1.52 | FFAS-3D | --------QSGTWVGYQYPGYRGLQYLLEKGDYKDNSDFGAPHPQVQSVRRIRDMQGNPKIIIFEQENFQGHSHELSGPCPNLKETGMEKAGSVLVQAGPWVGYEQANCKGEQFVFEKGEYPRWDSWTSSRRTDSLSSLRP | |||||||||||||
| 8 | 1bd7A | 0.29 | 0.26 | 8.00 | 1.05 | EigenThreader | NFTG---KKMEIVDDDVPSFHAHGYQEKV-----SDNSDFGAPHPQVQSVRRIRDMQNPKIIIFEQENFQGHSHELSGPCPNLKETGMEKASVLVQAGP-WVGYEQANCKGEQFVFEKGRWDSW---TSSRRTDSLSSLRP | |||||||||||||
| 9 | 1bd7A | 0.48 | 0.33 | 9.70 | 2.19 | CNFpred | -------------------------------------------PQVQSVRRIRDMQGNPKIIIFEQENFQGHSHELSGPCPNLKETGMEKAGSVLVQAGPWVGYEQANCKGEQFVFEKGEYPRWDSWTSSRRTDSLSSLRP | |||||||||||||
| 10 | 3qk3A | 0.29 | 0.21 | 6.48 | 1.00 | DEthreader | --PSLT-EKVGRWDA-----------------------SRD--------LNIDSP--HHKLHLFENPAFSGRKMEIVDDVPSLWAHGFQRVASVRAINGTWVGYEFPGYRGRQYVFERGEYRHWNEWD-ASQP-QLQSVRR | |||||||||||||
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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. |