| >P06127 (141 residues) MPMGSLQPLATLYLLGMLVASCLGRLSWYDPDFQARLTRSNSKCQGQLEVYLKDGWHMVC SQSWGRSSKQWEDPSQASKVCQRLNCGVPLSLGPFLVTYTPQSSIICYGQLGSFSNCSHS RNDMCHSLGLTCLEPQKTTPP |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MPMGSLQPLATLYLLGMLVASCLGRLSWYDPDFQARLTRSNSKCQGQLEVYLKDGWHMVCSQSWGRSSKQWEDPSQASKVCQRLNCGVPLSLGPFLVTYTPQSSIICYGQLGSFSNCSHSRNDMCHSLGLTCLEPQKTTPP |
| Prediction | CCCCCCCCHHHHHHHHHHHSSSCCCCCCCCCCCCSSSCCCCCCCCSSSSSSSCCSSSCSSCCCCCCCCCCCCCHHHHHHHHHHCCCCCHHHCCCCCCCCCCCCCCSSSCCCCCHHHCCCCCCCCCCCSSSSSCCCCCCCCC |
| Confidence | 998877741355543221101114665678885079779999986699999899787165588876555556722224456521998423124456766578885772566887779997999975479995899989999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MPMGSLQPLATLYLLGMLVASCLGRLSWYDPDFQARLTRSNSKCQGQLEVYLKDGWHMVCSQSWGRSSKQWEDPSQASKVCQRLNCGVPLSLGPFLVTYTPQSSIICYGQLGSFSNCSHSRNDMCHSLGLTCLEPQKTTPP |
| Prediction | 654243411110122032212122334465471401023174521000002363400000023144445444326303100321313412431434434141442464041430341436624131300032353766658 |
| 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 | CCCCCCCCHHHHHHHHHHHSSSCCCCCCCCCCCCSSSCCCCCCCCSSSSSSSCCSSSCSSCCCCCCCCCCCCCHHHHHHHHHHCCCCCHHHCCCCCCCCCCCCCCSSSCCCCCHHHCCCCCCCCCCCSSSSSCCCCCCCCC MPMGSLQPLATLYLLGMLVASCLGRLSWYDPDFQARLTRSNSKCQGQLEVYLKDGWHMVCSQSWGRSSKQWEDPSQASKVCQRLNCGVPLSLGPFLVTYTPQSSIICYGQLGSFSNCSHSRNDMCHSLGLTCLEPQKTTPP | |||||||||||||||||||
| 1 | 5a2eA | 0.18 | 0.15 | 4.84 | 1.00 | DEthreader | -------------NGSSSCSGTVECLGC-AENRALRLVDGGGACAGRVEMLEHGEWGSVCDDTW--------DLEDAHVVCRQLGCGWAVQ-ALPGLPGPIHRDQVNCSGAEYLWDCGLPQHYCGEDAGVVCSEHF-SWR- | |||||||||||||
| 2 | 2jp0A | 0.98 | 0.77 | 21.46 | 3.87 | SPARKS-K | ------------------------RLSWYDPDFQARLTRSNSKCQGQLEVYLKDGWHMVCSQSWGRSSKQWEDPSQASKVCQRLNCGDPLSLGPFLKTYTPQSSIICYGQLGSFSNCSHSRNDMCHSLGLTCLE------- | |||||||||||||
| 3 | 5a2eA | 0.20 | 0.17 | 5.45 | 1.18 | MapAlign | ------SRAAEAVCRALCRSDGRRARVTCAENRALRLVDGGGACAGRVEMLEHGEWGSVCDDTW--------DLEDAHVVCRQLGCGWAVQALPGGRGPIHRDQVNCSGAEAYLWDCPGLPGGHKEDAGVVCSEH------ | |||||||||||||
| 4 | 1by2A | 0.21 | 0.15 | 4.74 | 1.05 | CEthreader | ----------------------------AVNDGDMRLADGGATNQGRVEIFYRGQWGTVCDNLWD--------LTDASVVCRALGFENATQALGRASGPIMLDEVQCTGTEASLADCKSLGWLHERDAGVVCTNETTL--- | |||||||||||||
| 5 | 2jp0A | 0.98 | 0.77 | 21.46 | 2.61 | MUSTER | ------------------------RLSWYDPDFQARLTRSNSKCQGQLEVYLKDGWHMVCSQSWGRSSKQWEDPSQASKVCQRLNCGDPLSLGPFLKTYTPQSSIICYGQLGSFSNCSHSRNDMCHSLGLTCLE------- | |||||||||||||
| 6 | 5ze3A | 0.22 | 0.16 | 5.13 | 3.02 | HHsearch | ------------------------------EQPLVRLRGGAYIGEGRVEVLKNGEWGTVCDDKWDLV--------SASVVCRELGFGSAKEAVTGSRLPIHLNEIQCTGNEKSIIDCKFNACNHEEDAGVRCNTPAMGLQK | |||||||||||||
| 7 | 2jp0A | 0.98 | 0.77 | 21.46 | 1.58 | FFAS-3D | ------------------------RLSWYDPDFQARLTRSNSKCQGQLEVYLKDGWHMVCSQSWGRSSKQWEDPSQASKVCQRLNCGDPLSLGPFLKTYTPQSSIICYGQLGSFSNCSHSRNDMCHSLGLTCLE------- | |||||||||||||
| 8 | 5a2eA | 0.22 | 0.20 | 6.27 | 1.27 | EigenThreader | ASWEPAD-----SRAAEAVCRALGGAEWRLENRALRLVDGGGACAGRVEMLEHGEWGSVCDDTWD--------LEDAHVVCRQLGCGWAVQALPGLHFTPGRGPIQVNCSEAYLWDCGQHYCGHKEDAGVVCSEHQCGTAV | |||||||||||||
| 9 | 2jp0A | 0.98 | 0.77 | 21.46 | 1.90 | CNFpred | ------------------------RLSWYDPDFQARLTRSNSKCQGQLEVYLKDGWHMVCSQSWGRSSKQWEDPSQASKVCQRLNCGDPLSLGPFLKTYTPQSSIICYGQLGSFSNCSHSRNDMCHSLGLTCLE------- | |||||||||||||
| 10 | 2xrcA | 0.19 | 0.14 | 4.60 | 1.00 | DEthreader | ------------------ATNR-RSLNNGCGKFSVSLKHGNTDSEGIVEVKLQDKTMFICKSSW--------SMREANVACLDLGFQQADRRFKLSDINSTECLHVHCRGLESLACTFTKRRTMGDFADVVCYTQ------ | |||||||||||||
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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. |