| >Q96CX2 (142 residues) MALADSTRGLPNGGGGGGGSGSSSSSAEPPLFPDIVELNVGGQVYVTRRCTVVSVPDSLL WRMFTQQQPQELARDSKGRFFLDRDGFLFRYILDYLRDLQLVLPDYFPERSRLQREAEYF ELPELVRRLGAPQQPGPGPPPS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MALADSTRGLPNGGGGGGGSGSSSSSAEPPLFPDIVELNVGGQVYVTRRCTVVSVPDSLLWRMFTQQQPQELARDSKGRFFLDRDGFLFRYILDYLRDLQLVLPDYFPERSRLQREAEYFELPELVRRLGAPQQPGPGPPPS |
| Prediction | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSCCSSSSSSHHHHHCCCCCCSCCCCCCCCCCCCCCCCCCSSSCCCCCHHHHHHHHHHHCCCSCCCCCCHHHHHHHHHHHHCCCHHHHHHHHHHHHCCCCCCCC |
| Confidence | 9989888778887788988776666788888996699972998999878898519996101023788765556787722761698017999999974195337998628999999999809989999998766216999989 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MALADSTRGLPNGGGGGGGSGSSSSSAEPPLFPDIVELNVGGQVYVTRRCTVVSVPDSLLWRMFTQQQPQELARDSKGRFFLDRDGFLFRYILDYLRDLQLVLPDYFPERSRLQREAEYFELPELVRRLGAPQQPGPGPPPS |
| Prediction | 7445544543444554454544556456455454202010344314023400442443201223466453424434422103433461021003113324031376153153025105226056016305746676664588 |
| 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 | CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSCCSSSSSSHHHHHCCCCCCSCCCCCCCCCCCCCCCCCCSSSCCCCCHHHHHHHHHHHCCCSCCCCCCHHHHHHHHHHHHCCCHHHHHHHHHHHHCCCCCCCC MALADSTRGLPNGGGGGGGSGSSSSSAEPPLFPDIVELNVGGQVYVTRRCTVVSVPDSLLWRMFTQQQPQELARDSKGRFFLDRDGFLFRYILDYLRDLQLVLPDYFPERSRLQREAEYFELPELVRRLGAPQQPGPGPPPS | |||||||||||||||||||
| 1 | 3dryC | 0.26 | 0.20 | 6.30 | 1.17 | DEthreader | AQRP-------------------------GSVSKWVRLNVGGTYFLTTRQTLCRDPKSFLYRLCQADPDLDSDKDETGAYLIDRDPTYFGPVLNYLRHGKLVINKDL-AEEGVLEEAEFYNITSLIKLVKDIRERDSK---- | |||||||||||||
| 2 | 6s4lA1 | 0.32 | 0.25 | 7.63 | 2.68 | SPARKS-K | -----------------------------SMSNAPVHIDVGGHMYTSSLATLTKYPESRIGRLFDGTDPIV-LDSLKQHYFIDRDGQMFRYILNFLRTSKLLIPDDFKDYTLLYEEAKYFQLQPMLLEMERWKQDRETGRFS | |||||||||||||
| 3 | 6s4lA1 | 0.35 | 0.25 | 7.58 | 1.03 | MapAlign | ------------------------------MSNAPVHIDVGGHMYTSSLATLTKYPESRIGRLFDGTDP--IVLDSLKHYFIDRDGQMFRYILNFLRTSKLLIPDDFKDYTLLYEEAKYFQLQPMLLEMERWKQDR------ | |||||||||||||
| 4 | 6s4lA | 0.31 | 0.25 | 7.44 | 0.82 | CEthreader | -----------------------------SMSNAPVHIDVGGHMYTSSLATLTKYPESRIGRLFDGTD-PIVLDSLKQHYFIDRDGQMFRYILNFLRTSKLLIPDDFKDYTLLYEEAKYFQLQPMLLEMERWKQDRETGRFS | |||||||||||||
| 5 | 5bxbA | 0.33 | 0.25 | 7.39 | 2.02 | MUSTER | -------------------------------ANAPVHIDVGGHMYTSSLATLTKYPESRIGRLFDGTEPIV-LDSLKQHYFIDRDGQMFRYILNFLRTSKLLIPDDFKDYTLLYEEAKYFQLQPMLLEMERWKQDRE----- | |||||||||||||
| 6 | 3dryC | 0.27 | 0.23 | 6.92 | 2.35 | HHsearch | ----------------------SALAQRPGSVSKWVRLNVGGTYFLTTRQTLCRDPKSFLYRLCQADPDLDSDKDETGAYLIDRDPTYFGPVLNYLRHGKLVINKDLAE-EGVLEEAEFYNITSLIKLVKDKIRERDSKTSQ | |||||||||||||
| 7 | 6s4lA1 | 0.32 | 0.25 | 7.63 | 1.73 | FFAS-3D | -----------------------------SMSNAPVHIDVGGHMYTSSLATLTKYPESRIGRLFDGTDPIV-LDSLKQHYFIDRDGQMFRYILNFLRTSKLLIPDDFKDYTLLYEEAKYFQLQPMLLEMERWKQDRETGRFS | |||||||||||||
| 8 | 2z8hA | 0.12 | 0.11 | 3.74 | 1.05 | EigenThreader | PHMSVSESAVFAYESSV-----HSTNVLLSLVLCDVTVLVEGQRFRAHRSVLAACS-SYFHSRIVG-----QTDA---ELTVLVTVKGFEPLIQFAYTAKLILSK--DNVDEVCRCVEFLSVHNIEESCFQFLKFKFLDSTS | |||||||||||||
| 9 | 5bxbA | 0.34 | 0.25 | 7.58 | 1.49 | CNFpred | -------------------------------ANAPVHIDVGGHMYTSSLATLTKYPESRIGRLFDGTEPIVLDS-LKQHYFIDRDGQMFRYILNFLRTSKLLIPDDFKDYTLLYEEAKYFQLQPMLLEMERWKQDRE----- | |||||||||||||
| 10 | 6s4lA | 0.35 | 0.27 | 8.00 | 1.00 | DEthreader | -----------------------------SMSNAPVHIDVGGHMYTSSLATLTKYPESRIGRLFDGTD--PIVLDSKQHYFIDRDGQMFRYILNFLRTSKLLIPDDFKDYTLLYEEAKYFQLQPMLLEMERKQDRETG-RPR | |||||||||||||
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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. |