| >Q8WW35 (142 residues) MATSIGVSFSVGDGVPEAEKNAGEPENTYILRPVFQQRFRPSVVKDCIHAVLKEELANAE YSPEEMPQLTKHLSENIKDKLKEMGFDRYKMVVQVVIGEQRGEGVFMASRCFWDADTDNY THDVFMNDSLFCVVAAFGCFYY |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MATSIGVSFSVGDGVPEAEKNAGEPENTYILRPVFQQRFRPSVVKDCIHAVLKEELANAEYSPEEMPQLTKHLSENIKDKLKEMGFDRYKMVVQVVIGEQRGEGVFMASRCFWDADTDNYTHDVFMNDSLFCVVAAFGCFYY |
| Prediction | CCCCCCCSSCCCCCCCCCCCCCCCCCCCSSSCCCCCCCCCHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHHCCCCSSSSSSSSSSSSCCCCSSSSSSSSSCCCCCCSSSSSSSCCCSSSSSSSSSSSSC |
| Confidence | 9856430002578997654456788872552579999889899999999999999737755879999999999999999999729998489999999970697357776657549989669999993989999999988869 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MATSIGVSFSVGDGVPEAEKNAGEPENTYILRPVFQQRFRPSVVKDCIHAVLKEELANAEYSPEEMPQLTKHLSENIKDKLKEMGFDRYKMVVQVVIGEQRGEGVFMASRCFWDADTDNYTHDVFMNDSLFCVVAAFGCFYY |
| Prediction | 7434433231445434447655453432142324475514274045004500563067451445404500430052026204726263110002010124443103200101114631210103043420000000111134 |
| 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 | CCCCCCCSSCCCCCCCCCCCCCCCCCCCSSSCCCCCCCCCHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHHCCCCSSSSSSSSSSSSCCCCSSSSSSSSSCCCCCCSSSSSSSCCCSSSSSSSSSSSSC MATSIGVSFSVGDGVPEAEKNAGEPENTYILRPVFQQRFRPSVVKDCIHAVLKEELANAEYSPEEMPQLTKHLSENIKDKLKEMGFDRYKMVVQVVIGEQRGEGVFMASRCFWDADTDNYTHDVFMNDSLFCVVAAFGCFYY | |||||||||||||||||||
| 1 | 6zywN | 0.34 | 0.26 | 7.80 | 1.17 | DEthreader | ---------------------------------YIKNRFYPSKIQKIIKELFEDRLKGVEYDPNNANQLSERLVLELREKIKRGKVPRYKIGVQVVFGEIKGQGLRIASKCLWDVQNDNYASYTYTSEKVYCTGIVFGCYFE | |||||||||||||
| 2 | 5hxlA | 0.16 | 0.13 | 4.21 | 2.08 | SPARKS-K | ---------------------------HHSMAAQGPSPIPTNRLKQIAADACNDAIGSAEYDHAKTEQWNHQIINTILKAVIAESQPQFKFAVNSTIVQHLG--MHSATGAFWNDKTDGMWTYKHEGDGMDVVVMLIWIAV- | |||||||||||||
| 3 | 1ygtA | 0.25 | 0.18 | 5.46 | 1.37 | MapAlign | ----------------------------------------VDDVSKTIKEAIETTIGGNAYQHDKVNNWTGQVVENCLTVLTKEQK-PYKYIVTAMIMQKNGAGLHTASSCYWNNDTDGSCTVRWENKTMYCIVSVFGLAV- | |||||||||||||
| 4 | 1ygtA | 0.25 | 0.18 | 5.68 | 1.33 | CEthreader | ------------------------------------SQFIVDDVSKTIKEAIETTIGGNAYQHDKVNNWTGQVVENCLTVLTKEQK-PYKYIVTAMIMQKNGAGLHTASSCYWNNDTDGSCTVRWENKTMYCIVSVFGLAV- | |||||||||||||
| 5 | 1xdxA | 0.25 | 0.20 | 6.32 | 2.51 | MUSTER | ------------------------MEGVDPAVE--EAAFVADDVSNIIKESIDAVLQNQQYSEAKVSQWTSSCLEHCIKRLTALN-KPFKYVVTCIIMQKNGAGLHTAASCWWDSTTDGSRTVRWENKSMYCICTVFGLAI- | |||||||||||||
| 6 | 5jpwA | 0.25 | 0.20 | 6.33 | 3.48 | HHsearch | -----------------------GSMEDYQAAEE--TAFVVDEVSNIVKEAIESAIGGNAYQHSKVNQWTTNVVEQTLSQLTKLGK-PFKYIVTCVIMQKNGAGLHTASSCFWDSSTDGSCTVRWENKTMYCIVSAFGLSIG | |||||||||||||
| 7 | 1xdxA | 0.25 | 0.20 | 6.32 | 1.53 | FFAS-3D | ------------------------MEGVDPAVE--EAAFVADDVSNIIKESIDAVLQNQQYSEAKVSQWTSSCLEHCIKRLTALN-KPFKYVVTCIIMQKNGAGLHTAASCWWDSTTDGSRTVRWENKSMYCICTVFGLAI- | |||||||||||||
| 8 | 6zywN | 0.34 | 0.26 | 7.80 | 1.15 | EigenThreader | -----------------------------YIKN----RFYPSKIQKIIKELFEDRLKGVEYDPNNANQLSERLVLELREKIKRGKVPRYKIGVQVVFGEIKGQGLRIASKCLWDVQNDNYASYTYTSEKVYCTGIVFGCYFE | |||||||||||||
| 9 | 5wi4A | 0.24 | 0.18 | 5.48 | 1.26 | CNFpred | -----------------------------------ETAFVVDEVSSIVKEAIESAIGGNAYQHSKVNQWTTNVLEQTLSQLTKL-GRPFKYIVTCVIMQKN--GLHSASSCFWDSSTDGSCTVRWENKTMYCIVSTFGLSI- | |||||||||||||
| 10 | 1ygtA | 0.25 | 0.18 | 5.46 | 1.00 | DEthreader | ----------------------------------------VDDVSKTIKEAIETTIGGNAYQHDKVNNWTGQVVENCLTVLTK-EQKPYKYIVTAMIMQKNGAGLHTASSCYWNNDTDGSCTVRWENKTMYCIVSVFGLAV- | |||||||||||||
| ||||||||||||||||||||
|
Top 10 structural analogs in PDB (as identified by
TM-align)
|
|
Top 5 enzyme homologs in PDB
|
Template proteins with similar binding site:
|
| 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. |