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I-TASSER results for job id S34206

  Submitted Sequence

>myo1
EHKLFKVKIYLLNETSISVIIDSSFSVKQVRDLVLKELGLKYRSQYFGIVQSKISEGKHY
EHFLKNNQKMLDALNTVINDTKFLEGYKKQVITKFYLRIKICYKLYKHDIDSTIMYFIQN
AFDVRYNKYYLKEIEEQTLAAYHLYIEFGPYNPIYEKECREKFQDFLPSKRVIPKSPPDL
YQKVLLIYKQLQFESQNQARWQYLELLRTKDAFMSYQL

  Predicted Secondary Structure

Sequence                  20                  40                  60                  80                 100                 120                 140                 160                 180                 200
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   
EHKLFKVKIYLLNETSISVIIDSSFSVKQVRDLVLKELGLKYRSQYFGIVQSKISEGKHYEHFLKNNQKMLDALNTVINDTKFLEGYKKQVITKFYLRIKICYKLYKHDIDSTIMYFIQNAFDVRYNKYYLKEIEEQTLAAYHLYIEFGPYNPIYEKECREKFQDFLPSKRVIPKSPPDLYQKVLLIYKQLQFESQNQARWQYLELLRTKDAFMSYQL
PredictionCCCSSSSSSSSCCCCSSSSSSCCCCCHHHHHHHHHHHCCCCCCCCSSSSSSSSCCCCCCCCSSCCCHHHHHHHHHHCCCHHHHHCCCCCCCCSSSSSSSSSSCCCCCCCHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHCCHHHHCCCCHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHCHHHHCCCCC
Conf.Score97169998996289889999589882999999999982996350026879984034564204447618999998514057988464343667159999999703688999999988999999998588778889999999999999868876223666899998738499833356999999999999972699999999999999714131112569

  Top 5 Models predicted by I-TASSER

Download Model 1 Download Model 2 Download Model 3 Download Model 4 Download Model 5
C-score= 0.64
 C-score=-2.15
 C-score=-3.79
 C-score=-0.57
 C-score= 0.24
 
Estimated accuracy of Model1: 0.80±0.09 (TM-score)    4.2±2.8Å (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
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                  
Sec.Str
Seq		CCCSSSSSSSSCCCCSSSSSSCCCCCHHHHHHHHHHHCCCCCCCCSSSSSSSSCCCCCCCCSSCCCHHHHHHHHHHCCCHHHHHCCCCCCCCSSSSSSSSSSCCCCCCCHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHCCHHHHCCCCHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHCHHHHCCCCC
EHKLFKVKIYLLNETSISVIIDSSFSVKQVRDLVLKELGLKYRSQYFGIVQSKISEGKHYEHFLKNNQKMLDALNTVINDTKFLEGYKKQVITKFYLRIKICYKLYKHDIDSTIMYFIQNAFDVRYNKYYLKEIEEQTLAAYHLYIEFGPYNPIYEKECREKFQDFLPSKRVIPKSPPDLYQKVLLIYKQLQFESQNQARWQYLELLRTKDAFMSYQL
11h4rA 0.20 0.26 0.91 1.73Download --KTFTVRIVTMDA-EMEFNCEMKWKGKDLFDLVCRTLGLRE-TWFFGLQYTI----KDTVAWLKMDKKVLDH------------DVSKEEPVTFHFLAKFYPENAEVQEITQHLFFLQVKKQILDEKIYCPPEASVLLASYAVQAKYGDYDPSVHKRGFLAQEELLPKRVINLYTPEMWEERITAWYAEHRGRARDEAEMEYLKIAQDLEMYGVNYF
22i1jA 0.18 0.16 0.91 5.13Download --KSMNVRVTTMDAE-LEFAIQQTTTGKQLFDQVVKTIGLREV-WFFGLQYTDS---KGDLTWIKLYKKVMQQD------------VKKENPLQFKFRAKFYPEDVAIQEITLKLFYLQVKNAILSDEIYCPPETSVLLASYAVQARHGDHNPAVHGPGFLANDRLLPQRVTDQMSREEWEQSITNWWQEHRGMLREDAMMEYLKIAQDLEMYGVNY-
31h4rA 0.20 0.26 0.91 3.66Download --KTFTVRIVTMDA-EMEFNCEMKWKGKDLFDLVCRTLGLRET-WFFGLQYTI----KDTVAWLKMDKKVLD------------HDVSKEEPVTFHFLAKFYPENAEVQEITQHLFFLQVKKQILDEKIYCPPEASVLLASYAVQAKYGDYDPSVHKRGFLAQEELLPKRVINQMTPEMWEERITAWYAEHRGRARDEAEMEYLKIAQDLEMYGVNYF
41h4rA 0.20 0.26 0.91 2.48Download KT--FTVRIVTMDAEM-EFNCEMKWKGKDLFDLVCRTLGLR-ETWFFGLQYTI----KDTVAWLKMDKKVLD------------HDVSKEEPVTFHFLAKFYPENAEVQEITQHLFFLQVKKQILDEKIYCPPEASVLLASYAVQAKYGDYDPSVHKRGFLAQEELLPKRVINQMTPEMWEERITAWYAEHRGRARDEAEMEYLKIAQDLEMYGVNKA
51h4rA 0.20 0.26 0.91 2.27Download --KTFTVRIVTMDA-EMEFNCEMKWKGKDLFDLVCRTLGLRET-WFFGLQYTI----KDTVAWLKMDKKVLD------------HDVSKEEPVTFHFLAKFYPENAEVQEITQHLFFLQVKKQILDEKIYCPPEASVLLASYAVQAKYGDYDPSVHKRGFLAQEELLPKRVINQMTPEMWEERITAWYAEHRGRARDEAEMEYLKIAQDLEMYGVNYF
62i1jA 0.18 0.16 0.91 5.55Download --KSMNVRVTTMDA-ELEFAIQQTTTGKQLFDQVVKTIGLREV-WFFGLQYT---DSKGDLTWIKLYKKVMQQ------------DVKKENPLQFKFRAKFYPEDVAELIQEITLFYLQVKNAILSDEIYCPPETSVLLASYAVQARHGDHNPAVHGPGFLANDRLLPQRVTDQMSREEWEQSITNWWQEHRGMLREDAMMEYLKIAQDLEMYGVNYF
71gc7A 0.17 0.23 0.92 4.76Download MPKPINVRVTTMD-AELEFAIQPNTTG-KLFDQVVKTVGLREVWF-FGLQYV---DSKGYSTWLKLNKKVTQQDV------------KKENPLQFKFRAKFFPEDVSEQEITQRLFFLQVKEAILNDEIYCPPETAVLLASYAVQAKYGDYNKEIHKPGYLANDRLLPQRVLEKLTKEQWEERIQNWHEEHRGMLREDSMMEYLKIAQDLEMYGVNYF
82i1jA 0.19 0.16 0.89 5.55Download --KSMNVRVTTMDA-ELEFAIQQTTTGKQLFDQVVKTIGLREV-WFFGL---QYTDSKGDLTWIKLYKKVMQQ------------DVKKENPLQFKFRAKFYPEDVAELIQEITLFYLQVKNAILSDEIYCPPETSVLLASYAVQARHGDHNPAVHGP------GFLANDRLLPQRVEEWEQSITNWWQEHRGMLREDAMMEYLKIAQDLEMYGVNYF
91h4rA 0.20 0.26 0.91 3.07Download --KTFTVRIVTMDA-EMEFNCEMKWKGKDLFDLVCRTLGLRE-TWFFGLQYTI----KDTVAWLKMDKKVLD------------HDVSKEEPVTFHFLAKFYPENAEVQEITQHLFFLQVKKQILDEKIYCPPEASVLLASYAVQAKYGDYDPSVHKRGFLAQEELLPKRVIYQMTPEMWEERITAWYAEHRGRARDEAEMEYLKIAQDLEMYGVNYF
101gg3A 0.17 0.22 0.87 1.66Download ----MHCKVSLLDDTVYECVVEKHAKGQDLLKRVCEHLNLLE-EDYFGLAIWDNATSKT---WLDSAKEI--------------KKQVRGVPWNFTFNVKFYPPDPATEDITRYYLCLQLRQDIVAGRLPCSFATLALLGSYTIQSELGDYDPELHGV------DYVSDFKLAPNQTKELEEKVMELHKSYRSMTPAQADLEFLENAKKLSMYGVDLH
(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
10.8857 0.91 0.20 0.911h4rA
Model1
 
20.8750 1.29 0.18 0.912i1jA
Model1
 
30.8747 1.38 0.17 0.921e5wA
Model1
 
40.8011 1.72 0.14 0.871gg3A
Model1
 
50.7893 2.82 0.12 0.942aehA
Model1
 
60.7892 2.87 0.12 0.942j0jA
Model1
 
70.4704 1.96 0.21 0.511mixA
Model1
 
80.4620 4.76 0.04 0.682vc9A
Model1
 
90.4392 5.26 0.05 0.712dhrA
Model1
 
100.4356 5.59 0.10 0.731f52A
Model1
 
Structural alignment using TM-align
 
--KTFTVRIVTMD-AEMEFNCEMKWKGKDLFDLVCRTLGLRET-WFFGLQYTI---KD-TVAWLKMDKKVLDH-----------D-VSKEEPVTFHFLAKFYPENAEEELVQEITQHLFFLQVKKQILDEKIYCPPEASVLLASYAVQAKYGDYDPSVHKRGFLAQEELLPKRVINLYQMTPEMWEERITAWYAEHRGRARDEAEMEYLKIAQDLEMYGVNYFAIRNKKGTELLLGVDALGLHIYDPENRLTPKISFPWNEIRNISYSDKEFTIKPLDKKIDVFKFNSSKLRVNKLILQLCIGNHDLFMRRRKA 
EHKLFKVKIYLLNETSISVIIDSSFSVKQVRDLVLKELGLKYRSQYFGIVQSKISEGKHYEHFLKNNQKMLDALNTVINDTKFLEGYKKQVITKFYLRIKICYKLYK---HDIDSTIMYFIQNAFDVRYNKYYLKEIEEQTLAAYHLYIEFGPYNPIYEKECREKFQDFLPSKRVI-P-KSPPDLYQKVLLIYKQLQFESQNQARWQYLELLRTKDAFMSYQL------------------------------------------------------------------------------------------- 
 
--KSMNVRVTTMD-AELEFAIQQTTTGKQLFDQVVKTIGLREV-WFFGLQYTDS-KG--DLTWIKLYKKVMQQD------------VKKENPLQFKFRAKFYPEDVADELIQEITLKLFYLQVKNAILSDEIYCPPETSVLLASYAVQARHGDHNPAVHGPGFLANDRLLPQRVTDQHKMSREEWEQSITNWWQEHRGMLREDAMMEYLKIAQDLEMYGVNYFEIRNKKNTELWLGVDALGLNIYEKDDKLTPKIGFPWSEIRNISFNDRKFIIKPIDKKAPDFVFFAPRVRVNKRILALCMGNHELYMRRRKPDTIDVQQMKAQAREEKLAKQAQREKLQLEIAARERAEKKQQEYQDRLRQMQEEMERSQANLLEAQDMVEDARRKQDEAAAALLAATTPQHHHVAERESGGGDLARGPDDLVDPVADRRTLAERNERLHNQLKALKQDLARSCDETKETAMDKIHRENVRQGRDKYKTLREIRKGNTKRRVDQFENM 
EHKLFKVKIYLLNETSISVIIDSSFSVKQVRDLVLKELGLKYRSQYFGIVQSKISEGKHYEHFLKNNQKMLDALNTVINDTKFLEGYKKQVITKFYLRIKICYKLYK---HDIDSTIMYFIQNAFDVRYNKYYLKEIEEQTLAAYHLYIEFGPYNPIYEKECREKFQDFLPSKRVI-PKS-PPDLYQKVLLIYKQLQFESQNQARWQYLELLRTKDAFMSYQL------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 
 
MPKTISVRVTTMD-AELEFAIQPNTTGKQLFDQVVKTIGLREV-WFFGLQYQDT-KG--FSTWLKLNKKVTAQ-----------D-VRKESPLLFKFRAKFYPEDVSEELIQDITQRLFFLQVKEGILNDDIYCPPETAVLLASYAVQSKYGDFNKEVHKSGYLAGDKLLPQRVLEQHKLNKDQWEERIQVWHEEHRGMLREDAVLEYLKIAQDLEMYGVNYFSIKNKKGSELWLGVDALGLNIYEQNDRLTPKIGFPWSEIRNISFNDKKFVIKPIDKKAPDFVFYAPRLRINKRILALCMGNHELYMRRRKPDTIEVQQMKAQAREEKHQKQMERAMLENEKKKREMAEKEKEKIEREKEE 
EHKLFKVKIYLLNETSISVIIDSSFSVKQVRDLVLKELGLKYRSQYFGIVQSKISEGKHYEHFLKNNQKMLDALNTVINDTKFLEGYKKQVITKFYLRIKICYKLYK---HDIDSTIMYFIQNAFDVRYNKYYLKEIEEQTLAAYHLYIEFGPYNPIYEKECREKFQDFLPSKRVIPK--SPPDLYQKVLLIYKQLQFESQNQARWQYLELLRTKDAFMSYQL-------------------------------------------------------------------------------------------------------------------------------------------- 
 
----MHCKVSLLDDTVYECVVEKHAKGQDLLKRVCEHLNLLEEDYFGLAIWDN----A-TSKTWLDSAKEIKKQVR----------G-V-P--WNFTFNVKFYPPDPAQLTEDITRYYLCLQLRQDIVAGRLPCSFATLALLGSYTIQSELGDYDPELHGVDYVSDFKLAPN-QT----K-ELEEKVMELHKSYRSMTPAQADLEFLENAKKLSMYGVDLHKAKDLEGVDIILGVCSSGLLVYKDKLRINRFPWPKVLKISYKRSSFFIKIRPGEQEQYESTIGFKLPSYRAAKKLWKVCVEHHTFFR 
EHKLFKVKIYLLNETSISVIIDSSFSV-KQVRDLVLKELGLKYRSQYFGIVQSKISEGKHYEHFLKNNQKMLDALNTVINDTKFLEGYKKQVITKFYLRIKICYKLYK-H-DIDSTIMYFIQNAFDVRYNKYYLKEIEEQTLAAYHLYIEFGPYNPIYEKECREKFQDFLPSKRVIPKSPPDLYQKVLLIYKQLQFESQNQARWQYLELLRTKDAFMSYQL--------------------------------------------------------------------------------------- 
 
--MERVLKVFHYFENSSEPTTWASIIRHGDATDVRGIIQKIVDCHKVKNVAC-YGLRLSH-LQ-SEEVHWLHLDMGVSNVREK-------FELAHPPEE-WKYELRIRYLPKGFLNQFTEDKPTLNFFYQQVKNDYMLEIADQVDQEIALKLGCLEIRRSYGEMRGNALEKKSNYEVLEKDVGLRRFFPKSLLDSVKAKTLRKLIQQTFRQFANLNREESILKFFEILSPV-YRFDKECFKCALGSSWIISVELAIGPEEGISYLTDKGANPTHLADFNQVQTIQYSNSEDKDRKGMLQLKIAGAPEPLTVTAPSLTIAENMADLIDGYCRLVNGATQSFIIRPQ 
EHKLFKVKIYLL-N----E--TSISVIIDSSFSVKQVRDLVLKELGLKYRSQYFGIVQSKISEGKHYEHFLKNNQKMLDALNTVINDTKFLEGYKKQV-ITKFYLRIKICYKL-YKHD---IDSTIMYFIQNAFDVRYNKY-YLKEIEEQTLAAYHLYIEFG-PY-NP--IYEKECREK--FQ-D-FLPSKRVIPKSPPDLYQKVLLIYKQLQFESQNQARWQYLELLRTKDAFM-SYQL--------------------------------------------------------------------------------------------------------- 
 
----RVLKVFHYFENSSEPTTWASIIRHGDATDVRGIIQKIVDCHKVKNVAC-YGLRLSH-LQ-SEEVHWLHLDMGVSNVREK-------FELAHPPEEWKYELRIRYLPKGFLNQFTEDKPTLNFFYQQVKNDYMLEIADQVDQEIALKLGCLEIRRSYGEMRGNALEKKSNYEVLEKDVGLRRFFPKSLLDSVKAKTLRKLIQQTFRQFANLNREESILKFFEILSPVYRFDKECFKCALGSSWIISVELAIGPEEGISYLTDKGANPTHLADFNQVQTIQYSNSEDKDRKGMLQLKIAGAPEPLTVTAPSLTIAENMADLIDGYCRLVNGATQSFIIRPTDDYAEIIDEEDTYTMPSTRDYEIQRERIELGRCIGEGQFGDVHQGIYMSPENPAMAVAIKTCKNCTSDSVREKFLQEALTMRQFDHPHIVKLIGVITENPVWIIMELCTLGELRSFLQVRKFSLDLASLILYAYQLSTALAYLESKRFVHRDIAARNVLVSSNDCVKLGDFGLSRYMEDLPIKWMAPESINFRRFTSASDVWMFGVCMWEILMHGVKPFQGVKNNDVIGRIENGERLPMPPNCPPTLYSLMTKCWAYDPSRRPRFTELKAQLSTILEEEKLQ 
EHKLFKVKIYLL-N----E--TSISVIIDSSFSVKQVRDLVLKELGLKYRSQYFGIVQSKISEGKHYEHFLKNNQKMLDALNTVINDTKFLEGYKKQVITKFYLRIKICY-KLYK-H--DIDSTIMYFIQNAFDVRYNKY-YLKEIEEQTLAAYHLYIEFG--PYNPIYE--KECREK--FQ-D-FLPSKRVIPKSPPDLYQKVLLIYKQLQFESQNQARWQYLELLRTKDAF-MSYQL-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 
 
MKFF------------------------------------------------------------------------------------------------------YSDQNVDSRDPVQLNLLYVQARDDILNGSHPVSFDKACEFAGYQCQIQFGPHNEQKHKPGFLELKDFLPKEYIK-Q-K--GERKIFMAHKNCGNMSEIEAKVRYVKLARSLKTYGVSFFLVKEKMKGKNKLVPRLLGITKECVMRVDEKTKEVIQEWSLTNIKRWAASPKSFTLDFGDYQDGYYSVQTTEGEQIAQLIAGYIDIIL 
----EHKLFKVKIYLLNETSISVIIDSSFSVKQVRDLVLKELGLKYRSQYFGIVQSKISEGKHYEHFLKNNQKMLDALNTVINDTKFLEGYKKQVITKFYLRIKICYK--LYK-HDIDSTIMYFIQNAFDVRYNKYYLKEIEEQTLAAYHLYIEFGPYNPIYEKECREKFQDFLPSKRVIPKSPPDLYQKVLLIYKQLQFESQNQARWQYLELLRTKDAFMSY---------------------Q---------------------------------------------------------L--------- 
 
GVEITEGVTVTAKGNTEGNTADLAIDGDLSTYWESSNDYKWIEVDLGGIYELSKIEIFNKDEAVYKYNIYASEDGENFNKIAYKNNDNVSDSNGNMHTIDNVRAGKIRIDVVQNSNSDRVNIAEINVFGKNTGESLPEVKKIATSNFSETPWATEYEKFNSDSAYAN-------EKTLNEIK-NLV---------------GR-VIGREFKD--K---FIFEIRD-QLNGNDVFEVSD-SGDGK--VL----------IKGNNGV------SLASGFNYYLKNYCNVSYNPIMGSNLKMPETMPSVGERVVIDTPY--------------EHRYALNFCTYSYTMSFWDWDQYEEFLDWCAMNGVNLVLDIIGQEEVLRRTLNEFGYSDEEVKEFISG--PAYFAWFYMQNMTGFGGP-LPNDWFEQRAELGRKMHDRMQSFGINPVLQGYSGMVPRDFKEKNQEAQTISQGGWCGFDRPDMLKTYVNEGEADYFQKVADVFYEKQKEVFGDVTNFYGVDPFHEGGNTGDLDNGKIYEIIQNKMIEHDNDAVWVIQNWQGNPSNNKLEGLTKKDQAMVLDLFSEVSPDWNRLEERDLPWIWNMLHNFGGRMGMDAAPEKLATEIPKALANSEHMVGIGITPE------------------------AINTNPLAYELLFDMAWTRDQINFRTWTEDYIERRYGKTNKEILEAWNIILDTAYKKRNDYYQGAAESIINARPGFGIKSASTWGHSKIVYDKSEFEKAIEIFAKNYDEFKDSDAFLYDFADILKQLLANSAQEYYEVMCNAYNNGNGEKFKFVSGKFLELIKLQERVLSTRPEFLIGNWIEDARTMLKDSDDWTKDLFEFNARALVTTWGSRNNADGGGLKDYSNRQWSGLTEDYYYARWEKWINGLQAELDGGAKAPNIDWFKMEYDWVNKKSDTDKLYPTEASNENLGELAKIAMESYSVTNMD 
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------EHKLFKVK--IYLLNETSISVIIDSSFSVKQVRDL-VLKELGLK-YRSQYFGIVQSKISEGK-HYEHFLKNNQKM--LDALNTVINDTKFLEGYK---KQVITKFYL--RIK--I-----CYK--LYKHDID-----------------STIMYFIQNAFDVRYNKYYLKEIEEQTLAAYHLYIEF---------------------------------------------GPY-----------------NPIYEKECREKFQD--FL--------PSKRVIP--K-----------------------------------------------S---P--P-------------------------------------------------------------------------------------------------------------------------------------DLYQKVLLIYKQLQFESQNQARWQYLELLR-TK-DAFMSYQL------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 
 
R--ARV----------------LTEAPK-VT-FKD-VA--GAEEAKEELKEIVEFLKNPSRFHEMGARI---------PKGVLLVGPPGVGKTHLARAVAGEARVPFITASGSDFVEMFVGVGAARVRDL-FETAKRHAPCIVFIDEIDAVGRKRGSGVGGGNDEREQTLNQLLVEMD-GFEKDTAIVV-----MAATNRPDILDPALLRPGRFDRQIAIDAPDVKGREQILRIHARGKPLAEDVDLALLAKRTPGFVGADLENLLNEAALLAAREGRRKITMKDLEEAADRVMMLPAKKSLVLSPRDRRITAYHEAGHALAAHFLEHADG----VHK-VTI-VPRGRALGFMMPR-REDMLHWSRKRLLDQIAVALAG-RAAEEIVFDDVTT-GAENDFRQATELARRMITEWGMHPEFGPVAYAVREDTYLGGYDVRQYSEETAKRIDEAVRRLIEEQYQRVKALLLEKREVLERVAETLLERETLTAEEFQRVVEGLPLEAPE---------------- 
-EHKLFKVKIYLLNETSISVIIDS-SFSVKQVRDLVLKELGLKYRSQYFGIV-----------------QSKISEGKHYEHF-------------L--K--NN-QKMLD---------------------AL--NT--VI--------------------------------------NDTKF-L-EGYKKQVITKFY-----------------LRIK----------------------------------------------------------------------------------------------------------------ICYKLYKHDIDSTIMYFIQNA-FDVRYNKYY-LKEIEEQTLAAYHLYIEFGPYNP---IYEKECREKFQDFL--P-SKRVI---P-K---------------------------------SPPDLYQKVLLIYK-QLQ-----F--ES--Q---NQARWQ---------------YLELLRTKDAFMSYQL 
 
SAEHVLTMLNEHEV--KFVDLRFTDTKGKEQHVTIPAHQVNAEFFEEGKM--FD-GSSIGGWKGINESD-MVLMPDAS--------------------------------TAVIDPFFADSTLIIRCDILEPGTLQGYD---------R--DPRSIAKRAED-YLRATGIADTVLFGPEPEFFLFDDIRFGASISGSHVAIDDIEGAWNSSTKYEGGNKGHRPGVKGGYFPVPPVDSAQDIRSEMCLVMEQMGLVVEAHHHEVATAGQNEVATRFNTMTKKADEIQIYKYVVHNVAHRFGKTATFMPKPMFGDNGSGMHCHMSLAKNGTNLFSGDKYAGLSEQALYYIGGVIKHAKAINALANPTTNSYKRLVPGYEAPVMLAYSARNRSASIRIPVVASPKARRIEVRFPDPAANPYLCFAALLMAGLDGIKNKIHPGEPMDKN-LYDLPPEEAKEIPQVA-GSLEEALNALDLDREFLK-A--GGVFTDEAIDAYIALRREEDDRVRMTPHPVEFELYYSV--- 
--------------EHKLFKVKIYLLNETSISVIID--SS---F--SVKQVRDLVLKELGLKYR--SQ-YFGIVQSKISEGKHYEHFLKNNQKMLDALNTVINDTKFLEGYKKQ--------VITKFYLR-----IKICYKLYKHDIDSTIMYFIQNAFDV-RYNK-Y-Y----------------------------------------------------------------------------------------------------------------------------------------------------------------------------L--KE-IEEQTLAAYHLYI-E-FG-PYNPIYEKECRE------------K----------------FQD---------F--LP--SK-R-----VIPKSPPD-LYQ-------KVLLIYKQLQFESQNQARWQYLELLRTKDAFMS-----------------------------------YQL 
 
(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.
10.7892 2.87 0.12 0.941.17832j0jA 2.7.10.2
 
20.7705 3.14 0.11 0.951.12412j0mA 2.7.10.2
 
30.4186 5.34 0.09 0.700.61332lgsA 6.3.1.2
 
40.4008 5.43 0.10 0.670.60692w41B 2.7.1.30
 
50.4224 6.13 0.07 0.780.59261t36G 6.3.5.5
 
(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
10.8813 1.35 0.20 0.921isnA 1.56 GO:0008092 GO:0007049 GO:0007165 GO:0008283 GO:0009790 GO:0010648 GO:0010926 GO:0016043 GO:0044092 GO:0048519 GO:0048646 GO:0048856 GO:0051726 GO:0001726 GO:0005622 GO:0005623 GO:0005634 GO:0005737 GO:0005856 GO:0005886 GO:0005912 GO:0019898 GO:0030027 GO:0030175 GO:0031252 GO:0032153 GO:0032154 GO:0043229
20.8852 1.20 0.18 0.922yvcB 1.56 GO:0003779 GO:0010926 GO:0019222 GO:0022607 GO:0030029 GO:0030030 GO:0033036 GO:0043283 GO:0043933 GO:0044087 GO:0044237 GO:0044238 GO:0048519 GO:0050794 GO:0060255 GO:0065008 GO:0001726 GO:0005622 GO:0005623 GO:0005737 GO:0005856 GO:0005886 GO:0005902 GO:0019898 GO:0030027 GO:0030175 GO:0031252 GO:0032420 GO:0032421 GO:0043229 GO:0045177
30.8843 1.16 0.17 0.921ni2B 1.54 GO:0043621 GO:0050839 GO:0051015 GO:0007155 GO:0009653 GO:0010926 GO:0016043 GO:0022406 GO:0022610 GO:0030029 GO:0033036 GO:0044085 GO:0048856 GO:0048869 GO:0050793 GO:0050794 GO:0051235 GO:0065008 GO:0001726 GO:0005622 GO:0005623 GO:0005737 GO:0005829 GO:0005884 GO:0005886 GO:0005902 GO:0005938 GO:0015629 GO:0016324 GO:0019898 GO:0030175 GO:0030863 GO:0031252 GO:0043229 GO:0044448 GO:0045177
40.8764 1.27 0.18 0.912i1kA 1.52 GO:0008092 GO:0005622 GO:0005623 GO:0005737 GO:0005856 GO:0016020 GO:0019898 GO:0043229
50.8640 1.37 0.17 0.911sghA 1.46 GO:0005102 GO:0005200 GO:0008092 GO:0050839 GO:0002376 GO:0006928 GO:0007159 GO:0022610 GO:0022614 GO:0050900 GO:0001931 GO:0005622 GO:0005623 GO:0005737 GO:0005856 GO:0005886 GO:0005902 GO:0016323 GO:0016324 GO:0019898 GO:0030175 GO:0043229 GO:0045177
60.8291 1.45 0.16 0.883binA 1.39 GO:0003779 GO:0005198 GO:0030029 GO:0030036 GO:0030866 GO:0005622 GO:0005623 GO:0005737 GO:0005856 GO:0005886 GO:0005911 GO:0019898 GO:0043229
70.7990 1.76 0.14 0.871gg3C 1.27 GO:0003779 GO:0005200 GO:0005545 GO:0008015 GO:0030029 GO:0030036 GO:0030866 GO:0005622 GO:0005623 GO:0005634 GO:0005737 GO:0005886 GO:0005938 GO:0008091 GO:0015629 GO:0019898 GO:0030863 GO:0030864 GO:0043229 GO:0043234 GO:0044448
80.4895 0.83 0.17 0.501isnA 0.86 GO:0008092 GO:0007049 GO:0007165 GO:0009790 GO:0010648 GO:0010926 GO:0016043 GO:0042127 GO:0048519 GO:0048646 GO:0048856 GO:0051726 GO:0065009 GO:0001726 GO:0005622 GO:0005623 GO:0005634 GO:0005737 GO:0005856 GO:0005886 GO:0005912 GO:0019898 GO:0030027 GO:0030175 GO:0031252 GO:0032153 GO:0032154 GO:0043229
90.4803 1.42 0.20 0.501sghA 0.86 GO:0005102 GO:0005200 GO:0008092 GO:0050839 GO:0002376 GO:0006928 GO:0007159 GO:0022610 GO:0022614 GO:0050900 GO:0001931 GO:0005622 GO:0005623 GO:0005737 GO:0005856 GO:0005886 GO:0005902 GO:0016323 GO:0016324 GO:0019898 GO:0030175 GO:0043229 GO:0045177
100.5067 0.86 0.12 0.522yvcB 0.83 GO:0003779 GO:0010926 GO:0019222 GO:0022607 GO:0030029 GO:0030030 GO:0033036 GO:0043283 GO:0043933 GO:0044087 GO:0044237 GO:0044238 GO:0048519 GO:0050794 GO:0060255 GO:0065008 GO:0001726 GO:0005622 GO:0005623 GO:0005737 GO:0005856 GO:0005886 GO:0005902 GO:0019898 GO:0030027 GO:0030175 GO:0031252 GO:0032420 GO:0032421 GO:0043229 GO:0045177

Consensus Prediction of Gene Ontology terms 
Molecular Function  Biological Process Cellular Location
GO termGO-Score  GO termGO-Score GO termGO-Score
GO:00037790.659  GO:00160430.980  GO:00198981.285
GO:00051980.498  GO:00300290.737  GO:00057371.285
GO:00508390.386  GO:00507940.715  GO:00056231.285
GO:00052000.359  GO:00109260.715  GO:00058561.285
GO:00051020.232  GO:00650070.715  GO:00056221.285
GO:00510150.154  GO:00488560.708  GO:00432291.285
GO:00436210.154  GO:00511790.704  GO:00058861.134
GO:00055450.127  GO:00485190.482  GO:00301750.868
GO:00350910.127  GO:00440870.478  GO:00444590.768
GO:00055430.127  GO:00096530.475  GO:00312520.636

(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:
TYR:42  TYR:46  PHE:47  ILE:99  ILE:101  CYS:102  TYR:103  
LEU:105  TYR:106  HIS:108  ASP:109  SER:112  THR:113  TYR:116  
PHE:117  GLN:119  ASN:120  ALA:121  PHE:122  ASP:123  VAL:124  
ARG:125  TYR:126  ASN:127  LYS:128  TYR:129  LEU:131  LEU:139  
HIS:143  LEU:167  PRO:168  LEU:204  LYS:210  PHE:213  
Identified analogs with similar binding site:

RankPDB
Hit		TM-scoreRMSDaIDENaCov.BS-scoreDownload
Complex		Binding site residues on the predicted model
11cleA0.4018 5.60 0.09 0.69 0.63Download42,46,47,99,101,102,103,105,106,108,109,112,113,116,117,119,120,121,122,123,124,125,126,127,128,129,131,139,143,167,168,204,210,213
21gufA0.3894 5.87 0.07 0.68 0.60Download12,13,99,101,102,103,104,105,106,108,111,112,113,114,115,116,117,118,119,120,142,143,145,146,147,148,194,195,196,197,198,199,200,204,213,214
32cf6A0.3718 5.85 0.08 0.65 0.56Download13,113,114,115,116,117,118,119,120,121,122,142,143,144,145,146,147,148,149,150,151,188,191,193,194,195,196,197,198,199,200,203,204,207,213
42h96A0.3561 6.65 0.09 0.70 0.40Download6,7,8,9,10,27,30,49,50,51,64,70,74,87,90,91,92,93,94,95,96
53blrA0.3364 6.13 0.10 0.64 0.29Download8,9,10,11,12,15,16,17,31,34,35,38,48,49,50,51,93,94,95,96,97
61txzA0.3488 4.93 0.11 0.55 0.19Download7,9,11,17,18,19,29,30,31,32,33,34,35,36,37,38,39,40,42,43,44,45,47,48,49,66,97,100
71yqdA0.3904 5.77 0.07 0.68 0.05Download12,13,40,46,47,98,99,100,101,102,103,110,111,112,113,114,115,116,117,118,119,120,143,146,147,196,197,198,199,200,201,216

(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).