| >A6NC05 (138 residues) MLWFQGNSMQLARSSFGLFLRNCSASKTTLPVLTLFTKDPCPLCDEAKEVLKPYENRQPY KDQKLPGTRRRRSPSSPSHPHMASQSGKRYNLTLNQVLSFDYDMGLDAPKTISSDCGAFY CLRMFKSPDMTCCFYPKQ |
| Sequence |
20 40 60 80 100 120 | | | | | | MLWFQGNSMQLARSSFGLFLRNCSASKTTLPVLTLFTKDPCPLCDEAKEVLKPYENRQPYKDQKLPGTRRRRSPSSPSHPHMASQSGKRYNLTLNQVLSFDYDMGLDAPKTISSDCGAFYCLRMFKSPDMTCCFYPKQ |
| Prediction | CSSSSCCCSSSSSCHHHHHHHHHHHHCCCCCSSSSSSCCCCCHHHHHHHHHHHHCCCCSSSSSCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSHHHSSSSCCCCCCCCCCCCCCCCCHHHHHHHHCCCCCCSSSCCCC |
| Confidence | 923525604443201577899876405789658986279972579999999852266223540388852236999999952010258435456222132111247788743134552333334526998513403689 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 | | | | | | MLWFQGNSMQLARSSFGLFLRNCSASKTTLPVLTLFTKDPCPLCDEAKEVLKPYENRQPYKDQKLPGTRRRRSPSSPSHPHMASQSGKRYNLTLNQVLSFDYDMGLDAPKTISSDCGAFYCLRMFKSPDMTCCFYPKQ |
| Prediction | 332034432432424232124313435531110102054204206504630561474140431534755556557446344334654542412143014142523252354045412121003115435120122368 |
| 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 | | | | | | | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SS Seq | CSSSSCCCSSSSSCHHHHHHHHHHHHCCCCCSSSSSSCCCCCHHHHHHHHHHHHCCCCSSSSSCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSHHHSSSSCCCCCCCCCCCCCCCCCHHHHHHHHCCCCCCSSSCCCC MLWFQGNSMQLARSSFGLFLRNCSASKTTLPVLTLFTKDPCPLCDEAKEVLKPYENRQPYKDQKLPGTRRRRSPSSPSHPHMASQSGKRYNLTLNQVLSFDYDMGLDAPKTISSDCGAFYCLRMFKSPDMTCCFYPKQ | |||||||||||||||||||
| 1 | 3a5wB | 0.12 | 0.12 | 4.13 | 0.46 | CEthreader | LFSHPADFTPVCTTEFVSFARRYEDFQRLGVDLIGLSVDSVFSHIKWKEWIERHFPIIADPQGTVARRLGLLHAESATHTVRGVFRTMLYYPMELGRLVDEILRIVKALKLGDSLKRAVPADWPNNEIIGEGLIVPPP | |||||||||||||
| 2 | 5wupA | 0.09 | 0.09 | 3.33 | 0.57 | EigenThreader | DGLDIEYPVLLLKELREAFEAEAQEVKKPRLLLTAAVPVGGYDVPAVASYLRETGHNAPLYAKQLSNNFKVNSPEMKVPYAIHGD--QWVGFDDEKSIRNKMRWIKDNGGVCGGNVKYPLIGAMREELRGISRGKDAK | |||||||||||||
| 3 | 2fgxA | 0.16 | 0.09 | 2.89 | 0.56 | FFAS-3D | ------------------------NNQVEPRKLVVYGREGCHLCEEMIASLRVLQKKSELEVINIDGNEHLTRLYNDRVPVFAVNEDKELCHVIGAYLS--------------------------------------- | |||||||||||||
| 4 | 3qmxA | 0.17 | 0.12 | 3.82 | 0.77 | SPARKS-K | --------------MRGSHHHHHHGSAVSAK-IEIYTWSTCPFCMRALALLKRKQEYCIDGDNEAREAMAARANGKRSLPQIFIDD--QHIGGCDDIYALDGAGKLDPLLHS-------------------------- | |||||||||||||
| 5 | 5gtxA | 0.12 | 0.07 | 2.57 | 0.72 | CNFpred | --------LKMALQKAQQLVN--------SNPLVVFSKTYAGYCSRVKKLFDRYQTIELDQESDGDAIQAALLQGQRTVPNVFIG--GKHIGGCDSVMEKHRD----------------------------------- | |||||||||||||
| 6 | 7abiU | 0.09 | 0.08 | 3.04 | 0.83 | DEthreader | QDMFYFEQIQQLNQM-PLYPTKII---WDENIALPKFLTLHLLRNFNLFRLESTYERQDEDSSARMAQ-P--IVAF-TVVEVAKPNWPT-VRADVT-LI-TVRPGLVYVR-G-CEFLDNQYQQDMTNTGEDVYE-I-R | |||||||||||||
| 7 | 1itxA | 0.10 | 0.09 | 3.50 | 0.84 | MapAlign | IISVGGATAATREVFANSAVDFLR--KYNFDGVDLDWENYTLLLSKIREKLDAYLLTIAHLDAGVPAAKLVLGVPFYGRGWDGCYQTCTGGSFDFYDLEANYINKNGYTRYWNDTAKVPYL--YNASNKRFISYDD-- | |||||||||||||
| 8 | 1z7pA | 0.16 | 0.12 | 4.11 | 0.60 | MUSTER | M-----ASKQELDAALKKAKELASSAP-----VVVFSKTYCGYCNRVKQLLTQVGASDELSDGSQLQSALAHWTGRGTVPNVFIGGKQIGGCTVVEKHQRNELLPLDAAATAKNPAQL-------------------- | |||||||||||||
| 9 | 1xg8A | 0.09 | 0.06 | 2.18 | 1.39 | HHsearch | --------------------ANLY--FQS-NAVVVYGADICASCVNSKDIYDWLQPIDITKD-L-TDHDLQFIEDELFYPLITMNDEYVADGYIQTKQITRFIDQKLVN-----E----------------------- | |||||||||||||
| 10 | 1z9hA1 | 0.11 | 0.09 | 3.13 | 0.38 | CEthreader | ------------------------------LQLTLYQYKTCPFCSKVRAFLDFLPYQVVEVNPVLRAEIKFSSYRKVPILVAQEGESSQQLNDSSVIISALKTYLVSGQPLEEIITYYPAMKAVNDQGKEVTEFGNKY | |||||||||||||
| ||||||||||||||||||||
|
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. |