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I-TASSER results for job id S34335

  Submitted Sequence

>your_protein
MARELRALLLWGRRLRPLLRAPALAAVPGGKPILCPRRTTAQLGPRRNPAWSLQAGRLFS
TQTAEDKEEPLHSIISSTESVQGSTSKHEFQAETKKLLDIVARSLYSEKEVFIRELISNA
SDALEKLHHKLVSDGQALPEMEIHLQTNAEKGTITIQDTGIGMTQEELVSNLGTIARSGS
KAFLDALQNQAEASSKIIGQFGVGFYSAFMVADRVEVYSRSAAPGSLGYQWLSDGSGVFE
IAEASGVRTGTKIIIHLKSDCKEFSSEARVRDVVTKYSNFVSFPLYLNGRRMNTLQAIWM
MDPKDVREWQHEEFYRYVAQAHDKPRYTLHYKTDAPLNIRSIFYVPDMKPSMFDVSRELG
SSVALYSRKVLIQTKATDILPKWLRFIRGVVDSEDIPLNLSRELLQESALIRKLRDVLQQ
RLIKFFIDQSKKDAEKYAKFFEDYGLFMREGIVTATEQEVKEDIAKLLRYESSALPSGQL
TSLSEYASRMRAGTRNIYYLCAPNRHLAEHSPYYEAMKKKDTEVLFCFEQFDELTLLHLR
EFDKKKLISVETDIVVDHYKEEKFEDRSPAAECLSEKETEELMAWMRNVLGSRVTNVKVT
LRLDTHPAMVTVLEMGAARHFLRMQQLAKTQEERAQLLQPTLEINPRHALIKKLNQLRAS
EPGLAQLLVDQIYENAMIAAGLVDDPRAMVGRLNELLVKALERH

  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
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |     
MARELRALLLWGRRLRPLLRAPALAAVPGGKPILCPRRTTAQLGPRRNPAWSLQAGRLFSTQTAEDKEEPLHSIISSTESVQGSTSKHEFQAETKKLLDIVARSLYSEKEVFIRELISNASDALEKLHHKLVSDGQALPEMEIHLQTNAEKGTITIQDTGIGMTQEELVSNLGTIARSGSKAFLDALQNQAEASSKIIGQFGVGFYSAFMVADRVEVYSRSAAPGSLGYQWLSDGSGVFEIAEASGVRTGTKIIIHLKSDCKEFSSEARVRDVVTKYSNFVSFPLYLNGRRMNTLQAIWMMDPKDVREWQHEEFYRYVAQAHDKPRYTLHYKTDAPLNIRSIFYVPDMKPSMFDVSRELGSSVALYSRKVLIQTKATDILPKWLRFIRGVVDSEDIPLNLSRELLQESALIRKLRDVLQQRLIKFFIDQSKKDAEKYAKFFEDYGLFMREGIVTATEQEVKEDIAKLLRYESSALPSGQLTSLSEYASRMRAGTRNIYYLCAPNRHLAEHSPYYEAMKKKDTEVLFCFEQFDELTLLHLREFDKKKLISVETDIVVDHYKEEKFEDRSPAAECLSEKETEELMAWMRNVLGSRVTNVKVTLRLDTHPAMVTVLEMGAARHFLRMQQLAKTQEERAQLLQPTLEINPRHALIKKLNQLRASEPGLAQLLVDQIYENAMIAAGLVDDPRAMVGRLNELLVKALERH
PredictionCCHHHHHHHHHHHHCHHHHCCHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHCHHHCCCCCCCCCSSSSSSSSHHHHHHHHHHHCCCCCHHHHHHHHHCHHHHHHHHHHHHCCCCCCCCCCSSSSSSCCCCCSSSSSSCCCCCCHHHHHHHHHHHSSCCHHHHHHHHHCCCCCCCCCCCCCCCCCSSSSSSCCSSSSSSCCCCCCCCSSSSSSCCCCSSSSSCCCCCCCCCSSSSSSCCCCHHHCCHHHHHHHHHHHHHHCCCCCSCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHCCCCCSSSSSCCCCCSSSSSSSSSCCCCHHHHHHHHHCCCCSSSSSCCSSSCCCCCHHCHHHHHHSSSSSSCCCCCCCCCHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHSSCCCCCCCCCCSSSHHHHHHCCCCCCCCSSSSSCCCHHHHHHCHCHHHHHHCCCSSSSSCCHHHHHHHHHHHHHCCCCCSSSCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCSSSSSSCCCCCCCCSSCCCCCHHHHHHHHHHHHHHCCCCCCCCCCSSSSCCCCHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHCC
Conf.Score90788999999852037660767640458896689986512038887863213555568843101222260101211013577752588774387899999874048825889999870899999999986048322467039997417888899996887878999998655455303799998742545445560042450003799950589999789998772799996799628971578777673489998676222245999999853176517876210230034566754367664887776778887655137980898512688624789998547682432124550377588878689768700228676622567886698986544887734399999999999999999999998799999999999989998761203345558998644251466877652456899986267878757999779899998493046787569579995565899999789863798715851222223232221023344555652877789999999973554336887754788874053375435677899999987502233567837998899989999999875388899999999999999867997079999999999999986239

  Top 5 Models predicted by I-TASSER

Download Model 1 Download Model 2 Download Model 3 Download Model 4 Download Model 5
C-score=-0.92
C-score=-1.46
C-score=-1.79
C-score=-2.39
C-score=-2.56
 
Estimated accuracy of Model1: 0.60±0.14 (TM-score)    10.3±4.6Å (RMSD)    (Read more about C-score of generated models)

  Top 10 templates used by I-TASSER

RankPDB
Hit
Iden1Iden2Cov.Norm.
Z-score
Download
Align.
                   20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220                 240                 260                 280                 300                 320                 340                 360                 380                 400                 420                 440                 460                 480                 500                 520                 540                 560                 580                 600                 620                 640                 660                 680                 700
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |    
Sec.Str
Seq
CCHHHHHHHHHHHHCHHHHCCHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHCHHHCCCCCCCCCSSSSSSSSHHHHHHHHHHHCCCCCHHHHHHHHHCHHHHHHHHHHHHCCCCCCCCCCSSSSSSCCCCCSSSSSSCCCCCCHHHHHHHHHHHSSCCHHHHHHHHHCCCCCCCCCCCCCCCCCSSSSSSCCSSSSSSCCCCCCCCSSSSSSCCCCSSSSSCCCCCCCCCSSSSSSCCCCHHHCCHHHHHHHHHHHHHHCCCCCSCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHCCCCCSSSSSCCCCCSSSSSSSSSCCCCHHHHHHHHHCCCCSSSSSCCSSSCCCCCHHCHHHHHHSSSSSSCCCCCCCCCHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHSSCCCCCCCCCCSSSHHHHHHCCCCCCCCSSSSSCCCHHHHHHCHCHHHHHHCCCSSSSSCCHHHHHHHHHHHHHCCCCCSSSCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCSSSSSSCCCCCCCCSSCCCCCHHHHHHHHHHHHHHCCCCCCCCCCSSSSCCCCHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHCC
MARELRALLLWGRRLRPLLRAPALAAVPGGKPILCPRRTTAQLGPRRNPAWSLQAGRLFSTQTAEDKEEPLHSIISSTESVQGSTSKHEFQAETKKLLDIVARSLYSEKEVFIRELISNASDALEKLHHKLVSDGQALPEMEIHLQTNAEKGTITIQDTGIGMTQEELVSNLGTIARSGSKAFLDALQNQAEASSKIIGQFGVGFYSAFMVADRVEVYSRSAAPGSLGYQWLSDGSGVFEIAEASGVRTGTKIIIHLKSDCKEFSSEARVRDVVTKYSNFVSFPLYLNGRRMNTLQAIWMMDPKDVREWQHEEFYRYVAQAHDKPRYTLHYKTDAPLNIRSIFYVPDMKPSMFDVSRELGSSVALYSRKVLIQTKATDILPKWLRFIRGVVDSEDIPLNLSRELLQESALIRKLRDVLQQRLIKFFIDQSKKDAEKYAKFFEDYGLFMREGIVTATEQEVKEDIAKLLRYESSALPSGQLTSLSEYASRMRAGTRNIYYLCAPNRHLAEHSPYYEAMKKKDTEVLFCFEQFDELTLLHLREFDKKKLISVETDIVVDHYKEEKFEDRSPAAECLSEKETEELMAWMRNVLGSRVTNVKVTLRLDTHPAMVTVLEMGAARHFLRMQQLAKTQEERAQLLQPTLEINPRHALIKKLNQLRASEPGLAQLLVDQIYENAMIAAGLVDDPRAMVGRLNELLVKALERH
12cg9A 0.36 0.32 0.83 2.91Download -----------------------------------------------------------------------------------ASETFEFQAEITQLMSLIINTVYSNKEIFLRELISNASDALDKIRYKSLSDPKQLPDLFIRITPKPEQKVLEIRDSGIGMTKAELINNLGTIAKSGTKAFMEALSAGAD--VSMIGQFGVGFYSLFLVADRVQVISKSNDDE--QYIWESNAGGSFTVTLDERIGRGTILRLFLKDDQLEYLEEKRIKEVIKRHSEFVAYPIQLEIEELNKTKPLWTRNPSDITQEEYNAFYKSISNDWEDPLYVKHFSVEGQLEFRAILFIPKRAPF---------NNIKLYVRRVFITDEAEDLIPEWLSFVKGVVDSEDLPLNLSREMLQQNKIMKVIRKNIVKKLIEAFNEIAE-DSEQFEKFYSAFSKNIKLGVHEDT--QNRAALAKLLRYNSTKSV-DELTSLTDYVTRMPEHQKNIYYITGESLKAVEKSPFLDALKAKNFEVLFLTDPIDEYAFTQLKEFEGKTLVDITKD------FELEETDEEKAEREKEIKEYEPLTKALKEILGDQVEKVVVSYKLLDAPAAIRTGQFGWSANMERIMKAQ----------AKTFEISPKSPIIKELKKRVDEGGKTVKDLTKLLYETALLTSGFLDEPTSFASRINRLISLGLN--
22o1uA 0.33 0.29 0.79 3.03Download ------------------------------------------------------------------------------------------------MMKLIINSLYKNKEIFLRELISNASDALDKIRLISLTDENALEELTVKIKCDKEKNLLHVTDTGVGMTREELVKNLGT----------------------------VGFYSAFLVADKVIVTSKHNNDT--QHIWESDSNEFSVIADPNTLGRGTTITLVLKEEASDYLELDTIKNLVKKYSQFINFPIYVDWELMNDIKPIWQRPSKEVEDDEYKAFYKSFSKESDDPMAYIHFTAEGEVTFKSILFVPTSAPR----------YIKLYVRRVFITDDFHDMMPKYLNFVKGVVDSDDLPLNVSRETLQQHKLLKVIRKKLVRKTLDMIKKIADE--KYNDTFWKEFGTNIKLGVIE--DHSNRTRLAKLLRFQSSHH-PSDITSLDQYVERMKEKQDKIYFMAGSSRKEAESSPFVERLLKKGYEVIYLTEPVDEYCIQALPEFDGKRFQNVAKEGVKFDES-----EKTKESREAIEKEFEPLLNWMKDALKDKIEKAVVSQRLTESPCALVASQYGWSGNMERIMKAQAYQTGYYASQKKTFEINPRHPLIKDMLRRVKEDDKTVSDLAVVLFETATLRSGYLPDTKAYGDRIERMLRLSLNI-
32cg9A 0.36 0.32 0.83 7.64Download -----------------------------------------------------------------------------------ASETFEFQAEITQLMSLIINTVYSNKEIFLRELISNASDALDKIRYKSLSDPKQLPDLFIRITPKPEQKVLEIRDSGIGMTKAELINNLGTIAKSGTKAFMEALSAGAD--VSMIGQFGVGFYSLFLVADRVQVISKSNDDE--QYIWESNAGGSFTVTLDERIGRGTILRLFLKDDQLEYLEEKRIKEVIKRHSEFVAYPIQLVIEELNKTKPLWTRNPSDITQEEYNAFYKSISNDWEDPLYVKHFSVEGQLEFRAILFIPKRAPFN---------NIKLYVRRVFITDEAEDLIPEWLSFVKGVVDSEDLPLNLSREMLQQNKIMKVIRKNIVKKLIEAFNEIAE-DSEQFEKFYSAFSKNIKLGVHEDTQ--NRAALAKLLRYNSTKS-VDELTSLTDYVTRMPEHQKNIYYITGESLKAVEKSPFLDALKAKNFEVLFLTDPIDEYAFTQLKEFEGKTLVDITK------DFELEETDEEKAEREKEIKEYEPLTKALKEILGDQVEKVVVSYKLLDAPAAIRTGQFGWSANMERIMK----------AQAKTFEISPKSPIIKELKKRVDEGGKTVKDLTKLLYETALLTSGFLDEPTSFASRINRLISLGLN--
42cg9A 0.36 0.32 0.83 5.43Download -----------------------------------------------------------------------------------ASETFEFQAEITQLMSLIINTVYSNKEIFLRELISNASDALDKIRYKSLSDPKQLPDLFIRITPKPEQKVLEIRDSGIGMTKAELINNLGTIAKSGTKAFMEALSAGA--DVSMIGQFGVGFYSLFLVADRVQVISKSNDDE--QYIWESNAGGSFTVTVNERIGRGTILRLFLKDDQLEYLEEKRIKEVIKRHSEFVAYPIQLVVTKLNKTKPLWTRNPSDITQEEYNAFYKSISNDWEDPLYVKHFSVEGQLEFRAILFIPKRAP---------FNNIKLYVRRVFITDEAEDLIPEWLSFVKGVVDSEDLPLNLSREMLQQNKIMKVIRKNIVKKLIEAFNEIA-EDSEQFEKFYSAFSKNIKLGV--HEDTQNRAALAKLLRYNSTK-SVDELTSLTDYVTRMPEHQKNIYYITGESLKAVEKSPFLDALKAKNFEVLFLTDPIDEYAFTQLKEFEGKTLVDITKDFELEETDEEKAE------REKEIKEYEPLTKALKEILGDQVEKVVVSYKLLDAPAAIRTGQFGWSANMERIM----------KAQAKTFEISPKSPIIKELKKRVDAQDKTVKDLTKLLYETALLTSGFLDEPTSFASRINRLISLGLN--
52cg9A 0.36 0.32 0.83 4.55Download -----------------------------------------------------------------------------------ASETFEFQAEITQLMSLIINTVYSNKEIFLRELISNASDALDKIRYKSLSDPKQLPDLFIRITPKPEQKVLEIRDSGIGMTKAELINNLGTIAKSGTKAFMEALSAGAD--VSMIGQFGVGFYSLFLVADRVQVISKSNDDE--QYIWESNAGGSFTVTLDEVIGRGTILRLFLKDDQLEYLEEKRIKEVIKRHSEFVAYPIQLEIEELNKTKPLWTRNPSDITQEEYNAFYKSISNDWEDPLYVKHFSVEGQLEFRAILFIPKRAPF---------NNIKLYVRRVFITDEAEDLIPEWLSFVKGVVDSEDLPLNLSREMLQQNKIMKVIRKNIVKKLIEAFNEIAE-DSEQFEKFYSAFSKNIKLGVHEDT--QNRAALAKLLRYNSTKSV-DELTSLTDYVTRMPEHQKNIYYITGESLKAVEKSPFLDALKAKNFEVLFLTDPIDEYAFTQLKEFEGKTLVDITK------DFELEETDEEKAEREKEIKEYEPLTKALKEILGDQVEKVVVSYKLLDAPAAIRTGQFGWSANMERIMKAQ----------AKTFEISPKSPIIKELKKRVDEQDKTVKDLTKLLYETALLTSGFLDEPTSFASRINRLISLGLN--
62cg9A 0.36 0.32 0.83 2.70Download -------------------------------------------------------------------------------A----SETFEFQAEITQLMSLIINTVYSNKEIFLRELISNASDALDKIRYKSLSDPKQLEDLFIRITPKPEQKVLEIRDSGIGMTKAELINNLGTIAKSGTKAFMEALSAGAD--VSMIGQFGVGFYSLFLVADRVQVISKSNDDEQ--YIWESNAGGSFTVTLNERIGRGTILRLFLKDDQLEYLEEKRIKEVIKRHSEFVAYPIQLEIEELNKTKPLWTRNPSDITQEEYNAFYKSISNDWEDPLYVKHFSVEGQLEFRAILFIPKRAPF---------NNIKLYVRRVFITDEAEDLIPEWLSFVKGVVDSEDLPLNLSREMLQQNKIMKVIRKNIVKKLIEAFNEIAE-DSEQFEKFYSAFSKNIKLGV--HEDTQNRAALAKLLRYNSTK-SVDELTSLTDYVTRMPEHQKNIYYITGESLKAVEKSPFLDALKAKNFEVLFLTDPIDEYAFTQLKEFEGKTLVDITKDFELEETD------EEKAEREKEIKEYEPLTKALKEILGDQVEKVVVSYKLLDAPAAIRTGQFGWSANMERIMK-------------KTFEISPKSPIIKELKKRVDEQDKTVKDLTKLLYETALLTSGFLDEPTSFASRINRLISLGLN--
72o1uA 0.34 0.29 0.7910.69Download ------------------------------------------------------------------------------------------------MMKLIINSLYKNKEIFLRELISNASDALDKIRLISLTDENALAELTVKIKCDKEKNLLHVTDTGVGMTREELVKNLGT----------------------------VGFYSAFLVADKVIVTSKHN--NDTQHIWESDSNEFSVIADPRGLGRGTTITLVLKEEASDYLELDTIKNLVKKYSQFINFPIYVWWELMNDIKPIWQRPSKEVEDDEYKAFYKSFSKESDDPMAYIHFTAEGEVTFKSILFVPTSAPR----------YIKLYVRRVFITDDFHDMMPKYLNFVKGVVDSDDLPLNVSRETLQQHKLLKVIRKKLVRKTLDMIKKIA--DEKYNDTFWKEFGTNIKLGVIE--DHSNRTRLAKLLRFQSSHHPS-DITSLDQYVERMKEKQDKIYFMAGSSRKEAESSPFVERLLKKGYEVIYLTEPVDEYCIQALPEFDGKRFQNVAKEGV-----KFDESEKTKESREAIEKEFEPLLNWMKDALKDKIEKAVVSQRLTESPCALVASQYGWSGNMERIMKAQAYQTGKYASQKKTFEINPRHPLIKDMLRRVKEDEKTVSDLAVVLFETATLRSGLLPDTKAYGDRIERMLRLSLNI-
82o1uA 0.33 0.29 0.79 2.76Download ------------------------------------------------------------------------------------------------MMKLIINSLYKNKEIFLRELISNASDALDKIRLISLTDENALAELTVKIKCDKEKNLLHVTDTGVGMTREELVKNLGT----------------------------VGFYSAFLVADKVIVTSKHNNDTQ--HIWESDSNEFSVIADPNTLGRGTTITLVLKEEASDYLELDTIKNLVKKYSQFINFPIYVDWELMNDIKPIWQRPSKEVEDDEYKAFYKSFSKESDDPMAYIHFTAEGEVTFKSILFVPTSAPR----------YIKLYVRRVFITDDFHDMMPKYLNFVKGVVDSDDLPLNVSRETLQQHKLLKVIRKKLVRKTLDMIKKIADEKY--NDTFWKEFGTNIKLGV--IEDHSNRTRLAKLLRFQSSH-HPSDITSLDQYVERMKEKQDKIYFMAGSSRKEAESSPFVERLLKKGYEVIYLTEPVDEYCIQALPEFDGKRFQNVAKEGVKF-----DESEKTKESREAIEKEFEPLLNWMKDALKDKIEKAVVSQRLTESPCALVASQYGWSGNMERIMKAQAYQTNYYASQKKTFEINPRHPLIKDMLRREDEDDKTVSDLAVVLFETATLRSGYLPDTKAYGDRIERMLRLSL---
92cg9A 0.36 0.32 0.83 7.11Download -----------------------------------------------------------------------------------ASETFEFQAEITQLMSLIINTVYSNKEIFLRELISNASDALDKIRYKSLSDPKQLPDLFIRITPKPEQKVLEIRDSGIGMTKAELINNLGTIAKSGTKAFMEALSAGA--DVSMIGQFGVGFYSLFLVADRVQVISKSNDD--EQYIWESNAGGSFTVTLDERIGRGTILRLFLKDDQLEYLEEKRIKEVIKRHSEFVAYPIQLVIEELNKTKPLWTRNPSDITQEEYNAFYKSISNDWEDPLYVKHFSVEGQLEFRAILFIPKRAPFN---------NIKLYVRRVFITDEAEDLIPEWLSFVKGVVDSEDLPLNLSREMLQQNKIMKVIRKNIVKKLIEAFNEIAE-DSEQFEKFYSAFSKNIKLGVHEDT--QNRAALAKLLRYNSTKS-VDELTSLTDYVTRMPEHQKNIYYITGESLKAVEKSPFLDALKAKNFEVLFLTDPIDEYAFTQLKEFEGKTLVDITKD------FELEETDEEKAEREKEIKEYEPLTKALKEILGDQVEKVVVSYKLLDAPAAIRTGQFGWSANMERIMK----------AQAKTFEISPKSPIIKELKKRVDEGGATVKDLTKLLYETALLTSGFLDEPTSFASRINRLISLGLN--
102o1uA 0.33 0.29 0.79 2.75Download ------------------------------------------------------------------------------------------------MMKLIINSLYKNKEIFLRELISNASDALDKIRLISLTDENALAELTVKIKCDKEKNLLHVTDTGVGMTREELVKNLGTV----------------------------GFYSAFLVADKVIVTSKHNNDT--QHIWESDSNEFSVIARGNTLGRGTTITLVLKEEASDYLELDTIKNLVKKYSQFINFPIYVWWELMNDIKPIWQRPSKEVEDDEYKAFYKSFSKESDDPMAYIHFTAEGEVTFKSILFVPTSAP----------RYIKLYVRRVFITDDFHDMMPKYLNFVKGVVDSDDLPLNVSRETLQQHKLLKVIRKKLVRKTLDMIKKIA--DEKYNDTFWKEFGTNIKLGVIED--HSNRTRLAKLLRFQSSHH-PSDITSLDQYVERMKEKQDKIYFMAGSSRKEAESSPFVERLLKKGYEVIYLTEPVDEYCIQALPEFDGKRFQNVAKEGVKF-----DESEKTKESREAIEKEFEPLLNWMKDKLKDKIEKAVVSQRLTESPCALVASQYGWSGNMERIMKAQAYQTNYYASQKKTFEINPRHPLIKDMLRRVKEDEKTVSDLAVVLFETATLRSGYLPDTKAYGDRIERMLRLSLNI-
(a)All the residues are colored in black; however, those residues in template which are identical to the residue in the query sequence are highlighted in color. Coloring scheme is based on the property of amino acids, where polar are brightly coloured while non-polar residues are colored in dark shade. (more about the colors used)
(b)Rank of templates represents the top ten threading templates used by I-TASSER.
(c)Ident1 is the percentage sequence identity of the templates in the threading aligned region with the query sequence.
(d)Ident2 is the percentage sequence identity of the whole template chains with query sequence.
(e)Cov. represents the coverage of the threading alignment and is equal to the number of aligned residues divided by the length of query protein.
(f)Norm. Z-score is the normalized Z-score of the threading alignments. Alignment with a Normalized Z-score >1 mean a good alignment and vice versa.
(g)Download Align. provides the 3D structure of the aligned regions of the threading templates.
(h)The top 10 alignments reported above (in order of their ranking) are from the following threading programs:
       1: MUSTER   2: HHSEARCH   3: SP3   4: PROSPECT2   5: PPA-I   6: HHSEARCH I   7: FUGUE   8: HHSEARCH II   9: SPARKS   10: MUSTER   

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

RankTM-scoreRMSDaIDENaCov.PDB
Hit
10.8266 0.77 0.36 0.832cg9A
Model1
 
20.5713 4.13 0.20 0.652o1uA
Model1
 
30.3928 3.85 0.12 0.451ei1A
Model1
 
40.3881 3.87 0.12 0.451s16A
Model1
 
50.3840 4.38 0.21 0.441y4sA
Model1
 
60.3754 4.57 0.13 0.451kijA
Model1
 
70.3719 4.91 0.09 0.452q2eB
Model1
 
80.3663 4.54 0.13 0.441mu5A
Model1
 
90.3583 4.27 0.12 0.421pvgA
Model1
 
100.3567 4.34 0.14 0.421b63A
Model1
 
Structural alignment using TM-align
 
-----------------------------------------------------------------------------------ASETFEFQAEITQLMSLIINTVYSNKEIFLRELISNASDALDKIRYKSLSDPKQLETEPDLFIRITPKPEQKVLEIRDSGIGMTKAELINNLGTIAKSGTKAFMEALSAGA--DVSMIGQFGVGFYSLFLVADRVQVISKSNDDE--QYIWESNAGGSFTVTLDEVNERIGRGTILRLFLKDDQLEYLEEKRIKEVIKRHSEFVAYPIQLVVTKEVEKEEEVQEIEELNKTKPLWTRNPSDITQEEYNAFYKSISNDWEDPLYVKHFSVEGQLEFRAILFIPKRAPF---------NNIKLYVRRVFITDEAEDLIPEWLSFVKGVVDSEDLPLNLSREMLQQNKIMKVIRKNIVKKLIEAFNEIAE-DSEQFEKFYSAFSKNIKLGVHED-T-QNRAALAKLLRYNSTKSV-DELTSLTDYVTRMPEHQKNIYYITGESLKAVEKSPFLDALKAKNFEVLFLTDPIDEYAFTQLKEFEGKTLVDITKDFELEE------TDEEKAEREKEIKEYEPLTKALKEILGDQVEKVVVSYKLLDAPAAIRTGQFGWSANMERIMKAQA----------KTFEISPKSPIIKELKKRVDEGGAQDKTVKDLTKLLYETALLTSGFSLDEPTSFASRINRLISLGLN-- 
MARELRALLLWGRRLRPLLRAPALAAVPGGKPILCPRRTTAQLGPRRNPAWSLQAGRLFSTQTAEDKEEPLHSIISSTESVQGSTSKHEFQAETKKLLDIVARSLYSEKEVFIRELISNASDALEKLHHKLVSDGQAL---PEMEIHLQTNAEKGTITIQDTGIGMTQEELVSNLGTIARSGSKAFLDALQNQAEASSKIIGQFGVGFYSAFMVADRVEVYSRSAAPGSLGYQWLSDGSGVFEIAEA--S-GVRTGTKIIIHLKSDCKEFSSEARVRDVVTKYSNFVSFPLYLN-------------GRRMNTLQAIWMMDPKDVREWQHEEFYRYVAQAHDKPRYTLHYKTDAPLNIRSIFYVPDMKPSMFDVSRELGSSVALYSRKVLIQTKATDILPKWLRFIRGVVDSEDIPLNLSRELLQESALIRKLRDVLQQRLIKFFIDQSKKDAEKYAKFFEDYGLFMREGIVTATEQEVKEDIAKLLRYESSALPSGQLTSLSEYASRMRAGTRNIYYLCAPNRHLAEHSPYYEAMKKKDTEVLFCFEQFDELTLLHLREFDKKKLISVETDIVVDHYKEEKFEDRSPAAECLSEKETEELMAWMRNVLGSRVTNVKVTLRLDTHPAMVTVLEMGAARHFLRMQQLAKTQEERAQLLQPTLEINPRHALIKKLNQLRASE---PGLAQLLVDQIYENAMIAAGLV-DDPRAMVGRLNELLVKALERH 
 
MMKLIINSLYKNKEIFLRELISNASD-----------------------------------------------------------------------------------------------------------ALDKIRLISLTDENALAG-NEEL----------------TVKIKCDKEKNLL----HVTDTGVGMTREELVKNLGTVGFYSAFLVADKVIVTS------------------------------------------------KHNNDTQHIWESDSNEFSVIADPRG-------------------------------------NTLGRG------TTITLVLKEEASDYLELDTIKNLVKK-------YSQFINFPIYVWSSKVWDWELMNDIKPIWQRPSKEVEDDEYKAFYKSFSKESDDPMAYIHFTAEGEVTFKSILFVPTSAP-R---------YIKLYVRRVFITDDFHDMMPKYLNFVKGVVDSDDLPLNVSRETLQQHKLLKVIRKKLVRKTLDMIKKI--ADEKYNDTFWKEFGTNIKLGVIED-H-SNRTRLAKLLRFQSS-HHPSDITSLDQYVERMKEKQDKIYFMAGSSRKEAESSPFVERLLKKGYEVIYLTEPVDEYCIQALPEFDGKRFQNVAKEGVK---FDESEKTKESREAIEKEFEPLLNWMKD--KALKDKIEKAVVSQRLTESPCALVASQYGWSGNMERIMKAQAYQTGKDISTNYYASQKKTFEINPRHPLIKDMLRRVKEDEDDKTVSDLAVVLFETATLRSGYLLPDTKAYGDRIERMLRLSLNI
--------------------------MARELRALLLWGRRLRPLLRAPALAAVPGGKPILCPRRTTAQLGPRRNPAWSLQAGRLFSTQTAEDKEEPLHSIISSTESVQGSTSKHEFQAETKKLLDIVARSLYSEKEVFIRELI----SNA-SDALEKLHHKLVSDGQALPEMEIHLQTN------AEKGTITIQD-------------------------------TGIGMTQEELVSNLGTIARSGSKAFLDALQNQAEASSKIIGQFGVGFYSAFMVADR-----------------VEVYSRSAAPGSLGYQWLSDGSGVFEIAEASGVRTGTKIIIHLKSDCKEFSSEA---------------------RVRDVVTKYSNFVSFPLYLN-----GRRMNTLQAIWMMDPKDVREWQHEEFYRYVAQAHDKPRYTLHYKTDAPLNIRSIFYVPDMKPSMFDVSRELGSSVALYSRKVLIQTKATDILPKWLRFIRGVVDSEDIPLNLSRELLQESALIRKLRDVLQQRLIKFFIDQSKKDAEKYAKFFEDYGLFMREGIVTATEQEVKEDIAKLLRYESSALPSGQLTSLSEYASRMRAGTRNIYYLCAPNRHLAEHSPYYEAMKKKDTEVLFCFEQFDELTLLHLREFDKKKLIS-VETDIVVDHYKEEKFEDRSPAAECLSEKETEELMAWMRNVLGSRVTNVKVTLRLDTHPAMVTVLEMGAARHFLRMQQLAK---T--Q-EERAQLLQPTLEINPRHALIKKLNQLR-AS-EPGLAQLLVDQIYENAMIAAGLVDD-PRAMVGRLNELLVKALER
 
SNSSDSSSIK------------------------------------------------------------------------------------------VLKGLDAVRKRPGMYIGDTDDGTGLHHMVFEVVDNAIDEALAGH-----------CKEIIVTIHA-DNSVSVQDDGRGIPTGIHPEEGVSAAEVIMTVLHAGGKF-DDNS------Y-KVSGGLHGVGVSVVNALSQKLELVIQREG--KIHRQIYEHGV-PQAPLAVTGETEKTGTMVRFWPSLETFTNVTEF-EYEILAKRLRELSFLDSGVSIRLRDKRDGKEDHFHYEGGI------------K-AFVEYLNKNKTPIHPNIFYFSTEKDGIGVEVALQWN-D-G--F------QENIYCFTNNIPQRDGGTHLAGFRAAMTRTLNAYMDKEGYSKKAKVSATGDDAREGLIAVVSVKVPDPKFSSQTKDKLVSSEVKSAVEQQMNELLAEYLLEN--PT--DAKIVVGKIIDA-AR------------------------------------------------------------------------------AREAA-R-----------------------------------------------------------------------------------------R--AREMT-------------------------------------------------------------------------- 
----------MARELRALLLWGRRLRPLLRAPALAAVPGGKPILCPRRTTAQLGPRRNPAWSLQAGRLFSTQTAEDKEEPLHSIISSTESVQGSTSKHEFQAETKKLLDIVARS-LYS----EK-EVFIRELISNASDALEKLHHKLVSDGQALPEMEIHLQTNAEKGTITIQDTGIG-MTQ-------EELVSNLGTIARSGSKAFLDALQNQAEASSKIIGQFGVGFYSAFMVADRVEVYSRSAAPGSLGYQWLSDGSGVFEIAEASGVR--TGTKIIIHLKS----DCKEFSSEARVRDVVTKYSNFV-SFPLYLN------GRRMNTLQAIWMMDPKDVREWQHEEFYRYVAQAHDKPR-YTLHYKTDAP-LNIRSIFYVPDMKPSMFDVSRELGSSVALYSRKVLIQTKA--TD-IL-------------------------PKWLRF-IRGVVDSED-IPLNL-S-RELLQESALIRKLRDVLQQRLIKFFIDQSKKDAEKYAKFFEDYGLFMREGIVTATEQEVKEDIAKLLRYESSALPSGQLTSLSEYASRMRAGTRNIYYLCAPNRHLAEHSPYYEAMKKKDTEVLFCFEQFD-ELTLLHLREFDKKKLISVETDIVVDHYKEEKFEDRSPAAECLSEKETEELMAWMRNVLGSRVTNVKVTLRLDTHPAMVTVLEMGAARHFLRMQQLAKT-QEERAQLLQPTLEINPRHALIKKLNQLRASEPGLAQLLVDQIYENAMIAAGLVDDPRAMVGRLNELLVKALERH 
 
TYNADAIE------------------------------------------------------------------------------------------VLTGLEPVRRRPGMYTDTTRPNHLGQEVIDNSVDEALAGH-----------AKRVDVILHA-DQSLEVIDDGRGMPVDIHPEEGVPAVELILCRLHAGGKF-SNKN------Y-QFSGGLHGVGISVVNALSKRVEVNVRRDG--QVYNIAFENGE-KVQDLQVVGTCGKRNTGTSVHFWPDETFFDSPRF-SVSRLTHVLKAKAVLCPGVEITFKDEINNTEQRWCYQDGL------------N-DYLAE-AVNGLPTLPEKPFIGNFAGDT-EAVDWALLW-LPEGG------ELLT-ESYVNLIPTMQGGTHVNGLRQGLLDAMREFCEYRNILPRGVKLSAEDIWDRCAYVLSVKMQDPQFAGQTKERLSSRQCAAFVSGVVKDAFILWLNQNV--Q--AA--EL-LAEMAISSA-------------------------------------------------------------------------------QRRM------------------------------------------------------------------------------------------R--AA--------------------------------------------------------------------------- 
--------MARELRALLLWGRRLRPLLRAPALAAVPGGKPILCPRRTTAQLGPRRNPAWSLQAGRLFSTQTAEDKEEPLHSIISSTESVQGSTSKHEFQAETKKLLDIVARS-LYSEK-EVFIRELISNASDALEKLHHKLVSDGQALPEMEIHLQTNAEKGTITIQDTGIG-MTQ-------EELVSNLGTIARSGSKAFLDALQNQAEASSKIIGQFGVGFYSAFMVADRVEVYSRSAAPGSLGYQWLSDGSGVFEIAEASGVR----TGTKIIIHLKS--D-CKEFSSEARVRDVVTKYSNFVS-FPLYLN------GRRMNTLQAIWMMDPKDVREWQHEEFYRYVAQAHD-K-PR-YTLHYKTDAPLNIRSIFYVPDMKPSMFDVSRELGSSVALYSRKVLIQTKA--TDI-L------------------------PKWLR-FIRGVVDSED-IPLNL-S-RELLQESALIRKLRDVLQQRLIKFFIDQSKKDAEKYAKFFEDYGLFMREGIVTATEQEVKEDIAKLLRYESSALPSGQLTSLSEYASRMRAGTRNIYYLCAPNRHLAEHSPYYEAMKKKDTEVLFCFEQFDELTLLHLREFDKKKLISVETDIVVDHYKEEKFEDRSPAAECLSEKETEELMAWMRNVLGSRVTNVKVTLRLDTHPAMVTVLEMGAARHFLRMQQLAKTQEERAQLLQPTLEINPRHALIKKLNQLRASEPGLAQLLVDQIYENAMIAAGLVDDPRAMVGRLNELLVKALERH 
 
MKGQETRGFQSEVKQLLHLMIHSLYSNKEIFLRELISNASDAAD-----------------------------------------------------------------------------------------------------------KLRFRALSNPDLYEGDG-----------------ELRVRVSFDKDKRTLTIS---------DNGVGMTRDEVIDHLGTIAKSGTKSFLESSQLIGQFGVGFYSAFIVADKVTVRTRA------------------------------------------------------------------------------------------------AGEKPENGVFWESAGEGEYTVADITKEDRGTEITLHLREGEDEFLDDWRVRSIISKYSD------HIALPVEIEKREEKDGETVISWEKINKAQALWTRNKSEITDEEYKEFYKHIAHDFNDPLTWSHNRVEGKQEYTSLLYIPSQAPWDMW-NRDHKHGLKLYVQRVFIMDDAEQFMPNYLRFVRGLIDS-SDLPLNVSREILQDSTVTRNLRNALTKRVLQMLEKLAKDDAEKYQTFWQQFGLVLKEGPAED-F-ANQEAIAKLLRFASTHTDSSAQTVSLEDYVSRMKEGQEKIYYITADSYAAAKSSPHLELLRKKGIEVLLLSDRIDEWMMNYLTEFDGKPFQSV---------------------------------------------------------------------------------------------------------------------------------------------------------- 
--------------------------------------------MARELRALLLWGRRLRPLLRAPALAAVPGGKPILCPRRTTAQLGPRRNPAWSLQAGRLFSTQTAEDKEEPLHSIISSTESVQGSTSKHEFQAETKKLLDIVARSLYSEKEVFIRELISNASDALEKLHHKLVSDGQALPEMEIHLQ-------------TNAEKGTITIQD-----------------------------------------------------TGIGMTQEELVSNLGTIARSGSKAFLDALQNQAEASSKIIGQFGVGFYSAFMVADRVEVYSRSAAPGSLGYQWLSDGSGVFEIAEASGVRTGTKIIIHLKSDCKE--------------FSSEARVRD---------------------------VVTKYSNFVSFPLYL----------N-GRRMNTLQAIWMMDPKDVREWQHEEFYRYVAQAHDKPRYTLHYKTDAPLNIRSIFYVPDMKPSMFDVSRELGSSVALYSRKVLIQTKATDILPKWLRFIRGVVDSEDIPLNLSRELLQ-ESALIRKLRDVLQQRLIKFFIDQSKKDAEKYAKFFEDYGLFMREGIVTATEQEVKEDIAKLLRYESSALPS-GQLTSLSEYASRMRAGTRNIYYLCAPNRHLAEHSPYYEAMKKKDTEVLFCFEQFDELTLLHLREFDKKKLISVETDIVVDHYKEEKFEDRSPAAECLSEKETEELMAWMRNVLGSRVTNVKVTLRLDTHPAMVTVLEMGAARHFLRMQQLAKTQEERAQLLQPTLEINPRHALIKKLNQLRASEPGLAQLLVDQIYENAMIAAGLVDDPRAMVGRLNELLVKALERH 
 
AIR------------------------------------------------------------------------------------------VLKGLEGVRHRPAMYIGGTGVEGYHHLFKEILDNAVDEALAGY-----------ATEILVRLNE-DGSLTVEDNGRGIPVDLMPEEGKPAVEVIYNTLHSG-GKFEQ-G--------AYKVSGGLHGVGASVVNALSEWTVVEVFREG--KHHRIAFSRG--EVTEPLRVVGEAPRGKTGTRVTFKPDPEIFGNLR-F-DPSKIRARLREVAYLVAGLKLVFQDRQHGKEEVFL-DKGGV-----------A-SFAKALAEGEDLLYEKPFLIRGTHGEVEVEVGFLHTQGY---N------AEILTYAN--MIPTRDGGTHLTAFKSAYSRALNQYAKKAGLNKEKGPQPTGDDLLEGLYAVVSVKLPNPQFEGQTKGKLLNPEAGTAVGQVVYERLLEILEENPR-IAKAVYE-KALRA-A------------------------------------------------------------------------------QAREAAR-----------------------------------------------------------------------------------------KARELV--------------------------------------------------------------------------- 
---MARELRALLLWGRRLRPLLRAPALAAVPGGKPILCPRRTTAQLGPRRNPAWSLQAGRLFSTQTAEDKEEPLHSIISSTESVQGSTSKHEFQAETKKLLDIVARS-LYS---EK-EVFIRELISNASDALEKLHHKLVSDGQALPEMEIHLQTNAEKGTITIQDTGIG-MT-------QEELVSNLGTIARSGSKAFLDALQNQAEASSKIIG-Q-FGVGFYSAFMVADRVEVYSRSAAPGSLGYQWLSDGSGVFE-IAEASGVR----TGTKIIIHL-K---SDCKEFSSEARVRDVVTKYSNFV-SFPLYLN------GRRMNTLQAIWMMDPKDVREWQHEEFYRYVAQAHDKPR--YTLHYKTDAPLNIRSIFYVPDMKPSMFDVSRELGSSVALYSRKVLIQTKAT--DI--L-------------------------PKWLRF-IRGVVDSEDI-PLNLSRELLQESALIRKLRDVLQQRLIKFFIDQSKKDAEKYAKFFEDYGLFMREGIVTATEQEVKEDIAKLLRYESSALPSGQLTSLSEYASRMRAGTRNIYYLCAPNRHLAEHSPYYEAMKKKDTEVLFCFEQFDELTLLHLREFDKKKLISVETDIVVDHYKEEKFEDRSPAAECLSEKETEELMAWMRNVLGSRVTNVKVTLRLDTHPAMVTVLEMGAARHFLRMQQLAKTQEERAQLLQPTLEINPRHALIKKLNQLRASEPGLAQLLVDQIYENAMIAAGLVDDPRAMVGRLNELLVKALERH 
 
KK---------------------------------------------------------------------------------------QKSISVAEFFEKNRQILGFDSAPRSLITTVKEAVDNALDACEEAGI----------LPDILVQVERTGPDYVTVIIEDNGPGIVREQIPKVFAKLLYG--F--HA------L--K-SRGQQGIGISAAVLYAQMTAGRHTKILSKTSPTAPAHYYELMINTSTNEPDILVDEVRDWFRPHGTQIELEMR-AAYVKGRR-QSIYEYLKATAIVNPHARITLIDPDGNEEVFERATDKMPEPAEEILPHPEGIELGTLMKMLHYTEPFLRYSFCKLLTAEEICKAAGLDPEIDPHALGRHEARKLIEAFEKVKIMAPPTDCLSPIGED-LI---YR-GLEKET-TV--DF--IATSTRKPAVYSGNPFVVEVGMAYGGNLPKEE-----KISI-MRFANRVPLLYQQGGCVTTHAVEDIKWKQYGLNQPGGGIPVGPVILLIHVASINVPFTSESKDAIADIPVIKEEIDLAIKEVARKLKHYL--S-KQSNLKKRREKEIIITKVLPKLAAKVAHVLEKDVPDINPVV--------------------------------AKIMGNLLVHRVIKNNGDGTVDVAIKVK--------NAYSFRVHEMLPCKVKPEPKVVTMGNDYDYVWDISASA---------------------------------GSSKVLSYKIESASEEELQKLPQLIVTGAK------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 
M-ARELRALLLWGRRLRPLLRAPALAAVPGGKPILCPRRTTAQLGPRRNPAWSLQAGRLFSTQTAEDKEEPLHSIISSTESVQGSTSKHEFQAETKKLLDIVARS--LYS--EK-EVFIRELISNASDALEKLHHKLVSDGQALPEMEIHLQTNAEK---GTITIQDTGIGMTQEELVSNLGTIARSGSKAFLDALQNQAEASSKIIGQFGVGFYSA-FMV--ADR-VEVYSRSAA--PGSLGYQWLSDGSGV-FEI-AEASG--V-RTGTKIIIHLKSDCKEFSS-EARVRDVVTKYSNFV-SFPLYLN----GRRMNTLQA-I-------------------------------------------------------------------------------------WMMDPKDVREWQHEEFYRYVAQAHDKPRYTLHYKTDAP------LNIRSIFYVPDMKPSMFDVSRELGSSVALYSRKVLIQ--T----KATDIL-PKWL-----------RF--IRGVVDSEDI-PLN--LSRELLQESALIRKLRDVLQQRLIKFFIDQSKKDAEKYAKFFE---------------------------------DYGLFMREGIVTATEQEVKEDIAKLLRYESSALPSGQ-----------------------LTSLSEYASR------------------------------------MRAGTRNIYYLCAPNRHLAEHSPYYEAMKKKDTE-----------------------------VLFCFEQFDELTLLHLREFDKKKLISVETDIVVDHYKEEKFEDRSPAAECLSEKETEELMAWMRNVLGSRVTNVKVTLRLDTHPAMVTVLEMGAARHFLRMQQLAKTQEERAQLLQPTLEINPRHALIKKLNQLRASEPGLAQLLVDQIYENAMIAAGLVDDPRAMVGRLNELLVKALERH 
 
-------------------------------------------------------------------------------------------LSPAEFFKRNPELAGFPNPARALYQTVRELIENSLDATDV-HG-I--------LPNIKITIDLIDDARQIYKVNVVDNGIGIPPQEVPNAFGRVLYSK-YV--N-------R--Q-TRGMYGLGVKAAVLYSQMHQDKPIEIETSPVNSKRIYTFKLKIDINKNEPIIVERGSVENTRGFHGTSVAISIP-GDWPKAK-SRIYEYIKRTYIITPYAEFIFKDPEGNVTYYPRLTNKIPKPPQEVKPHPYGVDREEIKILINNLKRDYTIKEFLVNEFQSIGDTTADKILELAGLKPNKKVKNLTEEEITRLVETFKKYEDFRSPSADSLSVIGED-LI---EL-GLKKIF--N--PD-FAASITRKPKAYQGHPFIVEAGVAFGGSIPVGE------EPIVLRYANKIPLIYDEKSDVIWKVVEELDWKRYGIESDQYQMVVMVHLCSTKIPYKSAGKESIAEVEDIEKEIKNALMEVARKLKQYLSEKRKEQEAKK--------------------------------------KLLA--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 
MARELRALLLWGRRLRPLLRAPALAAVPGGKPILCPRRTTAQLGPRRNPAWSLQAGRLFSTQTAEDKEEPLHSIISSTESVQGSTSKHEFQAETKKLLDIVARS--LYS--EK-EVFIRELISNASDALEKLHHKLVSDGQALPEMEIHLQTNAEK-----GTITIQDTGIGMTQEELVSN-LGTIARSGSKAFLDALQNQAEASSKIIGQFGVGFYSA-FMV--AD-RVEVYSRSA--APGSLGYQWLSDGSG-VFEI-AEASGVR----TGTKIIIHLKSDCKEFSSEARVRDVVTKYSNFV-SFPLYLN-----GRRMNTLQ-AI---------------------------------------------------------------------------------------------WMMDPKDVREWQHEEFYRYVAQAHDKPRYTLHYKTDAP------LNIRSIFYVPDMKPSMFDVSRELGSSVALYSRKVLIQ--T----KATDILPKWL----R----F-IRGVVDSEDIPLNL--S-RELLQESA-LIRKLRDVLQQRLIKFFIDQSKKDAEKYAK-FFEDYGLFMREGIVTATEQEVKEDIAKLLRYESSALPSGQ--LTSLSEYASRMRAGTRNIYYLCAPNRHLAEHSPYYEAMKKKDTEVLFCFEQFDELTLLHLREFDKKKLISVETDIVVDHYKEEKFEDRSPAAECLSEKETEELMAWMRNVLGSRVTNVKVTLRLDTHPAMVTVLEMGAARHFLRMQQLAKTQEERAQLLQPTLEINPRHALIKKLNQLRASEPGLAQLLVDQIYENAMIAAGLVDDPRAMVGRLNELLVKALERH 
 
SASDKYQ------------------------------------------------------------------------------------------KISQLEHILKRPDTYIGSVETQEQLQWIYDEETDCIEKNVTIVPGLFKIFDEILVNAADNKVRDP--S---------KRIDVNIHAEEHTIEVKNDGKGIPIEIHNKENIYIPEIFGHLL-TSSNY-DDD-E----K--KVTGGRNGYGAKLCNIFSTEFILETADLNVGQKYVQKWENNS-ICHPPKITSYKKGPSYTKVTFKPDLTRFGKELDNDI-LGVRRRVYDINGSVRDINVYLNGKSLKIRNFK--------------NYVELYLKSLIPTILYERIN-----NRWEVAFAV--S--DI---S--FQQ-ISFVNSIATTGGTHVNYITDQIVKKISEILKKVKSFQIKNNFIFINCLIENPAFTSQTKEQLTT-RVK-DFGS--RC-EIP-LEYINKI-----K--TDLATRFEI-A-------------------------------------------------------------------------------D-A----------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 
-------MARELRALLLWGRRLRPLLRAPALAAVPGGKPILCPRRTTAQLGPRRNPAWSLQAGRLFSTQTAEDKEEPLHSIISSTESVQGSTSKHEFQAETKKLLDIVARS-LYS-------------------------EK-EVFIRELISNASDALEKLHHKLVSDGQALPEMEIHLQTNAEKGTITIQDTGIGM-TQ-------EELVSNLGTIARSGSKAFLDALQNQAEASSKIIGQFGVGFYSAFMVADRVEVYSRSAAPGSLGYQWLSDGSGVFEIAEAS-G--VRTGTKIIIHLKS----DCKEFSSEARVRDVVTKYSNFVS-FPLYLNGRRMNTLQAIWMMDPKDVREWQHEEFYRYVAQAHDKPRYTLHYKTDAPLNIRSIFYVPDMKPSMFDVSRELGSSVALYSRKVLIQTKA-TD--IL--------------PKWL-RFIRGVVDSEDIPLN-LS-RELLQESALIRKL--RDVLQQRLIKFFIDQSKKDAEKYAKFFEDYGLFMREGIVTATEQEVKEDIAKLLRYESSALPSGQLTSLSEYASRMRAGTRNIYYLCAPNRHLAEHSPYYEAMKKKDTEVLFCFEQFDELTLLHLREFDKKKLISVETDIVVDHYKEEKFEDRSPAAECLSEKETEELMAWMRNVLGSRVTNVKVTLRLDTHPAMVTVLEMGAARHFLRMQQLAKTQEERAQLLQPTLEINPRHALIKKLNQLRASEPGLAQLLVDQIYENAMIAAGLVDDPRAMVGRLNELLVKALERH 
 
SHMPIQ------------------------------------------------------------------------------------------VLPPQLANQIAAGEVVERPASVVKELVENSLDAGA---------------TRIDIDIERGGAKLIRIRDNGCGIKKDELALALARH-ATSKIASLDDLE-----AI--I-SLGFRGEALASISS-VSRLTLTSRTAEQQEA-WQAYAEGRDMNVTVKPAAHPVGTTLEVLDLFYNTPARRKFLRTEKTEFNHIDEIIRRIALARFDVTINLSHNGKIVRQYR-AVP--EG---GQ---KERRLGAICGTAFLEQALAIEWQHGD--LTLRGWVADPNHTTPA-----LAEIQYCYVNGRMMRDRLINHAIRQACEDKLGADQQPAFVLYLEIDPHQVDVNVHPAKHEVRF-HQSRLVHDFIYQGVLSVL--Q----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 
------MARELRALLLWGRRLRPLLRAPALAAVPGGKPILCPRRTTAQLGPRRNPAWSLQAGRLFSTQTAEDKEEPLHSIISSTESVQGSTSKHEFQAETKKLLDIVARSLYSEKEVFIRELISNASDALEKLHHKLVSDGQALPEMEIHLQTNA-EKGTITIQDTGIGMTQEELVSNLGTIARSGSKAFLDA--LQNQAE-ASSKIIGQFGVGFYSAFMVADRVEVYSRSAAPGSLGYQWLSDGSGVFEIAEASGVRTGTKIIIHLK-S-----D--C-KEFSSEARVRDVVTKYSNFV-SFPLYLN----G-RRMNTLQAIWMMDPKDVREWQHEEFYRYVAQAHDKPRYTLHYKTDAPLNIRSIFYVPDMKPSMFDVSRELGSSVALYSRKVLIQTK--ATDILP-KWL-----R-FIRGVVDSEDI--P-L-NLS-RELLQESALIRKLRDVLQQRLIKFFIDQSKKDAEKYAKFFEDYGLFMREGIVTATEQEVKEDIAKLLRYESSALPSGQLTSLSEYASRMRAGTRNIYYLCAPNRHLAEHSPYYEAMKKKDTEVLFCFEQFDELTLLHLREFDKKKLISVETDIVVDHYKEEKFEDRSPAAECLSEKETEELMAWMRNVLGSRVTNVKVTLRLDTHPAMVTVLEMGAARHFLRMQQLAKTQEERAQLLQPTLEINPRHALIKKLNQLRASEPGLAQLLVDQIYENAMIAAGLVDDPRAMVGRLNELLVKALERH 
 
(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.
10.3928 3.85 0.12 0.450.41101ei1A 5.99.1.3
 
20.3671 4.55 0.13 0.440.40032hkjA 5.99.1.3
 
30.3653 4.21 0.11 0.430.36481q1dB 5.99.1.3
 
40.3583 4.49 0.11 0.430.35731zxnD 5.99.1.3
 
50.3719 4.91 0.09 0.450.33982q2eB 5.99.1.3
 
(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
10.3320 1.67 0.28 0.341y6zB 0.56 GO:0005524 GO:0030554 GO:0051082 GO:0006457 GO:0006950 GO:0009987 GO:0034960 GO:0043283 GO:0044237
20.3851 4.19 0.19 0.432o1wB 0.52 GO:0005509 GO:0005524 GO:0030554 GO:0043169 GO:0051082 GO:0006457 GO:0009987 GO:0034960 GO:0043283 GO:0044237 GO:0005622 GO:0005623 GO:0005788 GO:0016528 GO:0016529 GO:0031410 GO:0031974 GO:0042470 GO:0043229 GO:0044444 GO:0044446
30.2469 1.91 0.38 0.262o1wB 0.49 GO:0005509 GO:0005524 GO:0030554 GO:0043169 GO:0051082 GO:0006457 GO:0009987 GO:0034960 GO:0043283 GO:0044237 GO:0005622 GO:0005623 GO:0005788 GO:0016528 GO:0016529 GO:0031410 GO:0031974 GO:0042470 GO:0043229 GO:0044444 GO:0044446
40.2421 2.03 0.37 0.252vwcA 0.47 GO:0005524 GO:0030554 GO:0042623 GO:0051082 GO:0009987 GO:0010926 GO:0044237 GO:0050789 GO:0050896 GO:0065007 GO:0005622 GO:0005623 GO:0005737
50.2419 2.03 0.36 0.251uymA 0.46 GO:0005524 GO:0030235 GO:0030554 GO:0030911 GO:0051082 GO:0001890 GO:0006457 GO:0006809 GO:0006986 GO:0009058 GO:0009607 GO:0009653 GO:0009887 GO:0009891 GO:0009893 GO:0009987 GO:0031325 GO:0031328 GO:0034960 GO:0043283 GO:0044249 GO:0044271 GO:0045429 GO:0048518 GO:0048522 GO:0048856 GO:0051173 GO:0051789 GO:0065007 GO:0005622 GO:0005623 GO:0005737 GO:0005739 GO:0031410 GO:0042470 GO:0043229 GO:0044444
60.2424 1.98 0.36 0.253d0bA 0.46 GO:0005524 GO:0030235 GO:0030554 GO:0030911 GO:0042802 GO:0042803 GO:0051082 GO:0006809 GO:0006839 GO:0006986 GO:0007154 GO:0007165 GO:0009058 GO:0009607 GO:0009891 GO:0009893 GO:0010926 GO:0016044 GO:0022607 GO:0031325 GO:0031328 GO:0034619 GO:0034621 GO:0034622 GO:0034960 GO:0042026 GO:0043283 GO:0043623 GO:0044249 GO:0044271 GO:0045429 GO:0048518 GO:0048522 GO:0051173 GO:0051641 GO:0051649 GO:0051789 GO:0065007 GO:0070096 GO:0070271 GO:0005622 GO:0005623 GO:0005737 GO:0005829 GO:0031410 GO:0042470 GO:0043229 GO:0043231
70.2386 2.29 0.36 0.252iorA 0.45 GO:0005524 GO:0030554 GO:0051082 GO:0006457 GO:0006950 GO:0009987 GO:0034960 GO:0043283 GO:0044237 GO:0005622 GO:0005623 GO:0005737 GO:0005829 GO:0005886
80.3870 3.84 0.12 0.451s16B 0.44 GO:0003677 GO:0003918 GO:0005524 GO:0030554 GO:0006265 GO:0009987 GO:0034960 GO:0043283 GO:0044237 GO:0046677 GO:0005622 GO:0005623 GO:0005694 GO:0043229 GO:0044424
90.3779 4.32 0.12 0.451kijB 0.43 GO:0003677 GO:0003918 GO:0005524 GO:0030554 GO:0006265 GO:0009987 GO:0034960 GO:0043283 GO:0044237 GO:0005622 GO:0005623 GO:0005694 GO:0043229 GO:0044424
100.3569 4.29 0.14 0.421nhjA 0.43 GO:0005524 GO:0030554 GO:0030983 GO:0006261 GO:0006298 GO:0009058 GO:0009987 GO:0033554 GO:0034960 GO:0034961 GO:0043283 GO:0043284 GO:0044249 GO:0045005 GO:0051716

Consensus Prediction of Gene Ontology terms 
Molecular Function  Biological Process Cellular Location
GO termGO-Score  GO termGO-Score GO termGO-Score
GO:00325530.472  GO:00442370.519  GO:00444240.453
GO:00054880.472  GO:00099870.472  GO:00056230.453
GO:00325590.472  GO:00431700.425  GO:00444640.453
GO:00305540.472  GO:00349600.425  GO:00056220.453
GO:00170760.472  GO:00442600.425  GO:00432290.361
GO:00055240.472  GO:00432830.425  GO:00432260.361
GO:00001660.472  GO:00442380.425  GO:00057370.286
GO:00325550.472  GO:00508960.328  GO:00444440.238
GO:00055150.341  GO:00064570.294  GO:00314100.193
GO:00510820.341  GO:00195380.294  GO:00319880.193

(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:
MET:448  ARG:449  ILE:452  VAL:453  THR:454  THR:456  GLU:457  
GLN:458  GLU:459  LYS:461  GLU:462  ILE:464  ALA:465  LYS:466  
LEU:467  LEU:468  ARG:469  SER:482  LEU:483  LEU:534  THR:535  
LEU:536  HIS:538  LEU:539  ARG:540  GLU:541  PHE:542  
Identified analogs with similar binding site:

RankPDB
Hit
TM-scoreRMSDaIDENaCov.BS-scoreDownload
Complex
Binding site residues on the predicted model
11jzqA0.2663 8.88 0.04 0.45 0.91Download448,449,452,453,454,456,457,458,459,461,462,464,465,466,467,468,469,482,483,534,535,536,538,539,540,541,542
22bf4A0.2733 7.59 0.06 0.41 0.79Download329,331,340,341,342,343,344,363,380,383,384,389,390,391,415,416,417,418,419,420,421,422,423,424,425,448,451,457,460,464
32bf4A0.2733 7.59 0.06 0.41 0.70Download114,277,280,297,298,299,311,312,315,316,324,325,326,327,328,329,330,331,339,340,341,342,343,344,345,363,364,365,366,367,369,370,371,372,373,374,388,389,390,391,392,393,402,425
41j1wA0.2929 8.03 0.04 0.46 0.67Download114,198,199,332,333,334,335,336,337,338,339,340,365,366,367,368,369,370,371,372,379,391,392,393,394,395,396,397,402,414
51osfA0.2417 2.08 0.36 0.25 0.42Download119,120,122,123,126,161,163,167,168,171,172,177,178,179,180,181,197,198,199,200,202,203,204,205,206,217,251
62gqpA0.2434 1.80 0.39 0.25 0.35Download119,120,123,161,162,163,167,168,169,171,172,173,174,175,202,203,205,206,219,231,251
72p1pB0.2602 7.76 0.05 0.40 0.32Download384,423,426,441,444,445,447,448,449,452,464,467
82p1pB0.2602 7.76 0.05 0.40 0.31Download348,349,350,351,352,353,354,355,356,357,359,386,442,443,444,446,447,529
92zbkB0.3633 4.67 0.10 0.43 0.28Download116,119,120,122,123,126,158,161,162,163,167,179,205,219,251,253
102bf4A0.2733 7.59 0.06 0.41 0.27Download12,108,272,275,276,277,315,317,318,319,361,362,363,364,373,374,388,390,403

(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).