| >Q8IZU9 (144 residues) MKPFQLDLLFVCFFLFSQELGLQKRGCCLVLGYMAKDKFRRMNEGQVYSFSQQPQDQVVV SGQPVTLLCAIPEYDGFVLWIKDGLALGVGRDLSSYPQYLVVGNHLSGEHHLKILRAELQ DDAVYECQAIQAAIRSRPARLTVL |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MKPFQLDLLFVCFFLFSQELGLQKRGCCLVLGYMAKDKFRRMNEGQVYSFSQQPQDQVVVSGQPVTLLCAIPEYDGFVLWIKDGLALGVGRDLSSYPQYLVVGNHLSGEHHLKILRAELQDDAVYECQAIQAAIRSRPARLTVL |
| Prediction | CCCSSSSHHHHHHHHHHHHCCCCCCCSSSSSSSCCSSSSSSCCCCCCCSSSSCCCCSSSSCCCCSSSSSSSCCCCCSSSSSSCCSSCCCCCCCCCCCCSSSSSCCCCCSSSSSSCCCCHHHCSSSSSSSSCCCCCSSSSSSSSC |
| Confidence | 996033144657878887537888848999974021257753678997599647858995793299999967999779999899722578742457747999727897789999236633477999999928961578999989 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MKPFQLDLLFVCFFLFSQELGLQKRGCCLVLGYMAKDKFRRMNEGQVYSFSQQPQDQVVVSGQPVTLLCAIPEYDGFVLWIKDGLALGVGRDLSSYPQYLVVGNHLSGEHHLKILRAELQDDAVYECQAIQAAIRSRPARLTVL |
| Prediction | 854240100100110124416255322000002333431452567433404440553304345604351407647230202234343244451444432313334643412030450444453543340425634345040426 |
| 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 | CCCSSSSHHHHHHHHHHHHCCCCCCCSSSSSSSCCSSSSSSCCCCCCCSSSSCCCCSSSSCCCCSSSSSSSCCCCCSSSSSSCCSSCCCCCCCCCCCCSSSSSCCCCCSSSSSSCCCCHHHCSSSSSSSSCCCCCSSSSSSSSC MKPFQLDLLFVCFFLFSQELGLQKRGCCLVLGYMAKDKFRRMNEGQVYSFSQQPQDQVVVSGQPVTLLCAIPEYDGFVLWIKDGLALGVGRDLSSYPQYLVVGNHLSGEHHLKILRAELQDDAVYECQAIQAAIRSRPARLTVL | |||||||||||||||||||
| 1 | 5fcsH | 0.14 | 0.13 | 4.49 | 1.17 | DEthreader | ----QAVVTQEPSLTVS------PGGTVTLTCRSVAAALTILTVLGEVQL-VQSGAEVKKPGASVKVSCKASGFSYGISWVRQLEWMGWTNYAQKLGRVTMTTDTSTSTAYMELRSLRSDDTAVYYCATIDFDIWGQGTMVTVS | |||||||||||||
| 2 | 6eg0B1 | 0.15 | 0.10 | 3.52 | 1.60 | FFAS-3D | ------------------------------------------EVIVDPKFSSPIVNMTAPVGRDAFLTCVVQDLGPYKVAWLRVDTQTIQNHVITKNQRIGIANSEHKTWTMRIKDIKESDKGWYMCQINTDPMKSQMGYLDVV | |||||||||||||
| 3 | 2rikA | 0.16 | 0.14 | 4.62 | 1.78 | CNFpred | -----------TATLTVLKVTKAGQYTCYASNVGKDSCSAQLGVQEPPRFIKKLPSRIVKQDEHTRYECKIGGSEIKVLWYKDETEIQE------SSKFRMSFV--ESVAVLEMYNLSVEDSGDYTCEAHNAGSASSSTSLKVK | |||||||||||||
| 4 | 3mj6A | 0.13 | 0.12 | 4.08 | 1.17 | DEthreader | -----------MGCVV-EKH----VDRVDWLFSKDASEYVLFSLVLLLQDVEEPRDLRVRVGDTTQMRCSIQSRVTKVNWMFSEETLSYKFQSLGRNRVDLTGDISRNDGSIKLQTVKESDQGIYTCSIYGKLESRKTIVLHVV | |||||||||||||
| 5 | 6eg0B1 | 0.15 | 0.10 | 3.53 | 0.91 | SPARKS-K | ----------------------------------------PAEVIVDPKFSSPIVNMTAPVGRDAFLTCVVQDGPYKVAWLRVDTQTIQNHVITKNQRIGIANSEHK-TWTMRIKDIKESDKGWYMCQINTDPMKSQMGYLDVV | |||||||||||||
| 6 | 3dmkA | 0.16 | 0.15 | 5.07 | 0.71 | MapAlign | --TCQYTGNPIKTVSWMKDGKAIYQCFVRNDSAEASAELKLGGRFDPPVIRQAFQEETMEPGPSVFLKCVAGGPTPEISWELDGKKI-----AN-NDRYQVGQYVGDVVSYLNITSVHANDGGLYKCIAKSVGVAEHSAKLNVY | |||||||||||||
| 7 | 2r15A | 0.10 | 0.10 | 3.58 | 0.33 | CEthreader | QINEPTPNDKGKYVMELFDGKTGHQKTVDLSGQAYDEAYAAIAEKNRARVLGGLDVVTIQEGKALNLTCNVWGDPPEVSWLKNEKALAQTDH-------CNLKFEAGRTAYFTINGVSTADSGKYGLVVKNYGSETSDFTVSVF | |||||||||||||
| 8 | 4of8A1 | 0.42 | 0.29 | 8.57 | 0.93 | MUSTER | --------------------------------------------YQNQRFAMEPQDQTAVVGARVTLPCRVINKQGTLQWTKDDFGLGTSRDLSGFERYAMVGSDEEGDYSLDIYPVMLDDDARYQCQVSPGPERSTFAGLTVL | |||||||||||||
| 9 | 3p3yA | 0.17 | 0.16 | 5.25 | 0.45 | HHsearch | GGDLPSDKAKFNKALRITNVSEEDSGECLASNKMGSIHTISVRVKAAPYWLDEPKNLILAPGEDGRLVCRANGNPPTVQWMVNGEPLQSAPP---NPNREV------AGDTIIFRDTQISSRAVYQCNTSNEGYLLANAFVSVL | |||||||||||||
| 10 | 4of8A1 | 0.42 | 0.29 | 8.56 | 1.58 | FFAS-3D | ---------------------------------------------QNQRFAMEPQDQTAVVGARVTLPCRVINKQGTLQWTKDDFGLGTSRDLSGFERYAMVGSDEEGDYSLDIYPVMLDDDARYQCQVSPGPERSTFAGLTVL | |||||||||||||
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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. |