I-TASSER results

I-TASSER results for job id Rv0064

[Click on result.tar.bz2 to download the tarball file including all modelling results listed on this page]

Input Sequence in FASTA format

>protein (979 residues)
METGSPGKRPVLPKRARLLVTAGMGMLALLLFGPRLVDIYVDWLWFGEVGFRSVWITVLL
TRLAIVAAVALVVAGIVLAALLLAYRSRPFFVPDEPQRDPVAPLRSAVMRRPRLFGWGIA
VTLGVVCGLIASFDWVKVQLFVHGGTFGIVDPEFGYDIGFFVFDLPFYRSVLNWLFVAVV
LAFLASLLTHYLFGGLRLTTGRGMLTQAARVQLAVFAGAVVLLKAVAYWLDRYELLSSGR
KEPTFTGAGYTDIHAELPAKLVLVAIAVLCAVSFFTAIFLRDLRIPAMAAALLVLSAILV
GGLWPLLMEQFSVRPNAADVERPYIQRNIEATREAYRIGGDWVQYRSYPGIGTKQPRDVP
VDVTTIAKVRLLDPHILSRTFTQQQQLKNFFSFAEILDIDRYRIDGELQDYIVGVRELSP
KSLTGNQTDWINKHTVYTHGNGFVAAPANRVNAAARGAENISDSNSGYPIYAVSDIASLG
SGRQVIPVEQPRVYYGEVIAQADPDYAIVGGAPGSAPREYDTDTSKYTYTGAGGVSIGNW
FNRTVFATKVAQHKFLFSREIGSESKVLIHRDPKERVQRVAPWLTTDDNPYPVVVNGRIV
WIVDAYTTLDTYPYAQRSSLEGPVTSPTGIVRQGKQVSYVRNSVKATVDAYDGTVTLFQF
DRDDPVLRTWMRAFPGTVKSEDQIPDELRAHFRYPEDLFEVQRSLLAKYHVDEPREFFTT
NAFWSVPSDPTNNANATQPPFYVLVGDQQSAQPSFRLASAMVGYNREFLSAYISAHSDPA
NYGKLTVLELPTDTLTQGPQQIQNSMISDTRVASERTLLERSNRIHYGNLLSLPIADGGV
LYVEPLYTERISTSPSSSTFPQLSRVLVSVREPRTEGGVRVGYAPTLAESLDQVFGPGTG
RVATARGGDAASAPPPGAGGPAPPQAVPPPRTTQPPAAPPRGPDVPPATVAELRETLADL
RAVLDRLEKAIDAAETPGG

Predicted Secondary Structure

Sequence	20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 620 640 660 680 700 720 740 760 780 800 820 840 860 880 900 920 940 960 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| METGSPGKRPVLPKRARLLVTAGMGMLALLLFGPRLVDIYVDWLWFGEVGFRSVWITVLLTRLAIVAAVALVVAGIVLAALLLAYRSRPFFVPDEPQRDPVAPLRSAVMRRPRLFGWGIAVTLGVVCGLIASFDWVKVQLFVHGGTFGIVDPEFGYDIGFFVFDLPFYRSVLNWLFVAVVLAFLASLLTHYLFGGLRLTTGRGMLTQAARVQLAVFAGAVVLLKAVAYWLDRYELLSSGRKEPTFTGAGYTDIHAELPAKLVLVAIAVLCAVSFFTAIFLRDLRIPAMAAALLVLSAILVGGLWPLLMEQFSVRPNAADVERPYIQRNIEATREAYRIGGDWVQYRSYPGIGTKQPRDVPVDVTTIAKVRLLDPHILSRTFTQQQQLKNFFSFAEILDIDRYRIDGELQDYIVGVRELSPKSLTGNQTDWINKHTVYTHGNGFVAAPANRVNAAARGAENISDSNSGYPIYAVSDIASLGSGRQVIPVEQPRVYYGEVIAQADPDYAIVGGAPGSAPREYDTDTSKYTYTGAGGVSIGNWFNRTVFATKVAQHKFLFSREIGSESKVLIHRDPKERVQRVAPWLTTDDNPYPVVVNGRIVWIVDAYTTLDTYPYAQRSSLEGPVTSPTGIVRQGKQVSYVRNSVKATVDAYDGTVTLFQFDRDDPVLRTWMRAFPGTVKSEDQIPDELRAHFRYPEDLFEVQRSLLAKYHVDEPREFFTTNAFWSVPSDPTNNANATQPPFYVLVGDQQSAQPSFRLASAMVGYNREFLSAYISAHSDPANYGKLTVLELPTDTLTQGPQQIQNSMISDTRVASERTLLERSNRIHYGNLLSLPIADGGVLYVEPLYTERISTSPSSSTFPQLSRVLVSVREPRTEGGVRVGYAPTLAESLDQVFGPGTGRVATARGGDAASAPPPGAGGPAPPQAVPPPRTTQPPAAPPRGPDVPPATVAELRETLADLRAVLDRLEKAIDAAETPGG
Prediction	CCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCEEEEEHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCEHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCEEHCCCEEEEEEHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHCCCCCCEEEEHCCCCCCCCHHHHHHHHHHHHCEHCCCHHHHHHHHHHHHHHHHCCCCCCCCCEEEEEHCCEEEEEEEEEEHCCHHHCCCCCCCCHHHHEEEHCCCCEEEHCCCEHCCCCCCCCCCCCCCCCCEEEEEHCCCCCCCCCCCCCCCCCEEEHCCCCCCCCCCEEEHCCCCCCCCCCCCCCCCEEEEEHCCCCCCCHHHHHHHHHHHHCCCEEEHCCCCCCCCEEEHCCCHHHHHHHHCCCEHCCCCCEEEEHCCEEEEEEEEEHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEEEEEEEEEEHCCCCEEEEEEHCCCCHHHHHHHHHCCCCCCCHHHCCHHHHHHHCCHHHHHHHHHHHHHHHCCCCHHHHCCCCCCCCCCCCCCCCCCCCCCCEEEEEHCCCCCCCEEEEEHCCCCCCCCCEEEEEEEHCCCCCCCEEEEEEHCCCCCCCCHHHHHHHHHCCHHHHHHHHHHCCCCCEEHCCEEEEHCCCCEEEEEEEEEHCCCCCCCCCCCCCHHHEEEEEHCCCCCCCCCEEEHCCCHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCC
Conf.Score	9999999998887655599999999999999999999999999999987974689999999999999999999999999999999985556787765567899999988777899999999999999999998999999999678889878878974688645658999999999999999999999999998764547887767899999999999999999999999999998755788885886847888655789999999999999999999998575467999999999999999999999987534688999999999999999999989998766899868898999999988677765445467899999999999876556788765455688799688999997657855598546773344446757755687556565566666777888889974788767899888888877778757765678888998688589888888888999867899867888887699999999998896489747899986788758999999998564454898768999999999985565579999987777776656766667788886588656899998789858999858998699999998887568988888999998677889999999999998588887856655444477788889887779858999879999956887644578998745789987758888887999995898878898999999876879999988765788588676899985899599999988745678888888843446776655777888876987477999999998788888888888888889999999988888655677888999999999988788999999999999999999999999987579
	H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

Sequence	20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 620 640 660 680 700 720 740 760 780 800 820 840 860 880 900 920 940 960 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| METGSPGKRPVLPKRARLLVTAGMGMLALLLFGPRLVDIYVDWLWFGEVGFRSVWITVLLTRLAIVAAVALVVAGIVLAALLLAYRSRPFFVPDEPQRDPVAPLRSAVMRRPRLFGWGIAVTLGVVCGLIASFDWVKVQLFVHGGTFGIVDPEFGYDIGFFVFDLPFYRSVLNWLFVAVVLAFLASLLTHYLFGGLRLTTGRGMLTQAARVQLAVFAGAVVLLKAVAYWLDRYELLSSGRKEPTFTGAGYTDIHAELPAKLVLVAIAVLCAVSFFTAIFLRDLRIPAMAAALLVLSAILVGGLWPLLMEQFSVRPNAADVERPYIQRNIEATREAYRIGGDWVQYRSYPGIGTKQPRDVPVDVTTIAKVRLLDPHILSRTFTQQQQLKNFFSFAEILDIDRYRIDGELQDYIVGVRELSPKSLTGNQTDWINKHTVYTHGNGFVAAPANRVNAAARGAENISDSNSGYPIYAVSDIASLGSGRQVIPVEQPRVYYGEVIAQADPDYAIVGGAPGSAPREYDTDTSKYTYTGAGGVSIGNWFNRTVFATKVAQHKFLFSREIGSESKVLIHRDPKERVQRVAPWLTTDDNPYPVVVNGRIVWIVDAYTTLDTYPYAQRSSLEGPVTSPTGIVRQGKQVSYVRNSVKATVDAYDGTVTLFQFDRDDPVLRTWMRAFPGTVKSEDQIPDELRAHFRYPEDLFEVQRSLLAKYHVDEPREFFTTNAFWSVPSDPTNNANATQPPFYVLVGDQQSAQPSFRLASAMVGYNREFLSAYISAHSDPANYGKLTVLELPTDTLTQGPQQIQNSMISDTRVASERTLLERSNRIHYGNLLSLPIADGGVLYVEPLYTERISTSPSSSTFPQLSRVLVSVREPRTEGGVRVGYAPTLAESLDQVFGPGTGRVATARGGDAASAPPPGAGGPAPPQAVPPPRTTQPPAAPPRGPDVPPATVAELRETLADLRAVLDRLEKAIDAAETPGG
Prediction	5644446544424322001100001221221121121111000000210203100001220311121112221122122010000111121134443342132022101220001010202220211010002202000100102414241020220000000010011111222120112112201210100000103433330133011000100012012101100010000010344310000000000000000110000002200211110022231100100202222221221111101001010414445344400430040014004054460434515264534464055245104101000140034004113442410404431000104154431000000010037514661320103102000000000000021243344444444244020200042023545355504253110000112344321000011656324123347434230414100401210000000010421100002402540100111313300420000021164000000442010000000001100002224254424444443444430100000000000011040200312451001300341014204226402640360111043004001410340114104301245110400531266664412000000202557321020000012451200000000001162001000020046441410410232144444005111004341302100000000252000000000013344445522101000000001234344211000041034004401445454444555455554454554555555545544554553355345414544154035205403500540450166156468
	Values range from 0 (buried residue) to 8 (highly exposed residue)

Predicted Normalized B-facotr

(B-factor is a value to indicate the extent of the inherent thermal mobility of residues/atoms in proteins. In I-TASSER, this value is deduced from threading template proteins from the PDB in combination with the sequence profiles derived from sequence databases. The reported B-factor profile in the figure below corresponds to the normalized B-factor of the target protein, defined by B=(B'-u)/s, where B' is the raw B-factor value, u and s are respectively the mean and standard deviation of the raw B-factors along the sequence. (Click here to read more about predicted normalized B-factor)

Top 10 threading templates used by I-TASSER

Rank

PDB
Hit

Iden1

Iden2

Cov

Norm.
Zscore

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                 520                 540                 560                 580                 600                 620                 640                 660                 680                 700                 720                 740                 760                 780                 800                 820                 840                 860                 880                 900                 920                 940                 960

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Sec.Str
Seq

CCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCEEEEEHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCEHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCEEHCCCEEEEEEHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHCCCCCCEEEEHCCCCCCCCHHHHHHHHHHHHCEHCCCHHHHHHHHHHHHHHHHCCCCCCCCCEEEEEHCCEEEEEEEEEEHCCHHHCCCCCCCCHHHHEEEHCCCCEEEHCCCEHCCCCCCCCCCCCCCCCCEEEEEHCCCCCCCCCCCCCCCCCEEEHCCCCCCCCCCEEEHCCCCCCCCCCCCCCCCEEEEEHCCCCCCCHHHHHHHHHHHHCCCEEEHCCCCCCCCEEEHCCCHHHHHHHHCCCEHCCCCCEEEEHCCEEEEEEEEEHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEEEEEEEEEEHCCCCEEEEEEHCCCCHHHHHHHHHCCCCCCCHHHCCHHHHHHHCCHHHHHHHHHHHHHHHCCCCHHHHCCCCCCCCCCCCCCCCCCCCCCCEEEEEHCCCCCCCEEEEEHCCCCCCCCCEEEEEEEHCCCCCCCEEEEEEHCCCCCCCCHHHHHHHHHCCHHHHHHHHHHCCCCCEEHCCEEEEHCCCCEEEEEEEEEHCCCCCCCCCCCCCHHHEEEEEHCCCCCCCCCEEEHCCCHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCC
METGSPGKRPVLPKRARLLVTAGMGMLALLLFGPRLVDIYVDWLWFGEVGFRSVWITVLLTRLAIVAAVALVVAGIVLAALLLAYRSRPFFVPDEPQRDPVAPLRSAVMRRPRLFGWGIAVTLGVVCGLIASFDWVKVQLFVHGGTFGIVDPEFGYDIGFFVFDLPFYRSVLNWLFVAVVLAFLASLLTHYLFGGLRLTTGRGMLTQAARVQLAVFAGAVVLLKAVAYWLDRYELLSSGRKEPTFTGAGYTDIHAELPAKLVLVAIAVLCAVSFFTAIFLRDLRIPAMAAALLVLSAILVGGLWPLLMEQFSVRPNAADVERPYIQRNIEATREAYRIGGDWVQYRSYPGIGTKQPRDVPVDVTTIAKVRLLDPHILSRTFTQQQQLKNFFSFAEILDIDRYRIDGELQDYIVGVRELSPKSLTGNQTDWINKHTVYTHGNGFVAAPANRVNAAARGAENISDSNSGYPIYAVSDIASLGSGRQVIPVEQPRVYYGEVIAQADPDYAIVGGAPGSAPREYDTDTSKYTYTGAGGVSIGNWFNRTVFATKVAQHKFLFSREIGSESKVLIHRDPKERVQRVAPWLTTDDNPYPVVVNGRIVWIVDAYTTLDTYPYAQRSSLEGPVTSPTGIVRQGKQVSYVRNSVKATVDAYDGTVTLFQFDRDDPVLRTWMRAFPGTVKSEDQIPDELRAHFRYPEDLFEVQRSLLAKYHVDEPREFFTTNAFWSVPSDPTNNANATQPPFYVLVGDQQSAQPSFRLASAMVGYNREFLSAYISAHSDPANYGKLTVLELPTDTLTQGPQQIQNSMISDTRVASERTLLERSNRIHYGNLLSLPIADGGVLYVEPLYTERISTSPSSSTFPQLSRVLVSVREPRTEGGVRVGYAPTLAESLDQVFGPGTGRVATARGGDAASAPPPGAGGPAPPQAVPPPRTTQPPAAPPRGPDVPPATVAELRETLADLRAVLDRLEKAIDAAETPGG

5dlqB

0.12

0.11

0.93

1.19

MUSTER

MAPPSMVSSKSPFAVCRHILETSVDYVLFQAATAIMEAVVREWVLLEKGSIESLRTFLLTYVLQRPNLQKYVREQILLAVAVIVKRGSLDKSIDSGNPTVQTLACSILTALLSEFSNCKRVFQEEDLRQIFMLTVGVLQEFSRRENLSAQMSFLPPTESWALLDSRVMELFFTVHRKIREDSDMAQDSLQCLAQLASLHGPIFPDEGSQVDYLAHFIEGLLNTINGIEIEDSEAVGISSIISNLITVFPRNVL-TAIPSELFSSFVNCLTHLTCSFGRSAALEEVLDKDDMVYMEAYDKLLESWLTLVRKGFFTQHAVQVFNSYIQCHLDGTRNLTANGVASREEEEISELQEDDRDQFSDQLASVGMLGRIATSLLEERVTRLHGQLQRHQQDNK------MLDDLYEDILVTGYLLADDTQGETPLIEIMEYSIKHSSEVDINTTLQILGSPGEKASSIPGYSRTDSVLRVSEVESRAIRADLTHLLSPQM--GKDIVWFLKRWAKTYLLVDEKLYDQISLPLSTAFGADT-WIIGYLLQKVISNLSVWSSEQLLVTLVERRANLVIQCNWWNLAKQFAPLNFLSSPVQRTLM--KALVLG-GFAHMDQYPLQQRFLRVINQENFQQMCQQEE----VKQEITATLEALCGIAEATQIDNVAILFNFLMDFLNGLMEVYKNTPETVNLIIEVFVEVAHKQICYLG----SKAMHLY--EACLTLLQVYSKNNLGRQRI------DVTAEEEQYQDLLLIM----ELLTNLLSKVSAADLYGVNLILPLMSQDLLKFPTLCNQYYKLITFICEIFPIPQLPEDLFKSLMYSLELG-----------MTSMSSEVCQLCLEALTPLA-----ELFLATRHF-----LKLVFDMLVLQNTEMTTAAGEA-YQAEYSELVETLLSSQQDPVIYQRLADAFNKLTASST-PDRKQKMAFLKSLEEFMANVGGLL--------

5dlqB

0.13

0.11

0.90

1.00

wMUSTER

MAPPSMVSNEQRQHAEHIFLSFRKPFAVCRHILETSKVDYVLFQAATAIMLEKGSIESLRTFLLTYVLQKYVREQILLAVAVIVKRGSLDKSIDSGNPTVQTLACSILTALLSEFSNCKRVFQEEDLRQIFMLTVGVLQEFSRRENLSAQMSFLPPTESWALLDSRVMELFFTVHRKIRDMAQDSLQCLAQLAS---LHGPIFPDEGSQVDYLAHFIEGLLNTINEAVGISSIISNLITVFPRNVL--------TAIPSELFSSFVNCLTHLTCSFGRSAALEEVLDKDDMVYMEAYDKLLESWLTLVRKGFFTQHAVQVFNSYIQCHLDGTRNLTANGVASREEEEISELQEDDRDQFSDQLASVGMLRIA-TSLLEERVTRLHGQLQ--HQQDNKMLD--DLYEDIHWLILVTGYLLADDTQGETPLEIMEYSIKHSSEVDINTTLQILGSPGEKASSIPGYSRTDSVLRVSEVESRAIRADLTHLLSPQMWF---LKRWAKTY--LLVDEKLY------DQISLPLSTAFGADIGYLLQKVISNLSV-EQDLLLVTLVERRENLVIQ-NWWNLAKQFAPLNFLSSPVMKALV-------LGGFAHMDTYPLQQ--RFLRVINQENFQQMCQQE---VKQEITATLEALCGIAEATQIDNVAILFNFLMDFLNGLMEVYKNTPETVNLIIEVFVEVAHKQICYLG----SKAMHLY--EACLTLSKNNLGRQRIDVTAE----------EEQYQLLLIM-----ELLTNLLSKVSAADLYG--LILPLMSQDLLKFPTLCNQYYKLITFICEI-KIPQLPEDLFK-SLM------YSLEL-----MTSMSSEVCQLCLEALTP-LAEL-----------ATRHFLKLVFDMLVLQNTEMTTAAGEA-YQAEYSELVETLLSSQQDPVIYQRLADAFNKLTASST-PDRKQKMAFLKSLEEFMANVGGLL--------

3wajA

0.12

0.08

0.67

1.09

wdPPAS

FTYYPYGSYTHFG----PFLVYLGSIAGIIFSATSGESLRAVLAFIPAI--LAILPVYLLTREVFDKRAAVIAAFLIAIVGQFLQRSILGFN----DHHIWEAFWQVSALGTFLLAYMAYPVIAGITIGLYVLSWGAGFIIAP--------------LAFMFFAFVLAGFVRKNLSLVAVVTFAVSALIYLPFAFNYPGFSTIFYSPFQLLVLLGSAVIAAAFYQIEKWNDVGFFERVGLGRKGMPLA-------AVLHFGALFFFGMAGILYSAYRFLKRRWGQNRFAYYFAAVSAVYSALALSVVFDKLHFRVAFALLIALAAIYPTYILADAQ-----------SSYAGGPNKQWYDALTWMREN----DGEKYDEYYL------LYPTPQSNKEPFSYPFET----GVIS---------------W------Y--GH-WIEAVAH-ANPFQAGIGNKYNNVPGASSFFTAENESYAE---------------FVAEKLNVKYVVS-------DI-------------------EMETGKYYAMAVWAEGD-------------------LPLAEKY-------------------YGGYFYYSPTGTFGYANSQWDIPLNSIIIPLRIPSEL--Y--STMEAKLHLFDGSYRMIYESDYPAEWKSYSSQVNLNNESQVLQTALYEAVMRARYGV-MGTQEVLYKYA---YTQLYEK-------KMGIPVKIAPSGYVKIFERVKG------AVVTGKVSANVTEVSVNATIKT---NQNRTFEYWQ-------------TVEVKN------------------GTTVVLPYSHNS---VKPIYHIKAGNVVKEITIYESQ-VQ---------NGEIIQL--DL--------------------------------------------------------------------------------------------

5dlqB

0.11

0.93

1.09

PPAS

MAPPSMVSNEQRQHAEHIFLSFRKPFAVCRHILETSKVDYVLFQAATAIMLEKGSIESLRTFLLTYVLQKYVREQILLAVAVIVKRGSLDKSIDSGNPTVQTLACSILTALLSEFSNCKRVFQEEDLRQIFMLTVGVLQEFSRRENLSAQMSFLPPTESWALLDSRVMELFFTVHRKIREDSDMAQDSLQCLAQLASLHGPIFPDEGSQVDYLAHFIEGLLNTINGIEIEDSEAVGISSIISNLITVFPRNVL-TAIPSELFSSFVNCLTHLTCSFGRSAALEEVLDKDDMVYMEAYDKLLESWLTLVRKGFFTQHAVQVFNSYIQCHLAATRNLTANGVASREEEEISELQEDDRDQFSDQLASVGMLGRIAAEHCMPLLTSLLEERV-HGQLQRHQQDNKMLDDLYEDVTGYLLADDTQGETPLIPPEIMEYSIKHSSEVDINTTLQILGSPGEKASSIPGYSRTDSVLRVSEVESRAIRADLTHLLSPQMWF---LKRWAKTYL----LVDEKLYDQISLPLSTAFGADTEWIIGYLLQKVISNLSVWSSQLLLVERRERANLVIQCENWWNLAKQFAPLNFLSSPVQRTLM-VLGGFAHMDTETKQQYPLQQRFLRVINQENFQQMCQQEE----VKQEITATLEALCGIAEATQIDNVAILFNFLMDFLNGLMEVYKNTPETVNLIIEVFVEVAHKQICYLGESKAMHLYEACLTQVYSKNNLGRQRIDVTAEEEQYLTNLLSKVSAADVVLYGLILPLMSQDLLKFPTLCNQYYKLITFICEIFPEKIPQLPEDLFKSLMYSSSEVCQLCLEA--------TPLAELFLATRHFLLVFDMLVLQNTEMTTAAGEAFYTLVCL--------------YQAEYSELVETLLSSQQD---------------------------PVIYQRLADAFNKLTASST-PDRKQKMAFLKSLEEFMANVGGLL--------

3wajA

0.12

0.08

0.68

1.03

wMUSTER

FTYYPYGSYTHFG----PFLVYLGSIAGIIFSATSGESLRAVLAFIPAI-VLAILPVYLLTREVFDKRAAVIAAFLIAIVGQFLQRSILGFNDH--HIWEAFWQVSALGTFLLAYNMAYPVIAGITIGLYVLSWGAGFIIAPI--------------LAFMFFAFVLAGFVRKNLSLVAVVTFAVSALIYLPFAFNYPGFSTIFYSPFQLLVLLGSAVIAAAFYQIEKWNDVFFERVGLGRKGMPLAVIVL----AVLHFGALFFFGMAGILYSAYRFLKRRWGQNRFAYYFAAVSAVYSALALSVVFDKLHFRVAFALLIALAAIYPTYILADAQ-----------SSYAGGPNKQWYDALTWMRENT---DGEKYDEYYL-----QLYPTPQSNKEPFSYPFET---YGVIS---------------W------Y--GH-WIEAVAH-ANPFQAGIGNKYNNVPGASSFFTAE-------------NESYAE--FVAEKLNVKYVVS-------DI---------------EMETGKYYAMAVWAEG----------------------DLPLAEKYYGGYFYYSPT--------------------GTFGYANSQWDIPLNSIIIPLRIPSEL--Y-YSTMEAKLHLFDGSYRMIYESDYPAEWKSYSSQV--NLNNESQVLQTALYEAVMRARYTMGTQEVLYKYA---YTQLYEK-------KMGIPVKIAPSGYVKIFERVKG-----AVVTGK-VSANVTEVSVNATIKT---NQNRTFEYWQTVE-------------VKN------------------GTTVVLPYSHNS---VKPIYHIKAGNVVKEITIYESQ-VQ---------NGEIIQL--DL--------------------------------------------------------------------------------------------

4c0oA

0.11

0.09

0.83

1.12

MUSTER

LYHDPDPSG-ELQRSVHAWEISDQLLQIRVESCYFAAQTMKMKIQTSFYELPTDSHASLRDSLLTHIQNLKDLSPVIVTQLALAIADLALQMPSWKGVEKYSTSLPFLLEILTVLPEEVANRRTEIIEDLAFYSSTVVSLLMTCVEKAGTDEK---------MLMKVFRCLGSWFNLGVLDSNFMAKLLALLFEVLQQDKTSSNLHEAASDCVCSALYAIENVETNLPLAMQLFQGVLTLETAYHMAVAREDLDKVLNYCRIFTELCETFLEKIVCTGLGDLRTLELLLICAGYEVVEISFNFWYRLGEHLY-DEVIHGIFKAYIQRLLHALARHCQLEPDH----EGVPEETDDFGEFRMRVSDLVKD-LIFLIGSMECFAQLYSTLKEGNPPWEV----------TEAVLFIMAAI-AKSVDPENNPTLVEVLEGVHTA-VRYTSIELVGEMSEVVDRNPQFLDPVLGYLMKGLCEKPLASAAAKA----HNICSVCRDHMAQHFLLEIARSLDSFLLSPEAAVGLLKG-----TALVLARLPLDKITECLSELCSVQVMALKKLL--SDPTVFLDRLAVIFRHTNPIWPVLSDNRIVRCCRCLFAVRCVGKGSAALLQPLVTQMVNVYHVHQHSCFL--YLGSIL------VDEYGMEEGQGLLDMLQALCIPTFQLLEQ-QNGLQNHPDTVDDLFRLATRFIQRS----PVTLLRSQVV----------------------------IPILWAIASTTLDHRDANCSVM-------RFLRDLIHTGVANDHEEDFELRKELIG--QVMNQLGQQL-----------------------VSQL-LHTCCFCLPPYTLPDVAEVLWEIMQVDR---------PTFCRWLENSLKGLPTVT--------------------------------HKQLTDFHKQVTSAE------ECKQVCWALRDFTRLF--------

3wajA

0.11

0.08

0.70

1.23

PPAS

FTYYPYGSYTHFG----PFLVYLGSIAGIIFSATSGESLRAVLAFIPAI---AILPVYLLTREVFDKRAAVIAAFLIAIV--GQFLQRSILGFNDHHIWEAFWQVSALGTFLLAYNMAYPVIAGITIGLYVLSWGAGFIIAPI--------------LAFMFFAFVLAGFVRKNLSLVAVVTFAVSALIYLPFAFNYPGFSTIFYSPFQLLVLLGSAVIAAAFYQIEKWNDVGFFERVGLGRKGMPLGLFFVLTNAVLHFGALFFFGMAGILYSAYRFL-KRRSFPEMALLIWAIAMFIALWGQNRFAYYFA--AVSAVYSALALSVVFDKLHFRVA---------------------------------FALLIALAAIYPTYILADAQSSYAGGPNKQW------------------YDAL-----TWMREN---TPDGEKYDEYYLQLYPTPQSNKEPFSYPFETYGVI--------------------IAVAHRM-------PIAN------PFQAGIGNKYNNVPGASSFFTAENESYAEFVAEKLNVKYVVSDI----------EMETGKYYAMAVWAEGDLPLAE-----KYYGGYFYYSPTGTFGYANSQWDIPLNSIIIPLRIPSE--LY-YSTMEAKLHLFDGSYRMIYESDYPAEWKSYSSQVNLNNESQVLQTALYEAVMRARYGVSPTMGTQEVLYKYAYTQLYEKKMGIVKIAPSGYVKIFERVKGAVVTGKVSANVTEVSVNATIKTNQNRTFEYWQTVEVKNGT---TVVL---SHNSDYPTPYHI-----KAGNVVKEITIYE--SQVQNGEIIQLDL------------------------------------------------------------------------------------------------------------------------------------------------

1wa5C

0.12

0.10

0.85

1.12

MUSTER

MS----------------DLETVAKFLAESVIASTAKTSERNLRQLET-GFGLTLLHVIAST----LPLSTRLAGALFFKNFIKRKWVDENGNHLLPANNVELIKKEIVPLMISLPNNLQVQIGEAISSIADSDWPTLLSDLA-SRLSNDDMVTNKGVLTVAHSIFKRWSDELFLEIKLVLDVFTAPFLNLLKTVDQITANEKASLNILFDVLLVLIKLYYDFNCQEFFEDNIQVGMGSYSNPLLEHAS-VLIKVKSSIQELVQLYTTRYEDVFGPMINE---FIQITWNLLTSIYDILVSKSLSFLTAVTRIPKEIFNNESAMNNITEQIILPNVTLREEDVE-----LFEDDPIEYIRRDLE----------TRRRACTDFLKELKEK--NEVLVT-----------NIFL---AHMKGFVDQYMSNWKFKDLYI--LFTALAINGNITNAGVSSTNNLLNVVD----FFTKEIAP------------------DLTSNNIP----------------------------------HIILRVDAIKYIYT----FRNQLTKA-------QLIELMPILATFL-QTDEY-VVYT--YAAITIEKILTIDISNSTEILNLIALILKHGSSPEKLAENEFLMRSIFRVLQTSE--------DSIQPLFPQLLAQFIEIVTIMAKNPSN--PRF--THYTFESIGAILNYTQRQNLPLLVDS--MMPTFLTVFSEDIQEFIPYVFVVEQSATIPESIKLLAPNVWELKGNIPAVTRLKSDSSIFPDLVVLGISKAYEVHGFDLLEHIMLLKQIAVLLLQRLQNSKTERYVKKLTVFFG-GSDFLIH--FIDEVQDGLFQQIWTTLPTILIGVINGQFFQSKYPTLISSTMNSIIETASSQSIANLKNDYVEEISTFGSHFSKSEKPFDPLPEIDVNNGVRLYVAEALNKYNAISGNTFLNTILPQLQENQVKLNQLLV---

3wajA

0.11

0.08

0.77

1.96

Env-PPAS

-----------------SVLVIAALISVKLRILNPWNSVFTWTVRL--GGNDPWYYYRLIENTIHNFPSYTHFGPFLVYLGSIAGIIFSATSGESLRAVLAFIPAIGGVLAILPVYLLTREVFDKRAAVIAAFLIAIVGQFLQRSILGFNDHAFWQVSALGTFLLAYNQMAYPVIAGITIGLYVLSWGAGFIIAPIILAFMFFAFVLAGFVNADRKNLSLVAVVTFAVSALIYLPFA-------FNYPGFSTIFYSPFQLLVLLGSAVIAAAFYQIEKWNDVGFFERVGLGRKGMPLAVIVLTALIMGLFFVLTNAVLHFGALFFFGMAGILYSAYRFLKRRSFPEMA-----LLIWAIAMFIALWGQNRYFAAVSAVYSALALSVVFDKLHFRVAFALLIALA---AIYPTYILADAQSSYAGGPNKQWYDALTWMRE-----NTPDGEKYDEYYLQLYP--------------TPQSNKEPFSYPFETYGVIYGHWIEAVAHRMPIAN------PFQAGIGNKYNNVPGASSFFTAENESYAEFVAEKLNVKYVVSDI----------EMETGKYYAMAVWAEGDLPLAE-----KYYGGYFYYSPTGTFGYANSQWDIPLNSIIIPLRIPS--ELY-YSTMEAKLHLFDGSYRMIYESDYPAEWKSYSSQVNLNNESQVLQTALYEAVMRARYGVSPTMGTQEVLYKYAYTQLYEKKMGIVKIAPSGYVKIFERVKGAVVTGKVSANVTEVSVNATIKTNQNRTFEYWQTVEVKNGT-Y-TVVLYSHNSDYPVITPYHIKA-----GNVVKEITIYE--SQVQNGEIIQLDL------------------------------------------------------------------------------------------------------------------------------------------------

4qqxA

0.11

0.08

0.80

1.00

PPAS

---------------------------------------------------------------------------------------PPLDLGLRGKSLDAAAAALVLWNEYLSPGLRDTIASSMETDEEHAGHCIAFWAGLHDDLSAYPGEELSGEAT--GKWLPFALPSLGYPNGGLVTGLVAQMLGGH-HGTFHPHPSFQSRNPLAEFGFSSPHWEKQRHALLHAVFDATGRPTPPDMLD--------------------GPTASVVCGLVILADWLVSQ-----------------EDFLLERLTSLPADGSASALRAHFETSLRRIPSLLDAAGLRPITVPPATFPHLSKPNGLQASLAKHLPCLCTGYHVADLLGKATGRPGRFLALP------MATAD----QMHTRLKEY-ARYRVENTDLPRSSTLALLHSMA---WLNPDYAPAHRDPFAATDWLMGRKRGLLAPW-IDQALMAVLRAKHNALRLFGL----AGKVVVV----DEAHA----------V----DPYMQVLLEQLLRWLGTLDVPVVLL------HHSIANSLVKAYLEGARGRRWNRSEPQPVSEVSYPGWLHVDARIGKVTRSSDVDPLPIATTP---------RKPLEVRLVDVPVKEGALNRSTVLAKELTPLVKQCAAIICTTVAEAQGVYDLLSQWFATNRQRTEITATIVDLFGKEGAQSGRRPTAVL---ATQVVEQSLDLDVDLMISDLAPVSL----LLQRAGRCWRHEHLG-IINRPQWAKQPELVVLTPEQNRAPWFPRSWTS-VYPLALLQRTYTLLRRRN----GAPVQIP-ED----LVDDVYDDDSLAEDLEADMERMGEELAVIPDPDDAEDNLNGLTEFSFHVLATRFGAGSDTAGNRWLDPECTVEFPEQGTGREGRFTMADCRDLVARTIPVRMGPWASQLTEDNHPPEAWRELIPQRVTDAVLPTETGG

(a)	Iden1 is the number of template residues identical to query divided by number of aligned residues.
(b)	Iden2 is the number of template residues identical to query divided by query sequence length.
(c)	Cov is equal the number of aligned template residues divided by query sequence length.
(d)	Norm. Zscore is the normalized Z-score of the threading alignments. A Normalized Z-score >1 means a good alignment.
(e)	Download Align. list the threading program used to identify the template provide the 3D structure of aligned regions of threading templates.

Top 5 final models predicted by I-TASSER

(For each target, I-TASSER simulations generate a large ensemble of structural conformations, called decoys. To select the final models, I-TASSER uses the SPICKER program to cluster all the decoys based on the pair-wise structure similarity, and reports up to five models which corresponds to the five largest structure clusters. The confidence of each model is quantitatively measured by C-score that is calculated based on the significance of threading template alignments and the convergence parameters of the structure assembly simulations. C-score is typically in the range of [-5, 2], where a C-score of higher value signifies a model with a high confidence and vice-versa. TM-score and RMSD are estimated based on C-score and protein length following the correlation observed between these qualities. Since the top 5 models are ranked by the cluster size, it is possible that the lower-rank models have a higher C-score in rare cases. Although the first model has a better quality in most cases, it is also possible that the lower-rank models have a better quality than the higher-rank models as seen in our benchmark tests. If the I-TASSER simulations converge, it is possible to have less than 5 clusters generated. This is usually an indication that the models have a good quality because of the converged simulations.)

More about C-score

Local structure accuracy of first model

Download Model 1

C-score=-2.28

Estimated TM-score = 0.45±0.14

Estimated RMSD = 14.6±3.6Å

Download Model 2

C-score=-3.70

Download Model 3

C-score=-3.61

Download Model 4

C-score=-3.92

Download Model 5

C-score=-3.81

Proteins structureally close to the target in PDB (as identified by TM-align

(After the structure assembly simulation, I-TASSER uses the TM-align structural alignment program to match the first I-TASSER model to all structures in the PDB library. This section reports the top 10 proteins from the PDB that have the closest structural similarity, i.e. the highest TM-score, to the predicted I-TASSER model. Due to the structural similarity, these proteins often have similar function to the target. However, users are encouraged to use the data in the next section 'Predicted function using COACH' to infer the function of the target protein, since COACH has been extensively trained to derive biological functions from multi-source of sequence and structure features which has on average a higher accuracy than the function annotations derived only from the global structure comparison.)

Top 10 Identified stuctural analogs in PDB

Rank	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov
1	5dlqB	0.871	3.38	0.105	0.945
2	3m1iC	0.647	6.04	0.066	0.823
3	3gjxA	0.627	6.23	0.054	0.807
4	2x1gF	0.595	6.47	0.064	0.777
5	3a6pA	0.576	6.10	0.058	0.730
6	4fgvA	0.559	7.17	0.054	0.766
7	2x19B	0.558	6.22	0.067	0.712
8	4c0oA	0.521	6.94	0.053	0.698
9	3icqT	0.512	6.55	0.054	0.670
10	1u6gC	0.491	7.24	0.064	0.672

(a)	Query structure is shown in cartoon, while the structural analog is displayed using backbone trace.
(b)	Ranking of proteins is based on TM-score of the structural alignment between the query structure and known structures in the PDB 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 query protein.

Predicted function using COACH

(This section reports biological annotations of the target protein by COACH based on the I-TASSER structure prediction. COACH is a meta-server approach that combines multiple function annotation results from the COFACTOR, TM-SITE and S-SITE programs.)

Ligand binding sites

Rank	C-score	Cluster size	PDB Hit	Lig Name	Download Complex	Ligand Binding Site Residues
1	0.04	2	4xk8g	CLA	Rep, Mult	269,273
2	0.02	1	1jb0K	CLA	Rep, Mult	36,41
3	0.02	1	2y69O	HEA	Rep, Mult	692,727
4	0.02	1	2l1lB	III	Rep, Mult	148,152,166,167,170,171,174,178
5	0.02	1	2hbvB	ZN	Rep, Mult	434,439,778
6	0.02	1	3dc1B	AKG	Rep, Mult	494,645
7	0.02	1	2byoA	LNL	Rep, Mult	320,327
8	0.02	1	2vglA	IHP	Rep, Mult	104,136,140,151,155
9	0.02	1	1w9c0	III	Rep, Mult	125,126,129,132,133,136,140,151,154
10	0.02	1	2bptA	III	Rep, Mult	135,136,163,165,166,168,169,170,218,219
11	0.02	1	2b0qA	MG	Rep, Mult	587,604
12	0.02	1	1nd4A	MG	Rep, Mult	642,661
13	0.02	1	3cknA	MN	Rep, Mult	604,710
14	0.02	1	2hykA	CA	Rep, Mult	417,467,649
15	0.02	1	3bz1H	CLA	Rep, Mult	275,278
16	0.02	1	2vc7D	CO	Rep, Mult	645,691,710
17	0.02	1	4gqtA	ZN	Rep, Mult	693,697
18	0.02	1	1oekA	ZN	Rep, Mult	691,710
19	0.02	1	2z66A	UUU	Rep, Mult	157,159,187
20	0.02	1	2xgfA	FE2	Rep, Mult	434,439

	Download the all possible binding ligands and detailed prediction summary.
	Download the templates clustering results.
(a)	C-score is the confidence score of the prediction. C-score ranges [0-1], where a higher score indicates a more reliable prediction.
(b)	Cluster size is the total number of templates in a cluster.
(c)	Lig Name is name of possible binding ligand. Click the name to view its information in the BioLiP database.
(d)	Rep is a single complex structure with the most representative ligand in the cluster, i.e., the one listed in the Lig Name column. Mult is the complex structures with all potential binding ligands in the cluster.

Enzyme Commission (EC) numbers and active sites

Rank	Cscore^EC	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov	EC Number	Active Site Residues
1	0.060	3lxuX	0.274	9.55	0.029	0.448	3.4.14.10	123
2	0.060	3h09B	0.282	8.61	0.042	0.429	3.4.21.72	NA
3	0.060	2q1fA	0.286	8.43	0.046	0.431	4.2.2.21	NA
4	0.060	2zxqA	0.289	8.75	0.061	0.447	3.2.1.97	150
5	0.060	1slyA	0.284	7.07	0.041	0.389	4.2.2.-	NA
6	0.060	2pffA	0.283	8.89	0.031	0.440	2.3.1.41,2.3.1.86	NA
7	0.060	3ffzA	0.324	9.22	0.038	0.524	3.4.24.69	NA
8	0.060	2uv8G	0.279	9.59	0.052	0.462	2.3.1.86	NA
9	0.060	3ebgA	0.296	7.89	0.037	0.424	3.4.11.-	NA
10	0.060	2gtqA	0.300	7.98	0.045	0.436	3.4.11.2	NA
11	0.060	2vdcA	0.319	8.67	0.027	0.491	1.4.1.13	NA
12	0.060	2ckjA	0.284	9.20	0.046	0.455	1.17.1.4,1.17.3.2	NA
13	0.060	2vdcF	0.317	8.83	0.045	0.492	1.4.1.13	NA
14	0.060	1bxrA	0.294	9.47	0.055	0.479	6.3.5.5	NA
15	0.060	3b9jJ	0.130	6.28	0.017	0.168	1.17.1.4,1.17.3.2	NA
16	0.060	1ofdA	0.303	9.18	0.049	0.492	1.4.7.1	NA
17	0.060	3b9jI	0.087	5.59	0.029	0.107	1.17.1.4,1.17.3.2	NA
18	0.060	3eqlD	0.266	9.41	0.039	0.436	2.7.7.6	NA
19	0.060	2r7oA	0.267	8.63	0.033	0.406	2.7.7.48	NA

(a)	Cscore^EC is the confidence score for the EC number prediction. Cscore^EC values range in between [0-1]; where a higher score indicates a more reliable EC number prediction.
(b)	TM-score is a measure of global structural similarity between query and template protein.
(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 global structural alignment and is equal to the number of structurally aligned residues divided by length of the query protein.

Gene Ontology (GO) terms

Rank	Cscore^GO	TM-score	RMSD^a	IDEN^a	Cov	PDB Hit	Associated GO Terms
Homologous GO templates in PDB
0	0.20	0.613	5.96	0.07	0.78	3gb8A	GO:0000055 GO:0000056 GO:0000122 GO:0000776 GO:0003723 GO:0005215 GO:0005487 GO:0005634 GO:0005635 GO:0005642 GO:0005654 GO:0005730 GO:0005737 GO:0005829 GO:0006611 GO:0006810 GO:0006886 GO:0007062 GO:0008536 GO:0008565 GO:0010824 GO:0015030 GO:0015031 GO:0016020 GO:0016032 GO:0019904 GO:0030529 GO:0031965 GO:0034504 GO:0042176 GO:0042493 GO:0043231 GO:0043488 GO:0046825 GO:0051028 GO:0075733
1	0.11	0.627	6.23	0.05	0.81	3gjxA	GO:0000055 GO:0000056 GO:0000122 GO:0000776 GO:0003723 GO:0005487 GO:0005634 GO:0005642 GO:0005654 GO:0005730 GO:0005737 GO:0006611 GO:0006810 GO:0006886 GO:0008536 GO:0008565 GO:0010824 GO:0015030 GO:0015031 GO:0016020 GO:0019904 GO:0030529 GO:0031965 GO:0034504 GO:0042176 GO:0042493 GO:0043231 GO:0046825 GO:0051028
2	0.08	0.636	6.15	0.07	0.82	5difC	GO:0000055 GO:0000776 GO:0005634 GO:0005737 GO:0005816 GO:0006406 GO:0006611 GO:0006810 GO:0006886 GO:0008536 GO:0008565 GO:0015031 GO:0034501 GO:0048471
3	0.07	0.641	6.10	0.07	0.82	3wyfC	GO:0000055 GO:0000776 GO:0005634 GO:0005737 GO:0005816 GO:0006406 GO:0006611 GO:0006810 GO:0006886 GO:0008536 GO:0008565 GO:0015031 GO:0034501 GO:0048471
4	0.07	0.595	6.47	0.06	0.78	2x1gF	GO:0005737 GO:0006606 GO:0006886 GO:0007270 GO:0008139 GO:0008536 GO:0008565 GO:0031965 GO:0042331 GO:0050804
5	0.07	0.539	7.16	0.07	0.74	4c0qA	GO:0004872 GO:0005634 GO:0005737 GO:0006810 GO:0008139 GO:0008565 GO:0015031 GO:0031965 GO:0035048 GO:0042802 GO:0043231
6	0.07	0.565	6.09	0.07	0.72	3zjyE	GO:0005634 GO:0005737 GO:0006606 GO:0006810 GO:0006886 GO:0008139 GO:0008536 GO:0008565 GO:0015031 GO:0031965
7	0.07	0.576	6.10	0.06	0.73	3a6pA	GO:0000049 GO:0003723 GO:0003729 GO:0005634 GO:0005654 GO:0005737 GO:0005829 GO:0006611 GO:0006810 GO:0006886 GO:0008536 GO:0008565 GO:0015031 GO:0031047 GO:0035281 GO:0042565 GO:0044822 GO:0070883 GO:0090631 GO:1900370
8	0.07	0.554	7.09	0.07	0.76	4ol0B	GO:0004872 GO:0005634 GO:0005737 GO:0006810 GO:0008139 GO:0008565 GO:0015031 GO:0031965 GO:0035048 GO:0042802 GO:0043231
9	0.07	0.509	6.61	0.07	0.67	2xwuB	GO:0005634 GO:0005737 GO:0006606 GO:0006810 GO:0006886 GO:0008139 GO:0008536 GO:0008565 GO:0015031 GO:0031965
10	0.07	0.512	6.55	0.05	0.67	3icqT	GO:0000049 GO:0003723 GO:0005525 GO:0005634 GO:0005635 GO:0005643 GO:0005737 GO:0005829 GO:0006409 GO:0006605 GO:0006810 GO:0008033 GO:0008536 GO:0015932 GO:0016363 GO:0071528
11	0.07	0.529	6.69	0.06	0.70	4bsmA	GO:0000055 GO:0000056 GO:0000122 GO:0000776 GO:0003723 GO:0005215 GO:0005487 GO:0005634 GO:0005635 GO:0005642 GO:0005654 GO:0005730 GO:0005737 GO:0005829 GO:0006611 GO:0006810 GO:0006886 GO:0007062 GO:0008536 GO:0008565 GO:0010824 GO:0015030 GO:0015031 GO:0016020 GO:0016032 GO:0019904 GO:0030529 GO:0031965 GO:0034504 GO:0042176 GO:0042493 GO:0043231 GO:0043488 GO:0046825 GO:0051028 GO:0075733
12	0.07	0.465	6.65	0.03	0.61	1wa5C	GO:0005049 GO:0005634 GO:0005635 GO:0005737 GO:0005829 GO:0006606 GO:0006611 GO:0006810 GO:0006886 GO:0007049 GO:0007067 GO:0008536 GO:0015031 GO:0051301
13	0.07	0.433	7.75	0.06	0.61	1z3hB	GO:0005049 GO:0005634 GO:0005635 GO:0005737 GO:0005829 GO:0006606 GO:0006611 GO:0006810 GO:0006886 GO:0007049 GO:0007067 GO:0008536 GO:0015031 GO:0051301
14	0.06	0.419	6.13	0.04	0.53	1qbkB	GO:0000059 GO:0000060 GO:0005634 GO:0005737 GO:0005829 GO:0006607 GO:0006610 GO:0006810 GO:0006886 GO:0008139 GO:0008536 GO:0008565 GO:0015031 GO:0016032 GO:0031965 GO:0034399 GO:0043488 GO:0044822 GO:0070062 GO:0072372
15	0.06	0.387	6.67	0.04	0.51	4jlqA	GO:0000059 GO:0000060 GO:0005634 GO:0005737 GO:0005829 GO:0006607 GO:0006610 GO:0006810 GO:0006886 GO:0008139 GO:0008536 GO:0008565 GO:0015031 GO:0016032 GO:0031965 GO:0034399 GO:0043488 GO:0044822 GO:0070062 GO:0072372
16	0.06	0.243	9.17	0.04	0.39	4qshC	GO:0000166 GO:0003677 GO:0003824 GO:0004075 GO:0004736 GO:0005524 GO:0006090 GO:0006094 GO:0009374 GO:0016874 GO:0046872
17	0.06	0.218	9.85	0.02	0.37	5anbK	GO:0000166 GO:0003924 GO:0005525 GO:0005622 GO:0006412 GO:0042254 GO:0042256 GO:0043022
18	0.06	0.212	8.94	0.03	0.33	4qslA	GO:0000166 GO:0003677 GO:0003824 GO:0004075 GO:0004736 GO:0005524 GO:0006090 GO:0006094 GO:0009374 GO:0016874 GO:0046872

Consensus prediction of GO terms

Molecular Function	GO:0003676	GO:0008565	GO:0008536
GO-Score	0.57	0.42	0.42
Biological Processes	GO:0009894	GO:0042221	GO:0030163	GO:0046605	GO:0050658	GO:0033365	GO:0033157	GO:0006357	GO:0051298	GO:0051246	GO:0046822	GO:0045892	GO:1902583	GO:0000819	GO:0046794	GO:0043487	GO:0019058	GO:0006611	GO:0000055
GO-Score	0.57	0.57	0.57	0.57	0.57	0.57	0.57	0.57	0.57	0.57	0.57	0.57	0.39	0.39	0.39	0.39	0.39	0.38	0.38
Cellular Component	GO:0042175	GO:1990904	GO:0098589	GO:0016604	GO:0044444	GO:0000776	GO:0031965
GO-Score	0.57	0.57	0.57	0.57	0.39	0.38	0.33

(a)	Cscore^GO is a combined measure for evaluating global and local similarity between query and template protein. It's range is [0-1] and higher values indicate more confident predictions.
(b)	TM-score is a measure of global structural similarity between query and template protein.
(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 global structural alignment and is equal to the number of structurally aligned residues divided by length of the query protein.
(f)	The second table shows a consensus GO terms amongst the top scoring templates. The GO-Score associated with each prediction is defined as the average weight of the GO term, where the weights are assigned based on Cscore^GO of the template.

[Click on result.tar.bz2 to download the tarball file including all modelling results listed on this page]

Please cite the following articles when you use the I-TASSER server:
1.	J Yang, R Yan, A Roy, D Xu, J Poisson, Y Zhang. The I-TASSER Suite: Protein structure and function prediction. Nature Methods, 12: 7-8, 2015.
2.	J Yang, Y Zhang. I-TASSER server: new development for protein structure and function predictions, Nucleic Acids Research, 43: W174-W181, 2015.
3.	A Roy, A Kucukural, Y Zhang. I-TASSER: a unified platform for automated protein structure and function prediction. Nature Protocols, 5: 725-738, 2010.
4.	Y Zhang. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics, 9: 40, 2008.