| >Q53GT1 (147 residues) MAEEQEFTQLCKLPAQPSHPHCVNNTYRSAQHSQALLRGLLALRDSGILFDVVLVVEGRH IEAHRILLAASCDYFRGMFAGGLKEMEQEEVLIHGVSYNAMCQILHFIYTSELELSLSNV QETLVAACQLQIPEIIHFCCDFLMSWV |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAEEQEFTQLCKLPAQPSHPHCVNNTYRSAQHSQALLRGLLALRDSGILFDVVLVVEGRHIEAHRILLAASCDYFRGMFAGGLKEMEQEEVLIHGVSYNAMCQILHFIYTSELELSLSNVQETLVAACQLQIPEIIHFCCDFLMSWV |
| Prediction | CCCCCCCCCCCCCCCCCCCCCCCCCCSCCCHHHHHHHHHHHHHHHHCCCSSSSSSSCCSSSSSHHHHHHHCCHHHHHHHCCCCCCCCCCSSSSCCCCHHHHHHHHHHHSCCSSSSCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHC |
| Confidence | 998888887778888888888887544482799999999999996195610799999999984133466627899999719973236988982898989999999986122487288899999999987588899999999999849 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MAEEQEFTQLCKLPAQPSHPHCVNNTYRSAQHSQALLRGLLALRDSGILFDVVLVVEGRHIEAHRILLAASCDYFRGMFAGGLKEMEQEEVLIHGVSYNAMCQILHFIYTSELELSLSNVQETLVAACQLQIPEIIHFCCDFLMSWV |
| Prediction | 855586456447455545665446551436610440053045116663001000204755040010000010413321135525547554040660427004300410121404044720330140033040550262016105748 |
| 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 | CCCCCCCCCCCCCCCCCCCCCCCCCCSCCCHHHHHHHHHHHHHHHHCCCSSSSSSSCCSSSSSHHHHHHHCCHHHHHHHCCCCCCCCCCSSSSCCCCHHHHHHHHHHHSCCSSSSCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHC MAEEQEFTQLCKLPAQPSHPHCVNNTYRSAQHSQALLRGLLALRDSGILFDVVLVVEGRHIEAHRILLAASCDYFRGMFAGGLKEMEQEEVLIHGVSYNAMCQILHFIYTSELELSLSNVQETLVAACQLQIPEIIHFCCDFLMSWV | |||||||||||||||||||
| 1 | 3bimA | 0.26 | 0.21 | 6.52 | 1.33 | DEthreader | ----------------------SQI-Q-FTRHASDVLLNLNRLRSRDILTDVVIVVSREQFRAHKTVLMACSGLFYSIFTDQ-LKRNLSVINLDEINPEGFNILLDFMYTSRLNLREGNIMAVMATAMYLQMEHVVDTCRKFI-KAS | |||||||||||||
| 2 | 6w66C | 0.30 | 0.25 | 7.65 | 1.83 | SPARKS-K | ----------------------RTFSYTLEDHTKQAAGIMNELRLSQQLCDVTLQVKAAQFMAHKVVLASSSPVFKAMFTNGLREQGMEVVSIEGIHPKVMERLIEFAYTASISMGEKCVLHVMNGAVMYQIDSVVRACADFLVQQL | |||||||||||||
| 3 | 6w66C | 0.31 | 0.25 | 7.62 | 1.03 | MapAlign | -------------------------SYTLEDHTKQAAGIMNELRLSQQLCDVTLQVKYAQFMAHKVVLASSSPVFKAMFTNGLREQGMEVVSIEGIHPKVMERLIEFAYTASISMGEKCVLHVMNGAVMYQIDSVVRACADFLVQQ- | |||||||||||||
| 4 | 6w66C | 0.30 | 0.25 | 7.65 | 0.79 | CEthreader | ----------------------RTFSYTLEDHTKQAAGIMNELRLSQQLCDVTLQVKYAQFMAHKVVLASSSPVFKAMFTNGLREQGMEVVSIEGIHPKVMERLIEFAYTASISMGEKCVLHVMNGAVMYQIDSVVRACADFLVQQL | |||||||||||||
| 5 | 4u2mA | 0.26 | 0.26 | 7.97 | 1.42 | MUSTER | VATFLQMQDIITAHALKSLAGTADSCIQFTRHASDVLLNLNRLRSRDILTDVVIVVSREQFRAHKTVLMACSGLFYSIFTDQLKCNLSVINLDPEINPEGFCILLDFMYTSRLNLREGNIMAVMATAMYLQMEHVVDTCRKFIKA-- | |||||||||||||
| 6 | 3i3nB | 0.25 | 0.21 | 6.54 | 1.91 | HHsearch | ---------------------SEAEDFECSSHCSELSWRQNEQRRQGLFCDITLCFGGREFRAHRSVLAAATEYFTPLLSGQFSESRSGRVERKGPEPDTVEAVIEY-YTGRIRVSTGSVHEVLELADRFLLIRLKEFCGEFLKKKL | |||||||||||||
| 7 | 4cxiA | 0.30 | 0.25 | 7.65 | 2.26 | FFAS-3D | ----------------------RTFSYTLEDHTKQAFGIMNELRLSQQLCDVTLQVKAAQFMAHKVVLASSSPVFKAMFTNGLREQGMEVVSIEGIHPKVMERLIEFAYTASISMGEKCVLHVMNGAVMYQIDSVVRACADFLVQQL | |||||||||||||
| 8 | 4u2mA | 0.25 | 0.24 | 7.59 | 1.28 | EigenThreader | AAGFMYTAKLSLSPENVDDVLAVATFLQMTRHASDVLLNLNRLRSRDILTDVVIVVSREQFRAHKTVLMACSGLFYSIFT-DQLKCNLSVINLPEINPEGFCILLDFMYTSRLNLREGNIMAVMATAMYLQMEHVVDTCRKFIKA-- | |||||||||||||
| 9 | 6i2mA | 0.25 | 0.20 | 6.31 | 1.22 | CNFpred | -----------------------------MNNSSELIAVINGFRNSGRFCDISIVINDERINAHKLILSGASEYFSILFSNNFIDSNEYEVNLSHLDYQSVNDLIDYIYGIPLSLTNDNVKYILSTADFLQIGSAITECENYILKNL | |||||||||||||
| 10 | 4u2mA | 0.27 | 0.22 | 6.69 | 1.33 | DEthreader | -----------------------AKIQFT-RHASDVLLNLNRLRSRDILTDVVIVVSREQFRAHKTVLMACSGLFYSIFTDQ-LKCNLSVINLDEINPEGFCILLDFMYTSRLNLREGNIMAVMATAMYLQMEHVVDTCRKFIKA-- | |||||||||||||
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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. |