| >Q9UKQ9 (250 residues) MKLGLLCALLSLLAGHGWADTRAIGAEECRPNSQPWQAGLFHLTRLFCGATLISDRWLLT AAHCRKPYLWVRLGEHHLWKWEGPEQLFRVTDFFPHPGFNKDLSANDHNDDIMLIRLPRQ ARLSPAVQPLNLSQTCVSPGMQCLISGWGAVSSPKALFPVTLQCANISILENKLCHWAYP GHISDSMLCAGLWEGGRGSCQGDSGGPLVCNGTLAGVVSGGAEPCSRPRRPAVYTSVCHY LDWIQEIMEN |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MKLGLLCALLSLLAGHGWADTRAIGAEECRPNSQPWQAGLFHLTRLFCGATLISDRWLLTAAHCRKPYLWVRLGEHHLWKWEGPEQLFRVTDFFPHPGFNKDLSANDHNDDIMLIRLPRQARLSPAVQPLNLSQTCVSPGMQCLISGWGAVSSPKALFPVTLQCANISILENKLCHWAYPGHISDSMLCAGLWEGGRGSCQGDSGGPLVCNGTLAGVVSGGAEPCSRPRRPAVYTSVCHYLDWIQEIMEN |
| Prediction | CHHHHHHHHHHHHCCCCCCCCCSSCCSSCCCCCCCCSSSSSSCCSSSSSSSSCCCCSSSSCCCCCCCCSSSSSCCCSCCCCCCCSSSSSSSSSSSCCCCCCCCCCCCCCCCSSSSSSCCCCCCCCCSSSCSCCCCCCCCCCSSSSSCCCSCCCCCCCCCCCCSSSSSSSCCHHHHHHHCCCCCCCCSSSSCCCCCCCSCCCCCCCCCSSSCCSSSSSSSSCCCCCCCCCCCSSSSSHHHHHHHHHHHHCC |
| Confidence | 9258999999986158888993359855899997529999979938987799029989992121589469998101578889982999866999797999765678877615999748877588984325296999988528999728132799988998566998564389999987299999985752258898628688898944379999999931899999999980776535768999999739 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | MKLGLLCALLSLLAGHGWADTRAIGAEECRPNSQPWQAGLFHLTRLFCGATLISDRWLLTAAHCRKPYLWVRLGEHHLWKWEGPEQLFRVTDFFPHPGFNKDLSANDHNDDIMLIRLPRQARLSPAVQPLNLSQTCVSPGMQCLISGWGAVSSPKALFPVTLQCANISILENKLCHWAYPGHISDSMLCAGLWEGGRGSCQGDSGGPLVCNGTLAGVVSGGAEPCSRPRRPAVYTSVCHYLDWIQEIMEN |
| Prediction | 3302010101000003235641003244054321110002135640110105437420000011345402010011115445644131305400302403464354423100030256340512630321141675165434230144130447644324231305030134730562174403620000024723410325413420104330000003334212447311040430412723463268 |
| Values range from 0 (buried residue) to 8 (highly exposed residue) | |
| Rank | PDB hit | ID1 | ID2 | Cov | Norm. Zscore | Downloadalignment | 20 40 60 80 100 120 140 160 180 200 220 240 | | | | | | | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CHHHHHHHHHHHHCCCCCCCCCSSCCSSCCCCCCCCSSSSSSCCSSSSSSSSCCCCSSSSCCCCCCCCSSSSSCCCSCCCCCCCSSSSSSSSSSSCCCCCCCCCCCCCCCCSSSSSSCCCCCCCCCSSSCSCCCCCCCCCCSSSSSCCCSCCCCCCCCCCCCSSSSSSSCCHHHHHHHCCCCCCCCSSSSCCCCCCCSCCCCCCCCCSSSCCSSSSSSSSCCCCCCCCCCCSSSSSHHHHHHHHHHHHCC MKLGLLCALLSLLAGHGWADTRAIGAEECRPNSQPWQAGLFHLTRLFCGATLISDRWLLTAAHCRKPYLWVRLGEHHLWKWEGPEQLFRVTDFFPHPGFNKDLSANDHNDDIMLIRLPRQARLSPAVQPLNLSQTCVSPGMQCLISGWGAVSSPKALFPVTLQCANISILENKLCHWAYPGHISDSMLCAGLWEGGRGSCQGDSGGPLVCNGTLAGVVSGGAEPCSRPRRPAVYTSVCHYLDWIQEIMEN | |||||||||||||||||||
| 1 | 1spjA | 0.42 | 0.38 | 11.17 | 1.33 | DEthreader | ----------------------IVGGWECEQHSQPWQAALYHFSTFQCGGILVHRQWVLTAAHCISDNYQLWLGRHNLFDDENTAQFVHVSESFPHPGFNMSLADEDYSHDLMLLRLTEPADTTDAVKVVELPTEEPEVGSTCLASGWGSIEPENFSFPDDLQCVDLKILPNDECKKAHVQKVTDFMLCVGHLEGGKDTCVGDSGGPLMCDGVLQGVTSWGYVPCGTPNKPSVAVRVLSYVKWIEDTIAE | |||||||||||||
| 2 | 1spjA | 0.41 | 0.38 | 11.06 | 2.59 | SPARKS-K | ----------------------IVGGWECEQHSQPWQAALYHFSTFQCGGILVHRQWVLTAAHCISDNYQLWLGRHNLFDDENTAQFVHVSESFPHPGFNNRQADEDYSHDLMLLRLTEPADTTDAVKVVELPTEEPEVGSTCLASGWGSIEPENFSFPDDLQCVDLKILPNDECKKAHVQKVTDFMLCVGHLEGGKDTCVGDSGGPLMCDGVLQGVTSWGYVPCGTPNKPSVAVRVLSYVKWIEDTIAE | |||||||||||||
| 3 | 2a7jA | 0.35 | 0.32 | 9.42 | 0.66 | MapAlign | ----------------------VVGGTEAQRNSWPSQISLQYRWAHTCGGTLIRQNWVMTAAHCVELTFRVVVGEHNLNQNDGTEQYVGVQKIVVHPYWN--TDDVAAGYDIALLRLAQSVTLNSYVQLGVLPGTILANNSPCYITGWGLTRT-NGQLAQTLQQAYLPTVDYAICSSYWGSTVKNSMVCAGGD-GVRSGCQGDSGGPLHCLYAVHGVTSFVSLGCNVTRKPTVFTRVSAYISWINNVIA- | |||||||||||||
| 4 | 2a7jA | 0.36 | 0.32 | 9.54 | 0.39 | CEthreader | ----------------------VVGGTEAQRNSWPSQISLQYRSGHTCGGTLIRQNWVMTAAHCVDLTFRVVVGEHNLNQNDGTEQYVGVQKIVVHPYWNTDDV--AAGYDIALLRLAQSVTLNSYVQLGVLPGTILANNSPCYITGWGLTRT-NGQLAQTLQQAYLPTVDYAICSSYWGSTVKNSMVCAGGD-GVRSGCQGDSGGPLHCLVAVHGVTSFVSLGCNVTRKPTVFTRVSAYISWINNVIAS | |||||||||||||
| 5 | 1npmA | 0.49 | 0.44 | 12.77 | 2.19 | MUSTER | ----------------------ILEGRECIPHSQPWQAALFQGERLICGGVLVGDRWVLTAAHCKKQKYSVRLGDHSLQ--SQPEQEIQVAQSIQHPCYNNS-NPEDHSHDIMLIRLQNSANLGDKVKPVQLANLCPKVGQKCIISGWGTVTSPQENFPNTLNCAEVKIYSQNKCERAYPGKITEGMVCAGS-SNGADTCQGDSGGPLVCDGMLQGITSWGSDPCGKPEKPGVYTKICRYTTWIKKTMD- | |||||||||||||
| 6 | 6esoA | 0.31 | 0.30 | 8.95 | 1.48 | HHsearch | LRLSMDGSPIAGTQGSSGYSLRIVGGTNSSWGEWPWQVSLQVKQRHLCGGSLIGHQWVLTAAHCFDGLWRIYSGILNLSDITKDTPFSQIKEIIIHQNYKVS----EGNHDIALIKLQAPLNYTEFQKPICLPSKGSTIYTNCWVTGWGFSKEKG-EIQNILQKVNIPLVTNEECQKRYQDKITQRMVCA----GGKDACKGDSGGPLVCKHRLVGITSWGE-GCARREQPGVYTKVAEYMDWILEKTQS | |||||||||||||
| 7 | 2zchP | 0.41 | 0.37 | 10.96 | 3.11 | FFAS-3D | ----------------------IVGGWECEKHSQPWQVLVASRGRAVCGGVLVHPQWVLTAAHCIRNKSVILLGRHSLFHPEDTGQVFQVSHSFPHPLYRFLRPGDDSSHDLMLLRLSEPAELTDAVKVMDLPTQEPALGTTCYASGWGSIEPEEFLTPKKLQCVDLHVISNDVCAQVHPQKVTKFMLCAGRWTGGKSTCSGDSGGPLVCNGVLQGITSWGSEPCALPERPSLYTKVVHYRKWIKDTIVA | |||||||||||||
| 8 | 1z8gA | 0.29 | 0.29 | 8.76 | 0.92 | EigenThreader | RSNARVAGLSCEEMGFLRRKLPIVGGRDTSLGRWPWQVSLRYDGAHLCGGSLLSGDWVLTAAHCFPERNRVFAGAVAQA--SPHGLQLGAVVYHGGYLPFRDPNSEENSNDIALVHLSSPLPLTEYIQPVCLPAQALVDGKICTVTGWGNTQY-YGQQAGVLQEARVPIISNDVCNGFYGNQIKPKMFCAGYPEGGIDACQGDSGGPFVCSISLCGIVSWGT-GCALAQKPGVYTKVSDFREWIFQAIKT | |||||||||||||
| 9 | 4nfeA | 0.44 | 0.39 | 11.48 | 4.69 | CNFpred | ----------------------IVGGWECEKHSQPWQVAVYSHGWAHCGGVLVHPQWVLTAAHCLKKNSQVWLGRHNLFEPEDTGQRVPVSHSFPHPLYNMSL---DSSHDLMLLRLSEPAKITDVVKVLGLPTQEPALGTTCYASGWGSIEPEEFLRPRSLQCVSLHLLSNDMCARAYSEKVTEFMLCAGLWTGGKDTCGGDSGGPLVCNGVLQGITSWGPEPCALPEKPAVYTKVVHYRKWIKDTIAA | |||||||||||||
| 10 | 2zchP | 0.41 | 0.38 | 11.06 | 1.33 | DEthreader | ----------------------IVGGWECEKHSQPWQVLVASRGRAVCGGVLVHPQWVLTAAHCIRNKSVILLGRHSLFHPEDTGQVFQVSHSFPHPLYDMSLPGDDSSHDLMLLRLSEPAELTDAVKVMDLPTQEPALGTTCYASGWGSIEPEEFLTPKKLQCVDLHVISNDVCAQVHPQKVTKFMLCAGRWTGGKSTCSGDSGGPLVCNGVLQGITSWGSEPCALPERPSLYTKVVHYRKWIKDTIVA | |||||||||||||
| ||||||||||||||||||||
|
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. |