| >Q9UNK4 (145 residues) MELALLCGLVVMAGVIPIQGGILNLNKMVKQVTGKMPILSYWPYGCHCGLGGRGQPKDAT DWCCQTHDCCYDHLKTQGCSIYKDYYRYNFSQGNIHCSDKGSWCEQQLCACDKEVAFCLK RNLDTYQKRLRFYWRPHCRGQTPGC |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MELALLCGLVVMAGVIPIQGGILNLNKMVKQVTGKMPILSYWPYGCHCGLGGRGQPKDATDWCCQTHDCCYDHLKTQGCSIYKDYYRYNFSQGNIHCSDKGSWCEQQLCACDKEVAFCLKRNLDTYQKRLRFYWRPHCRGQTPGC |
| Prediction | CCHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHCCCCCHHHHCCCCCCCCCCCCCCCCCCCCHHHHHCHHHHHHHHHCCCCSSSSSSSSSSSCCSSSSCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCHHHCCCCHHHCCCCCCCC |
| Confidence | 9179999999998147888758999999997439984789703387877899899888751446601689999986299713400479998995796899882489998522999999998421107655479812168999999 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MELALLCGLVVMAGVIPIQGGILNLNKMVKQVTGKMPILSYWPYGCHCGLGGRGQPKDATDWCCQTHDCCYDHLKTQGCSIYKDYYRYNFSQGNIHCSDKGSWCEQQLCACDKEVAFCLKRNLDTYQKRLRFYWRPHCRGQTPGC |
| Prediction | 4310011002111223434311220340043124441243023000000313434335432400441540152067571414244230404644020436444034200400340041036236423561432346406565588 |
| 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 | CCHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHCCCCCHHHHCCCCCCCCCCCCCCCCCCCCHHHHHCHHHHHHHHHCCCCSSSSSSSSSSSCCSSSSCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCHHHCCCCHHHCCCCCCCC MELALLCGLVVMAGVIPIQGGILNLNKMVKQVTGKMPILSYWPYGCHCGLGGRGQPKDATDWCCQTHDCCYDHLKTQGCSIYKDYYRYNFSQGNIHCSDKGSWCEQQLCACDKEVAFCLKRNLDTYQKRLRFYWRPHCRGQTPGC | |||||||||||||||||||
| 1 | 1n29A | 0.50 | 0.42 | 12.21 | 1.17 | DEthreader | -------------------AL-VNFHRMIKLTT-GKEALSYGFYGCHCGVGGRGSPKDATDRCCVTHDCCYKRLEKRGCGTKFLSYKFSNSGSRITCA-KQDSCRSQLCECDKAAATCFARNKTTYNKKYQYYSNKHCRGSTPRC | |||||||||||||
| 2 | 1n29A | 0.51 | 0.43 | 12.59 | 4.23 | SPARKS-K | --------------------ALVNFHRMIKLTTGKEAALSYGFYGCHCGVGGRGSPKDATDRCCVTHDCCYKRLEKRGCGTKFLSYKFSNSGSRITCA-KQDSCRSQLCECDKAAATCFARNKTTYNKKYQYYSNKHCRGSTPRC | |||||||||||||
| 3 | 1le6A | 0.42 | 0.35 | 10.34 | 1.24 | MapAlign | --------------------GILELAGTVGCVGPRTPI-AYMKYGCFCGLGGHGQPRDAIDWCCHGHDCCYTRAEEAGCSPKTERYSWQCVNQSVLCGPAENKCQELLCKCDQEIANCLAQT--EYNLKYLFYPQFLCEPDSPKC | |||||||||||||
| 4 | 1le6A | 0.40 | 0.34 | 9.97 | 0.95 | CEthreader | --------------------GILELAGTVGCVGPRT-PIAYMKYGCFCGLGGHGQPRDAIDWCCHGHDCCYTRAEEAGCSPKTERYSWQCVNQSVLCGPAENKCQELLCKCDQEIANCLAQT--EYNLKYLFYPQFLCEPDSPKC | |||||||||||||
| 5 | 1n29A | 0.50 | 0.43 | 12.40 | 3.35 | MUSTER | --------------------ALVNFHRMIKLTTGKEAALSYGFYGCHCGVGGRGSPKDATDRCCVTHDCCYKRLEKRGCGTKFLSYKFSNSGSRITCAK-QDSCRSQLCECDKAAATCFARNKTTYNKKYQYYSNKHCRGSTPRC | |||||||||||||
| 6 | 1n29A | 0.51 | 0.43 | 12.59 | 2.15 | HHsearch | --------------------ALVNFHRMIKLTTGKEAALSYGFYGCHCGVGGRGSPKDATDRCCVTHDCCYKRLEKRGCGTKFLSYKFSNSGSRITCA-KQDSCRSQLCECDKAAATCFARNKTTYNKKYQYYSNKHCRGSTPRC | |||||||||||||
| 7 | 1n29A | 0.50 | 0.43 | 12.40 | 1.99 | FFAS-3D | --------------------ALVNFHRMIKLTTGKEAALSYGFYGCHCGVGGRGSPKDATDRCCVTHDCCYKRLEKRGCGTKFLSYKFSNSGSRITCAK-QDSCRSQLCECDKAAATCFARNKTTYNKKYQYYSNKHCRGSTPRC | |||||||||||||
| 8 | 1n29A | 0.50 | 0.43 | 12.40 | 1.37 | EigenThreader | --------------------ALVNFHRMIKLTTGKEAALSYGFYGCHCGVGGRGSPKDATDRCCVTHDCCYKRLEKRGCGTKFLSYKFSNSGSRITCAKQD-SCRSQLCECDKAAATCFARNKTTYNKKYQYYSNKHCRGSTPRC | |||||||||||||
| 9 | 5g3nA | 0.50 | 0.43 | 12.40 | 2.55 | CNFpred | --------------------ALVNFHRMIKLTTGKEAALSYGFYGCHCGVGGRGSPKDATDRCCVTHDCCYKRLEKRGCGTKFLSYKFSNSGSRISCAKQ-DSCRSQLCECDKAAATCFARNKTTYNKKYQYYSNKHCRGSTPRC | |||||||||||||
| 10 | 2oqdA | 0.43 | 0.36 | 10.51 | 1.17 | DEthreader | -------------------DL-WQFGQMILKET-GKLPPYYTTYGCYCG-GGQGQPKDATDRCCFVHDCCYGKLT--NCKPKTDRYSYSRENGVIICG-EGTPCEKQICECDKAAAVCFRENLRTYKKRYMAYPDVLCKKPAEKC | |||||||||||||
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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. |