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I-TASSER results for job id S34741

  Submitted Sequence

>slme1
MFKNAFANLQKVGKSLMLPVSVLPIAGILLGVGSANFSWLPAVVSHVMAEAGGSVFANMP
LIFAIGVALGFTNNDGVSALAAVVAYGIMVKTMAVVAPLVLHLPAEEIASKHLADTGVLG
GIISGAIAAYMFNRFYRIKLPEYLGFFAGKRFVPIISGLAAIFTGVVLSFIWPPIGSAIQ
TFSQWAAYQNPVVAFGIYGFIERCLVPFGLHHIWNVPFQMQIGEYTNAAGQVFHGDIPRY
MAGDPTAGKLSGGFLFKMYGLPAAAIAIWHSAKPENRAKVGGIMISAALTSFLTGITEPI
EFSFMFVAPILYIIHAILAGLAFPICILLGMRDGTSFSHGLIDFIVLSGNSSKLWLFPIV
GIGYAIVYYTIFRVLIKALDLKTPGREDATEDAKATGTSE

  Predicted Secondary Structure

Sequence                  20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220                 240                 260                 280                 300                 320                 340                 360                 380                 400
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   | 
MFKNAFANLQKVGKSLMLPVSVLPIAGILLGVGSANFSWLPAVVSHVMAEAGGSVFANMPLIFAIGVALGFTNNDGVSALAAVVAYGIMVKTMAVVAPLVLHLPAEEIASKHLADTGVLGGIISGAIAAYMFNRFYRIKLPEYLGFFAGKRFVPIISGLAAIFTGVVLSFIWPPIGSAIQTFSQWAAYQNPVVAFGIYGFIERCLVPFGLHHIWNVPFQMQIGEYTNAAGQVFHGDIPRYMAGDPTAGKLSGGFLFKMYGLPAAAIAIWHSAKPENRAKVGGIMISAALTSFLTGITEPIEFSFMFVAPILYIIHAILAGLAFPICILLGMRDGTSFSHGLIDFIVLSGNSSKLWLFPIVGIGYAIVYYTIFRVLIKALDLKTPGREDATEDAKATGTSE
PredictionCHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHCHHHHHHHCHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHCCCCCHHHHHHCCCCHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCSSCCCHHHHHHHHHHHHCCCCCCCSSSCHHCHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCSSSCCCCCHHHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCHHHHCCCCCC
Conf.Score9478999999950699799999999999986278873111999999999807999973089999999999973544789999999999999999999983653066663122352120999999999999999893642826777616873499989999999999886020888899999999999779838999999999999987489999987850003287652364997899998179985764241509998899999999983888678889999999999999973882999999999899999999999899999999296653465643999985677556852789999999999999999999993799849998713442355789

  Top 5 Models predicted by I-TASSER

Download Model 1 Download Model 2 Download Model 3 Download Model 4 Download Model 5
C-score=-3.01
 C-score=-2.30
 C-score=-2.09
 C-score=-3.67
 C-score=-4.53
 
Estimated accuracy of Model1: 0.37±0.13 (TM-score)    14.2±3.8Å (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
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |
Sec.Str
Seq		CHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHCCCCCCCCHHHHHHHHHHHCHHHHHHHCHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHCCCCCHHHHHHCCCCHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCSSCCCHHHHHHHHHHHHCCCCCCCSSSCHHCHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCSSSCCCCCHHHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCHHHHCCCCCC
MFKNAFANLQKVGKSLMLPVSVLPIAGILLGVGSANFSWLPAVVSHVMAEAGGSVFANMPLIFAIGVALGFTNNDGVSALAAVVAYGIMVKTMAVVAPLVLHLPAEEIASKHLADTGVLGGIISGAIAAYMFNRFYRIKLPEYLGFFAGKRFVPIISGLAAIFTGVVLSFIWPPIGSAIQTFSQWAAYQNPVVAFGIYGFIERCLVPFGLHHIWNVPFQMQIGEYTNAAGQVFHGDIPRYMAGDPTAGKLSGGFLFKMYGLPAAAIAIWHSAKPENRAKVGGIMISAALTSFLTGITEPIEFSFMFVAPILYIIHAILAGLAFPICILLGMRDGTSFSHGLIDFIVLSGNSSKLWLFPIVGIGYAIVYYTIFRVLIKALDLKTPGREDATEDAKATGTSE
11jdhA 0.06 0.16 0.96 1.78Download TARCTAGTLHNLHREGLLAIFKSGGIPALVKMLGSPVDSVLFYAITTLHNLAKMAVRLAGGLQKMVALLNKTNVKFLAITTDCLQILAYGNQESKLIILASGGPQALVNIMRTYTYEKLLWTTSRVLKVLNKPAIVEAGGMQALGLHLTDPSQRLVQNCLWTLLGTLVQLLGSDDINVVTCAAGILSNLTCNNYKNKMMVCQVGGIEALVRTVLRA-----------GDREDITEPAICALRHLTSRHQEAEMAQNAVRLHYGLPVVVKLLHPPSHWPLIKATV---GLIRNLALCPANHAPLREAIPRLVQLLVRAHQDMEEIVEGCTGALHILARDVHNRIVIRGLNSPIENIQRVAAGVLCELAQDKEAAEAIEAEGAHSRNEGVATYAAAVLFRMS
23dh4A 0.09 0.20 1.00 1.50Download YSIGLAIASYEWMSAITLIIVGKYFLPIFIEKGIYTINKKLKTILAVFWISLYIFVNLTSVLYLGGLALETILGIPILGLALFALVYSIVVWTDVIQVFFLVLGGFMTTYMAVSFIGGTDGWFAGVSKMVDAAPGHFEMILDQSNPQYMNLPGIAVLIGGLWVANLYYWGFNQYIIQRTLAVSEAQKGIVFAAFLKLIVPFLVVLPGIAAYVITSDPQLMAGDIAATNLPSAANADKAYPWLTQFLPVGVKGVVFAALAAAIVSSLASMLNSHKLVNVGRTAAVVALIIACLIAPMLGGIGQAFQYIQEYTGLVSPGILAVFLLGLFSKGAIIGVVASIPFALFLKFMPLSMPFMDQMLYTLLFTMVVIAFTSLSTSINDDDPKGISVTSSMFVTDRSFN
31pw4A 0.11 0.24 0.79 1.28Download --------------SIAYGFSKFIMGSVSDRSN----PRVFLPAGLILAAAVMLFMGSIAVMFVLLFLCGWFQGMGWPPCGRTMVHWWSQKERGGIVSVWN-------------CAHNVGGGIPPLLFLLG------------MAWFNDWHAALYMPAFCAILVALFAFAMMRDTD-------------TAKQIFMQYVLPNKLLWYIAIANVFVYLLRYGILDWSPTYLKEVKH-----FALDKSSWAYFLYEYAGIPGTLLCGWMSDKVFRGNRGATGVFFMTLVTIATIVYWMNPAIGFLIYGPVMLIGLHALELAGTAAGFTGLFGYLGGSVAASAIVGYTVDFGWDGGFMVMIGGSILAVILLIVVMIGEKRR----------------------
41b3uA 0.07 0.18 0.98 1.75Download VLLALAEQLGTFTTLVGGPEYVHCLLPPLESLATVEETVVRDKAVESLRAISHEHSPSDLEAHFVPLVKRLAGGDWFTSRTSACGLFVKAELRQYFRNLCSDDTPMVRR--------AAASKLGEFAKVLELDNVKSEIIPMFSNLASDEQDSVRLLAVEACVNIAQLLPQEDLEALVMPTLRQAAEDKSWRVRYMVADKFTELQKAVGPEITLVPAFQNLMKDCEAEVRAAASHKVKEFCENLSADCRENVIMSQILPCIKALASVIMGLSPILGKDNTIEHLLPLFLAQLVNEVIGIRQLSQSLLPAIVELAYAIREAATSNLKKLVEKFGKEWAHATIIPKVLAMSGDPNYLHRMTTLFCINVLSEVCGQDITTKHMLPILDNSTLQSEEKLTQDQD
51ee4A 0.10 0.18 0.91 1.46Download QLSATVKFRQILSREHRPPIDVVIQAGVVPRLRENQPEMLQLEAAWALTNIASGTSAQTKVVVDADAVPLFIQSVEVKEQAIWALGNVAGDSTDYRDYVLQCNAMEPILGLFNSNKPSLIRTATWTLSNLCRGK-------------KPQPDWSVVSQALPTLAKLIYSMDTETLVDACWAISYLSDGPQAVIDVRIPKRLVELLSTLVQTPALRAVGNIVTGNDLQTQVVINAGVLPALRLLLSSPK-------ENIKKEACWTISNITAGNTEQIQAVIDANLIPPLVKLLEVAE---DKTKKEACWAISNASSGGLQRPDIIRYLV--------SQGCIKPLCDLLEIAD---NRIIEVTLDALENILKMGEADKEARG----LNINENADFIEKAG
61ee4A 0.08 0.18 0.91 1.71Download ELPQMTQQLMQEQLSATVKFRQILVPRLVEFMRENQPEMLQLEAAWALTNIASGTSAQTKVVVAVPLFIQLLYTGSVEQAIWALGNVAGDSTDYRDYVLQCNAMEPILGLFNSNKPSLIRTATWTLS--------------NLCRGKKPQPDWSVVSQALPTLAKLIYSMDTETLVDACWAISYLSDGPQEAIQAVIDVRIPKRLVELLVQTPALRAVGNIVTGNDLQTQVVINAGVLPALRLLLSSPK------ENIKKEACWTISNITAGNTEQIQAVIDANLIPPLVKLLEVAEDKTKKEACWAISNASSGGLQRPDIIRYLVS-------QGCIKPLCDLLEIAD--------NRIIEVTLDALENILKMGEADKEARGLNINENADFIEKAGQNE
71ejlI 0.08 0.23 0.88 1.28Download QLQATQAARKLLSREKQPPIDNIIRAGLIPKFGKTDCSPIQFESAWALTNIASGTSEQTKAVVDGGAIPAFISASPSEQAVWALGNIAGDGSAFRDLVIKHGAIDPLLALLAVPDLSTLACGYLRNLTWTLSNLCRNKNLPTLVRLLHHNDPEVLADSCWAISYLTDGP----------NERIEMVVKKG------VVPQLVKLLGLPIVTPALRAIGNIVTGTDEQTQKVIDAGALAVFPSLLTNPK-------TNIQKEATWTMSNITAGRQDQIQQVVNHGLVPFLVGVLSKAD------FKTQKEAAWAITNYTSGGTVEQIVYL-------VHCGIIEPLMNLLSAKD---TKIIQVILDAISNIFQAAEKL---------GETEKLSIMIEECG
81ejlI 0.07 0.23 0.94 1.70Download SVEDIVKGIESQLQATQAARKLLSIPKFVSFLGKTDCSPIQFESAWALTNIASGTSEQTKAVVAIPAFISLLASPHAHISEQAVWALIAGDGSAFRDLVIKHGAIDPLLALLAVPDLSTLACGYLRNLTWTLSNLCRNK--------NPAPPLDAVEQILPTLVRLLHHNDPEVLADSCWAISYLTDGPNERIEMVVKKGVVPQLVKLIVTPALRAIGNIVTGTDEQTQKVIDAGALAVFPSLLTNPK-------TNIQKEATWTMSNITAGRQDQIQQVVNHGLVPFLVGVLSKADFKTQKEAAWA--ITNYTSGGTVEQIVYLVH-------CGIIEPLMNLLSAKDTKIIQVILDAISNIFQAAETEKLSIMIEECGGLDKIEAHENESVYKASLNS
91pw4A 0.10 0.24 0.90 1.27Download LRWQIFLGIFFGYAAYYLVRKNFALAMPYLGFSRGDLGFALSGISIAYGFSPAGLILAAAVMLFMGFVPWATSSIAVLLFLCGWFQGMGWPPCGRTMVHWWSQKERGGIVSVWNCAHNVGGGIPPLLFLLGMAWFND------------WHAALYMPAFCAILVALFAFAMLPPIEEYKNDTAKQIFMQYVLPNKLLWYIAIANVFVYLLRYGILDWSPTYLKEVKHFALDKSSWAYFLYE-----------YAGIPGTLLCGWMSDKVFRGNRGATGVFFMTLVTIATIVYWMNPAGNPTVDMICMIVIGFLIYGPVMLIGLHALELAPKKAGGSVAASAIVGYTVDFFGWDFMVMIGGSILAVILLIVVMIGEKRRHEQLVP----------------
101gw5B 0.10 0.17 0.98 1.69Download KKEKRKEAVKKVIAAMTVGKDVSSLFPDVVNCMQTDNLELKKLVYLYLMNYAKMAIMAVNSFLAVRTMGCIRVDKITEYLCEPLRPYVRKTAAVCVAKLHDINAGFLDSLRDLIADSNPMVVANAVAALSEINSNLLDLNPQNINKLL--TALNECTEWGQIFILDCLSNYNPKDDREAQSICERVTPRLSHANSAVVLSAVKVLMKFLLLKKLAPPLVTLLSGEPEVQYVALRNINLIVQKRPEILKQEIKVFFVKIYVKLEKLDIMIRLASQANIAQVLAELKEYAIGRCAIKVEQSAERCVSTLLDLIYVVQEAIVVIRDIFRK------YPNKYESIIATLCENLDSLDEPDARAAMIWIVGNADELLESFLEGFHFLKKPSETQELVQQVLSIEP
(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: PROSPECT2   2: PPA-I   3: HHSEARCH II   4: PROSPECT2   5: PPA-I   6: PROSPECT2   7: PPA-I   8: PROSPECT2   9: PPA-I   10: PROSPECT2   

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

RankTM-scoreRMSDaIDENaCov.PDB
Hit
10.8420 2.21 0.09 0.911ee4A
Model1
 
20.8383 2.28 0.10 0.912jdqA
Model1
 
30.8196 2.35 0.08 0.901ejlI
Model1
 
40.7556 3.88 0.07 0.933c2gA
Model1
 
50.7375 3.51 0.10 0.882bkuB
Model1
 
60.7302 2.77 0.09 0.821xm9A
Model1
 
70.7242 3.28 0.08 0.841jdhA
Model1
 
80.6970 4.02 0.05 0.871u6gC
Model1
 
90.6835 4.07 0.07 0.852w3cA
Model1
 
100.6506 4.26 0.06 0.831gw5A
Model1
 
Structural alignment using TM-align
 
QELPQMTQQLNSDDMQEQLSATVKFRQILSREHRPPIDVVIQAGVVPRLVEFMRENQPEMLQLEAAWALTNIASGTSAQTKVVVDADAVPLFIQLLYTGSVEVKEQAIWALGNVAGDSTDYRDYVLQCNAMEPILGLFNSNKPSLIRTATWTLSNLCRGKKPQPDWSVVSQALPTLAKLIYSMDTETLVDACWAISYLSD--------GP-QEAIQAVIDV----R-IPKRLVELLSHESTLVQTPALRAVGNIVTGNDLQTQVVINAGVLPALRLLLSSP-------KENIKKEACWTISNITAGNTEQIQAVIDANLIPPLVKLLEVA------EDKTKKEACWAISNASSGGLQRPDIIRYLVSQ--------GCIKPLCDLLEI-A-D-NRIIEVTLDALENILKMGEADKEARG-LNINENADFIEKAGGMEKIFNCQQNENDKIYEKAYKIIETYF 
-------------MFKNAFANLQKVGKSLM----LPVSVLPIAGILLGVG-S-A--NFSWLPAVVSHVMAEAGGSVFANMPLIFAIGVALGFTNN---DG--VSALAAVVAYGIMVKTMAVVAPLVLHLPAEEIASKHLADTGVLGGIISGAIAAYMFNRFYRI-K--LPEYLGFFAGK--R-FVPIISGLAAIFTGVVLSFIWPPIGSAIQTFSQWAAYQNPVVAFGIYGFIERCLV--PFGLHHIWNVPFQMQIGEYTNAAGQVFHGDIPRYMAGDPTAGKLSGGFLFKMYGLPAAAIAIWHSAKPENRAKVGGIMISAALTSFLTGITEPIEFSFMFVAPILYIIHAILAGLA--FPI-CILLGMRDGTSFSHGLIDFIVLSGNSSKLWLFPIVGIGYAIVYYTIFRVLIKALDLKTPGREDATEDAKA--TGTSE----------------------- 
 
TSDMIEMIFSKSPEQQLSATQKFRKLLSKEPNPPIDEVISTPGVVARFVEFLKRKENCTLQFESAWVLTNIASGNSLQTRIVIQAGAVPIFIELLSSEFEDVQEQAVWALGNIAGDSTMCRDYVLDCNILPPLLQLFSKQNRLTMTRNAVWALSNLCRGKSPPPEFAKVSPCLNVLSWLLFVSDTDVLADACWALSYLSD--------G-PNDKIQAVIDAG--VCRRLVE-LLMHNDYKVVSPALRAVGNIVTGDDIQTQVILNCSALQSLLHLLSSP-------KESIKKEACWTISNITAGNRAQIQTVIDANIFPALISILQTA------EFRTRKEAAWAITNATSGGSAEQIKYLVEL--------GCIKPLCDLLTVM---DSKIVQVALNGLENILRLGEQEAKRNGT-GINPYCALIEEAYGLDKIEFLQSHENQEIYQKAFDLIEHYFGTE 
-----------MFKNAFANLQKVGKSLM----LPVSVLPIA-GILLGVG-S--AN-FSWLPAVVSHVMAEAGGSVFANMPLIFAIGVALGFTNN--D---GVSALAAVVAYGIMVKTMAVVAPLVLHLPAEEIASKHLA-DTGVLGGIISGAIAAYMFNRF-YRIK---L--PEYLGFFAGKRFVPIISGLAAIFTGVVLSFIWPPIGSAIQTFSQWAAYQNPVVAFGIYGFIERCLVPFGLHHIWNVPFQMQIGEYTNAAGQVFHGDIPRYMAGDPTAGKLSGGFLFKMYGLPAAAIAIWHSAKPENRAKVGGIMISAALTSFLTGITEPIEFSFMFVAPILYIIHAILAGLAFPI-CILLGMRDGTSFSHGLIDFIVLSGNSSKLWLFPIVGIGYAIVYYTIFRVLIKALDLKTPGREDATEDAKATGTS-E--------------------------- 
 
GTVNWSVEDIVKGINSNNLESQLQATQAARKLLSREKQPPIDNIIRAGLIPKFVSFLGKTDCSPIQFESAWALTNIASGTSEQTKAVVDGGAIPAFISLLASPHAHISEQAVWALGNIAGDGSAFRDLVIKHGAIDPLLALLAVPDLSTLACGYLRNLTWTLSNLCRNKNPAPPLDAVEQILPTLVRLLHHNDPEVLADSCWAISYLTD--------GPN-ERIEMVVKKG--VVPQLVKLLG-ATELPIVTPALRAIGNIVTGTDEQTQKVIDAGALAVFPSLLTNP-------KTNIQKEATWTMSNITAGRQDQIQQVVNHGLVPFLVGVLSKA------DFKTQKEAAWAITNYTSGGTVEQIVYLVHC--------GIIEPLMNLLSAK---DTKIIQVILDAISNIFQAAEKLG------ETEKLSIMIEECGGLDKIEALQRHENESVYKASLNLIEKYFS 
-----------------MFKNAFANLQKVGKSLM----LPVSVLPIAGILLGVG-S--AN-FSWLPAVVSHVMAEAGGSVFANMPLIFAIGVALGFTNN--D-G--VSALAAVVAYGIMVKTMAVVAPLVLHLPAEEIASKHLA-----DTGVLGGIISGAIAAYMFNRFYRI-K--L---PEYLGFFAGKRFVPIISGLAAIFTGVVLSFIWPPIGSAIQTFSQWAAYQNPVVAFGIYGFIERCLVPFGLHHIWNVPFQMQIGEYTNAAGQVFHGDIPRYMAGDPTAGKLSGGFLFKMYGLPAAAIAIWHSAKPENRAKVGGIMISAALTSFLTGITEPIEFSFMFVAPILYIIHAILAGLAFPI-CILLGMRDGTSFSHGLIDFIVLSGNSSKLWLFPIVGIGYAIVYYTIFRVLIKALDLKTPGREDATEDAKA--TGTSE------------------------ 
 
NITQAAEQAIRLWFNTPDPQRLHAKTIRTWIRQDKFAQVDQANPNCVQQILNIIYDGLKPQPVQLPISYYAQLWYNLLDILRRFTFLPIISPYIHQVVQFCPRENGPQDFRELICNLISLNWQKDPHKHCANQVFQIFNCIIGVKNEKLRTEFAQHLKFEKLVGTLSEYFNPQVHPGINPAIFIIFRFIISKDTRLKDYFIWNNNPHDQPPPPTGLIIKLNAVIGSYRLIAGQNPETLPQNPELAHLIQVIIRTFDLLGLLLHDSDAIDGFVRSDGVGAITTVVQYPNNDLIRAGCKLLLQVSD-A-------K--ALAKT--PLEN-ILPFLLRLIEIHPDDEVIYSGTGFLSNVVAHKQHVKDIAIRSNAIFLLHTIISK-YPRLDELTDAPKRNRVCEIICNCLRTLNNFLWIPTPNGETKTAGPNEKQQVCKFIEIDILKKL-SCLSC-E--D-T-PGLLELRSTILRSFILLLRTPFVPKDGVLNVIDENRKENLIGHICAAYSWVFRQPNNTRTQSTKQQLVERTISLLLVL-EQC------G--AEKEVAQYSYSIDCPLNLLNGNQVKPTFIHNVLVVCDKILEHCPTRADIWTIDRPLEGLTNHRNSDIAKAANSLLSRFPEN 
---------------------------------------------------------------------MFKNAFANLQKVGKSLM----L-PVSVLPIAG--------ILLGVGSA----N----FSWLPAVVSHVMAEAGGS-----VFANMPLIFAIGVALGFTNN----D-GVSA-LAAVVAYGIMVKTMAVVAPLV-L----------HLPAEEIASKHLA--D--------------TGVLGGIISGAIAAYMFNRFY--RI-KL---PE--YLGFFAGKRFVPIISGLAAIFTGVVLSFIWPPIGSAIQTFSQWAAYQNPVVAFGIYGFIERCLVPFGLHHIWNVPFQMQIGEYTNAAGQV--FH--GDIPRYMAGDPTAGKLSGGFLFKMYGLPAAAIAIWHSAKP---------------E--NRAKVGGIMISAALTSFLTGITEPIEFSFMFVAPILYIIHAILAGLAFP-I-CILLGMRDG---TSFSHGLIDFIVLSGNSSKLW--LFPIVGIGYAIVYYTIFRVLIKALDLKTPGREDATEDAKATGTSE-------------------------------------------------------------------- 
 
MSTAEFAQLLENSILSPDQNIRLTSETQLKKLSNDNFLQFAGLSSQVLIDENTKLEGRILAALTLKNELVSKDSVKTQQFAQRWITQVSPEAKNQIKTNALTALVSIEPRIANAAAQLIAAIADIELPHGAWPELMKIMVDNTGAEQPENVKRASLLALGYMCESADALVSSSNNILIAIVQGAQSTETSKAVRLAALNALADSLIFIKNNMEREGERNYLMQVVCEATQAEDIEVQAAAFGCLCKIMSKYYTFMKPYMEQALYALTIATMKSPNDKVASMTVEFWSTICEEEIDIAYELAQFPQSPLQSYNFALSSIKDVVPNLLNLLTRQNEDPEDDDWNVSMSAGACLQLFAQNCGNHILEPVLEFVEQNITADNWRNREAAVMAFGSIMDGPDKVQRTYYVHQALPSILNLMNDQSLQVKETTAWCIGRIADSVAESIDPQQHLPGVVQACLIGLQDHPKVATNCSWTIINLVEQLAEATPSPIYNFYPALVDGLIGAANRIDNEFNARASAFSALTTMVEYATDTVAETSASISTFVMDKLGQTMSVDENQLTLEDAQSLQELQSNILTVLAAVIRKSPSSVEPVA-DMLMGLFFRLLEKKDSAFIEDDVFYAISALAASLGKGFEKYLETFSPYLLKALNQVDSPVSITAVGFIADISNSL--------EEDF-RRYSDA---MMNVLAQMISNPNARRELKPAVLSVFGDIASNIGADFIPYLN-DIMALCVAAQNTKPENGTLEALDYQIKVLEAVLDAYVGIVAGLHDKPEALFPYVG-TIFQFIAQVAEDPQLYS--EDATSRAAVGLIGDIAAMFPDGSIKQFYG------Q-DWVIDYIKRTRSGQLFSQA-TKDTARWAREQQKRQLSL------------------------ 
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------MFKNAFANLQKVGKSLMLPV---S------VL-PIAGILLGVGS--ANFSW---LPAVVSHVMAEAGGSVF-ANMPLIFAIGVA-LGFTNND---------------G--VSALAAVVAYGIMVKTMAVVAPLVLHLPAEEIASKHLA-DTGVLGGIISGAIAAYMFNRFYRIK-LP-EYLGFFAGK--R-FVPIISGLAAIFTGVVLSFIWPPIGSAIQTFSQWAAYQNPVVAFGIYGFIER-CLVPFGLHHIWNVPFQMQIGEYTNAAGQVFHGDIPRYMAGDPTAGK----LSGGFLFKMYGLPAAAIAIWHS-A--KPENRAKVGGIMISAALTSFLTGITEPIEFSFMFVAPILYIIHAILAGLA-FPICILLGMRDGTSFSHGLIDFIVLSGNSSKLWLFPIVGIGYAIVYYTIFRVLIKALDLKTPGREDATEDAKATGTSE 
 
-------G---L----------TI--PKAVQYLSSQDEKYQAIGAYYIQHTCFQDESAKQQVYQLGGICKLVDLLRSPNQNVQQAAAGALRNLVFRSTTNKLETRRQNGIREAVSLLRRTGNAEIQKQLTGLLWNLSST-DELKEELIADALPVLADRVIIPFSGWCVVDPEVFFNATGCLRNLSS-A-------D--AGRQTMRNYS-GLIDSLMAYVQNCVAASRCDDKSVENCMCVLHNLSYRLDAEVPTRYRQLEYNALPEEETNPKGSGWLYHSDAIRTYLNLMGKS------KKDATLEACAGALQNLTASKGLMSSGMSQLIGLKEKGLPQIARLL--QS--G-N-SDVVRSGASLLSNMSR-H-PLLHRVMGN--------QVFPEVTRLLTSHTGNTSNSEDILSSACYTVRNLMA-S--------------QPQLAKQYFSSSMLNNIINLCRSSASPKAAEAARLLLSDMWSSKELQGVL 
MFKNAFANLQKVGKSLMLPVSVLPIAGILLGVGSANFSWLPAVVSHVMAEAGGSVFANMPLIFAIGVALGFTNN--D---GVSALAAVVAYGIMVKTMAVVAPLVLHLPAEEIASKHLAD-TGVLGGIISGAIAAYMFNRFYRIK-LP-EYLGFFA-GK---------RFVPIISGLAAIFTGVVLSFIWPPIGSAIQTFSQWAAYQNPVVAFGIYGFIERCL---V--PFGLHHIWNVPFQMQIGEY-TN---------------------AAGQVFHGDIPRYMAGDPTAGKLSGGFLFKMYGLPAAAIAIWHSA----KPENRAKVG-GIMISAALTSFLTGITEPIEFSFMFVAPILYIIHAILAGLAFPICILLGMRDGTSFSHGLIDFIVLSGNS-S-KL-WLFPIVGIGYAIVYYTIFRVLIKALDLKTPGREDATEDAKATGTS-E------------------------------------- 
 
AVVNLIRAIPELTKLLNDEDQVVVNKAAVMVHQLSKKEASRHAIMRSPQMVSAIVRTMQNTNDVETARCTAGTLHNLSHHREGLLAIFKSGGIPALVKMLGSPVDSVLFYAITTLHNLLLHQEGAKMAVRLAGGLQKMVALLNKTNVKFLAITTDCLQILAYGNQESKLIILASGGPQALVNIMRTYTYEKLLWTTSRVLKVLSVCSSNKPAIVEAGGM-QALGLHLTDPSQRLVQNCLWTLRNLSDAATKQEGMEGLLGTLVQ-LLG-SDDIN--VVTCAAGILSNLTCNNYKNKMMVCQVGGIEALVRTVLRAGDREDITEPAICALRHLTSR--HQ---EAE-MAQNAVRLHY--GLPVVVKLLHPPSHWPLIKATVGLIRNLALC-PANHAPLREQGAIPRLVQLLVRAHQDTQFVEGVRMEEIVEGCTGALHILAR-DVHNRIVIRGLNTIPLFVQLLY-SP-----IENIQRVAAGVLCELA-QDK---EAAEAI----EA-EGATAPLTELLH---SRNEGVATYAAAVLFRMS----------------------------- 
----------------------------------------------------------------------------------------------------------------M-------------------------------------FKNAFANLQKVG-K--SLMLPVSVLPIAGILLGVG-S-ANFS-WLPAVVSHVMAEAGGSVFANMPLIFAIGVALGFTNN-D-GVSALAAVVAY-GIMVKTMAVVAPLVLHLPAEEIASKHLADTGVLGGIISGAIAAYMFNRFY--R-IK---LP-EYLGFFAGK-RFVPIISGLAAIFTGVVLSFIWPPIGSAIQTFSQWAAYQNPVVAFGIYGFIERCLVPFGLHHIWNVPFQMQIGEYTNAAGQVFHGDIPRYMAGDPT--AGK-LS-GGFLFKMYGLPAAAIAIWHSAKPENRAKVGGIMISAALTSFLTGITEPIEFSFMFVAPILYIIHAILAGLAFPICILLGMRDGTSFSHGLIDFIVLSGNSSKLWLFPIVGIGYAIVYYTIFRVLIKALDLKTPGREDATEDAKATGTSE 
 
ASYHISNLLEKMTSSDKDFRFMATNDLMTELQKDSIKLDDDSERKVVKMILKLLEDKNGEVQNLAVKCLGPLVSKVKEYQVETIVDTLCTNMLSDKEQLRDISSIGLKTVIGELPSALAANVCKKITGRLTSAIAKQEDVSVQLEALDIMADMLSRQGGLLVNFHPSILT---CLLPQLTSPRLAVRKRTIIALGHLVMSCFVDLIEHLLSELSKNDSMSTTRTYIQCIAAIS--R-QAGHRIGEYLEKIIPLVVKFCNVDDDELREYCIQAFESF--V-RRCPKEVYPHVSTIINICLKYLTYDMSWKVRRAAAKCLDAVVST-RHEMLPEFYKTVSPALISRFKEREENVKADVFHAYLSLLKQT-RPVGE--TP-LTMLQSQVPN---IVK-ALHKQMKEKSVKTRQCCFNMLTELVNVLPG-ALTQHIPV-LVPGIIFSLNDKS---S--SSNLKIDALSCLYVILCNHSPQVFHPHVQA-LVPPVVACVGDPFY----K--ITSEALLVTQQLVKVIRPLDQPSSFDATPYIKDL----F-TCTIKRLKAADIDQ-EVK---E-RAISCMGQIICNLG-DN------LGSDLPNTLQIFLERLKNEITRLTTVKALTLIAGSPLKIDLRPVLGEGVPILASFLRKNQRALKLGTLSALDILIKNYSDSLTAAMIDAVLDELPPLISESDMHVSQMAISFLTTLAKVYPSSLSKISGSILNELIGLVRSPLLQGGALSAMLDFFQALVVTGTNNLGYMDLLRMLTGPVYSQTHKQSYYSIAKCVAALTRACPKEGPAVVGQFIQDVKNSRSTDSIRLLALLSLGEVGHHIDLSGQLELKSVILEAFSSPSEEVKSAASYALGSISVGNLPEYLPFVLQEITSQPKRQYLLLHSLKEIISSASVVGLKPYVENIWALLLKHCECAEEGTRNVVAECLGKLTLIDPETLLPRLKGYLISGSSYARSSVVTAVKFTISDHPQPIDPLLKNCIGDFLKTLEDPDLNVRRVALVTFNSAAHNKPSLIRDLLDTVLPHLYNETKVRKELIREVEMGPFKHTVDDGLDIRKAAFECMYTLLDSCLDRLDIFEFLNHVEDGLKDHYDIKMLTFLMLVRLSTLCPSAVLQRLDRLVEPLRATCTTKVKANSVKQEFEKQDELKRSAMRAVAALLTIPEAEKSPLMSEFQSQISSNPELAA 
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------MFKNAFANLQK----VGK-SLMLPVSVLP-I---A--GILLGVGSANFSWLPAVVSHVMAEAGGSVFANMPLIFAIGV-ALGFTNNDG-V----SALAAVVAYGIMVKTMAVVAPLVLHLPAEEIASKHLADT---GV-LGGIISGAIAAYMFNRFYRIK--LP--EYLGFFAGK--RFVPIISGLAAIFTGVVLSFIWPP--IGSAIQTFSQWAAYQNPVVAFGIYGFIERCLVPFGLHHIWNVPFQMQI-GEYTNAAGQVFHGDIPRYMAGDPTAGKLSGGFLFKMYGLPAAAIAIWHS-AKPENRAKVGGIMISAALTSFLTGITEPIEFSFMFVAPILYIIHAILAGLAF------P-ICILLGMRDGTSFSHGLIDFIVLSGNSSKLWLFPIVGIGYAIVYYTIFRVLIKALDLKTPGREDATEDAKATGTS-----E------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ 
 
LEVGIQAMEHLIHVLQTDRSDSEIIGYALDTLYNIISNSQFTEIFIKQQENVTLLLSLLEEFDFHVRWPGVKLLTSLLKQLGPQVQQIILVSPMGVSRLMDLLADSREVIRNDGVLLLQALTRSNGAIQKIVAFENAFERLLDIISEEGNSDGGIVVEDCLILLQNLLKNNNSNQNFFKEGSYIQRMKPWFEVGWSAQKVTNLHLMLQLVRVLVSPT-N-P-PGATSSCQKAMFQCG--LLQQLCTILMATGVPADILTETINTVSEVIRGCQVNQDYFASVNAPSPPRPAIVVLLMSMVNERQP-----FV-LRCAVLYCFQCFLYKNQKGQGEIVSTLLPSTIDATGNSVSAGQLLCGGLFSTDSLS---------NW-CAAVALAHALQENATQKEQLLRVQLATSIGNPPVSLLQQCTNILSQGSKIQTRVGL--------LM-LLCTWLSNCPIAVT-HF-------LH-NSANVPFLTGQIAENLGEEEQLVQGLCALLLGISIYFNDNSLESYMKEKLKQLIEKRIGKENFIEKLGFISKHELYSRASQKPQPNFPSPEYMIFDHEFTKLVKELEGVITKAIY 
--------------------MFKNAFANLQKVGKSLMLP--VSVLPIA-GILLGVG--S-ANFSWLPAVVSHVMAEAGGS-VFANMPLIFAI-GVALGFTN--ND-G--VSALAAVVAYGIMVKTMAVVAPLVLHLPAEEIASKHLADT---GV-LGGIISGAIAAYMFNRFYRIK-L-----PEYLGFFAGK-R---FVPIISGLAAIFTGVVLSFIWPPIGSAIQTFSQWAAYQNPVVAFGIYGFIER-CLVPFGLHHIWNVPFQMQIGEYTNAAGQVFH--------GDIPRYMAGDPTAGKLSGGFLFKMYGLPAAAIAIWHS-AKPENRAKV-G-------------GI--MISAALTSFLTGITEPIEFSFMFVAPILYIIHAILA-G--LAFPICILLGMR-----DG---TSF-SHGLI-D-FIVLSGNSSKLWLFPIVGIGYAIVYYTIFRVLIKALDLKTPGREDATEDAKATGTS---------------E---------------------------------------------------------------------------------------- 
 
GMRGLAVFISDIRNCKSKEAEIKRINKELANIRSKFKGDKALDGYSKKKYVCKLLFIFLLGHDIDFGHMEAVNL----LSSNRYTEKQIGYLFISVLVNSNSELIRLINNAIKNDLAS----RNPTFMGLALHCIANVGS-REMAEAFAGEIPKILVAGDTMDSVKQSAALCLLRLYRTSPDLVPMGDWTSRVVHLLNDQ---HLGVVTAATSLITTL-AQKNPEEFKTSVSLAVSRLSRIVTSASTDLQDYTYYFVPAPWLSVKLLRLLQCY-----------P-PPEDPAVRGRLTECLETILNKAQEPPKSKKVQHSNAKNAVLFEAISLIIHH-DSE-PNLLV-RACNQLGQFLQHRE------TN-LRYLALESMCTLASSE-FSHEAVKT--HIETVINALKTERD----VS-VRQRAVDLLYAMC--DR-SNAQQIV----AEMLSYLETADYSIRE---------E-IVLKVAILAEKYA-V-DY------T-WYVDTILNLIRIAGDYVSEEVWYRVIQIVINRDDVQGYAAKTVFEALQAPACHENLVKVGGYILGEFG 
--------------------------------------------------------------------------MFKNAFANLQKVGKSLMLPVS--------VL-PIAGILLGVGSANFSWLPAVVSHVMAEAGGSVFANMPLIFAI-GVALGFTNN-DGVSALAAVVAYGIMVKTMAVVAPLVLHLPAEEIASKHLADTGVLGGIISGAIAAYMFNRFYRIK-----LPEYLGFFAGKR----------FVP---IISGLAAIFTGVVLSFIWPPIGSAIQTFSQWAAY-QNPVVAFGIYGFIERCL----------VPFGLHHIWNVPFQMQIGEYTNAAGQVFHGDIPRYMAGDPTAGKLSGGFLFKMYGLPAAAIAIWHSAKPENRAKVGGIMISAALTSFLTGITEPIEFSFMFVAPILYIIHAILAGLAFPICILLGMRDGTSFSHGLIDFIVLSGNSSKLWLFPIVGIGYAIVYYTIFRVLIKALDLKTPGREDATEDAKATGTSE------------------------------------------------------- 
 
(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.
10.5623 4.07 0.04 0.690.43911ho8A 3.6.3.14
 
20.4599 5.76 0.07 0.670.41493dpyA 2.5.1.582.5.1.59
 
30.4503 5.80 0.07 0.650.41413b3bA 3.4.11.2
 
40.4867 5.35 0.05 0.680.39693dsxA 2.5.1.60
 
50.4230 5.69 0.07 0.600.37513sqcC 5.4.99.17
 
(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
10.8395 2.25 0.10 0.912jdqB 0.58 GO:0005515 GO:0008139 GO:0008565 GO:0000018 GO:0006605 GO:0006607 GO:0009987 GO:0034504 GO:0034960 GO:0043283 GO:0044237 GO:0044419 GO:0051170 GO:0051641 GO:0051649 GO:0005622 GO:0005623 GO:0005634 GO:0005643 GO:0005654 GO:0005737 GO:0005829 GO:0012505 GO:0016020 GO:0016021 GO:0031974 GO:0031975 GO:0043229 GO:0043234 GO:0044428 GO:0046930
20.8253 2.44 0.09 0.912c1tB 0.56 GO:0005515 GO:0008320 GO:0008565 GO:0006606 GO:0006612 GO:0009987 GO:0034504 GO:0051170 GO:0051641 GO:0051649 GO:0005622 GO:0005623 GO:0005634 GO:0005643 GO:0005737 GO:0012505 GO:0016020 GO:0016021 GO:0031975 GO:0043229 GO:0043234 GO:0044428 GO:0046930
30.7865 2.91 0.08 0.902c1mA 0.50 GO:0005515 GO:0008565 GO:0006605 GO:0006606 GO:0009987 GO:0034504 GO:0051170 GO:0051641 GO:0051649 GO:0005622 GO:0005623 GO:0005634 GO:0005643 GO:0005737 GO:0012505 GO:0016020 GO:0016021 GO:0031975 GO:0043229 GO:0043234 GO:0044428 GO:0046930
40.7302 2.77 0.09 0.821xm9A 0.49 GO:0004871 GO:0019215 GO:0030280 GO:0007154 GO:0007155 GO:0007165 GO:0007275 GO:0022610 GO:0032502 GO:0065007 GO:0005622 GO:0005623 GO:0005634 GO:0005882 GO:0005886 GO:0016327 GO:0030057 GO:0043229 GO:0043296 GO:0044424 GO:0045111 GO:0070161
50.7563 3.40 0.08 0.892z6hA 0.49 GO:0003713 GO:0004871 GO:0008022 GO:0008134 GO:0016563 GO:0042301 GO:0045296 GO:0050681 GO:0009653 GO:0009987 GO:0022610 GO:0032501 GO:0044237 GO:0048869 GO:0050789 GO:0065007 GO:0005622 GO:0005623 GO:0005634 GO:0005737 GO:0005829 GO:0005856 GO:0005886 GO:0016328 GO:0030877 GO:0043229
60.7462 3.51 0.08 0.882z6gA 0.48 GO:0045296 GO:0000578 GO:0007155 GO:0007398 GO:0009790 GO:0009798 GO:0022610 GO:0048856 GO:0005622 GO:0005623 GO:0005634 GO:0005737 GO:0005886 GO:0005902 GO:0005912 GO:0005913 GO:0005938 GO:0016327 GO:0016342 GO:0019897 GO:0019898 GO:0030057 GO:0043229 GO:0043296
70.7650 3.85 0.07 0.943c2hB 0.47 GO:0005488 GO:0000003 GO:0009653 GO:0022414 GO:0032501 GO:0040008 GO:0040011 GO:0050789 GO:0065007
80.7556 3.88 0.07 0.933c2gA 0.47 GO:0003677 GO:0005515 GO:0000003 GO:0009653 GO:0009987 GO:0022414 GO:0032501 GO:0040008 GO:0050789 GO:0065007 GO:0005622 GO:0005623 GO:0005634 GO:0005737 GO:0043229
90.7122 3.29 0.08 0.833bctA 0.46 GO:0003682 GO:0003690 GO:0003700 GO:0003713 GO:0008134 GO:0016563 GO:0019903 GO:0045294 GO:0045296 GO:0002376 GO:0008283 GO:0009653 GO:0010926 GO:0021700 GO:0022610 GO:0032501 GO:0044237 GO:0050789 GO:0051179 GO:0065007 GO:0005622 GO:0005623 GO:0005624 GO:0005634 GO:0005667 GO:0005737 GO:0005856 GO:0005886 GO:0005902 GO:0005912 GO:0005913 GO:0005916 GO:0016323 GO:0016327 GO:0016328 GO:0030016 GO:0030018 GO:0030027 GO:0031252 GO:0031528 GO:0031674 GO:0031974 GO:0043229 GO:0043234 GO:0043296 GO:0044428 GO:0044463 GO:0045177
100.7054 3.88 0.07 0.862z5oA 0.44 GO:0005515 GO:0008139 GO:0008565 GO:0000059 GO:0000060 GO:0006605 GO:0010926 GO:0022607 GO:0034504 GO:0034621 GO:0034622 GO:0043623 GO:0044419 GO:0051170 GO:0051641 GO:0051649 GO:0070271 GO:0005622 GO:0005623 GO:0005634 GO:0005643 GO:0005737 GO:0012505 GO:0016020 GO:0016021 GO:0031975 GO:0043229 GO:0043234 GO:0044428 GO:0046930

Consensus Prediction of Gene Ontology terms 
Molecular Function  Biological Process Cellular Location
GO termGO-Score  GO termGO-Score GO termGO-Score
GO:00054880.495  GO:00099870.447  GO:00056230.490
GO:00055150.447  GO:00325020.286  GO:00056220.490
GO:00228920.209  GO:00325010.286  GO:00432270.490
GO:00052150.209  GO:00511790.255  GO:00432310.490
GO:00085650.209  GO:00507890.238  GO:00444240.490
GO:00452960.143  GO:00650070.238  GO:00444640.490
GO:00508390.143  GO:00170380.209  GO:00432290.490
GO:00050480.102  GO:00511690.209  GO:00432260.490
GO:00422770.102  GO:00150310.209  GO:00056340.490
GO:00081390.102  GO:00512340.209  GO:00160200.443

(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:
TRP:214  PHE:218  GLN:221  ASP:236  TYR:240  LEU:261  PRO:262  
ALA:263  ALA:264  ALA:265  ILE:266  ALA:267  ILE:268  TRP:269  
HIS:270  ILE:313  
Identified analogs with similar binding site:

RankPDB
Hit		TM-scoreRMSDaIDENaCov.BS-scoreDownload
Complex		Binding site residues on the predicted model
12p1pB0.4034 6.02 0.04 0.61 0.50Download214,218,221,236,240,261,262,263,264,265,266,267,268,269,270,313
21gq2A0.3438 7.26 0.05 0.60 0.42Download135,144,156,157,159,160,161,162,163,164,165,167,168,179,183,197,212,213,215,216,217,218,219,220,221,222,223,260,261,263,264,265,268,309,312
32oy6A0.3477 6.63 0.04 0.56 0.37Download128,129,130,131,132,133,134,135,157,158,159,160,161,162,163,164,165,211,212,213,216
41mv8A0.3292 6.73 0.07 0.54 0.37Download9,12,13,14,15,16,17,18,20,23,24,28,29,30,31,32,46,47,48,49,50,51,52,53,54,62,65,83,87
52iz1B0.3436 6.57 0.05 0.54 0.36Download52,53,54,55,56,57,58,59,60,61,62,63,87,88,89,90,91,92,93,94,95,96,98
61vljB0.3243 7.38 0.06 0.56 0.27Download90,128,132,134,135,154,161,162,163,164,165,166,167,168,211,212,216,219,220
71vom_0.3491 6.49 0.06 0.55 0.27Download128,129,130,131,132,133,134,135,157,158,159,160,161,162,163,164,165,166,212,213,216
81oj7A0.3239 7.15 0.06 0.55 0.25Download90,128,129,132,134,135,161,162,163,164,165,166,167,168,211,212,215,216,219,220
91kwoA0.3508 6.47 0.06 0.55 0.24Download128,130,131,132,133,134,135,156,157,158,159,160,161,162,163,164,165,166,201,204,209,212,213,216
102bi4A0.3283 6.98 0.06 0.55 0.23Download90,128,129,131,132,134,135,154,155,157,158,161,162,164,165,166,167,168,211,212,215,216,219,220

(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).