| >Q969I3 (143 residues) MILLNNSHKLLALYKSLARSIPESLKVYGSVYHINHGNPFNMEVLVDSWPEYQMVIIRPQ KQEMTDDMDSYTNVYRMFSKEPQKSEEVLKNCEIVNWKQRLQIQGLQESLGEGIRVATFS KSVKVEHSEWHQWTCYPQNLVPF |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MILLNNSHKLLALYKSLARSIPESLKVYGSVYHINHGNPFNMEVLVDSWPEYQMVIIRPQKQEMTDDMDSYTNVYRMFSKEPQKSEEVLKNCEIVNWKQRLQIQGLQESLGEGIRVATFSKSVKVEHSEWHQWTCYPQNLVPF |
| Prediction | CCCCCCHHHHHHHHHHHHHHCHHHHHHHHSSSSSCCCCCCCSSSSSSCCCCCCSSSSCCCCCCCCCCCCCCCSSSSSSSCCHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCSSSSSSSSSCCCCCCCCC |
| Confidence | 95137989999999999997437775430345530589875168761488862799705544556543322136788875988999996588964855632233324679999999998538741478999997184124999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MILLNNSHKLLALYKSLARSIPESLKVYGSVYHINHGNPFNMEVLVDSWPEYQMVIIRPQKQEMTDDMDSYTNVYRMFSKEPQKSEEVLKNCEIVNWKQRLQIQGLQESLGEGIRVATFSKSVKVEHSEWHQWTCYPQNLVPF |
| Prediction | 64405456204402520463125014120101213444434241114414514211133466645642432221110104337304610766611415330201123541352045127447161432312112233742167 |
| 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 | CCCCCCHHHHHHHHHHHHHHCHHHHHHHHSSSSSCCCCCCCSSSSSSCCCCCCSSSSCCCCCCCCCCCCCCCSSSSSSSCCHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCSSSSSSSSSCCCCCCCCC MILLNNSHKLLALYKSLARSIPESLKVYGSVYHINHGNPFNMEVLVDSWPEYQMVIIRPQKQEMTDDMDSYTNVYRMFSKEPQKSEEVLKNCEIVNWKQRLQIQGLQESLGEGIRVATFSKSVKVEHSEWHQWTCYPQNLVPF | |||||||||||||||||||
| 1 | 1sqhA | 0.09 | 0.08 | 3.17 | 1.17 | DEthreader | RPLSDS--EVDELLDLYKKFG-RNF-HYLLLYNQRKRQLHLRKQFYTHGNTWGTYVSLHR---D------IVQSVSFFSWQAAELWECLEQTQLIEWTQGALLTNVDLGFCNRVKELAVSRGVTIQPRQCFGNFSGIAGEEI- | |||||||||||||
| 2 | 1sqhA | 0.09 | 0.08 | 3.17 | 1.03 | MapAlign | LRPL-SDSEVDELLDLYKVKFGIRNFHYLLLYNQRKWDSLRKQFYTHRRGNFWTYVSLHR---------DIVQSVSFFSWQAAELWECLEQTQLIEWTQGALLTNVDLGFCNRVKELAVSRGVTIQPRQCFGVLSHEDAF--- | |||||||||||||
| 3 | 1sqhA | 0.10 | 0.10 | 3.63 | 2.83 | HHsearch | LRPLS-DSEVDELLDLYKVKFGIRNFHYLLLYNQRKWDRQLSEAQILNHISLKQFYTHRRGNSLHRDIVQSVSFFSWQPDGAAELWECLEQTQLIEWTQGALLTNVDLGFCNRVKELAVSRGVTAIQRQCFGVL-SHEDAFPF | |||||||||||||
| 4 | 1sqhA | 0.08 | 0.08 | 3.01 | 1.33 | CNFpred | ILRPLSDSEVDELLDLYKVKFGIRNFHYLLLYNQRKWDR-RKQFYTHNFRTWGTYVSLHRD---------IVQSVSFFSWQAAELWECLEQTQLIEWTQGALLTNVDLGFCNRVKELAVSRGVTAQPRQCFGMVLSHEDAFCA | |||||||||||||
| 5 | 3f5bA | 0.07 | 0.06 | 2.57 | 1.00 | DEthreader | FKQ-NK-SQHELVLGWIHQHIEWLHGLSNTIKDLHEFGKPWATHWIAYDEIPFAYLITS-E--IEKSEYPGAVTLDLFICIKGLSVQIHEFILQFSDTKIVLINPENERAVHVYKKAG-----FEIIGEFIASWH-------- | |||||||||||||
| 6 | 1sqhA | 0.10 | 0.09 | 3.38 | 0.96 | SPARKS-K | LRPLS-DSEVDELLDLYKVKFGIRNFHYLLLYNQRKHISLRKQFYTHRRGNFTYVSLHRDI----------VQSVSFFSWQAAELWECLEQTQLIEWTQGALLTNVDLGFCNRVKELAVSRGVTAIQPRQCFGVLSHEDAFCA | |||||||||||||
| 7 | 2vzzA | 0.08 | 0.07 | 2.82 | 0.87 | MapAlign | LQLP-TEELCDQLIDTILFSVPWTRALPFNTLSHLWQQLDWSLPLAVLVGRAVGVQALSS----KDFPITRQVDSGSWLGGHGYGTEMRA--AVLLEAQVATSRVDNPASIAVSRRNDNAEALLFRLTRDDWQRHRTVEV--- | |||||||||||||
| 8 | 1sqhA | 0.07 | 0.07 | 2.87 | 0.75 | CEthreader | ILRPLSDSEVDELLDLYKVKFGIRNFHYLLLYNQRKWDSLRKQFYTHRRGNFRTWGTYVSLHR---DIVQSVSFFSWQPDGAAELWECLEQTQLIEWTQGALLTNVDLGFCNRVKELAVSRGVTAIQPRQCFGVLSHEDAFCA | |||||||||||||
| 9 | 1sqhA | 0.08 | 0.08 | 3.27 | 0.68 | MUSTER | ILRPLSDSEVDELLDLYKVKFGIRNFHYLLLYNQRKWDRQLSEAQILNHISLRQFYTHRRGNFRTWDIVQSVSFFSWQPDGAAELWECLEQTQLIEWTQGALLTNVDLGFCNRVKELAVSRGVTAIQPRQCFGVLSHEDAFCA | |||||||||||||
| 10 | 3g3sA | 0.08 | 0.06 | 2.46 | 0.37 | HHsearch | ------GAEQRRVARLFGDWPE------TIIWTCLEGT---GDIYVDDSQSPQSALALYGRQS---------FFGFLAGQPHRDLLKICEGK-------NIILVPQNQAWSDLIEEVYGDG---VRFFTRYATKKDLGHLQPE | |||||||||||||
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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. |