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I-TASSER results for job id S34333

  Submitted Sequence

>your_protein
MEPKRSRLVVCAPEPSHAREFPDVAVFSGGRANASQAERLARAVGRVLADRGVTGGARVR
LTMANCADGPTLVQINLQVGDTPLRAQAATAGIDDLRPALIRLDRQIVRASAQWCPRPWP
DRPRRRLTTPAEALVTRRKPVVLRRATPLQAIAAMDAMDYDVHLFTDAETGEDAVVYRAG
PSGLRLARQHHVFPPGWSRCRAPAGPPVPLIVNSRPTPVLTEAAAVDRAREHGLPFLFFT
DQATGRGQLLYSRYDGNLGLITPTGDGVADGLA

  Predicted Secondary Structure

Sequence                  20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220                 240                 260
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |              
MEPKRSRLVVCAPEPSHAREFPDVAVFSGGRANASQAERLARAVGRVLADRGVTGGARVRLTMANCADGPTLVQINLQVGDTPLRAQAATAGIDDLRPALIRLDRQIVRASAQWCPRPWPDRPRRRLTTPAEALVTRRKPVVLRRATPLQAIAAMDAMDYDVHLFTDAETGEDAVVYRAGPSGLRLARQHHVFPPGWSRCRAPAGPPVPLIVNSRPTPVLTEAAAVDRAREHGLPFLFFTDQATGRGQLLYSRYDGNLGLITPTGDGVADGLA
PredictionCCCCCCSSSSSCCCCCCCCCCCCSSSSCCCCCCHHHHHHHHHHHCCSSSSCCCCCCSSSSSSSCCCCCCCSSSSSSSSCCCSSSSSSSCCCCHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCSSSSSSSCCCCCCCHHHHHHHHHHCCCCSSSSSCCCCCCSSSSSSCCCCCSSSCCCCCSSCCCCCCCCCCCCCCSCSSSCCCCCCCCCHHHHHHHHHHCCCCSSSSSSCCCCCSSSSSSSSCCCSSSSSSCCCCCCCCCC
Conf.Score987642368976886432469973897278469899999998632026314665411799997026768759999996399689876400238888999999998999987641489888777787788998678996120479999999999987438806999706889557999718985344047754566657888866796706971465687589999999887089869998457683579999726971478556775233469

  Top 5 Models predicted by I-TASSER

Download Model 1 Download Model 2 Download Model 3 Download Model 4 Download Model 5
C-score=-2.96
 C-score=-4.50
 C-score=-4.61
 C-score=-4.48
 C-score=-3.81
 
Estimated accuracy of Model1: 0.38±0.13 (TM-score)    13.0±4.2Å (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
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |             
Sec.Str
Seq		CCCCCCSSSSSCCCCCCCCCCCCSSSSCCCCCCHHHHHHHHHHHCCSSSSCCCCCCSSSSSSSCCCCCCCSSSSSSSSCCCSSSSSSSCCCCHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCSSSSSSSCCCCCCCHHHHHHHHHHCCCCSSSSSCCCCCCSSSSSSCCCCCSSSCCCCCSSCCCCCCCCCCCCCCSCSSSCCCCCCCCCHHHHHHHHHHCCCCSSSSSSCCCCCSSSSSSSSCCCSSSSSSCCCCCCCCCC
MEPKRSRLVVCAPEPSHAREFPDVAVFSGGRANASQAERLARAVGRVLADRGVTGGARVRLTMANCADGPTLVQINLQVGDTPLRAQAATAGIDDLRPALIRLDRQIVRASAQWCPRPWPDRPRRRLTTPAEALVTRRKPVVLRRATPLQAIAAMDAMDYDVHLFTDAETGEDAVVYRAGPSGLRLARQHHVFPPGWSRCRAPAGPPVPLIVNSRPTPVLTEAAAVDRAREHGLPFLFFTDQATGRGQLLYSRYDGNLGLITPTGDGVADGLA
11l4sA 0.09 0.08 0.39 3.00Download ----------------------TMNITSKQEITPAIRQHVADRLAKLEKWQTHLINPHIILSKEP---QGFVADATINTPNGVLVASGMYTAINELINKLERQLNKLQHKGEARRAATSVKD--ANFVEEVEEE-------------------------------------------------------------------------------------------------------------------------------------------
21uteA 0.10 0.23 0.86 1.21Download HDAKDKRFQETFEDVFSDPSLRNVPWHVLAGGNVSAQIAYSKISKRWNFPSPY-----YRLRFKIPRSNVSVAIFMLDLCGNSDDFVSQQPERPRNLALARTQLAWIKKQLAAAKEDYVLVAGHYPVWSIAEH--------GPTHCLVKQLLPLLTTHKVTAYLC--GHDHNLQYLQDENGLGFVLSGAGNFMDPSKKHLRKVPNGYLRFHFGAEN----------------SLGGFAYVEITPKEMSVTYIEASGKFKTKLPRR-------A
31imuA 0.12 0.06 0.37 1.67Download ---------------------MTLNITSKQDITPAIREHLEERLAKLGKWQTQLISPHFVLNKVPNG---FSVEASIGTPLGNLLASATSDAINEVEEKLERQLNKLQKSESRRADERLKDSFEN----------------------------------------------------------------------------------------------------------------------------------------------------
41vhoA 0.10 0.19 0.95 1.20Download -------------ETGKLLELSNLDGPSGYE--TNVVSYIKSVIEPFVDEAKTTRHGSLIGYKKGKGIGKLAFFAHVPVYASKVRIYTKNGIERGVIGLAPHLQDSESRKKVPTYDEIFVDLSLCERGVRVGDIAVTNGKVVGKALDNRASCGVLEFLKRYVVFSVQEETGCLGALTGAYEINPDAAIVDVTFASEPPFSDHIELGKGPVIGLGPVVDRNLVQKIIEIAKKHNVSLQEEAVGGRTDFVQLVRNGVRTSLISIPLKYHTPVEVD
51l4sA 0.09 0.08 0.39 1.35Download ----------------------TMNITSKQEITPAIRQHVADRLAKLEKWQTHLINPHIILSKEPQG---FVADATINTPNGVLVASGKHEAINELINKLERQLNKLQHKGEARRAATSVKDANFVEEVEEE---------------------------------------------------------------------------------------------------------------------------------------------
61mpyA 0.11 0.19 0.89 1.18Download MNKGVMRPGH-------------VQLRVLD--MSKALEHYVELLGLIEMDRDDQGRV---YLKAWTEVDKFSLVLREADEPGMDFMGFKVVDEDALRQLERDLMAYYADKEYTGKWGLNDVNPEAWPRDLKGMAAVRFDHALMYGDELPATYDLFKVLGFYLAEQVLDENGTRVAQFLSLST-----KAHDVAF------IHHPEKGRLHHVSFHLETWEDLLRAADLISMTDTSIDITRHGLTHGKTIYFFDPSGNRNEVFCGGDYNYPDLT
72ywqA 0.12 0.09 0.29 4.39Download ----------------------NIKLIGRNEITDAIRDYVEKKLARLDRYQDGEL-AKVVLSLAG----KARAEIQVDLPGGLVRVEEEDADLYAAIDRLETQKRFR----------------------------------------------------------------------------------------------------------------------------------------------------------------------
81yvvA 0.09 0.23 0.90 1.10Download TVPAGHQVHLFDKSRGSGGRSSDAGALDGAQYFTARDRRFATAVKQWQAQGHVAEWTPLLYNFHAGRLSP-------SPDEQVRWVGKPGS-------------AITRARGDPVSFSCRRGEEHWNLLDAEGQNHGPFSHVIIATAAAPKLASVVAGVKDPTWAVALAFETPL-----QTPQGCFVQDSPLDWLARNRSKPERDDTLDTWILHATQNLDASREQVIEHLHGAFAELI---DCTPAPVFSLAHRWLYARPAGAHEWGALSDADL
92ywqA 0.12 0.09 0.29 3.99Download ----------------------NIKLIGRNEITDAIRDYVEKKLARLDRYQDGEL-AKVVLSLAG----KARAEIQVDLPGGLVRVEEEDADLYAAIDRLETQKRFR----------------------------------------------------------------------------------------------------------------------------------------------------------------------
101atiA 0.12 0.20 0.95 0.57Download TSRKLGFGIAQINEITPRNFIFEIEYFVRPGEDEYWHRYWVEERLKWWQEMGLSRE-NLVPYQSSAHYAKATVDILYRFPHGSLELEGIAQRTDFDLGSHTKDQEALGITARVLRNEHSTQRLAYRDPETGKWFVPYVIEPS---AGVDRGVLALLA---EAFTREELPNGEERIVLKLKPQ---LAPIKVAVIPLVKNRPEITEKRLKARLLALGLGRVNIGKAYRRHDEVGTPFAVTVDTTRLKDTVTVRDRDMEQIRLH---DELEGFLR
(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: HHSEARCH   2: PROSPECT2   3: SP3   4: PROSPECT2   5: PPA-I   6: PROSPECT2   7: HHSEARCH I   8: PROSPECT2   9: HHSEARCH II   10: MUSTER   

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

RankTM-scoreRMSDaIDENaCov.PDB
Hit
10.8272 1.60 0.10 0.861uteA
Model1
 
20.6706 3.01 0.09 0.784kbpA
Model1
 
30.6556 3.24 0.08 0.771xzwA
Model1
 
40.5932 3.55 0.03 0.722dxlA
Model1
 
50.5862 3.95 0.04 0.752nxfA
Model1
 
60.5338 4.22 0.07 0.691ii7A
Model1
 
70.5334 3.38 0.07 0.642hy1A
Model1
 
80.5327 4.22 0.06 0.691s8eA
Model1
 
90.5282 4.13 0.06 0.691oieA
Model1
 
100.5227 3.45 0.07 0.642yvtA
Model1
 
Structural alignment using TM-align
 
PTPILRFVAVGDWGGVPNAPFHTAREMANAKAIATTVKTLGADFILSLGDNFYFTGVHDAKDKRFQETFEDVFSDPSLRNVPWHVLAGNHDHLGNVSAQIAYSKISKRWNFP-SP---Y-YRLRFKIPRSNVSVAIFMLDTVTLCGNSDDFVSQQPERPRNLALARTQLAWIKKQLAAAKEDYVLVAGHYPVWSIAEH--------GPTHCLVKQLLPLLTTHKVTAYLCG-H-DHNLQYLQDENGLGFVLSGAGNFMDPSKKHLRKVPNGYLRFHFGAE----------N--S----LGGFAYVEITPKEMSVTYIEASGKSLFKTKLPRRA------ 
---------------------------------------------------------MEPKRSRLVVCAPEPSHAREFPDVAVFSGGR--A---NASQAERLARAVGRVLADRGVTGGARVRLTMANCADGPTLVQINLQVGD---TPLRAQAATAGIDDLRPALIRLDRQIVRASAQWCPRPWPDRPRRRLTTPAEALVTRRKPVVLRRATPLQAIAAMDAMDYDVHLFTDAETGEDAVVYRAGPSGLRLARQHHVFPPGWSRCRAPAGPPVPLIVNSRPTPVLTEAAAVDRAREHGLPFLFFTDQATGRGQLLYSRYDGNLGLITPTGDG-VADGLA 
 
RDMPLDSDVFRVPPGYNAPQQVHITQGDLVGRAMIISWVTMDEPGSSAVRYWSEKNGRKRIAKGKMSTYRFFNYSSGFIHHTTIRKLKYNTKYYYEVGLRNTTRRFSFITPPQTGLDVPYTFGLIGDLGQSFDSNTTLSHYELSPKKGQTVLFVGDLSYADRYPNHDNVRWDTWGRF-TER-SVAYQPWIWTAGNHEIEFAPEINETEPFKPFSYRYH------VPYEASQSTSPFWYSIKRA------SAHIIVLSSYS------------A-YGR-GTPQYTWLKKELRKVKRSETPWLIVLMHSPLYNSYNHH-F-----MEGEAMRTKFEAWFVKYKVDVVFAG-H-VHAYERSERVSNIAYKITDGLCTPVKDQSAPVYITIGDAGNYGVIDSNMIQPQ-P-E-YSAFREAS--------------------FGHGMFDIKNRTHAHFSWNRNQDGVAVEADSVWFFNRHWYPVDDS-T 
----------------------------------------------------------------------M--EPK-------------------------------------------------------------------------------------------RSRLVVCAPEPSHAREFPDVAVFSGG--RAN-----------ASQAERLARAVGRVLADRG---VTGGARVRLTMANCADGPTLVQINLQVGDTPLRAQAATAGIDDLRPALIRLDRQIVRASAQWC---PRPWPDRPRRRLTTPAEALVTRRKPVVLRRATPLQAIAAMDAMDYDVHLFTDAETGEDAVVYR-----------------AG-PSGLRLARQHH---VFPPGWSRCRAPAGPPVPLIVNSRPTPVLTEAAAVDRAREHGLPFLFFTDQAT-GRGQLLYSRYD-G--NL-GLITPT-G--DGVADGLA 
 
LPNAEDVDMPWDSDVFAVPSGYNAPQQVHITQGDYEGRGVIISWTTPYDKAGANKVFYWSENSKSQKRAMGTVVTYKYYNYTSAFIHHCTIKDLEYDTKYYYRLGFGDAKRQFWFVTPPKPGPDVPYVFGLIGDIGQTHDSNTTLTHYEQNSAKGQAVLFMGDLSYSNRWPNHDNNRWDTWGRF-SER-SVAYQPWIWTAGNHEIDYAPDIGEYQPFVPFTNRYP------TPHEASGSGDPLWYAIKRA------SAHIIVLSSYS------------G--FVKYSPQYKWFTSELEKVNRSETPWLIVLVHAPLYNSYEAH-Y-----MEGEAMRAIFEPYFVYYKVDIVFSG-H-VHSYERSERVSNVAYNIVNAKCTPVSDESAPVYITIGDGGNSEGLASEMTQPQ-P-S-YSAFREAS--------------------FGHGIFDIKNRTHAHFSWHRNQDGASVEADSLWLLNRYW---- 
-----------------------------------------------------------------------------M--EPK-------------------------------------------------------------------------------------------RSRLVVCAPEPSHAREFPDVAVFSGG--RAN-----------ASQAERLARAVGRVLADRG---VTGGARVRLTMANCADGPTLVQINLQVGDTPLRAQAATAGIDDLRPALIRLDRQIVRASAQWC---PRPWPDRPRRRLTTPAEALVTRRKPVVLRRATPLQAIAAMDAMDYDVHLFTDAETGEDAVVYR-----------------AG-PSGLRLARQH-H--VFPPGWSRCRAPAGPPVPLIVNSRPTPVLTEAAAVDRAREHGLPFLFFTDQAT-GRGQLLYSRYD-G--NLGLITPTGDGVADGLA 
 
MLLAHISDTHFRSRGEKLYGFIDVNAANADVVSQLNALRERPDAVVVSGDIVNC-GRPEEYQVARQILGS---LN-YPLYLIPGNHDDKALFLEYLQPL--CPQLGSDANNMRCAVDDF------ATRLLFIDS-SR-AGT--SKG--W----LTDETISWLEAQLFEGGDKPATIFMHHPPLPLGNAQM-D----PIACENGH-RLLALVERFPSLTRIFCG-H-NHSLTMTQY-RQALISTLPGTVHQVPYCHEDTDP--------------Y-------Y--DL-S----PASCLMHRQVGEQWVSYQHSLAHYAGPWLYDENISCPT---------------- 
------------M-----------------------------------------EPKRSRLVVCAPEPSHAREFPDVAVFSGGR--ANASQAERLARAVGRVLADRGVTGGARVRLTMANCADGPTLVQINLQVGDTPLRAQAATAGIDDLRPALIRLDRQIVRASAQWCPRPWPDRPRRRLT-TPAEALVTRRKPVVLRRATPLQAIAAMDAMD-YDVHLFTDAETGEDAVVYRAGPSGLRLARQHHVFPPGWSRC---RAPAGPPVPLIVNSRPTPVLTEAAAVDRAREHGLPFLFFTDQATGRGQLLYSRYDGN--------------LGLITPTGDGVADGLA 
 
DPVFTFGLIADVQYADIEDGENYLRTRRRYYRGSADLLRDAVLQWRRERVQCVVQLGDIIDGHNRRR--DASDRA-LDTVAELDACSVDVHHVWGNHEFYNFSRPSLLSSR-LNSAQGSDLIGDDIYAYEFSPA---PNFRFVLLDAYDLSVIGREEESEKHTHSWRILTQHNHNLQDLNLPPVSVGLEQRFVKFN--GGFSEQQLQWLDAVLTLSDHKQERVLIFSHLPVHPCAADPI-------CLAWNHE-AVLSVLRSHQSVLCFIAG-H-DHDGGRCTDSSGAQHITLEGVIET-----------------------------------P--PHSHAFATAYLYEDR-V-KGRGR---VEDLTITYS------- 
---------------------------------------------------------------ME--PKRSRLVVCAPEPSHAREFPDVAVFSGG-RANA-SQAERLARAVGRVLAD--RGVTGGARVRLTMANCADGPTLVQINLQV-GD-T---------------P--------LRAQAA------TAGID--DLRPALIRLDRQIVRASAQWC-P-RPWPDRPRRR-LTTPAEALVTRRKPVVLRRATPLQAIAAMDAMD-YDVHLFTDAETGEDAVVYRAGPSGLRLARQHHVFPPGWSRCRAPAGPPVPLIVNSRPTPVLTEAAAVDRAREHGLPFLFFTDQATGRGQLLYSRYDGNLGLITPTGDGVADGLA 
 
MKFAHLADIHLGYEQFHKPQREEEFAEAFKNALEIAVQENVDFILIAGDLFHSSRPSPGTLKK-AIALLQI-PKEHSIPVFAIEGNHDRTQRGPSVLNLLEDFGLVYVIGMRKEKVENEYLTSERLGNGEYLVKGVYK------DLEIHGMKYM----------SSAWF-E--ANKEIL-KRLFR--PTDN-AILMLHQGVREVSEARG-E-----DYFE-IGLGDL-PE---GYLYYALG-H-IHKRYETSY-SGSPVVYPGSLERWDFG----------------DYE--VRYEWDGIKFKERYG--V----NKGFYIVED----FKPRFVEIKVRPFIDVKIKGSEEEIRKAIKRLIPLIPKNAYVRLNIGWRKPFDLTEIKELLNVEYLKIDTWRI----------------- 
-----------------------------------------------------MEPKRSRLVVCAPEPSHAREFP-DVAVFSGGR--ANA---SQAERLARAVGRVLADRGVT--------------G-GARVRLTMANCADGPTLVQINLQVGDTPLRAQAATAGIDDLRPALIRLDRQIVRASAQWCPRPWPDRPRRRL-TTPAEALVTRRKPVVLRRATPLQAIAAMDAMDYDVHLFTDAETGEDAVVYRAGPSGLRLARQHHVFPPGWSRCRAPAGPPVPLIVNSRPTPVL------TEAAAVDRAREHGLPFLFFTDQATGRGQLLYSRYDG---------------------------------------------------------------NLGLITPTGDGVADGLA 
 
PRPDYVLLHISDTHLIDADDRLGELLEQLNQSGLRPDAIVFTGDLADKGEP-AAYRK-LRGL-VEPFAAQLGAELVWVMGNHDDRAELRKFLLD------EAPSMAPLDRVCMID------GLRIIVLDTSVP-GH---HHG-EI-----RASQLGWLAEELATPAPDGTILALHHPPIPSVLDMAV-T---VELRD-QAALGRVLRGTDVRAILAG-H-LHYSTNATFVG-IPVSVASATC--------------------------------------------GCNLVHVYPDTVVHSVIP-------------------- 
------------------------------------------------MEPKRSRLVVCAPEPSHAREFPD-VAVFSGGR--ANASQAERLARAVGRVLADRGVTGGARVRLTMANCADGPTLVQINLQVGDTPLRAQAATAGIDDLRPALIRLDRQIVRASAQWCPRPWPDRPRRRLTTPAEALVTRRKPVVLRRATPLQAIAAMDAMDYDVHLFTDAETGEDAVVYRAGPSGLRLARQHHVFPPGWSRCRAPAGPPVPLIVNSRPTPVLTEAAAVDRAREHGLPFLFFTDQATGRGQLLYSRYDGNLGLITPTGDGVADGLA 
 
MKFAHLADIHLGYEQFHKPQREEEFAEAFKNALEIAVQENVDFILIAGDLFHSSRPSPGTLKK-AIALLQI-PKEHSIPVFAIEGNLVRTQRGPSVLNLLEDFGLVYVIGMRKEKVENEYLTSERLGNGEYLVKGVYK------DLEIHGMKYM-S--------S-AWFEA--NK-EIL-KRLFR--PTD-NAILMLHQGVREVSEARG-E-D---YFEI-GLGDL--PE---GYLYYALG-H-IHKRYETSY-SGSPVVYPGSLERWDFG----------------DYE--VRYEWDGIKFKERYG--V----NKGFYIVED----FKPRFVEIKVRPFIDVKIKGSEEEIRKAIKRLIPLIPKNAYVRLNIGWRKPFDLTEIKELLNVEYLKIDTWRI----------------- 
-----------------------------------------------------MEPKRSRLVVCAPEPSHAREFP-DVAVFSGGR--ANA---SQAERLARAVGRVLADRGVT--------------G-GARVRLTMANCADGPTLVQINLQVGDTPLRAQAATAGIDDLRPALIRLDRQIVRASAQWCPRPWPDRPRRRL-TTPAEALVTRRKPVVLRRATPLQAIAAMDAMDYDVHLFTDAETGEDAVVYRAGPSGLRLARQHHVFPPGWSRCRAPAGPPVPLIVNSRPTPVL------TEAAAVDRAREHGLPFLFFTDQATGRGQLLYSRYDG---------------------------------------------------------------NLGLITPTGDGVADGLA 
 
YEQDKTYKITVLHTNDHHGHFWRNEYGEYGLAAQKTLVDGIRKEVAAEGGSVLLLSGGDINTGVPES--DLQDAEPDFR--GM---NLVGYDAMAIGNHEFDNPLTVLRQQEKWAKFPLLSANIYQKSTGERLFKPWALFKR--QDLKIAVIGLTTDDTAKIGNPEY------FTDIEFRK-PADEAKLVIQELQQTEKPDIIIAATHMGHYDNG-E-------HGCNAPGDVEMARALPA-GSLAMIVGG-HSQDPVCMAAENKKQVDYVPGTPCKPDQQ-NGIWIVQAHEWG-------------------------------------------KYVGRADFEFRNGEMKMVNYQLIPVNLKKKVSERVLYTPEIAENQQMISLLSPFQNKGKAQLEVKIGETNGRLEGDRDKVRFVQTNMGRLILAAQMDRTGADFAVMSGGGIRDSIEAGDISYKNVLKVQPFGNVVVYADMTGKEVIDYLTAVAQMKPDSGAYPQFANVSFVAKDGKLNDLKIKGEPVDPAKTYRMATLNFNATGGDGYPRLDNKCGYVNTGFIDAEVLKAYIQKSSPLDVSVYEPKGEVSWQ--------------- 
------------------------------------------------------------M------EPKRSRLVVCAPEPSHAREFPDVAVFS-GG-RAN-A-SQAERLARAVGRVLADRGVTG------G-ARVRLTMANCADGPTLVQINLQVGDTPLRAQ---AATAGIDDLRPALIRLDRQIVRASAQ-W---CPRPWPDRPRRRLTTP-AEALVTRRKPVVLRRATPLQAIAAMDAMDYDVHLFTDAETGEDA------------------VVYRAGPSGLRLARQHHVFPPGWSRCRAPAGPPVPLIVNSRPTPVLTEAAAVDRAREHGLPFLFFTDQATG----RG-QLLYSRYD----------GNL---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------GLITPTGDGVADGLA 
 
PRKVLAIKNFKERFDLLPKLKGVIAEKQPDILVVVGNILKNEALEKEYERAHLARREPNRKVIHENEHYIIETLDKFFRE-IGE--L-GVKTFVVPGKNDAPLKIFLRAAYEAETAYPNIRVL--H---E-GFAGWR-----GEFEVIGFG--GLL-------TEHEFEEDFVLKYPRWYVEYILKFVNELKPR-RLVTIFYTPPIGEFVDRTPEDP-K--HHGSAVVN-TIIKSLN---PEVAIVG-HVG--KGHELV-GNTIVVNPGEFE------------------------------------------EGRYAFLDLT--QHKIKLEQFS------------------ 
-----------------------------------------------------------------MEP-KRSRLVVCAPEPSHAREFPDVAVFSGGR--AN-ASQAERLARAVG--R--VLADRGVTGGARVRLTMANCADGPTLVQINLQVGDTPLRAQAATAGIDDL-----RPALIRLDRQIVRASAQWCPRPWPDRPRRRLTT-P-AEALVT-RRKPVVLRRATPLQAIAAMDAMDYDVHLFTDAETGEDAVVYRAGPSGLRLARQHHVFPPGWSRCRAPAGPPVPLIVNSRPTPVLTEAAAVDRAREHGLPFLFFTDQATGRGQLLYSRYDGNLGLITPTGDGVADGLA 
 
(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.
10.8272 1.60 0.10 0.860.59211uteA 3.1.3.2
 
20.8248 1.56 0.09 0.860.58001warA 3.1.3.2
 
30.7642 1.92 0.10 0.810.56001qfcA 3.1.3.2
 
40.6697 3.03 0.09 0.780.46192qfrB 3.1.3.2
 
50.4455 5.93 0.11 0.750.41131de6D 5.3.1.14
 
(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
10.8220 1.67 0.10 0.861qhwA 0.60 GO:0003993 GO:0005506 GO:0043169 GO:0005622 GO:0005623 GO:0005737 GO:0005764 GO:0043229 GO:0044444
20.8272 1.60 0.10 0.861uteA 0.59 GO:0003993 GO:0005506 GO:0043169 GO:0006826 GO:0015674 GO:0005576
30.8144 1.90 0.09 0.862bq8X 0.57 GO:0003993 GO:0005506 GO:0043169 GO:0005622 GO:0005623 GO:0005737 GO:0005764 GO:0005829 GO:0016020 GO:0016021 GO:0043229
40.6708 3.00 0.09 0.784kbpD 0.46 GO:0003993 GO:0005506 GO:0008270 GO:0043169 GO:0005576
50.6577 3.35 0.07 0.781xzwB 0.42 GO:0003993 GO:0046872
60.4455 5.93 0.11 0.751de6D 0.41 GO:0008270 GO:0008740 GO:0030145 GO:0043169 GO:0006066 GO:0009987 GO:0019299 GO:0005622 GO:0005623 GO:0005737
70.4190 5.59 0.13 0.671hkwB 0.41 GO:0008836 GO:0008652 GO:0009058 GO:0009067 GO:0009089 GO:0009309 GO:0009987 GO:0043648 GO:0044249 GO:0046451
80.4178 5.60 0.12 0.662v6aH 0.40 GO:0000287 GO:0004497 GO:0016984 GO:0009058 GO:0009853 GO:0009987 GO:0015977 GO:0015979 GO:0019253 GO:0055114 GO:0005622 GO:0005623 GO:0005737 GO:0009507 GO:0009573 GO:0043229 GO:0044434 GO:0044444 GO:0048492
90.4178 5.60 0.12 0.662v6aH 0.40 GO:0000287 GO:0004497 GO:0016984 GO:0009058 GO:0009853 GO:0009987 GO:0015977 GO:0015979 GO:0019253 GO:0055114 GO:0005622 GO:0005623 GO:0005737 GO:0009507 GO:0009573 GO:0043229 GO:0044434 GO:0044444 GO:0048492
100.4189 5.91 0.12 0.691yhjA 0.39 GO:0005524 GO:0008270 GO:0008478 GO:0016301 GO:0030554 GO:0043169 GO:0008614 GO:0008615 GO:0009058 GO:0009110 GO:0009987 GO:0044249 GO:0005622 GO:0005623 GO:0005737

Consensus Prediction of Gene Ontology terms 
Molecular Function  Biological Process Cellular Location
GO termGO-Score  GO termGO-Score GO termGO-Score
GO:00038240.465  GO:00081520.354  GO:00057370.313
GO:00054880.424  GO:00099870.238  GO:00444240.313
GO:00431670.424  GO:00442380.238  GO:00056230.313
GO:00468720.424  GO:00442370.201  GO:00444640.313
GO:00431690.302  GO:00059750.198  GO:00056220.313
GO:00469140.302  GO:00090580.159  GO:00432290.196
GO:00167910.264  GO:00442490.080  GO:00432310.196
GO:00167870.264  GO:00159770.079  GO:00432260.196
GO:00039930.264  GO:00098530.079  GO:00432270.196
GO:00425780.264  GO:00159790.079  GO:00444440.196

(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:
SER:28  GLY:29  GLY:30  VAL:53  ASN:76  LEU:77  GLN:78  
VAL:79  GLY:80  ASP:81  THR:82  PRO:83  ALA:91  LEU:100  
ASP:104  ARG:122  PRO:123  ARG:124  ARG:125  LEU:143  ARG:144  
ARG:145  ALA:146  THR:147  PRO:148  LEU:149  GLN:150  LEU:164  
PHE:165  THR:166  ASP:167  ARG:188  
Identified analogs with similar binding site:

RankPDB
Hit		TM-scoreRMSDaIDENaCov.BS-scoreDownload
Complex		Binding site residues on the predicted model
11v93A0.5023 5.30 0.07 0.76 0.61Download28,29,30,53,76,77,78,79,80,81,82,83,91,100,104,122,123,124,125,143,144,145,146,147,148,149,150,164,165,166,167,188
22g37B0.4394 5.79 0.10 0.68 0.43Download165,166,167,173,186,187,188,189,190,191,193,229,232,233,234,235,236,237,238,239,250,251,252,253,254,255,256
34rubA0.4184 5.54 0.12 0.64 0.32Download30,82,83,124,125,144,167,168,169,188,191

(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).