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I-TASSER results for job id S34201

Submitted Sequence

>075881
MAGEVSAATGRFSLERLGLPGLALAAALLLLALCLLVRRTRRPGEPPLIKGWLPYLGVVL
NLRKDPLRFMKTLQKQHGDTFTVLLGGKYITFILDPFQYQLVIKNHKQLSFRVFSNKLLE
KAFSISQLQKNHDMNDELHLCYQFLQGKSLDILLESMMQNLKQVFEPQLLKTTSWDTAEL
YPFCSSIIFEITFTTIYGKVIVCDNNKFISELRDDFLKFDDKFAYLVSNIPIELLGNVKS
IREKIIKCFSSEKLAKMQGWSEVFQSRQDVLEKYYVHEDLEIGAHHLGFLWASVANTIPT
MFWAMYYLLRHPEAMAAVRDEIDRLLQSTGQKKGSGFPIHLTREQLDSLICLESSIFEAL
RLSSYSTTIRFVEEDLTLSSETGDYCVRKGDLVAIFPPVLHGDPEIFEAPEEFRYDRFIE
DGKKKTTFFKRGKKLKCYLMPFGTGTSKCPGRFFALMEIKQLLVILLTYFDLEIIDDKPI
GLNYSRLLFGIQYPDSDVLFRYKVKS

Predicted Secondary Structure

Sequence	20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480 500 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| MAGEVSAATGRFSLERLGLPGLALAAALLLLALCLLVRRTRRPGEPPLIKGWLPYLGVVLNLRKDPLRFMKTLQKQHGDTFTVLLGGKYITFILDPFQYQLVIKNHKQLSFRVFSNKLLEKAFSISQLQKNHDMNDELHLCYQFLQGKSLDILLESMMQNLKQVFEPQLLKTTSWDTAELYPFCSSIIFEITFTTIYGKVIVCDNNKFISELRDDFLKFDDKFAYLVSNIPIELLGNVKSIREKIIKCFSSEKLAKMQGWSEVFQSRQDVLEKYYVHEDLEIGAHHLGFLWASVANTIPTMFWAMYYLLRHPEAMAAVRDEIDRLLQSTGQKKGSGFPIHLTREQLDSLICLESSIFEALRLSSYSTTIRFVEEDLTLSSETGDYCVRKGDLVAIFPPVLHGDPEIFEAPEEFRYDRFIEDGKKKTTFFKRGKKLKCYLMPFGTGTSKCPGRFFALMEIKQLLVILLTYFDLEIIDDKPIGLNYSRLLFGIQYPDSDVLFRYKVKS
Prediction	CCHHHHCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCSSCCHHHHCCCHHHHHHHHHHHCCCSSSSSSCCSSSSSSCCHHHHHHHHCCCCCCCCCCCCHHHHHCCCCCCCCCCCCHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCSCHHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHCCHHHHHHHHHHHHCCCCCCHHCCCCCCCCCCCCSCCSSSCCCCSSSSCHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHCSSSSSCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSCC
Conf.Score	91566500164319999999999999999999999987347899899999988921348886478999999999964997899989988999879999999961777166754214454312541037876069999999999747888999999999999999999998548998260999999999999999981871246585999999999999877778753016199999999999999999999999866403479999999998536897799999999999973023799999999999869999999999999998324886667767767899982885999999999720787002202772247564079999789998996049871895126993457920028877645654334568975201788866678169999999999999999802789687967988644455422378987058987286

Top 5 Models predicted by I-TASSER


Download Model 1	Download Model 2	Download Model 3	Download Model 4	Download Model 5
C-score=-0.12	C-score=-1.21	C-score=-2.40	C-score=-2.92	C-score=-1.08

Estimated accuracy of Model1: 0.70±0.12 (TM-score) 7.6±4.3Å (RMSD) (Read more about C-score of generated models)

Top 10 templates used by I-TASSER

Rank

PDB
Hit

Iden1

Iden2

Cov.

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                 480                 500
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |      

Sec.Str
Seq

CCHHHHCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCSSCCHHHHCCCHHHHHHHHHHHCCCSSSSSSCCSSSSSSCCHHHHHHHHCCCCCCCCCCCCHHHHHCCCCCCCCCCCCHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCSCHHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHCCHHHHHHHHHHHHCCCCCCHHCCCCCCCCCCCCSCCSSSCCCCSSSSCHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHCSSSSSCCCCCCCCCCCCCCCCCCCCCCCCSSSSSSCC
MAGEVSAATGRFSLERLGLPGLALAAALLLLALCLLVRRTRRPGEPPLIKGWLPYLGVVLNLRKDPLRFMKTLQKQHGDTFTVLLGGKYITFILDPFQYQLVIKNHKQLSFRVFSNKLLEKAFSISQLQKNHDMNDELHLCYQFLQGKSLDILLESMMQNLKQVFEPQLLKTTSWDTAELYPFCSSIIFEITFTTIYGKVIVCDNNKFISELRDDFLKFDDKFAYLVSNIPIELLGNVKSIREKIIKCFSSEKLAKMQGWSEVFQSRQDVLEKYYVHEDLEIGAHHLGFLWASVANTIPTMFWAMYYLLRHPEAMAAVRDEIDRLLQSTGQKKGSGFPIHLTREQLDSLICLESSIFEALRLSSYSTTIRFVEEDLTLSSETGDYCVRKGDLVAIFPPVLHGDPEIFEAPEEFRYDRFIEDGKKKTTFFKRGKKLKCYLMPFGTGTSKCPGRFFALMEIKQLLVILLTYFDLEIIDDKPIGLNYSRLLFGIQYPDSDVLFRYKVKS

3daxA

0.40

0.39

0.91

2.62

Download

-------------------------------------SRRRQTGEPPLENGLIPYLGCALQFGANPLEFLRANQRKHGHVFTCKLMGKYVHFITNPLSYHKVLCHGKYFDWKKFHFATSAKGHRSIDPMDGNTTENINDTFIKTLQGHALNSLTESMMENLQRIMRA-------WVTEGMYSFCYRVMFEAGYLTIFGRDLTRRDTAHILNNLDNFKQFDKVFPALVAGLPIHMFRTAHNAREKLAESLRHENLQKRESISELISLRMFLNDTLSTFDDLEKAKTHLVVLWASQANTIPATFWSLFQMIRNPEAMKAATEEVKRTLENAGQKVSLGNPICLSQAELNDLPVLDSIIKESLRLSSASLNIRTAKEDFTLHLEDGSYNIRKDDIIALYPQLMHLDPEIYPDPLTFKYDRYLDENGKKTTFYCNGLKLKYYYMPFGSGATICPGRLFAIHEIKQFLILMLSYFELELIEGQAPPLDQSRAGLGILPPLNDIEFKYKFKH

3daxA

0.40

0.39

0.91

3.00

Download

-------------------------------------SRRRQTGEPPLENGLIPYLGCALQFGANPLEFLRANQRKHGHVFTCKLMGKYVHFITNPLSYHKVLCHGKYFDWKKFHFATSAKAFGSIDPMDGNTTENINDTFIKTLQGHALNSLTESMMENLQRIMR-------AWVTEGMYSFCYRVMFEAGYLTIFGRDLTRRDTQKAHILNDNFKQFDKVFPALVAGLPIHMFRTAHNAREKLAESLRHENLQKRESISELISLRMFLNDTLSTFDDLEKAKTHLVVLWASQANTIPATFWSLFQMIRNPEAMKAATEEVKRTLENAGQKSLEGNPICLSQAELNDLPVLDSIIKESLRLSSASLNIRTAKEDFTLHLEDGSYNIRKDDIIALYPQLMHLDPEIYPDPLTFKYDRYLDENGKTKTTYCNGLKLKYYYMPFGSGATICPGRLFAIHEIKQFLILMLSYFELELIEGQCPPLDQSRAGLGILPPLNDIEFKYKFK-

3daxA

0.39

0.91

3.62

Download

-------------------------------------SRRRQTGEPPLENGLIPYLGCALQFGANPLEFLRANQRKHGHVFTCKLMGKYVHFITNPLSYHKVLCHGKYFDWKKFHFATSAKGHRSIDPMDGNTTENINDTFIKTLQGHALNSLTESMMENLQRIM-------RAWVTEGMYSFCYRVMFEAGYLTIFGRDLTRRDTAHILNNLDNFKQFDKVFPALVAGLPIHMFRTAHNAREKLAESLRHENLQKRESISELISLRMFLNDTLSTFDDLEKAKTHLVVLWASQANTIPATFWSLFQMIRNPEAMKAATEEVKRTLENAGQKVSEGNPICLSQAELNDLPVLDSIIKESLRLSSASLNIRTAKEDFTLHLEDGSYNIRKDDIIALYPQLMHLDPEIYPDPLTFKYDRYLDENGKTKTFYCNGLKLKYYYMPFGSGATICPGRLFAIHEIKQFLILMLSYFELELIEGQCPPLDQSRAGLGILPPLNDIEFKYKFKH

3daxA

0.40

0.39

0.91

4.44

Download

-------------------------------------SRRRQTGEPPLENGLIPYLGCALQFGANPLEFLRANQRKHGHVFTCKLMGKYVHFITNPLSYHKVLCHGKYFDWKKFHFATSAKAHRSIDPMDGNTTENINDTFIKTLQGHALNSLTESMMENLQRIM-------RAWVTEGMYSFCYRVMFEAGYLTIFGRDLTRRDTQHILNNLDNFKQFDKVFPALVAGLPIHMFRTAHNAREKLAESLRHENLQKRESISELISLRMFLNDTLSTFDDLEKAKTHLVVLWASQANTIPATFWSLFQMIRNPEAMKAATEEVKRTLENAGQKVSLGNPICLSQAELNDLPVLDSIIKESLRLSSASLNIRTAKEDFTLHLEDGSYNIRKDDIIALYPQLMHLDPEIYPDPLTFKYDRYLDENGKKTTFYCNGLKLKYYYMPFGSGATICPGRLFAIHEIKQFLILMLSYFELELIEGKCPPLDQSRAGLGILPPLNDIEFKYKFKH

1e9xA

0.19

0.20

0.87

3.17

Download

---------------------------------------MSAVALPRVSGG-HDEHGHLEEFRTDPIGLMQRVRDECGDVGTFQLAGKQVVLLSGSHANEFFFRAGDDDLDQAKAYPFMTPIFGEGVVFDASPERRKEMLHNAALRGEQMKGHAATIEDQVRRMIAD----WGEAGEIDLLDFFAELTIYTSSACLIGKKFRDQLDGRFAKLYHELERGTDPLAYVDPYLPIESFRRRDEARNGLVALVADIMNGRIANPPDMLDVLIAVKAETGRFSADEITGMFISMMFAGHHTSSGTASWTLIELMRHRDAYAAVIDELDELY---------GDGRSVSFHALRQIPQLENVLKETLRLHPPLIIL---MRVAKGEFEVQGHRIHEGDLVAASPAISNRIPEDFPDPHDFVPARYEQPR-------QEDLLNRWTWIPFGAGRHRCVGAAFAIMQIKAIFSVLLREYEFEMAQPPES--YRNDHSKMVVQLAQPACVRYRRRT

3czhA

0.16

0.20

0.86

2.31

Download

-------------------------------------------GFPPGPP-GLPFIGNIYSLSELPHVYMRKQSQVYGEIFSLDLGGISTVVLNGYDVVKECLVHQSIFADRPCLFMKMTKMGGLLNSRYGRGWVDHRRLAVSFRFGYGQKSFESKILEETKFFNDAIE--TYKGRPFDFKQLITNAVSNITNLIIFGERFTYEDTD-FQHMIELVVFLYNAFPWIGILPFGKH-QQLFAVVYDFLSRLIEKASVNRKLPQHFVDAYLDEMDPSSTFSKENLIFSVGELIIAGTETTTNVLRWAILFMALYPNIQGQVQKEIDLIMGPNG---------KPSWDDKCKMPYTEAVLHEVLRFCNIVPLG--IFHATSEDAVVRGYSIPKGTTVITNLYSVHFDEKYWRDPEVFHPERFLDSSGY--------FAKKEALVPFSLGRRHCLGEHLARMEMFLFFTALLQRFHLHFPHELV--PDLKPRLGMTLQPQ-PYLICAERRH

3daxA

0.41

0.39

0.91

7.92

Download

-------------------------------------SRRRQTGEPPLENGLIPYLGCALQFGANPLEFLRANQRKHGHVFTCKLMGKYVHFITNPLSYHKVLCHGKYFDWKKFHFATSAKAFGHRSIMDGNTTENINDTFIKTLQGHALNSLTESMMENLQRIMRA-------WVTEGMYSFCYRVMFEAGYLTIFGRDLRDTQKAHILNNLDNFKQFDKVFPALVAGLPIHMFRTAHNAREKLAESLRHENLQKRESISELISLRMFLNDTLSTFDDLEKAKTHLVVLWASQANTIPATFWSLFQMIRNPEAMKAATEEVKRTLENAGQKVSEGNPICLSQAELNDLPVLDSIIKESLRLSSASLNIRTAKEDFTLHLEDGSYNIRKDDIIALYPQLMHLDPEIYPDPLTFKYDRYLENGKTKTTFYCNGLKLKYYYMPFGSGATICPGRLFAIHEIKQFLILMLSYFELELIEGQAPPLDQSRAGLGILPPLNDIEFKYKFKH

3czhA

0.16

0.20

0.86

2.42

Download

-------------------------------------------GFPPGPPGL-PFIGNIYSLSELPHVYMRKQSQVYGEIFSLDLGGISTVVLNGYDVVKECLVHQSIFADRPPLFMKMTKMGGLLNSRYGRGWVDHRRLAVSFYFGYGQKSFESKILEETKFFNDAIE--TYKGRPFDFKQLITNAVSNITNLIIFGERFTYEDTDFQHMIELFSVFLYNAFPWIGILPFGKHQQLFRAVVYDFLSRLIEKASVNRQLPQHFVDAYLDEMDQSSTFSKENLIFSVGELIIAGTETTTNVLRWAILFMALYPNIQGQVQKEIDLIMG---------PNGKPSWDDKCKMPYTEAVLHEVLRFCNIVPLG--IFHATSEDAVVRGYSIPKGTTVITNLYSVHFDEKYWRDPEVFHPERFLDSS--------GYFAKKEALVPFSLGRRHCLGEHLARMEMFLFFTALLQRFHLHFPHELVP--DLKPRLGMTLQPQ-PYLICAERR-

3daxA

0.39

0.91

3.21

Download

-------------------------------------SRRRQTGEPPLENGLIPYLGCALQFGANPLEFLRANQRKHGHVFTCKLMGKYVHFITNPLSYHKVLCHGKYFDWKKFHFATSAKGHRSIDPMDGNTTENINDTFIKTLQGHALNSLTESMMENLQRIM-------RAWVTEGMYSFCYRVMFEAGYLTIFGRDLTRRDTAHILNNLDNFKQFDKVFPALVAGLPIHMFRTAHNAREKLAESLRHENLQKRESISELISLRMFLNDTLSTFDDLEKAKTHLVVLWASQANTIPATFWSLFQMIRNPEAMKAATEEVKRTLENAGQKVSLGNPICLSQAELNDLPVLDSIIKESLRLSSASLNIRTAKEDFTLHLEDGSYNIRKDDIIALYPQLMHLDPEIYPDPLTFKYDRYLDENGKTKTFYCNGLKLKYYYMPFGSGATICPGRLFAIHEIKQFLILMLSYFELELIEGQAPPLDQSRAGLGILPPLNDIEFKYKFKH

1e9xA

0.19

0.20

0.87

2.53

Download

---------------------------------------MSAVALPRVSGG-HDEHGHLEEFRTDPIGLMQRVRDECGDVGTFQLAGKQVVLLSGSHANEFFFRAGDDLDQAKAYPFMTP-GEGVVF--DASPERRKEMLHNAALRGEQMKGHAATIEDQVRRMIADW----GEAGEIDLLDFFAELTIYTSSACLIGKKFRDQLDGRFAKLYHELERGTDPLAYVDPYLPIESFRRRDEARNGLVALVADIMNGRIASDRDMLDVLIAVKTGTPRFSADEITGMFISMMFAGHHTSSGTASWTLIELMRHRDAYAAVIDELDELYGD---------GRSVSFHALRQIPQLENVLKETLRLHPPLIIL---MRVAKGEFEVQGHRIHEGDLVAASPAISNRIPEDFPDPHDFVPARYEQPR-------QEDLLNRWTWIPFGAGRHRCVGAAFAIMQIKAIFSVLLREYEFEMAQPP--ESYRNDHSKMVVQLAQPACVRYRRRT

(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)

Rank	TM-score	RMSD^a	IDEN^a	Cov.	PDB Hit
1	0.9062	0.72	0.40	0.91	3daxA Model1

2	0.8324	2.28	0.30	0.89	2iagA Model1

3	0.7936	2.49	0.32	0.86	3b98A Model1

4	0.7419	3.85	0.18	0.87	1tqnA Model1

5	0.7387	3.62	0.14	0.85	1dt6A Model1

6	0.7372	3.99	0.16	0.87	2hi4A Model1

7	0.7356	3.69	0.14	0.85	1z10A Model1

8	0.7350	3.47	0.18	0.84	1e9xA Model1

9	0.7336	3.60	0.15	0.85	2ojdA Model1

10	0.7322	3.24	0.18	0.83	2ve3A Model1

Structural alignment using TM-align
------------------------------------S-RRRQTGEPPLENGLIPYLGCALQFGANPLEFLRANQRKHGHVFTCKLMGKYVHFITNPLSYHKVLCHGKYFDWKKFHFATSAKAFGHRSIDPMDGNTTENINDTFIKTLQGHALNSLTESMMENLQRIMR-------AWVTEGMYSFCYRVMFEAGYLTIFGRDLTRRDTQKAHILNNLDNFKQFDKVFPALVAGLPIHMFRTAHNAREKLAESLRHENLQKRESISELISLRMFLNDTLSTFDDLEKAKTHLVVLWASQANTIPATFWSLFQMIRNPEAMKAATEEVKRTLENAGQKVSLEGNPICLSQAELNDLPVLDSIIKESLRLSSASLNIRTAKEDFTLHLEDGSYNIRKDDIIALYPQLMHLDPEIYPDPLTFKYDRYLDENGKTKTTFYCNGLKLKYYYMPFGSGATICPGRLFAIHEIKQFLILMLSYFELELIEGQAKCPPLDQSRAGLGILPPLNDIEFKYKFKHHH MAGEVSAATGRFSLERLGLPGLALAAALLLLALCLLVRRTRRPGEPPLIKGWLPYLGVVLNLRKDPLRFMKTLQKQHGDTFTVLLGGKYITFILDPFQYQLVIKNHKQLSFRVFSNKLLEKAF-S-ISQLQKNHDMNDELHLCYQFLQGKSLDILLESMMQNLKQVFEPQLLKTTSWDTAELYPFCSSIIFEITFTTIYGKVIVCDNN--KFISELRDDFLKFDDKFAYLVSNIPIELLGNVKSIREKIIKCFSSEKLAKMQGWSEVFQSRQDVLEKYYVHEDLEIGAHHLGFLWASVANTIPTMFWAMYYLLRHPEAMAAVRDEIDRLLQSTGQKKGS-GFPIHLTREQLDSLICLESSIFEALRLSSYSTTIRFVEEDLTLSSETGDYCVRKGDLVAIFPPVLHGDPEIFEAPEEFRYDRFIEDGKKKT-TFFKRGKKLKCYLMPFGTGTSKCPGRFFALMEIKQLLVILLTYFDLEIIDD-KPI-GLNYSRLLFGIQYPDSDVLFRYKVKS--

--------------------------------------RTRRPGEPPLDLGSIPWLGYALDFGK-----DAASFLTRMKEKHGDIFTILVGGRYVTVLLDPHSYDAVVWEPRTRLDFHAYAIFLMERIFDVQLPHY---SPSDEKARMKLTLLHRELQALTEAMYTNLHAVLLGDATEAGSGWHEMGLLDFSYSFLLRAGYLTLYGIEALPRTHESQAQDRVHSADVFHTFRQLDRLLPKLARGSLSVGDKDHMCSVKSRLWKLLSPARLARRAHRSKWLESYLLHLE-EMGVSEEMQARALVLQLWATQGNMGPAAFWLLLFLLKNPEALAAVRGELESILWQ---------TTLPQ-KVLDSTPVLDSVLSESLRLTAAPFITREVVVDLAMPMADGREFNLRRGDRLLLFPFLSPQRDPEIYTDPEVFKYNRFLNPDGSEKKDFYKDGKRLKNYNMPWGAGHNHCLGRSYAVNSIKQFVFLVLVHLDLELINADVEIPEFDLSRYGFGLMQPEHDVPVRYRIRPH MAGEVSAATGRFSLERLGLPGLALAAALLLLALCLLVRRTRRPGEP-PLIK-G--W-LPYLGVVLNLRKDPLRFMKTLQKQHGDTFTVLLGGKYITFILDPFQYQLVIKNH-KQLSFRVFSNKLLEKA-FSISQLQKNHDMNDELHLCYQFLQGKSLDILLESMMQNLKQVFEPQLL-KTTSWDTAELYPFCSSIIFEITFTTIYGKVI-----VC-DNN-KFISELRDDFLKFDDKFAYLVSNIPIE-LLGNVKSIREKIIKCFSSEKLAKMQGWSEVFQSRQDVLEKYYVHEDLEIGAHHLGFLWASVANTIPTMFWAMYYLLRHPEAMAAVRDEIDRLLQSTGQKKGSGFPIHLTREQLDSLICLESSIFEALRLSSYSTTIRFVEEDLTLSSET-GDYCVRKGDLVAIFPPVL-HGDPEIFEAPEEFRYDRFIEDGKKKT-TFFKRGKKLKCYLMPFGTGTSKCPGRFFALMEIKQLLVILLTYFDLEIIDDK-PIGLN-YSRLLFGIQYPDSDVLFRYKVK-S

--------------------------------------RTRRRNEPPLDKGMIPWLGHALEFGK-----DAAKFLTRMKEKHGDIFTVRAAGLYITVLLDSNCYDAVLSDVASLDQTSYAQVLMKRIFNMIL--PSHNPESEKKRAEMHFQGASLTQLSNSMQNNLRLLMTPSEMGLKTSEWKKDGLFNLCYSLLFKTGYLTVFGAEN-NN-SAALTQIYEEFRRFDKLLPKLARTTVNKEEKQIASAAREKLWKWLTPSGLDRKPREQSWLGSYVKQLQ-DEGIDAEMQRRAMLLQLWVTQGNAGPAAFWVMGYLLTHPEALRAVREEIQ------------------------NTPVFDSVLWETLRLTAAALITRDVTQDKKICLSNGQEYHLRRGDRLCVFPFISPQMDPQIHQQPEMFQFDRFLNADRTEKKDFFKNGARVKYPSVPWGTEDNLCPGRHFAVHAIKELVFTILTRFDVELCDKNATVPLVDPSRYGFGILQPAGDLEIRYRIR- MAGEVSAATGRFSLERLGLPGLALAAALLLLALCLLVRRTRRPGEPPLIKG-----WLPYLGVVLNLRKDPLRFMKTLQKQHGDTFTVLLGGKYITFILDPFQYQLVIKNHKQLSFRVFSNKLLEKAFSISQLQKNHDMNDELHLCYQFLQGKSLDILLESMMQNLKQVFEP--QLLKTTSWDTAELYPFCSSIIFEITFTTIYGKVIVCDNNKFISELRDDFLKFDDKFAYLVSNIPIE-LLGNVKSIREKIIKCFSSEKLAKMQGWSEVFQSRQDVLEKYYVHEDLEIGAHHLGFLWASVANTIPTMFWAMYYLLRHPEAMAAVRDEIDRLLQSTGQKKGSGFPIHLTREQLDSLICLESSIFEALRLSSYSTTIRFVEEDLTLSSET-GDYCVRKGDLVAIFPPVL-HGDPEIFEAPEEFRYDRFIEDGKKKTT-FFKRGKKLKCYLMPFGTGTSKCPGRFFALMEIKQLLVILLTYFDLEIIDD-KPI-GLNYSRLLFGIQYPDSDVLFRYKVKS

--------------------------------H-SHG-LFKK-LGIPGPTPLPFLGNILSY-H-KGFCMFDMECHKKYGKVWGFYDGQQPVLAITDPDMIKTVLVKECYSVFTNRR-PFGPVGFMKSAISIAEDEEWKRLRSLLSPTFTSGKLKEMVPIIAQYGDVLVRNLRREAETGKPVTLKDVFGAYSMDVITSTSFGVNI-DSLNNPQDPFVENTKKLLRFDFLDPFFLSITVFPFLIPILEVLN-ICVFPREVTNFLRKSVKRMKESRLEDTQKHRVDFLQLMIDSQNSSHKALSDL--ELVAQSIIFIFAGYETTSSVLSFIMYELATHPDVQQKLQEEIDAVLP----NK----APPT-YDTVLQMEYLDMVVNETLRLFPIAMRLERVCKKDVEIN----GMFIPKGVVVMIPSYALHRDPKYWTEPEKFLPERFSK---KNKDNI-----DPYIYTPFGSGPRNCIGMRFALMNMKLALIRVLQNFSFKPCKETQIPLKLSLGGL----LQPEKPVVLKVESRDGT MAGEVSAATGRFSLERLGLPGLALAAALLLLALCLLVRRTRRPGEPPLIKGW-LPYLGVVLNLRKDPLRFMKTLQKQHGDTFTVLLGGKYITFILDPFQYQLVIKNHKQLSFRVFSNKLLEKAFSISQL--QKNHDMNDELHLCYQFLQGKSLDILLESMMQNLKQVFEPQLLKTTSWDTAELYPFCSSIIFEITFTTIYGKVIVCDNNKFISELRDDFLKFDDKFA-Y-LVS-NI----P---I--E-LLGNVKSIREKIIKCFSSEKLA-KM----QGWSEVFQSRQDVLE---KYYVHEDLEIGAHHLGFLWASVANTIPTMFWAMYYLLRHPEAMAAVRDEIDRLLQSTGQKKGSGFPIHLTREQLDSLICLESSIFEALRLSS-YSTTIRFVEEDLTLSSETGDYCVRKGDLVAIFPPVLHGDPEIFEAPEEFRYDRFIEDGKKKTTFFKRGKKLKCYLMPFGTGTSKCPGRFFALMEIKQLLVILLTYFDLEIID-D-KPIGLNYSRLLFGIQYPDSDVLFRYKV--KS

-----------------------------------------P-PGPTPFPIIGNILQ--ID--AKDISKSLTKFSECYGPVFTVYLGMKPTVVLHGYEAVKEALVDLGEEFAG-RGSVPILEKVSKGLGIAFSNAKTWKEMRRFSLMTLRNFGMGKRSIEDRIQEEARCLVEELR-KTN-ASPCDPTFILGCAPCNVICSVIFHNRF-DYKDEEFLKLMESLHENVELLGT-PLDYFPGIHKTLLKNADYIKNFIMEKVKEHQKLLDVNNPRDFIDCFLIKMEQENNLEFT-LESLVIAVSDLFGAGTETTSTTLRYSLLLLLKHPEVAARVQEEIERVIG---RHR-----SPC-MQDRSRMPYTDAVIHEIQRFIDLLPTNLPHAVTRDVRFR----NYFIPKGTDIITSLTSVLHDEKAFPNPKVFDPGHFLDESGNFKKS---------DYFMPFSAGKRMCVGEGLARMELFLFLTSILQNFKLQSLVEPKDLDITAVVNGF---VSVP-PSYQLCFIPIHH MAGEVSAATGRFSLERLGLPGLALAAALLLLALCLLVRRTRRPGEPPLIKG-WLPYLGVVLNLRKDPLRFMKTLQKQHGDTFTVLLGGKYITFILDPFQYQLVIKNHKQLSFRVFSNKLLEKA-FSISQL--QKNHDMNDELHLCYQFLQGKSL--DILLESMMQNLKQVFEPQLLKTTSWDTAELYPFCSSIIFEITFTTIYGKVIVCDNNKFISELRDDFLKFDDKFAYLVSNIPIELLGNVKSIREKIIKCFSSEKLAK--MQ---GWSEVFQSRQDVL---EKYYVHEDLEIGAHHLGFLWASVANTIPTMFWAMYYLLRHPEAMAAVRDEIDRLLQSTGQKKGSGFPIHLTREQLDSLICLESSIFEALRLSS--YSTTIRFVEEDLTLSSETGDYCVRKGDLVAIFPPVLHGDPEIFEAPEEFRYDRFIE-DGKKKTTFFKRGKKLKCYLMPFGTGTSKCPGRFFALMEIKQLLVILLTYFDLEIID-D-KP-IGLNYSRLLFGIQYPDSDVLFRYKVKS-

-------------------------------------RVPKGLKSPPEPWGWPLLGH-VLT-LGKNPHLALSRMSQRYGDVLQIRIGSTPVLVLSRLDTIRQALVRQGDDFKGRPDLYTSTLITDGQSLTFSTDSGPVWAARRRLAQNALNTFSIASDPASSSSCYLEEHVSKEAKALISRLQELMAGPGHFDPYNQVVVSVANVIGAMCFGQHF-P--ESS-DEMLSLVKNTHEFVETASSGNPLDFFPILRYLPNPALQRFKAFNQRFLWFLQKTVQEHYQDFDKNSVRDITGALFKHSKKGPRASGNLIPQE--KIVNLVNDIFGAGFDTVTTAISWSLMYLVTKPEIQRKIQKELDTVIGR-ER-------RPR-LSDRPQLPYLEAFILETFRHSSFLPFTIPHSTTRDTTLN----GFYIPKKCCVFVNQWQVNHDPELWEDPSEFRPERFLTADGTAINKPL------SEKMMLFGMGKRRCIGEVLAKWEIFLFLAILLQQLEFSVPPGVKVDLTPIYG--L-TMKHARCEHVQARRFS MAGEVSAATGRFSLERLGLPGLALAAALLLLALCLLVRRTRRPGEPPLI-KGWLPYLGVVLNLRKDPLRFMKTLQKQHGDTFTVLLGGKYITFILDPFQYQLVIKNHKQLSFRVFSNKLLEKAFS-ISQ---LQKNHDMNDELHLCYQ-FL---QGKS-----LDILLESMMQNLKQVFEPQLLKTTSWDTAELYPFCSSIIFEITFTTIYGKVIVCDNNKFISELRDDFLKFDDKFAYLV--S-NI-----P------IELLGNVKSIREKIIKCFSSEKLAKMQ--GWSEVFQSRQDVLEKY-------YVHEDLEIGAHHLGFLWASVANTIPTMFWAMYYLLRHPEAMAAVRDEIDRLLQSTGQKKGSGFPIHLTREQLDSLICLESSIFEALRLSS--YSTTIRFVEEDLTLSSETGDYCVRKGDLVAIFPPVLHGDPEIFEAPEEFRYDRFIEDGK-KKTTFFKRGKKLKCYLMPFGTGTSKCPGRFFALMEIKQLLVILLTYFDLEII-DDKPIGLNYSRLLFGIQYPDSDVLFRYKVKS

-----------------------------------------KGKLPPGPTPLPFIGNYLQLNTE----QMYNSLMKISERYGPVFTIHLGPRRVVVLCGHDAVREALVDQAEEFSGRGEQATFDWVFKGYGVVFSNGE-RAKQLRRFSIATLRDFGVGKRGIEERIQEEAGFLIDALRG-TG-GANIDPTFFLSRTVSNVISSIVFGDRF-DYKDKEFLSLLRMMLGIFQFTSTSTGQLYEMFSSVMKHLPGPQQQAFQLLQGLEDFIAKKVEHNQRTLDPNSPRDFIDSFLIRMQEEEKNPNTEFYLKNLVMTTLNLFIGGTETVSTTLRYGFLLLMKHPEVEAKVHEEIDRVIG---KNR-----QPK-FEDRAKMPYMEAVIHEIQRFGDVIPMSLARRVKKDTKFR----DFFLPKGTEVYPMLGSVLRDPSFFSNPQDFNPQHFLNEKGQFKKS--------DAFVPFSIGKRNCFGEGLARMELFLFFTTVMQNFRLKSSQSPKDIDVSPKHVG-FA-TIP-RNYTMSFLPR- MAGEVSAATGRFSLERLGLPGLALAAALLLLALCLLVRRTRRPGEPPLIKG----WLPYLGVVLNLRKDPLRFMKTLQKQHGDTFTVLLGGKYITFILDPFQYQLVIKNHKQLSFRVFSNKLLEKAFS-ISQ--LQKNHDMNDELHLCYQFLQG-KSLD-ILLESMMQNLKQVFEPQLLKTTSWDTAELYPFCSSIIFEITFTTIYGKVIVCDNNKFISELRDDFLKFDDKFA---Y--LVS-N--IPI-E---L-LGNVKSIREKIIKCFSSEKLAKMQ--GWSEVFQSRQDVLEKY-----YVHEDLEIGAHHLGFLWASVANTIPTMFWAMYYLLRHPEAMAAVRDEIDRLLQSTGQKKGSGFPIHLTREQLDSLICLESSIFEALRLSS--YSTTIRFVEEDLTLSSETGDYCVRKGDLVAIFPPVLHGDPEIFEAPEEFRYDRFIEDGKKKTTFFKRGKKLKCYLMPFGTGTSKCPGRFFALMEIKQLLVILLTYFDLEIID-D-KPIGLNYSRLLFGIQYPDSDVLFRYKVKS

---------------------------------------MSAV-ALPRVSGGHDEHGHLEEFR-T----DPIGLMQRVRDECGDVGTFQLAGKQVVLLSGSHANEFFFRAGDDDLDQAKAY-PFMTPIFGEGVV--FDASPERRKEMLHNAALRGEQMKGHAATIEDQVRRMI-ADW---GEAGEIDLLDFFAELTIYTSSACLIGKKF-RD-Q-LDGRFAKLYHELERGTDPLAYVDPYLPIESFRRRDEARNGLVALVADIMNGRIANPPTDKSDRD--MLDVLIA-VKAETGTP--RFSADEITGMFISMMFAGHHTSSGTASWTLIELMRHRDAYAAVIDELDELYGD-GR-------SVSF-HALRQIPQLENVLKETLRLHPPLIILMRVAKG-EFE-V--QGHRIHEGDLVAASPAISNRIPEDFPDPHDFVPARYEQP---RQEDL----LNRWTWIPFGAGRHRCVGAAFAIMQIKAIFSVLLREYEFEMAQPPESYRNDHSKMV--VQLAQPACVRYRRRT MAGEVSAATGRFSLERLGLPGLALAAALLLLALCLLVRRTRRPGEPPLI--KG---WLPYLGVVLNLRKDPLRFMKTLQKQHGDTFTVLLGGKYITFILDPFQYQLVIKNH-KQLSFRVFSNKLLEKAFSISQLQKNHDMN-DELHL-CYQFLQGKSLDILLESMMQNLKQVFEPQLLKTTSWDTAELYPFCSSIIFEITFTTIYGKVIVCDNNKFISELRDDFLKFDDKFAYLVS-NI-PIEL-LGNVKSIREKIIKCFSSEKLAK---M----QGWSEVFQSRQD-VLEK-----YYVHEDLEIGAHHLGFLWASVANTIPTMFWAMYYLLRHPEAMAAVRDEIDRLLQSTGQKKGSGFPIHLTREQLDSLICLESSIFEALRLSS-YSTTIRFVEEDLTLSSETGDYCVRKGDLVAIFPPVLHGDPEIFEAPEEFRYDRFIEDGKKKTTFFKRGKKLKCYLMPFGTGTSKCPGRFFALMEIKQLLVILLTYFDLEIIDDKPIGLNYSRLLFGIQYPDSDVLFRYKVKS

--------------------------------------------FPPGPPGLPFIGNIYSLAA-SSELPHVYMRKQSQVYGEIFSLDLGGISTVVLNGYDVVKECLVHQSEIFADRPCLPLFMKMTKMGGLLNSRYGR-GWVDHRRLAVNSFRYFGYGQKSFESKILEETKFFND-AIETY-KGRPFDFKQLITNAVSNITNLIIFGERF--T-YE-DTDFQHMIELFSENVELAASASVFLYNAFPWIGILPFGKHQQLFRNAAVVYDFLSRLIEKASVNRKPQLPQHFVDAYLDEMDQGKNDPSSTFSKENLIFSVGELIIAGTETTTNVLRWAILFMALYPNIQGQVQKEIDLIMG---PNG-----KPS-WDDKCKMPYTEAVLHEVLRFCNIVPLGIFHATSEDAVVR----GYSIPKGTTVITNLYSVHFDEKYWRDPEVFHPERFLDSSGYFAKK--------EALVPFSLGRRHCLGEHLARMEMFLFFTALLQRFHLHFPHELVPDLKPRLG--MT-LQP-QPYLICAERRH MAGEVSAATGRFSLERLGLPGLALAAALLLLALCLLVRRTRRPGEPPLIKG---WLPYLGVVLNLRKDPLRFMKTLQKQHGDTFTVLLGGKYITFILDPFQYQLVIKNHKQLSFRVFSNKLLEKAFS-IS---QLQKNHDMNDELHLCYQFLQGKSLDI--LLESMMQNLKQVFEPQLLKTTSWDTAELYPFCSSIIFEITFTTIYGKVIVCDNNKFISELRDDFLKFDDKFAYLV---S---N--I--P------IELLGNVKSIREKIIKCFSSEKLAKMQ--GWSEVFQSRQDVLEKY-----YVHEDLEIGAHHLGFLWASVANTIPTMFWAMYYLLRHPEAMAAVRDEIDRLLQSTGQKKGSGFPIHLTREQLDSLICLESSIFEALRLSS--YSTTIRFVEEDLTLSSETGDYCVRKGDLVAIFPPVLHGDPEIFEAPEEFRYDRFIEDGKKKTTFFKRGKKLKCYLMPFGTGTSKCPGRFFALMEIKQLLVILLTYFDLEII-DDKPIGLNYSRLLFGIQYPDSDVLFRYKVKS

N-----------------------------------------SLPIPPGDFGLPWLGETLNFLND---GDFGKKRQQQ--F-GPIFKTRLFGKNVIFISGALANRFLFTKEQETFQA-TWPLSTRILLGPNALATQMGE-IHRSRRKILYQAF---LPRTLDSY-LPKMDGIVQGYLEQWGKANEVIWYPQLRRMTFDVAATLFMGEK--V--SQN-PQLFPWFETYIQGLFSL--PIPLPNTLFGKSQRARALLLAELEKIIKARQQQPPSEEDALGILLAARDDNNQPLS-LPELKDQILLLLFAGHETLTSALSSFCLLLGQHSDIRERVRQEQNKL-Q---LSQ----ELTAE--TLKKMPYLDQVLQEVLRLIPPVGGGFRELIQ-DCQ-F-QG-FHFPKGWLVSYQISQTHADPDLYPDPEKFDPERFTPD---GSATH----NPPFAHVPFGGGLRECLGKEFARLEMKLFATRLIQQFDWTLLPGQNLELVVTP----SPRPKDNLRVKLHSL- -MAGEVSAATGRFSLERLGLPGLALAAALLLLALCLLVRRTRRPGEPPLIKG----WLPYLGVVLNLRKDPLRFMKTLQKQHGDTFTVLLGGKYITFILDPFQYQLVIKNHKQLSFRVFSNKLLEKAFSIS---QLQKNHDMNDELHLCYQFLQGKSLDILLESMMQNLKQVFEPQLLKTTSWDTAELYPFCSSIIFEITFTTIYGKVIVCDNNKFISELRDDFLKFDDKFAYLVSNIPIE-L-LGNVKSIREKIIKCFSSEKLAK--M-QGWSEVFQSRQDVLE--KYYVHEDLEIGAHHLGFLWASVANTIPTMFWAMYYLLRHPEAMAAVRDEIDRLLQSTGQKKGSGFPIHLTREQLDSLICLESSIFEALRLSS-YSTTIRFVEEDLTLSSETGDYCVRKGDLVAIFPPVLHGDPEIFEAPEEFRYDRFIEDGKKKTTFFKRGKKLKCYLMPFGTGTSKCPGRFFALMEIKQLLVILLTYFDLEIIDDKPIGLNYSRLLFGIQYPDSDVLFRYKVKS

(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)	RMSD^a is the RMSD between residues that are structurally aligned by TM-align.
(d)	IDEN^a 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

Rank	TM-score	RMSD^a	IDEN^a	Cov.	EC-Score	PDB Hit	EC No.
1	0.8358	2.22	0.31	0.89	1.6123	3b6hB	5.3.99.4

2	0.7408	3.76	0.18	0.86	1.1104	2j0cD	1.14.14.1

3	0.7371	3.77	0.18	0.85	1.1062	1w0gA	1.14.13.67	1.14.13.97

4	0.7314	3.41	0.18	0.83	1.0833	2w0bA	1.14.13.70

5	0.7372	3.99	0.16	0.87	1.0504	2hi4A	1.14.14.1

(a)	Ranking is based on EC-score, which is a confidence score for the Enzyme Classification (EC) Number prediction.
(b)	RMSD^a is the RMSD between models and the PDB structure in the structurally aligned regions by TM-align.
(c)	IDEN^a 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, IDEN^a,RMSD^a 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

Rank	TMscore	RMSD^a	IDEN^a	Cov.	PDB Hit	Fh-Score	Associated GO Terms
1	0.9062	0.72	0.40	0.91	3daxA	2.09	GO:0005506 GO:0008123 GO:0008395 GO:0009055 GO:0020037 GO:0043169 GO:0006066 GO:0006707 GO:0008203 GO:0009056 GO:0009058 GO:0009987 GO:0044248 GO:0044249 GO:0055114 GO:0005622 GO:0005623 GO:0005737 GO:0005783 GO:0005789 GO:0005792 GO:0012505 GO:0016020 GO:0042175 GO:0043229 GO:0044432 GO:0044444
2	0.8358	2.22	0.31	0.89	3b6hB	1.61	GO:0004497 GO:0005506 GO:0008116 GO:0009055 GO:0020037 GO:0043169 GO:0001516 GO:0006693 GO:0009058 GO:0009987 GO:0032787 GO:0044249 GO:0046394 GO:0005622 GO:0005623 GO:0005737 GO:0005783 GO:0005788 GO:0005789 GO:0012505 GO:0016020 GO:0016021 GO:0031974 GO:0042175 GO:0043229 GO:0044432 GO:0044444
3	0.7499	2.15	0.33	0.80	3b99B	1.49	GO:0004497 GO:0005506 GO:0008116 GO:0009055 GO:0020037 GO:0043169
4	0.4531	0.47	0.44	0.45	3daxA	1.14	GO:0005506 GO:0008123 GO:0008395 GO:0009055 GO:0020037 GO:0043169 GO:0006066 GO:0006707 GO:0008203 GO:0009056 GO:0009058 GO:0009987 GO:0044248 GO:0044249 GO:0055114 GO:0005622 GO:0005623 GO:0005737 GO:0005783 GO:0005789 GO:0005792 GO:0012505 GO:0016020 GO:0042175 GO:0043229 GO:0044432 GO:0044444
5	0.7449	3.85	0.18	0.87	2v0mC	1.12	GO:0004497 GO:0005506 GO:0009055 GO:0016712 GO:0019825 GO:0020037 GO:0033780 GO:0043169 GO:0050591 GO:0006629 GO:0055114 GO:0005622 GO:0005623 GO:0005737 GO:0005783 GO:0005789 GO:0005792 GO:0009986 GO:0012505 GO:0016020 GO:0016021 GO:0042175 GO:0043229 GO:0044432 GO:0044444
6	0.7315	3.19	0.18	0.82	2ve4B	1.09	GO:0004497 GO:0005506 GO:0009055 GO:0020037 GO:0043169 GO:0055114
7	0.7338	3.38	0.17	0.84	2vkuA	1.08	GO:0004497 GO:0005506 GO:0008398 GO:0009055 GO:0020037 GO:0032451 GO:0043169 GO:0006066 GO:0009058 GO:0009987 GO:0016125 GO:0016126 GO:0044249 GO:0055114 GO:0005622 GO:0005623 GO:0005737
8	0.7372	3.99	0.16	0.87	2hi4A	1.05	GO:0004497 GO:0005506 GO:0009055 GO:0016712 GO:0019825 GO:0020037 GO:0032451 GO:0043169 GO:0006091 GO:0006725 GO:0009058 GO:0009410 GO:0009791 GO:0009987 GO:0019222 GO:0019748 GO:0035295 GO:0044249 GO:0046483 GO:0048856 GO:0051186 GO:0055114 GO:0060255 GO:0065007 GO:0005622 GO:0005623 GO:0005737 GO:0005783 GO:0005789 GO:0005792 GO:0012505 GO:0016020 GO:0042175 GO:0043229 GO:0044432 GO:0044444
9	0.7509	3.58	0.15	0.86	1nr6A	1.05	GO:0004497 GO:0005506 GO:0009055 GO:0020037 GO:0043169 GO:0055114 GO:0005622 GO:0005623 GO:0005737 GO:0005783 GO:0005789 GO:0005792 GO:0012505 GO:0016020 GO:0042175 GO:0043229 GO:0044432 GO:0044444
10	0.7333	3.90	0.16	0.85	1r9oA	1.04	GO:0004497 GO:0005506 GO:0009055 GO:0018675 GO:0018676 GO:0020037 GO:0033767 GO:0043169 GO:0055114 GO:0005622 GO:0005623 GO:0005737 GO:0005783 GO:0005789 GO:0005792 GO:0012505 GO:0016020 GO:0042175 GO:0043229 GO:0044432 GO:0044444

Consensus Prediction of Gene Ontology terms

Molecular Function    Biological Process Cellular Location

GO term GO-Score    GO term GO-Score GO term GO-Score

GO:0009055 1.162    GO:0055114 1.048    GO:0005737 1.146

GO:0020037 1.162    GO:0044237 0.592    GO:0005623 1.146

GO:0043169 1.162    GO:0009987 0.592    GO:0005622 1.146

GO:0004497 1.162    GO:0006629 0.474    GO:0016020 1.013

GO:0005506 1.162    GO:0044238 0.474    GO:0042175 1.013

GO:0016705 0.756    GO:0009058 0.470    GO:0005783 1.013

GO:0016709 0.473    GO:0044249 0.470    GO:0005789 1.013

GO:0016712 0.345    GO:0044255 0.408    GO:0043229 1.013

GO:0008395 0.236    GO:0006066 0.313    GO:0012505 1.013

GO:0019825 0.233    GO:0008202 0.313    GO:0044432 1.013

(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, IDEN^a, RMSD^a 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) RMSD^a is the RMSD between models and the PDB structure in the structurally aligned regions by TM-align.

(c) IDEN^a 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:

PHE:	111		SER:	115		LEU:	118		LEU:	119		LEU:	138		PHE:	223		TRP:	291
ALA:	292		ASN:	296		CYS:	449		PHE:	489

Identified analogs with similar binding site:

Rank PDB
Hit TM-score RMSD^a IDEN^a Cov. BS-score Download
Complex Binding site residues on the predicted model

1 2w0aA 0.7123 3.34 0.18 0.81 0.43 Download 111,115,118,119,138,223,291,292,296,449,489

2 1suoA 0.7369 3.71 0.15 0.85 0.39 Download 118,223,227,291,292,296,449,489

3 2q9fA 0.7134 3.39 0.16 0.81 0.38 Download 24,28,86,87,114,118,121,227,228,229,291,292,293,367,488,489,490

4 2vkuA 0.7338 3.38 0.17 0.83 0.37 Download 352,353,356,357,439,442,443,444,452,456,460

5 2iagA 0.8324 2.28 0.30 0.89 0.35 Download 119,138,141,145,289,292,293,296,297,300,360,366,367,441,442,443,447,448,449,450,451,454,455,458,491

6 1n6bA 0.7483 3.54 0.15 0.85 0.31 Download 118,119,121,122,123,219,220,223,284,287,288,291,486,489

7 2w0aA 0.7123 3.34 0.18 0.81 0.31 Download 111,142,145,289,292,293,295,296,297,299,300,360,366,368,440,441,442,443,444,445,446,447,448,449,450,451,452,454,455,458,491

8 2hi4A 0.6244 3.64 0.16 0.72 0.30 Download 119,123,219,220,223,287,288,291,292,295,486,489,490

9 2ve3A 0.6402 3.27 0.18 0.72 0.27 Download 56,223,291,292,296,365,366,367,396,486,487,488,489,490,492

10 1tqnA 0.7419 3.85 0.18 0.87 0.25 Download 111,115,138,141,145,289,292,293,296,297,300,366,368,441,442,443,444,447,448,449,450,451,454,455,491

(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, IDEN^a 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) RMSD^a the RMSD between residues that are structurally aligned by TM-align.

(d) IDEN^a 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).