| >Q96N21 (146 residues) MAAAPPLRDRLSFLHRLPILLKGTSDDDVPCPGYLFEEIAKISHESPGSSQCLLEYLLSR LHSSSGHGKLKVLKILLYLCSHGSSFFLLILKRNSAFIQEAAAFAGPPDPLHGNSLYQKV RAAAQDLGSTLFSDTVLPLAPSQPLG |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAAAPPLRDRLSFLHRLPILLKGTSDDDVPCPGYLFEEIAKISHESPGSSQCLLEYLLSRLHSSSGHGKLKVLKILLYLCSHGSSFFLLILKRNSAFIQEAAAFAGPPDPLHGNSLYQKVRAAAQDLGSTLFSDTVLPLAPSQPLG |
| Prediction | CCCCHHHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHCHHHHHHHHHHHHHHHCCCCCSSHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCHCHHHHHHHHHHHHHHHCCCCCCCCCCCCCC |
| Confidence | 98736899988877678999997249999997167999999997194479999999999971799702268999999999819999999999989999999973899986567513199999999999999826777777777899 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAAAPPLRDRLSFLHRLPILLKGTSDDDVPCPGYLFEEIAKISHESPGSSQCLLEYLLSRLHSSSGHGKLKVLKILLYLCSHGSSFFLLILKRNSAFIQEAAAFAGPPDPLHGNSLYQKVRAAAQDLGSTLFSDTVLPLAPSQPLG |
| Prediction | 75435403530442433420450025476222130142004103533730330051025206673230211003003200742364024204631520440372423415254661144025104401410244644654456648 |
| 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 | CCCCHHHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHHHCHHHHHHHHHHHHHHHCCCCCSSHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCHCHHHHHHHHHHHHHHHCCCCCCCCCCCCCC MAAAPPLRDRLSFLHRLPILLKGTSDDDVPCPGYLFEEIAKISHESPGSSQCLLEYLLSRLHSSSGHGKLKVLKILLYLCSHGSSFFLLILKRNSAFIQEAAAFAGPPDPLHGNSLYQKVRAAAQDLGSTLFSDTVLPLAPSQPLG | |||||||||||||||||||
| 1 | 5wfbA | 0.95 | 0.84 | 23.63 | 1.33 | DEthreader | -AA--PL-RDRLSFHRLPILLKGTSDDDVPCPGYLFEEIAKISHESPGSSQCLLEYLLSRLHSSSGHGKLKVLKILLYLCSHGSSFFLLILKRNSAFIQEAAAFAGPPDPLHGNSLYQKVRAAAQDLGSTLFS------------- | |||||||||||||
| 2 | 5wfbA | 1.00 | 0.90 | 25.32 | 2.01 | SPARKS-K | -AAAPPLRDRLSFLHRLPILLKGTSDDDVPCPGYLFEEIAKISHESPGSSQCLLEYLLSRLHSSSGHGKLKVLKILLYLCSHGSSFFLLILKRNSAFIQEAAAFAGPPDPLHGNSLYQKVRAAAQDLGSTLFS------------- | |||||||||||||
| 3 | 5uccA | 0.24 | 0.21 | 6.41 | 0.74 | MapAlign | ------------YSSAQRVVRNATSNDPTGPTTFDMEEISSFTYQSQTEFMEVMDMLDRRLNDKNWRHVAKSLTVLDYLVRYGSDKCVLWAKDNLYIIKTLREFVH-FDETNND-QGAIIRVKAKELVSLLRDDERLKQE------ | |||||||||||||
| 4 | 5uccA | 0.23 | 0.21 | 6.45 | 0.59 | CEthreader | ------------YSSAQRVVRNATSNDPTGPTTFDMEEISSFTYQSQTEFMEVMDMLDRRLNDKNWRHVAKSLTVLDYLVRYGSDKCVLWAKDNLYIIKTLREFVHFDE--TNNDQGAIIRVKAKELVSLLRDDERLKQERANAKK | |||||||||||||
| 5 | 5wfbA | 1.00 | 0.90 | 25.32 | 1.93 | MUSTER | -AAAPPLRDRLSFLHRLPILLKGTSDDDVPCPGYLFEEIAKISHESPGSSQCLLEYLLSRLHSSSGHGKLKVLKILLYLCSHGSSFFLLILKRNSAFIQEAAAFAGPPDPLHGNSLYQKVRAAAQDLGSTLFS------------- | |||||||||||||
| 6 | 5wfbA | 1.00 | 0.90 | 25.32 | 2.61 | HHsearch | -AAAPPLRDRLSFLHRLPILLKGTSDDDVPCPGYLFEEIAKISHESPGSSQCLLEYLLSRLHSSSGHGKLKVLKILLYLCSHGSSFFLLILKRNSAFIQEAAAFAGPPDPLHGNSLYQKVRAAAQDLGSTLFS------------- | |||||||||||||
| 7 | 5wfbA | 1.00 | 0.90 | 25.32 | 2.37 | FFAS-3D | -AAAPPLRDRLSFLHRLPILLKGTSDDDVPCPGYLFEEIAKISHESPGSSQCLLEYLLSRLHSSSGHGKLKVLKILLYLCSHGSSFFLLILKRNSAFIQEAAAFAGPPDPLHGNSLYQKVRAAAQDLGSTLFS------------- | |||||||||||||
| 8 | 1h0aA | 0.18 | 0.18 | 5.79 | 0.85 | EigenThreader | SLRRQMKNIVHNYSEAEIKVREATSNDPWGPSSSLMSEIADLTY-NVVAFSEIMSMIWKRLNDHNWRHVYKAMTLMEYLIKTGSERVSQQCKENMYAVQTLKDFQYVDR--DGKDQGVNVREKAKQLVALLRDEDRLREERAHALK | |||||||||||||
| 9 | 5wf9A | 1.00 | 0.90 | 25.12 | 1.28 | CNFpred | --AAPPLRDRLSFLHRLPILLKGTSDDDVPCPGYLFEEIAKISHESPGSSQCLLEYLLSRLHSSSGHGKLKVLKILLYLCSHGSSFFLLILKRNSAFIQEAAAFAGPPDPLHGNSLYQKVRAAAQDLGSTLFS------------- | |||||||||||||
| 10 | 5uccA | 0.24 | 0.21 | 6.63 | 1.33 | DEthreader | ----------Y--SSAQRVVRNATSNDPTGPTTFDMEEISSFTYQSQTEFMEVMDMLDRRLNDKNWRHVAKSLTVLDYLVRYGSDKCVLWAKDNLYIIKTLREFVH-FDET-NNDQGAIIRVKAKELVSLLRDDERLKQRANAKN- | |||||||||||||
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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. |