[Home] [Server] [Queue] [About] [Remove] [Statistics]

I-TASSER results for job id S34196

  Submitted Sequence

>TPTN-FXN-RFP
GWTLNSAGYLLGKINLKALAALAKKLGGMWTLGRRAVAGLLASPSPAQAQTLTRVPRPAE
LAPLCGRRGLRTDIDATCTPRRASSNQRGLNQIWNVKKQSVYLMNLRKSGTLGHPGSLDE
TTYERLAEETLDSLAEFFEDLADKPYTFEDYDVSFGSGVLTVKLGGDLGTYVINKQTPNK
QIWLSSPSSGPKRYDWTGKNWVYSHDGVSLHELLAAELTKALKTKLDLSSLAYSGKDAGG
MRSSKNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDI
LSPQFQYGSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIY
KVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSI
YMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL

  Predicted Secondary Structure

Sequence                  20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220                 240                 260                 280                 300                 320                 340                 360                 380                 400                 420                 440                 460
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |      
GWTLNSAGYLLGKINLKALAALAKKLGGMWTLGRRAVAGLLASPSPAQAQTLTRVPRPAELAPLCGRRGLRTDIDATCTPRRASSNQRGLNQIWNVKKQSVYLMNLRKSGTLGHPGSLDETTYERLAEETLDSLAEFFEDLADKPYTFEDYDVSFGSGVLTVKLGGDLGTYVINKQTPNKQIWLSSPSSGPKRYDWTGKNWVYSHDGVSLHELLAAELTKALKTKLDLSSLAYSGKDAGGMRSSKNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFQYGSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL
PredictionCCCCCCCCCSSSSSSCHCHHHHHHCCCCCCCCCCHHHHHHCCCCCCCHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCSSSSCCCCSSSSSSCCCCCSSSSSCCCCCCCSSSSCCCCCCSSSSCCCCSSSSCCCCCCHHHHHHHHHHHHCCCCCCSSCCCCCCCCCCCHHCCCCCCCCCSSSSSSSSSSSCCSSSSSSSSSSCCCCCCSSSSSSSSSCCCCCCCCHHHHHHHHCCCCSSCCCCCCCCHHHHHHHCCCCCSSSSSSSSCCCCSSSSSSSSSSSCCSSSSSSSSSSSCCCCCCCCCCCCCCCCCCCSSSSSSSCCSSSSSSSSSSSSCCCCSSSSSSSSSSSCCCCCCCCCCSSSSSSSSSSSSCCCCCSSSSSSSSSSSCCCCC
Conf.Score952034420457875020466764248742105056665335778202125311876434466766577753236767664776023023125434468855123765566677898998999999999999999999875223577662687457988999999997199995888743046988789953147149999987899278999999888660746634114747844510110200067851799999988899899999877206887789999999459857888788687636573770408899556899748997168999997589799999899998999999999998888999972457522327855689997999998778999978899899998976756876259998788999999634588848999999999725569

  Top 5 Models predicted by I-TASSER

Download Model 1 Download Model 2 Download Model 3 Download Model 4 Download Model 5
C-score=-3.32
 C-score=-1.72
 C-score=-3.43
 C-score=-1.76
 C-score=-1.88
 
Estimated accuracy of Model1: 0.35±0.12 (TM-score)    15.5±3.4Å (RMSD)    (Read more about C-score of generated models)

  Top 10 templates used by I-TASSER

RankPDB
Hit		Iden1Iden2Cov.Norm.
Z-score		Download
Align.		                   20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220                 240                 260                 280                 300                 320                 340                 360                 380                 400                 420                 440                 460
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |     
Sec.Str
Seq		CCCCCCCCCSSSSSSCHCHHHHHHCCCCCCCCCCHHHHHHCCCCCCCHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCSSSSCCCCSSSSSSCCCCCSSSSSCCCCCCCSSSSCCCCCCSSSSCCCCSSSSCCCCCCHHHHHHHHHHHHCCCCCCSSCCCCCCCCCCCHHCCCCCCCCCSSSSSSSSSSSCCSSSSSSSSSSCCCCCCSSSSSSSSSCCCCCCCCHHHHHHHHCCCCSSCCCCCCCCHHHHHHHCCCCCSSSSSSSSCCCCSSSSSSSSSSSCCSSSSSSSSSSSCCCCCCCCCCCCCCCCCCCSSSSSSSCCSSSSSSSSSSSSCCCCSSSSSSSSSSSCCCCCCCCCCSSSSSSSSSSSSCCCCCSSSSSSSSSSSCCCCC
GWTLNSAGYLLGKINLKALAALAKKLGGMWTLGRRAVAGLLASPSPAQAQTLTRVPRPAELAPLCGRRGLRTDIDATCTPRRASSNQRGLNQIWNVKKQSVYLMNLRKSGTLGHPGSLDETTYERLAEETLDSLAEFFEDLADKPYTFEDYDVSFGSGVLTVKLGGDLGTYVINKQTPNKQIWLSSPSSGPKRYDWTGKNWVYSHDGVSLHELLAAELTKALKTKLDLSSLAYSGKDAGGMRSSKNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFQYGSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL
11ggxA 0.99 0.47 0.46 1.88Download ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------VIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSK---VYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL
23cglA 0.58 0.28 0.48 3.24Download ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------MSCSKSVIKEEMLIDLHLEGTFNGHYFEIKGKGKGQPNEGTNTVTLEVTKGGPLPFGWHILCP--QF-NKAFVHHPDNIHDYLKLSFPEGYTWERSMHFEDGGLCCITNDISLTGNCFYYDIKFTGLNFPPNGPVVQKKTTGWEPSTERLYPRDGVLIGDIHHALTVEGGGHYACDIKTVYRAKKALKMPGYHYVDTKLVIWNNDKEFMKVEEHEIAVARHHPF-
31ggxA 1.00 0.47 0.46 4.60Download ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------VIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQF---SKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL
43cglA 0.58 0.28 0.48 4.15Download ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------MSCSKSVIKEEMLIDLHLEGTFNGHYFEIKGKGKGQPNEGTNTVTLEVTKGGPLPFGWHILCPQFNKA---FVHHPDNIHDYLKLSFPEGYTWERSMHFEDGGLCCITNDISLTGNCFYYDIKFTGLNFPPNGPVVQKKTTGWEPSTERLYPRDGVLIGDIHHALTVEGGGHYACDIKTVYRAKKALKMPGYHYVDTKLVIWNNDKEFMKVEEHEIAVARHHPFY
51ggxA 0.99 0.47 0.46 3.81Download ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------VIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFSKV---YVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL
62rh7A 0.40 0.18 0.45 2.70Download ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------GLKEVMPTKINLEGLVGDHAFSMEGVGEGNILEGTQEVKISVTKGAPLPFAFDIVSVAF---NRAYTGYPEEISDYFLQSFPEGFTYERNIRYQDGGTAIVKSDISLE-GKFIVNVDFKAKDLRRMGPVMQQDIVGMQPSYESMYTNVTSVIGECIIAFKLQTGKHFTYHMRTVYKSKKPVEMPLYHFIQHRLVKTNV-----YVVQHETAIAAHSTIK
71g7kA 0.98 0.45 0.45 5.86Download -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------NVIKE-FRFKV-REGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQF---SKVYVKHPADIPDYKKLSFPEGFKWERV-NFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVQKK--TGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIY-AKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL
82rh7A 0.41 0.18 0.45 2.80Download ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------GLKEVMPTKINLEGLVGDHAFSMEGVGEGNILEGTQEVKISVTKGAPLPFAFDIVSVAF---NRAYTGYPEEISDYFLQSFPEGFTYERNIRYQDGGTAIVKSDISLE-GKFIVNVDFKAKDLRRMGPVMQQDIVGMQPSYESMYTNVTSVIGECIIAFKLQTGKHFTYHMRTVYKSKKPVEMPLYHFIQHRLVKTNV-----YVVQHETAIAAHSTI-
91ggxA 1.00 0.47 0.46 4.04Download ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------VIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFS---KVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL
101mouA 0.64 0.30 0.47 1.81Download ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------GGVIATQMTYKVYMSGTVNGHYFEVEGDGKGRPYEGEQTVKLTVTKGGPLPFAWDILSPQCSIP---FTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPHSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVA
(a)All the residues are colored in black; however, those residues in template which are identical to the residue in the query sequence are highlighted in color. Coloring scheme is based on the property of amino acids, where polar are brightly coloured while non-polar residues are colored in dark shade. (more about the colors used)
(b)Rank of templates represents the top ten threading templates used by I-TASSER.
(c)Ident1 is the percentage sequence identity of the templates in the threading aligned region with the query sequence.
(d)Ident2 is the percentage sequence identity of the whole template chains with query sequence.
(e)Cov. represents the coverage of the threading alignment and is equal to the number of aligned residues divided by the length of query protein.
(f)Norm. Z-score is the normalized Z-score of the threading alignments. Alignment with a Normalized Z-score >1 mean a good alignment and vice versa.
(g)Download Align. provides the 3D structure of the aligned regions of the threading templates.
(h)The top 10 alignments reported above (in order of their ranking) are from the following threading programs:
       1: MUSTER   2: HHSEARCH   3: SP3   4: PROSPECT2   5: PPA-I   6: HHSEARCH I   7: FUGUE   8: HHSEARCH II   9: SPARKS   10: MUSTER   

  10 proteins in PDB which are structurally closest to the first I-TASSER model (identified by TM-align)

RankTM-scoreRMSDaIDENaCov.PDB
Hit
10.4721 0.87 0.59 0.483cglA
Model1
 
20.4640 0.87 0.65 0.471mouA
Model1
 
30.4634 0.87 0.52 0.471xssA
Model1
 
40.4632 0.41 1.00 0.461ggxA
Model1
 
50.4624 1.24 0.48 0.472c9iA
Model1
 
60.4624 1.29 0.49 0.471uisA
Model1
 
70.4584 1.11 0.47 0.471xqmA
Model1
 
80.4581 0.94 0.40 0.462pslA
Model1
 
90.4568 1.43 0.42 0.471xa9A
Model1
 
100.4557 0.97 0.47 0.461yzwA
Model1
 
Structural alignment using TM-align
 
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------MSCSKSVIKEEMLIDLHLEGTFNGHYFEIKGKGKGQPNEGTNTVTLEVTKGGPLPFGWHILCPQF---NKAFVHHPDNIHDYLKLSFPEGYTWERSMHFEDGGLCCITNDISLTGNCFYYDIKFTGLNFPPNGPVVQKKTTGWEPSTERLYPRDGVLIGDIHHALTVEGGGHYACDIKTVYRAKKAALKMPGYHYVDTKLVIWNNDKEFMKVEEHEIAVARHHPFY 
GWTLNSAGYLLGKINLKALAALAKKLGGMWTLGRRAVAGLLASPSPAQAQTLTRVPRPAELAPLCGRRGLRTDIDATCTPRRASSNQRGLNQIWNVKKQSVYLMNLRKSGTLGHPGSLDETTYERLAEETLDSLAEFFEDLADKPYTFEDYDVSFGSGVLTVKLGGDLGTYVINKQTPNKQIWLSSPSSGPKRYDWTGKNWVYSHDGVSLHELLAAELTKALKTKLDLSSLAYSGKDAGGMRSSKNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFQYGSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPV-QLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL 
 
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------GGVIATQMTYKVYMSGTVNGHYFEVEGDGKGRPYEGEQTVKLTVTKGGPLPFAWDILSPQC---SIPFTKYPEDIPDYVKQSFPEGFTWERIMNFEDGAVCTVSNDSSIQGNCFTYHVKFSGLNFPPNGPVMQKKTQGWEPHSERLFARGGMLIGNNFMALKLEGGGHYLCEFKTTYKAKKPVKMPGYHYVDRKLDVTNHNKDYTSVEQCEISIARKPVVA 
GWTLNSAGYLLGKINLKALAALAKKLGGMWTLGRRAVAGLLASPSPAQAQTLTRVPRPAELAPLCGRRGLRTDIDATCTPRRASSNQRGLNQIWNVKKQSVYLMNLRKSGTLGHPGSLDETTYERLAEETLDSLAEFFEDLADKPYTFEDYDVSFGSGVLTVKLGGDLGTYVINKQTPNKQIWLSSPSSGPKRYDWTGKNWVYSHDGVSLHELLAAELTKALKTKLDLSSLAYSGKDAGGMRSSKNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFQYGSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL 
 
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------VSVITSEMKMELRMEGAVNGHKFVITGKGSGQPFEGIQNMDLTVIEGGPLPFAFDILTTVF---NRVFVKYPEEIVDYFKQSFPEGYSWERSMSYEDGGICLATNNITMKKDGSNCFVYEIRFDGVNFPANGPVMQRKTVKWEPSTEKMYVRDGVLKGDVNMALLLQGGGHYRCDFRTTYKAKKVVQLPDYHFVDHRIEITSHDKDYNKVKLYEHAKAHSGLPRLA 
GWTLNSAGYLLGKINLKALAALAKKLGGMWTLGRRAVAGLLASPSPAQAQTLTRVPRPAELAPLCGRRGLRTDIDATCTPRRASSNQRGLNQIWNVKKQSVYLMNLRKSGTLGHPGSLDETTYERLAEETLDSLAEFFEDLADKPYTFEDYDVSFGSGVLTVKLGGDLGTYVINKQTPNKQIWLSSPSSGPKRYDWTGKNWVYSHDGVSLHELLAAELTKALKTKLDLSSLAYSGKDAGGMRSSKNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFQYGSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQ-D--GCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL-- 
 
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------VIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQF---SKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL 
GWTLNSAGYLLGKINLKALAALAKKLGGMWTLGRRAVAGLLASPSPAQAQTLTRVPRPAELAPLCGRRGLRTDIDATCTPRRASSNQRGLNQIWNVKKQSVYLMNLRKSGTLGHPGSLDETTYERLAEETLDSLAEFFEDLADKPYTFEDYDVSFGSGVLTVKLGGDLGTYVINKQTPNKQIWLSSPSSGPKRYDWTGKNWVYSHDGVSLHELLAAELTKALKTKLDLSSLAYSGKDAGGMRSSKNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFQYGSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL 
 
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------MYPSIKETMRVQLSMEGSVNYHAFKCTGKGEGKPYEGTQSLNITITEGGPLPFAFDILSHAF---IKVFAKYPKEIPDFFKQSLPGGFSWERVSTYEDGGVLSATQETSLQGDCIICKVKVLGTNFPANGPVMQKKTCGWEPSTETVIPRDGGLLLRDTPALMLADGGHLSCFMETTYKSKKEVKLPELHFHHLRMEKLNISDDWKTVEQHESVVASYSQVPSKLGHN 
GWTLNSAGYLLGKINLKALAALAKKLGGMWTLGRRAVAGLLASPSPAQAQTLTRVPRPAELAPLCGRRGLRTDIDATCTPRRASSNQRGLNQIWNVKKQSVYLMNLRKSGTLGHPGSLDETTYERLAEETLDSLAEFFEDLADKPYTFEDYDVSFGSGVLTVKLGGDLGTYVINKQTPNKQIWLSSPSSGPKRYDWTGKNWVYSHDGVSLHELLAAELTKALKTKLDLSSLAYSGKDAGGMRSSKNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFQYGSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPVQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL------ 
 
I--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------HM-NSLIKENMRMMVVMEGSVNGYQFKCTGEGDGNPYMGTQTMRIKVVEGGPLPFAFDILATSF---SKTFIKHTKGIPDFFKQSFPEGFTWERVTRYEDGGVFTVMQDTSLEDGCLVYHAKVTGVNFPSNGAVMQKKTKGWEPNTEMLYPADGGLRGYSQMALNVDGGGYLSCSFETTYRSKKTVENFKMPGFHFVDHRLERLEESDKEMFVVQHEHAVAKFCDLP 
-GWTLNSAGYLLGKINLKALAALAKKLGGMWTLGRRAVAGLLASPSPAQAQTLTRVPRPAELAPLCGRRGLRTDIDATCTPRRASSNQRGLNQIWNVKKQSVYLMNLRKSGTLGHPGSLDETTYERLAEETLDSLAEFFEDLADKPYTFEDYDVSFGSGVLTVKLGGDLGTYVINKQTPNKQIWLSSPSSGPKRYDWTGKNWVYSHDGVSLHELLAAELTKALKTKLDLSSLAYSGKDAGGMRS-SKNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFQYGSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKP---VQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL 
 
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------SLLTETMPFKTTIEGTVNGHCFKCIGKGEGNPFEGTQEMKIEVIEGGPLPFAFHILSTSC---SKTFIKYVSGIPDYFKQSFPEGFTWERTTTYEDGGFLTAHQDTSLDGDCLVYKVKILGNNFPADGPVMQNKVGRWEPGTEIVYEVDGVLRGQSLMALKCPGGRHLTCHLHTTYRSKKPASALKMPGFHFEDHRIEIMEEVEKGKCYKQYEAAVGRYCDAAPSKLGHN 
GWTLNSAGYLLGKINLKALAALAKKLGGMWTLGRRAVAGLLASPSPAQAQTLTRVPRPAELAPLCGRRGLRTDIDATCTPRRASSNQRGLNQIWNVKKQSVYLMNLRKSGTLGHPGSLDETTYERLAEETLDSLAEFFEDLADKPYTFEDYDVSFGSGVLTVKLGGDLGTYVINKQTPNKQIWLSSPSSGPKRYDWTGKNWVYSHDGVSLHELLAAELTKALKTKLDLSSLAYSGKDAGGMRSSKNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFQYGSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKP---VQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL------- 
 
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------GLKEVMPTKINLEGLVGDHAFSMEGVGEGNILEGTQEVKISVTKGAPLPFAFDIVSVAF---NRAYTGYPEEISDYFLQSFPEGFTYERNIRYQDGGTAIVKSDISLEDGKFIVNVDFKAKDLRRMGPVMQQDIVGMQPSYESMYTNVTSVIGECIIAFKLQTGKHFTYHMRTVYKSKKPVETMPLYHFIQHRLVKTNVDTASGYVVQHETAIAAHSTIK 
GWTLNSAGYLLGKINLKALAALAKKLGGMWTLGRRAVAGLLASPSPAQAQTLTRVPRPAELAPLCGRRGLRTDIDATCTPRRASSNQRGLNQIWNVKKQSVYLMNLRKSGTLGHPGSLDETTYERLAEETLDSLAEFFEDLADKPYTFEDYDVSFGSGVLTVKLGGDLGTYVINKQTPNKQIWLSSPSSGPKRYDWTGKNWVYSHDGVSLHELLAAELTKALKTKLDLSSLAYSGKDAGGMRSSKNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFQYGSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPV-QLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL 
 
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------S-KHGLKEEMTMKYHMEGCVNGHKFVITGEGIGYPFKGKQTINLCVIEGGPLPFSEDILSAGF---DRIFTEYPQDIVDYFKNSCPAGYTWGRSFLFEDGAVCICNVDITVSVKENCIYHKSIFNGMNFPADGPVMKKMTTNWEASCEKIMPVPKQGILKGDVSMYLLLKDGGRYRCQFDTVYKAKSVPSKMPEWHFIQHKLLREDRSDAKNQKWQLTEHAIAFPSAL- 
GWTLNSAGYLLGKINLKALAALAKKLGGMWTLGRRAVAGLLASPSPAQAQTLTRVPRPAELAPLCGRRGLRTDIDATCTPRRASSNQRGLNQIWNVKKQSVYLMNLRKSGTLGHPGSLDETTYERLAEETLDSLAEFFEDLADKPYTFEDYDVSFGSGVLTVKLGGDLGTYVINKQTPNKQIWLSSPSSGPKRYDWTGKNWVYSHDGVSLHELLAAELTKALKTKLDLSSLAYSGKDAGGMRSSKNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFQYGSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQ-D-GCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPR--DGVLKGEIHKALKLKDGGHYLVEFKSIYMAKKPV-QLPGYYYVDSKLDITSHNED-YTIVEQYERTEGRHHLFL 
 
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------GLLKESMRIKMYMEGTVNGHYFKCEGEGDGNPFAGTQSMRIHVTEGAPLPFAFDILAPCC---SRTFVHHTAEIPDFFKQSFPEGFTWERTTTYEDGGILTAHQDTSLEGNCLIYKVKVHGTNFPADGPVMKNKSGGWEPSTEVVYPENGVLCGRNVMALKVG-DRHLICHHYTSYRSKKAVRALTMPGFHFTDIRLQMLRKK-KDEYFELYEASVARYSDLPEK 
GWTLNSAGYLLGKINLKALAALAKKLGGMWTLGRRAVAGLLASPSPAQAQTLTRVPRPAELAPLCGRRGLRTDIDATCTPRRASSNQRGLNQIWNVKKQSVYLMNLRKSGTLGHPGSLDETTYERLAEETLDSLAEFFEDLADKPYTFEDYDVSFGSGVLTVKLGGDLGTYVINKQTPNKQIWLSSPSSGPKRYDWTGKNWVYSHDGVSLHELLAAELTKALKTKLDLSSLAYSGKDAGGMRSSKNVIKEFMRFKVRMEGTVNGHEFEIEGEGEGRPYEGHNTVKLKVTKGGPLPFAWDILSPQFQYGSKVYVKHPADIPDYKKLSFPEGFKWERVMNFEDGGVVTVTQDSSLQDGCFIYKVKFIGVNFPSDGPVMQKKTMGWEASTERLYPRDGVLKGEIHKALKLKDGGHYLVEFKSIYMAKK-P--VQLPGYYYVDSKLDITSHNEDYTIVEQYERTEGRHHLFL-- 
 
(a)Residue pairs that are structurally aligned by TM-align program are highlighted in color. Coloring scheme is based on the property of amino acids, where polar are brightly coloured while non-polar residues are colored in dark shade.(more about the colors used)
(b)Ranking of proteins is based on TM-score of the structural alignment between Model1 and the PDB structures in our template library.
(c)RMSDa is the RMSD between residues that are structurally aligned by TM-align.
(d)IDENa is the percentage sequence identity in the structurally aligned region.
(e)Cov. represents the coverage of the alignment by TM-align and is equal to the number of structurally aligned residues divided by length of the model.

  Function Prediction

  Predicted EC Numbers

RankTM-scoreRMSDaIDENaCov.EC-ScorePDB
Hit		EC No.
10.3356 7.28 0.05 0.560.28131xf1A 3.4.21.110
 
20.3493 7.26 0.04 0.560.28111hn0A 4.2.2.20
 
30.3134 7.11 0.06 0.510.27881bf2A 3.2.1.68
 
40.3111 7.13 0.06 0.500.27862dewX 3.5.3.15
 
50.3411 7.03 0.04 0.540.27791j0mA 4.2.2.12
 
(a)Ranking is based on EC-score, which is a confidence score for the Enzyme Classification (EC) Number prediction.
(b)RMSDa is the RMSD between models and the PDB structure in the structurally aligned regions by TM-align.
(c)IDENa is percentage sequence identity in the structurally aligned region.
(d)Cov. represents the coverage of the alignment and is equal to the number of structurally aligned residues divided by length of model.
(e)EC-Score is defined based on the C-score of the structure prediction and similarity of the model with known enzyme structures, as identified using both global and local structural alignment programs. The global similarity score uses TM-score, IDENa,RMSDa and Cov. of the structural alignment by TM-align, while the local match compares the structural and chemical similarity of local spatial motifs in the model with known catalytic site of enzymes. A prediction with a EC-score >1.1 signifies a prediction with high confidence (upto 3 digit numbers of EC) and vice versa (For details, see Ambrish, Kucukural and Zhang,Large scale benchmarking of protein function prediction using predicted protein structures, 2009, submitted).

  Predicted GO terms

RankTMscoreRMSDaIDENaCov.PDB
Hit		Fh-ScoreAssociated GO Terms
10.4622 0.61 0.97 0.462vaeH 1.54 GO:0006091 GO:0008218 GO:0009987 GO:0018298 GO:0034960 GO:0043412
20.4643 0.82 0.65 0.472p4mH 1.08 GO:0008218 GO:0009987 GO:0010117 GO:0018298 GO:0034960 GO:0043412 GO:0005576 GO:0018995
30.4553 0.85 0.58 0.463cglE 0.98 GO:0006091 GO:0008218 GO:0009987 GO:0018298 GO:0034960 GO:0043412
40.4561 0.75 0.55 0.462z1oD 0.93 GO:0006091 GO:0008218 GO:0009987 GO:0018298 GO:0034960 GO:0043412
50.4539 0.75 0.55 0.462oteB 0.92 GO:0006091 GO:0008218 GO:0009987 GO:0018298 GO:0034960 GO:0043412
60.4634 0.88 0.52 0.471xssB 0.90 GO:0008218 GO:0009987 GO:0018298 GO:0034960 GO:0043412
70.4635 1.43 0.49 0.471uisB 0.86 GO:0008218 GO:0009987 GO:0018298 GO:0034960 GO:0043412
80.4611 1.05 0.48 0.472c9iH 0.84 GO:0008218 GO:0009987 GO:0018298 GO:0034960 GO:0043412
90.4595 1.05 0.48 0.472btjD 0.84 GO:0006091 GO:0008218 GO:0009987 GO:0018298 GO:0034960 GO:0043412
100.4556 0.98 0.47 0.461yzwD 0.82 GO:0008218 GO:0009987 GO:0018298 GO:0034960 GO:0043412

Consensus Prediction of Gene Ontology terms 
Molecular Function  Biological Process Cellular Location
GO termGO-Score  GO termGO-Score GO termGO-Score
GO:00038240.243  GO:00349600.972  GO:00057370.169
GO:00054880.148  GO:00082180.972  GO:00444240.169
GO:00164910.132  GO:00182980.972  GO:00056230.169
GO:00167400.131  GO:00434120.972  GO:00444640.169
GO:00090550.113  GO:00099870.972  GO:00056220.169
GO:00046020.095  GO:00060910.521  GO:00055760.145
GO:00167650.095  GO:00094160.108  GO:00432290.131
GO:00162090.095  GO:00096280.108  GO:00432260.131
GO:00046010.095  GO:00508960.108  GO:00432270.113
GO:00043640.095  GO:00101170.108  GO:00432310.113

(a)Ranking in the first table is based on a function prediction score (Fh-score), which is calculated based on the C-score of the structure prediction and the TM-score, IDENa, RMSDa and Cov. of the structural alignment by TM-align between the predicted model and the PDB structures (For details, see Ambrish, Kucukural and Zhang,Large scale benchmarking of protein function prediction using predicted protein structures, 2009, submitted).
(b)RMSDa is the RMSD between models and the PDB structure in the structurally aligned regions by TM-align.
(c)IDENa is the percentage sequence identity in the structurally aligned region.
(d)Cov. represents the coverage of the alignment and is equal to the number of structurally aligned residues divided by length of model.
(e)A consensus prediction of GO terms is derived from the structural analogs that have an Fh-score of >=1.0. The GO-Score associated with each prediction is defined as the average weight of the GO term, where the weights are assigned based on the Fh-score of the template from which the GO term is derived. A prediction with a GO-score >0.5 signifies a prediction with high confidence and vice versa.


  Predicted Binding Site


Binding site residues in the model:
ARG:67  ARG:68  LEU:70  ARG:71  THR:72  SER:85  ASN:86  
ASN:91  GLN:92  TRP:94  ASN:95  VAL:96  LYS:98  ALA:215  
ALA:216  GLU:217  LEU:218  THR:219  LYS:220  ALA:221  LEU:222  
LYS:223  LYS:225  LEU:226  
Identified analogs with similar binding site:

RankPDB
Hit		TM-scoreRMSDaIDENaCov.BS-scoreDownload
Complex		Binding site residues on the predicted model
11fgjA0.2542 7.37 0.05 0.41 0.41Download67,68,70,71,72,85,86,91,92,94,95,96,98,215,216,217,218,219,220,221,222,223,225,226
21sy7A0.2665 6.96 0.07 0.41 0.18Download256,257,258,301,302,303,304,305,306,307,308,309,334,335,336,337,345,346,347,348,349,350,360,361,362,363,364,417,418,419
31sy7A0.2665 6.96 0.07 0.41 0.18Download256,257,258,301,302,303,304,305,306,307,308,309,334,335,336,337,345,346,347,348,349,350,360,361,362,363,364,417,418,419
42v4eB0.4641 0.63 0.92 0.46 0.18Download282,283,284,302,303,304,305,306,307,308,309,310,333,335,349,360,383,385,386,388,401,403,417,437,439,453,454,455
51pg2A0.2703 6.95 0.05 0.42 0.17Download57,63,64,65,66,67,220,222,223,224,225,226,227,228
61xssB0.4634 0.88 0.52 0.46 0.14Download282,284,301,302,303,304,305,306,307,308,309,310,333,335,349,360,385,386,388,401,403,417,437,439,453,454,455
72e1qA0.3137 7.48 0.05 0.52 0.13Download70,71,72,80,81,82,83,84,85,86,87,92,99,222
82gw4B0.3291 0.90 0.51 0.33 0.13Download282,283,284,302,303,304,305,306,307,308,309,310,333,335,349,360,383,385,386,388,401,403,417,437,439,453,454,455
92icrC0.4587 1.60 0.38 0.47 0.12Download302,303,304,305,306,307,308,309,310,333,335,349,360,385,386,388,401,403,417,437,439,455
103bxcD0.4565 0.92 0.57 0.46 0.12Download282,283,284,302,303,304,305,306,307,308,309,310,333,335,349,360,383,384,385,386,388,401,403,417,437,439,453,454,455

(a)Ranking of the analogs in the table is based on their BS-score. BS-score is calculated by first finding the structural analogs of the predicted model based on their TM-score, IDENa and Cov. of the structural alignment. The ligand(s) in the analog structure are then transferred onto the model and the fitness of the ligand-model complex (BS-score) is calculated by comparing the local structure and sequence similarity in the binding site region. (For detail, see Kucukural, Szilagyi, Ambrish, and Zhang, Template based ligand binding site prediction on modeled protein structure, 2009, in preparation).
(b) A BS-score of >0.5 signifies a binding site prediction with high confidence and vice-versa.
(c)RMSDa the RMSD between residues that are structurally aligned by TM-align.
(d)IDENa is the percentage sequence identity in the structurally aligned region.
(e)Cov. represents the coverage of the alignment by TM-align and is equal to the number of structurally aligned residues divided by length of the model.
(f)The image shows the ligand-protein complex with the best BS-score. The ligand is depicted in magenta colored ball & stick, the predicted binding site residues interacting with the ligand are shown as transparent green spheres, while the N & C terminus in the model are marked by blue and red spheres respectively.



 Please cite following articles when you use the I-TASSER server:
1.Yang Zhang. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics, 9:40 (2008).
2.Yang Zhang. Template-based modeling and free modeling by I-TASSER in CASP7. Proteins, 8: 108-117 (2007).
3.Sitao Wu, Jeffrey Skolnick, Yang Zhang. Ab initio modeling of small proteins by iterative TASSER simulations. BMC Biology, 5:17 (2007).