| >A6NFH5 (140 residues) MIDQLQGTWKSISCENSEDYMKELGIGRASRKLGRLAKPTVTISTDGDVITIKTKSIFKN NEISFKLGEEFEEITPGGHKTKSKVTLDKESLIQVQDWDGKETTITRKLVDGKMVVESTV NSVICTRTYEKVSSNSVSNS |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MIDQLQGTWKSISCENSEDYMKELGIGRASRKLGRLAKPTVTISTDGDVITIKTKSIFKNNEISFKLGEEFEEITPGGHKTKSKVTLDKESLIQVQDWDGKETTITRKLVDGKMVVESTVNSVICTRTYEKVSSNSVSNS |
| Prediction | CCCCCCSSSSSSSCCCHHHHHHHHCCCHHHHHHHHHCCCSSSSSSSCCSSSSSSSCCCCSSSSSSSCCCCSSSSCCCCCSSSSSSSSSCCSSSSSSSCCCCCSSSSSSSSCCSSSSSSSSCCSSSSSSSSSCCCCCCCCC |
| Confidence | 98200738999843688999999299999999987089839999969999999992882389999779316887289956889999979989999948998379999999999999999999999999998456777789 |
| H:Helix; S:Strand; C:Coil | |
| Sequence |
20 40 60 80 100 120 140 | | | | | | | MIDQLQGTWKSISCENSEDYMKELGIGRASRKLGRLAKPTVTISTDGDVITIKTKSIFKNNEISFKLGEEFEEITPGGHKTKSKVTLDKESLIQVQDWDGKETTITRKLVDGKMVVESTVNSVICTRTYEKVSSNSVSNS |
| Prediction | 64752424032464731341054261444224204514141303346540303131444444240424451435435444242204155530121344765622121304654010102155130312043045466658 |
| 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 | CCCCCCSSSSSSSCCCHHHHHHHHCCCHHHHHHHHHCCCSSSSSSSCCSSSSSSSCCCCSSSSSSSCCCCSSSSCCCCCSSSSSSSSSCCSSSSSSSCCCCCSSSSSSSSCCSSSSSSSSCCSSSSSSSSSCCCCCCCCC MIDQLQGTWKSISCENSEDYMKELGIGRASRKLGRLAKPTVTISTDGDVITIKTKSIFKNNEISFKLGEEFEEITPGGHKTKSKVTLDKESLIQVQDWDGKETTITRKLVDGKMVVESTVNSVICTRTYEKVSSNSVSNS | |||||||||||||||||||
| 1 | 1g5wA | 0.51 | 0.48 | 13.86 | 1.50 | DEthreader | -VDAFLGTWKLVDSKNFDDYMKSLGVGFATRQVASMTKPTTIIEKNGDILTLKTHSTFKNTEISFKLGVEFDETTADDRKVKSIVTLDGGKLVHLQKWDGQETTLVRELIDGKLILTLTHGTAVCTRTYEKEA------- | |||||||||||||
| 2 | 3pptA | 0.41 | 0.39 | 11.36 | 3.47 | SPARKS-K | -AADLAGKWILESSENFDDYMKAVGVGMVMRKMANAATPTQEIKIDGDSWSIKTSTTFKTTDISFTIGQEFDETTGDGRKIKTTCKIDGNAMIQDQKGSPD-SILSREVKDGKMHMILKVNDVVCTRIYKRVDLE----- | |||||||||||||
| 3 | 2qm9A | 0.54 | 0.51 | 14.63 | 1.03 | MapAlign | -CDAFVGTWKLVSSENFDDYMKEVGVGFATRKVAGMAKPNMIISVNGDLVTIRSESTFKNTEISFKLGVEFDEITADDRKVKSIITLDGGALVQVQKWDGKSTTIKRKRDGDKLVVECVMKGVTSTRVYERA-------- | |||||||||||||
| 4 | 1jjjA | 0.50 | 0.48 | 13.87 | 0.82 | CEthreader | TVQQLEGRWRLVDSKGFDEYMKELGVGIALRKMGAMAKPDCIITCDGKNLTIKTESTLKTTQFSCTLGEKFEETTADGRKTQTVCNFTDGALVQHQEWDGKESTITRKLKDGKLVVECVMNNVTCTRIYEKVE------- | |||||||||||||
| 5 | 2qm9A | 0.55 | 0.51 | 14.83 | 2.28 | MUSTER | MCDAFVGTWKLVSSENFDDYMKEVGVGFATRKVAGMAKPNMIISVNGDLVTIRSESTFKNTEISFKLGVEFDEITADDRKVKSIITLDGGALVQVQKWDGKSTTIKRKRDGDKLVVECVMKGVTSTRVYERA-------- | |||||||||||||
| 6 | 2rcqA | 0.31 | 0.30 | 9.07 | 2.18 | HHsearch | STRDQNGTWEMESNENFEGYMKALDIDFATRKIAVRLTQTKVIDQDGDNFKTKTTSTFRNYDVDFTVGVEFDEYTLDNRHVKALVTWEGDVLVCVQKGEKENRGWKQWIEGDKLYLELTCGDQVCRQVFKKKLVPR---- | |||||||||||||
| 7 | 3pptA | 0.41 | 0.39 | 11.36 | 2.63 | FFAS-3D | -AADLAGKWILESSENFDDYMKAVGVGMVMRKMANAATPTQEIKIDGDSWSIKTSTTFKTTDISFTIGQEFDETTGDGRKIKTTCKIDGNAMIQDQK-GSPDSILSREVKDGKMHMILKVNDVVCTRIYKRVDLE----- | |||||||||||||
| 8 | 1g5wA | 0.51 | 0.48 | 13.86 | 1.10 | EigenThreader | -VDAFLGTWKLVDSKNFDDYMKSLGVGFATRQVASMTKPTTIIEKNGDILTLKTHSTFKNTEISFKLGVEFDETTADDRKVKSIVTLDGGKLVHLQKWDGQETTLVRELIDGKLILTLTHGTAVCTRTYEKEA------- | |||||||||||||
| 9 | 4a1hA | 0.66 | 0.62 | 17.72 | 3.23 | CNFpred | MSNKFLGTWKLVSSENFDDYMKALGVGLATRKLGNLAKPTVIISKSGDIITIRTESTFKNTEISFKLGQEFEETTADNRKTKSIVTLQRGSLNQVQRWDGKETTIKRKLVNGKMVAECKMKGVVCTRIYEKV-------- | |||||||||||||
| 10 | 3pptA | 0.41 | 0.39 | 11.36 | 1.50 | DEthreader | AA-DLAGKWILESSENFDDYMKAVGVGMVMRKMANAATPTQEIKIDGDSWSIKTSTTFKTTDISFTIGQEFDETTGDGRKIKTTCKIDGNAMIQDQKG-SPDSILSREVKDGKMHMILKVNDVVCTRIYKRVDLE----- | |||||||||||||
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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. |