| >A8MX76 (140 residues) GGVTMTINLAEAHGNLWDILIEATYNRTLIGCQTHSGEKILENGLVEGHAYTLTGIRKVT CKHRPEYLVKLRNPWGKVEWKGDWSDSSSKWELLSPKEKILLLRKDNDGEFWMTLQDFKT HFVLLVICKLTPGLLSQEAA |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | GGVTMTINLAEAHGNLWDILIEATYNRTLIGCQTHSGEKILENGLVEGHAYTLTGIRKVTCKHRPEYLVKLRNPWGKVEWKGDWSDSSSKWELLSPKEKILLLRKDNDGEFWMTLQDFKTHFVLLVICKLTPGLLSQEAA |
| Prediction | CCCCSSSSCCCCHHHHHHHHHHHHCCCCSSSSSCCCCCCCCCCCCCCCCCSSSSSSSSSSCCCCCSSSSSSSCCCCCCSSCCCCCCCCCCCCCCCHHHHHHCCCCCCCCSSSSSHHHHHHHCCSSSSSSSCCCCCCCCCC |
| Confidence | 99456998669916999999998213977998527986412279868852587337999528986899999789998623488877776666689999974895668956998899998536769999737421255789 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | GGVTMTINLAEAHGNLWDILIEATYNRTLIGCQTHSGEKILENGLVEGHAYTLTGIRKVTCKHRPEYLVKLRNPWGKVEWKGDWSDSSSKWELLSPKEKILLLRKDNDGEFWMTLQDFKTHFVLLVICKLTPGLLSQEAA |
| Prediction | 84341403055546401520261274410000012344443441026300000020240426754220020210345341415236446415514552464326554422010204301421430100203243256578 |
| 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 | CCCCSSSSCCCCHHHHHHHHHHHHCCCCSSSSSCCCCCCCCCCCCCCCCCSSSSSSSSSSCCCCCSSSSSSSCCCCCCSSCCCCCCCCCCCCCCCHHHHHHCCCCCCCCSSSSSHHHHHHHCCSSSSSSSCCCCCCCCCC GGVTMTINLAEAHGNLWDILIEATYNRTLIGCQTHSGEKILENGLVEGHAYTLTGIRKVTCKHRPEYLVKLRNPWGKVEWKGDWSDSSSKWELLSPKEKILLLRKDNDGEFWMTLQDFKTHFVLLVICKLTPGLLSQEAA | |||||||||||||||||||
| 1 | 2p0rA | 0.44 | 0.41 | 11.93 | 1.33 | DEthreader | EGVAETFQTKEAPENFYEILEKALKRGSLLGCFIDTREARTPFGLIKGHAYSVTGIDQVSFRGQRIELIRIRNPWGQVEWNGSWSDSSPEWRSVGPAEQRLCHTALDDGEFWMAFKDFKAHFDKVEICNLT--------- | |||||||||||||
| 2 | 2p0rA2 | 0.43 | 0.40 | 11.72 | 3.06 | SPARKS-K | --VAETFQTKEAPENFYEILEKALKRGSLLGCFIDTSEARTPFGLIKGHAYSVTGIDQVSFRGQRIELIRIRNPWGQVEWNGSWSDSSPEWRSVGPAEQKRLHTALDDGEFWMAFKDFKAHFDKVEICNLT--------- | |||||||||||||
| 3 | 2p0rA | 0.44 | 0.41 | 11.93 | 1.26 | MapAlign | TGVAETFQTKEAPENFYEILEKALKRGSLLGCFIDESEARTPFGLIKGHAYSVTGIDQVSFRGQRIELIRIRNPWGQVEWNGSWSDSSPEWRSVGPAEQKLCHTALDDGEFWMAFKDFKAHFDKVEICNLT--------- | |||||||||||||
| 4 | 6p3qA | 0.35 | 0.34 | 10.24 | 1.38 | CEthreader | GGVSEPIDLTEGRNQLFERMLKVHSRGGLISASIKDMEARLACGLVKGHAYAVTDVRKVRLGSEKLDMIRLRNPWGEREWNGPWSDTSEEWQKVSSEREKMGVTVQDDGEFWMTFEDVCRYFTDIIKCRVILENLYF--- | |||||||||||||
| 5 | 6bdtA | 0.40 | 0.38 | 11.17 | 2.20 | MUSTER | GGVAEFFEIRDAPSDMYKIMKKAIERGSLMGCSIDDGTTRMACGLVRGHAYSVTGLDEVPFKGEKVKLVRLRNPWGQVEWNGSWSDRWKDWSFVDDEKARLQHQVTEDGEFWMSYEDFIYHFTKLEICNLTAD------- | |||||||||||||
| 6 | 1kfuL | 0.38 | 0.38 | 11.21 | 3.55 | HHsearch | GGIAEWYELKKPPPNLFKIIQKALQKGSLLGCSIDITEAITFQKLVKGHAYSVTGAEEVESNGSLQKLIRIRNPWGEVEWTGRWNDNCPSWNTIDPEERELTR-RHEDGEFWMSFSDFLRHYSRLEICNLTPDTLTSDTY | |||||||||||||
| 7 | 6bdtA2 | 0.39 | 0.36 | 10.77 | 2.26 | FFAS-3D | --VAEFFEIRDAPSDMYKIMKKAIERGSLMGCSIDDGTTRMACGLVRGHAYSVTGLDEVPFKGEKVKLVRLRNPWGQVEWNGSWSDRWKDWSFVDKDKARLQHQVTEDGEFWMSYEDFIYHFTKLEICNLTAD------- | |||||||||||||
| 8 | 6bdtA | 0.41 | 0.39 | 11.56 | 1.42 | EigenThreader | GGVAEFFEIRDAPSDMYKIMKKAIERGSLMGCSIDDGTTRMACGLVRGHAYSVTGLDEVPFKGEKVKLVRLRNPWGQVEWNGSWSDRWKDWSFVDKDEKARLHQVTEDGEFWMSYEDFIYHFTKLEICNLTAD------- | |||||||||||||
| 9 | 3bowA | 0.37 | 0.36 | 10.83 | 2.74 | CNFpred | GGIAEWYELRKPPPNLFKIIQKALEKGSLLGCSIDI-EAVTYQKLVKGHAYSVTGAEEVESSGSLQKLIRIRNPWGQVEWTGKWNDNCPSWNTVDPEVRANLTERQEDGEFWMSFSDFLRHYSRLEICNLTPDTLTCDSY | |||||||||||||
| 10 | 6bdtA | 0.42 | 0.39 | 11.34 | 1.33 | DEthreader | EGVAEFFEIRDAPSDMYKIMKKAIERGSLMGCSIDDG--RMACGLVRGHAYSVTGLDEVPFKGEKVKLVRLRNPWGQVEWNGSWSDRWKDWSFVDKDEKALQHQVTEDGEFWMSYEDFIYHFTKLEICNLT--------- | |||||||||||||
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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. |