| >P40199 (143 residues) MGPPSAPPCRLHVPWKEVLLTASLLTFWNPPTTAKLTIESTPFNVAEGKEVLLLAHNLPQ NRIGYSWYKGERVDGNSLIVGYVIGTQQATPGPAYSGRETIYPNASLLIQNVTQNDTGFY TLQVIKSDLVNEEATGQFHVYPE |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MGPPSAPPCRLHVPWKEVLLTASLLTFWNPPTTAKLTIESTPFNVAEGKEVLLLAHNLPQNRIGYSWYKGERVDGNSLIVGYVIGTQQATPGPAYSGRETIYPNASLLIQNVTQNDTGFYTLQVIKSDLVNEEATGQFHVYPE |
| Prediction | CCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCCCCSSSSSSCCCCCCCCCSSSSSSCCCCCCCSSSSSSSCCCCCCCCSSSSSSCCCCCSSSCCCCCCSSSSCCCCCSSSSCCCCCCCSSSSSSSSSCCCSSSSSSSSSSSSCC |
| Confidence | 99877676678654234899999998537876415788606885424744999826998762368996132257873899998488722537766661787189757996157333527999999669949999999999659 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MGPPSAPPCRLHVPWKEVLLTASLLTFWNPPTTAKLTIESTPFNVAEGKEVLLLAHNLPQNRIGYSWYKGERVDGNSLIVGYVIGTQQATPGPAYSGRETIYPNASLLIQNVTQNDTGFYTLQVIKSDLVNEEATGQFHVYPE |
| Prediction | 86444244353423133100000001213341313030433344335444010204423732421322324434443200112254634342442343231354030203403462313020202357443440303040258 |
| 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 | CCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCCCCSSSSSSCCCCCCCCCSSSSSSCCCCCCCSSSSSSSCCCCCCCCSSSSSSCCCCCSSSCCCCCCSSSSCCCCCSSSSCCCCCCCSSSSSSSSSCCCSSSSSSSSSSSSCC MGPPSAPPCRLHVPWKEVLLTASLLTFWNPPTTAKLTIESTPFNVAEGKEVLLLAHNLPQNRIGYSWYKGERVDGNSLIVGYVIGTQQATPGPAYSGRETIYPNASLLIQNVTQNDTGFYTLQVIKSDLVNEEATGQFHVYPE | |||||||||||||||||||
| 1 | 2fboJ | 0.13 | 0.12 | 4.15 | 1.33 | DEthreader | ---YNQFVESSVANLAPTLRLYSVVLKVTPSNNVHVST-AEVVQVDEGNDITMTCPCTDCANANVTWYTGPTTGTYQPLANKN-QFGITWFSSEIAGRASFSGARNLVIRAAKITDAGRVWCELATGGLDADRSSTILKV--- | |||||||||||||
| 2 | 4y89A | 0.63 | 0.48 | 13.59 | 1.13 | SPARKS-K | ---------------------------------AQTNIDVVPFNVAEGKEVLLVVHNESQNLYGYNWYKGERVHANYRIIGYVKNISQENAPPAHNGRETIYPNGTLLIQNVTHNDAGIYTLHVIKENLVNEEVTRQFYVF-- | |||||||||||||
| 3 | 4y89A | 0.65 | 0.49 | 13.97 | 1.73 | FFAS-3D | ---------------------------------AQTNIDVVPFNVAEGKEVLLVVHNESQNLYGYNWYKGERVHANYRIIGYVKNISQNAPGPAHNGRETIYPNGTLLIQNVTHNDAGIYTLHVIKENLVNEEVTRQFYVF-- | |||||||||||||
| 4 | 2qsqA | 0.88 | 0.68 | 19.08 | 1.67 | CNFpred | ---------------------------------AKLTIESTPFNVAEGKEVLLLVHNLPQHLFGYSWYKGERVDGNRQIIGYVIGTQQATPGPAYSGREIIYPNASLLIQNIIQNDAGFYTLHVIKSDLVNEEATGQFRVYPE | |||||||||||||
| 5 | 6wznA | 0.12 | 0.11 | 3.93 | 1.17 | DEthreader | --STKPYEKYPEDIPAHRYS-GG-----G--TQVQLVE-SGGGLVQPGGSLRLSCAASLTSNYAMNWVRQAP-KGLEWVSSISSRGDTTYYADSVKGRFTISRDLYLQMNSLRAEDAAVYYCARLRNS-MDVWGGTTVTVSSA | |||||||||||||
| 6 | 2dksA | 0.69 | 0.57 | 16.12 | 1.04 | SPARKS-K | -------------------------GSSGSSGTAQLTIEAVPSNAAEGKEVLLLVHNLPQDPRGYNWYKGETVDANRRIIGYVISNQQITPGPAYSNRETIYPNASLLMRNVTRNDTGSYTLQVIKLNLMSEEVTGQFSVHPE | |||||||||||||
| 7 | 2fboJ | 0.18 | 0.14 | 4.55 | 0.42 | MapAlign | --------------------------------IMTVRTTHTEVEVHAGGTVELPCSYQLTQPPVISWLKGASPDRSTKVFKGNFVDSYKESFGDFLGRASVAAAPTLRLTHVHPQDGGRYWCQVAQWEFGLDAKSVVLKVTHT | |||||||||||||
| 8 | 2fboJ | 0.18 | 0.14 | 4.56 | 0.33 | CEthreader | -------------------------------SIMTVRTTHTEVEVHAGGTVELPCSYQLAQPPVISWLKGASPDRSTKVFKGNYNDSYKESFGDFLGRASVLAAPTLRLTHVHPQDGGRYWCQVAQWSIGLDAKSVVLKVTGH | |||||||||||||
| 9 | 2dksA | 0.69 | 0.57 | 16.12 | 0.92 | MUSTER | -------------------------GSSGSSGTAQLTIEAVPSNAAEGKEVLLLVHNLPQDPRGYNWYKGETVDANRRIIGYVISNQQITPGPAYSNRETIYPNASLLMRNVTRNDTGSYTLQVIKLNLMSEEVTGQFSVHPE | |||||||||||||
| 10 | 1l6zA1 | 0.42 | 0.32 | 9.45 | 0.38 | HHsearch | ----------------------------------EVTIEAVPPQVAEDNNVLLLVHNLPLALGAFAWYKGNTTAIDKEIARFVPNSNMNFTGQAYSGREIIYSNGSLLFQMITMKDMGVYTLDMTDENYRRTQATVRFHVHQP | |||||||||||||
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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. |