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I-TASSER results for job id S776137

(Click on S776137_results.tar.bz2 to download the tarball file including all modeling results listed on this page. Click on Annotation of I-TASSER Output to read the instructions for how to interpret the results on this page. Model results are kept on the server for 60 days, there is no way to retrieve the modeling data older than 2 months)

Submitted Sequence in FASTA format

>protein
MEEFLLHGRLHATIYEVDCLHGEGGRSGFLGSILANVEETIGVGKGEAQLYATIDLEKAR
VGRTRKITKEPKNPKWYESFHIYCGHKARHVIFTVKDANPIGATLIGRGYVPVEDILHGE
EVDRWVEILDNEKKPTAGGSKIHVKLQYFGVEKDKNWNRGIKSAKFPGVPYTFFSQRRGC
KVSLYQDAHIPGNFVPKIPLAGGKNYEPNRCWEDIFDAITNAKHLIYITGWSVYTEISLV
RDSRRPKQGGDVTIGELLKKKASEGVKVILLVWDDRTSVDLLKKDGLMATHDEETENFFR
GTDVNCILCPRNPDDGGSIVQNLQISTMFTHHQKIVVVDSEMPSGGSRSRSRRIVSFVGG
LDLCDGRYDTPFHSLFRTLDTAHHDDFHQPNFTGAAITKGGPREPWHDIHCRLEGPIAWD
VLYNFEQRWRKQGGKDILVKMRDLGDIIIPPSPVLFSEDHDVWNVQLFRSIDGGAAAGFP
DSPEAAAEAGLVSGKDNIIDRSIQDAYIHAIRRAKDFIYIENQYFLGSSFAWSADGIKPE
EINALHLIPKELSLKIVSKIKAGERFKVYVVVPMWPEGIPESGSVQAILDWQRRTMEMMY
KDVIKALREKGLEGEDPRDYLTFFCLGNREVKKDGEYEPSEKPEPDTDYIRAQEARRFMI
YVHTKMMIVDDEYIIIGSANINQRSMDGARDSEIALGGYQPYHLSTRQPARGQIHGFRMS
LWYEHLGMLDETFLDPSSQECIQKVNRVADKYWDLYSSESLEHDLPGHLLRYPIGIASEG
NITELPGCEFFPDTKARILGARSDYMPPILTT

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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| MEEFLLHGRLHATIYEVDCLHGEGGRSGFLGSILANVEETIGVGKGEAQLYATIDLEKARVGRTRKITKEPKNPKWYESFHIYCGHKARHVIFTVKDANPIGATLIGRGYVPVEDILHGEEVDRWVEILDNEKKPTAGGSKIHVKLQYFGVEKDKNWNRGIKSAKFPGVPYTFFSQRRGCKVSLYQDAHIPGNFVPKIPLAGGKNYEPNRCWEDIFDAITNAKHLIYITGWSVYTEISLVRDSRRPKQGGDVTIGELLKKKASEGVKVILLVWDDRTSVDLLKKDGLMATHDEETENFFRGTDVNCILCPRNPDDGGSIVQNLQISTMFTHHQKIVVVDSEMPSGGSRSRSRRIVSFVGGLDLCDGRYDTPFHSLFRTLDTAHHDDFHQPNFTGAAITKGGPREPWHDIHCRLEGPIAWDVLYNFEQRWRKQGGKDILVKMRDLGDIIIPPSPVLFSEDHDVWNVQLFRSIDGGAAAGFPDSPEAAAEAGLVSGKDNIIDRSIQDAYIHAIRRAKDFIYIENQYFLGSSFAWSADGIKPEEINALHLIPKELSLKIVSKIKAGERFKVYVVVPMWPEGIPESGSVQAILDWQRRTMEMMYKDVIKALREKGLEGEDPRDYLTFFCLGNREVKKDGEYEPSEKPEPDTDYIRAQEARRFMIYVHTKMMIVDDEYIIIGSANINQRSMDGARDSEIALGGYQPYHLSTRQPARGQIHGFRMSLWYEHLGMLDETFLDPSSQECIQKVNRVADKYWDLYSSESLEHDLPGHLLRYPIGIASEGNITELPGCEFFPDTKARILGARSDYMPPILTT
Prediction	CCCSSSSSSSSSSSSSCCCCCCCCCCCHHHHHHHHCCCCCCCCCCCCCCCSSSSSSCCSSSSSSSSCCCCCCCCCCCSSSSSSCCCCCCSSSSSSSSCCCCCCCSSSSSSSSHHHHCCCCCCCCSSSSCCCCCCCCCCCCSSSSSSSSSSCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHCSSSSSSSSCCCCSSSSCCCCCCCCCCCCHHHHHHHHHHHCCCSSSSSSSCCCCHHHHHHCCCCCCCCCHHHHHHHHCCCCCSSSCCCCCCCCCHHSSCCCCCCCCCCCCSSSSSCCCCCCCCCCCCCCCSSSSSCCSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHCCCCCCCCCCSSSSSSSSSCHHHHHHHHHHHHHHHHHCCCCCCCCHHHCCCCCCCCCCCCCCCCCCCSSSSSSCCCCCCCCCCCCCCHHHHHHCCCCCCCCCCCCCHHHHHHHHHHHHHHHHSSSSCCCCCCHHHHCCCCCCCCCCCHHHHHHHHHHHHHHHHHHCCCCCCSSSSSSCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHSSSSCCCCCCCCCCCCCCCCCCCCCCCCHHHHHCCCCCCSSSSCCSSSSCCCSSSSCCCCCCCCCCCCCCCCCSSSSSSSCCCCCCCCCCHHHHHHHHHHHHHHHHCCCHHHHCCCCCHHHHHHHHHHHHHHHHHCCHHCCCCCCCCCHHHCCCCCCCCCCSSSCCCCSSCCCCCCCCCCCCCCCCCCCCCC
Conf.Score	96376555689999983289888765224566640443234578998780499998995777889688999899761159998158776289999968866883678899885561478763427870025688778874268877556402355432133556667755322440114665302445667876885006653463507889999999983121799985220511486137976455763509999999986798589999556000011203443346868888887257863797256765333000101245321355228998456556766667665489804776578866664574445555323335556311220146899998857679999999999999999999998627443464112552347996121234678425411013552213443548777741384006998651429999999999756617841444256133112211120012177766799999999875136785799962588888754204889999999863010999999999728765586671665215554335678757533667897422110146520687500689627544741222551234678653257787513322245572467899999999998699778843755488886656999985431201115778995355375031899967668987179899987788768879986669
	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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| MEEFLLHGRLHATIYEVDCLHGEGGRSGFLGSILANVEETIGVGKGEAQLYATIDLEKARVGRTRKITKEPKNPKWYESFHIYCGHKARHVIFTVKDANPIGATLIGRGYVPVEDILHGEEVDRWVEILDNEKKPTAGGSKIHVKLQYFGVEKDKNWNRGIKSAKFPGVPYTFFSQRRGCKVSLYQDAHIPGNFVPKIPLAGGKNYEPNRCWEDIFDAITNAKHLIYITGWSVYTEISLVRDSRRPKQGGDVTIGELLKKKASEGVKVILLVWDDRTSVDLLKKDGLMATHDEETENFFRGTDVNCILCPRNPDDGGSIVQNLQISTMFTHHQKIVVVDSEMPSGGSRSRSRRIVSFVGGLDLCDGRYDTPFHSLFRTLDTAHHDDFHQPNFTGAAITKGGPREPWHDIHCRLEGPIAWDVLYNFEQRWRKQGGKDILVKMRDLGDIIIPPSPVLFSEDHDVWNVQLFRSIDGGAAAGFPDSPEAAAEAGLVSGKDNIIDRSIQDAYIHAIRRAKDFIYIENQYFLGSSFAWSADGIKPEEINALHLIPKELSLKIVSKIKAGERFKVYVVVPMWPEGIPESGSVQAILDWQRRTMEMMYKDVIKALREKGLEGEDPRDYLTFFCLGNREVKKDGEYEPSEKPEPDTDYIRAQEARRFMIYVHTKMMIVDDEYIIIGSANINQRSMDGARDSEIALGGYQPYHLSTRQPARGQIHGFRMSLWYEHLGMLDETFLDPSSQECIQKVNRVADKYWDLYSSESLEHDLPGHLLRYPIGIASEGNITELPGCEFFPDTKARILGARSDYMPPILTT
Prediction	53210000001000010230123211232023003304433444423020000020474310212304546420302030101001302301010104211303000201020330252431320030235544223330101021212302312101100020322124222132333131211032012300002032220320223300310030034033100000000001010113443244343110030033004440200000011100202122110101234102200220201000000101211101211211201001100000003114343443421000000000001030132202012225213242022120122203433222001000000100002000300110023014521223144023100011101224121102011011011100310031121011000022444322310130003003303310100000001112122133232642302120032004102312443520000000001022324330020002111200110132004203634153431320000000222222443423233333222312323313311010100000011100100201013231413200000000222330424330330100002000000000034203202223004203400440232134543353033200300030044330331531330115503012132310033217
	Values range from 0 (buried residue) to 9 (highly exposed residue)

Predicted normalized B-factor

(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

(I-TASSER modeling starts from the structure templates identified by LOMETS from the PDB library. LOMETS is a meta-server threading approach containing multiple threading programs, where each threading program can generate tens of thousands of template alignments. I-TASSER only uses the templates of the highest significance in the threading alignments, the significance of which are measured by the Z-score, i.e. the difference between the raw and average scores in the unit of standard deviation. The templates in this section are the 10 best templates selected from the LOMETS threading programs. Usually, one template of the highest Z-score is selected from each threading program, where the threading programs are sorted by the average performance in the large-scale benchmark test experiments.)

Rank

PDB
Hit

Iden1

Iden2

Cov

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                 720                 740                 760                 780                 800
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Sec.Str
Seq

CCCSSSSSSSSSSSSSCCCCCCCCCCCHHHHHHHHCCCCCCCCCCCCCCCSSSSSSCCSSSSSSSSCCCCCCCCCCCSSSSSSCCCCCCSSSSSSSSCCCCCCCSSSSSSSSHHHHCCCCCCCCSSSSCCCCCCCCCCCCSSSSSSSSSSCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHCSSSSSSSSCCCCSSSSCCCCCCCCCCCCHHHHHHHHHHHCCCSSSSSSSCCCCHHHHHHCCCCCCCCCHHHHHHHHCCCCCSSSCCCCCCCCCHHSSCCCCCCCCCCCCSSSSSCCCCCCCCCCCCCCCSSSSSCCSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHCCCCCCCCCCSSSSSSSSSCHHHHHHHHHHHHHHHHHCCCCCCCCHHHCCCCCCCCCCCCCCCCCCCSSSSSSCCCCCCCCCCCCCCHHHHHHCCCCCCCCCCCCCHHHHHHHHHHHHHHHHSSSSCCCCCCHHHHCCCCCCCCCCCHHHHHHHHHHHHHHHHHHCCCCCCSSSSSSCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHSSSSCCCCCCCCCCCCCCCCCCCCCCCCHHHHHCCCCCCSSSSCCSSSSCCCSSSSCCCCCCCCCCCCCCCCCSSSSSSSCCCCCCCCCCHHHHHHHHHHHHHHHHCCCHHHHCCCCCHHHHHHHHHHHHHHHHHCCHHCCCCCCCCCHHHCCCCCCCCCCSSSCCCCSSCCCCCCCCCCCCCCCCCCCCCC
MEEFLLHGRLHATIYEVDCLHGEGGRSGFLGSILANVEETIGVGKGEAQLYATIDLEKARVGRTRKITKEPKNPKWYESFHIYCGHKARHVIFTVKDANPIGATLIGRGYVPVEDILHGEEVDRWVEILDNEKKPTAGGSKIHVKLQYFGVEKDKNWNRGIKSAKFPGVPYTFFSQRRGCKVSLYQDAHIPGNFVPKIPLAGGKNYEPNRCWEDIFDAITNAKHLIYITGWSVYTEISLVRDSRRPKQGGDVTIGELLKKKASEGVKVILLVWDDRTSVDLLKKDGLMATHDEETENFFRGTDVNCILCPRNPDDGGSIVQNLQISTMFTHHQKIVVVDSEMPSGGSRSRSRRIVSFVGGLDLCDGRYDTPFHSLFRTLDTAHHDDFHQPNFTGAAITKGGPREPWHDIHCRLEGPIAWDVLYNFEQRWRKQGGKDILVKMRDLGDIIIPPSPVLFSEDHDVWNVQLFRSIDGGAAAGFPDSPEAAAEAGLVSGKDNIIDRSIQDAYIHAIRRAKDFIYIENQYFLGSSFAWSADGIKPEEINALHLIPKELSLKIVSKIKAGERFKVYVVVPMWPEGIPESGSVQAILDWQRRTMEMMYKDVIKALREKGLEGEDPRDYLTFFCLGNREVKKDGEYEPSEKPEPDTDYIRAQEARRFMIYVHTKMMIVDDEYIIIGSANINQRSMDGARDSEIALGGYQPYHLSTRQPARGQIHGFRMSLWYEHLGMLDETFLDPSSQECIQKVNRVADKYWDLYSSESLEHDLPGHLLRYPIGIASEGNITELPGCEFFPDTKARILGARSDYMPPILTT

6kz8A

0.88

0.85

0.97

9.52

Download

-AQHLLHGTLHATIYEVDALHE-------------------------TQLYATIDLQKARVGRTRKIKNEPKNPKWYESFHIYCAHLASDIIFTVKDDNPIGATLIGRAYIPVDQVINGEEVDQWVEILDNDRNPIQGGSKIHVKLQYFHVEEDRNWNMGIKSAKFPGVPYTFFSQRQGCKVSLYQDAHIPDNFVPRIPLAGGKNYEPQRCWEDIFDAISNAKHLIYITGWSVYAEIALVRDSRRPKPGGDVTIGELLKKKASEGVRVLLLVWDDRTSVDVLKKDGLMATHDEETENFFRGSDVHCILCPRNPDDGGSIVQSLQISTMFTHHQKIVVVDSEMPSRG-GSEMRRIVSFVGGIDLCDGRYDTPFHSLFRTLDTVHHDDFHQPNFTGAAITKGGPREPWHDIHSRLEGPIAWDVMYNFEQRWSKQGGKDILVKLRDLSDIIITPSPVMFQEDHDVWNVQLFRSIDGGAAAGFPESPEAAAEAGLVSGKDNIIDRSIQDAYIHAIRRAKDFIYVENQYFLGSSFAWAADGITPEDINALHLIPKELSLKIVSKIEKGEKFRVYVVVPMWPEGLPESGSVQAILDWQRRTMEMMYKDVIQALRAQGLEE-DPRNYLTFFCLGNREVKKDGEYEPAEKPDPDTDYMRAQEARRFMIYVHTKMMIVDDEYIIIGSANINQRSMDGARDSEIAMGGYQPHHLSHRQPARGQIHGFRMSLWYEHLGMLDETFLDPSSLECIEKVNRISDKYWDFYSSESLEHDLPGHLLRYPIGVASEGDITELPGFEFFPDTKARILGTKSDYLPPILTT

7svpC

0.26

0.23

0.62

1.69

Download

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------LHRHDSYAPPRPGTLARWFVNAGYFAAVADAILRAQEEIFITDWWLSPEVYLKRPAH----SDDWRLDIMLKRKAEEGVRVSILLFKEVE--------LALGINSGYSKRALMLLHPNIKVMRHPDQVTLWA-----------HHEKLLVVDQV-------------VAFLGGLDLAYGRWDDLHYRLTDLNQFFITKDWVQLDRPFEDFRETTPRMPWRDVGVVVHGLPARDLARHFIQRWNFTKTTKAKYKTPTYPY--LLPKSTSLPGGQCTTVQVLRSVD-------------------RWSAGTL--ENSILNAYLHTIRESQHFLYIENQFFISCS-------------TVLNKVGDEIVDRILKAHKQGWCYRVYVLLPLGFEGDISTGSIQAILHFTYRTLCRGEYSILHRLKAAMWRDY-----ISICGLRTHGELGGH-------------------PVSELIYIHSKVLIADDRTVIIGSANINDRSLLGKRDSELAVLIEDTETEPSLMNAGRFALSLRKHCFGVILGANTRDLRDPICDDFFQLWQDMAESNANCLPSNATRSQVQGHLVHFPLKFLEDEGMIPLEVWT-----------------------

6kz8

0.88

0.85

0.97

5.39

Download

-AQHLLHGTLHATIYEVDALH------------------------E-TQLYATIDLQKARVGRTRKIKNEPKNPKWYESFHIYCAHLASDIIFTVKDDNPIGATLIGRAYIPVDQVINGEEVDQWVEILDNDRNPIQGGSKIHVKLQYFHVEEDRNWNMGIKSAKFPGVPYTFFSQRQGCKVSLYQDAHIPDNFVPRIPLAGGKNYEPQRCWEDIFDAISNAKHLIYITGWSVYAEIALVRDSRRPKPGGDVTIGELLKKKASEGVRVLLLVWDDRTSVDVLKKDGLMATHDEETENFFRGSDVHCILCPRNPDDGGSIVQSLQISTMFTHHQKIVVVDSEMPSRGG-SEMRRIVSFVGGIDLCDGRYDTPFHSLFRTLDTVHHDDFHQPNFTGAAITKGGPREPWHDIHSRLEGPIAWDVMYNFEQRWSKQGGKDILVKLRDLSDIIITPSPVMFQEDHDVWNVQLFRSIDGGAAAGFPESPEAAAEAGLVSGKDNIIDRSIQDAYIHAIRRAKDFIYVENQYFLGSSFAWAADGITPEDINALHLIPKELSLKIVSKIEKGEKFRVYVVVPMWPEGLPESGSVQAILDWQRRTMEMMYKDVIQALRAQGL-EEDPRNYLTFFCLGNREVKKDGEYEPAEKPDPDTDYMRAQEARRFMIYVHTKMMIVDDEYIIIGSANINQRSMDGARDSEIAMGGYQPHHLSHRQPARGQIHGFRMSLWYEHLGMLDETFLDPSSLECIEKVNRISDKYWDFYSSESLEHDLPGHLLRYPIGVASEGDITELPGFEFFPDTKARILGTKSDYLPPILTT

6kz8

0.88

0.85

0.97

3.90

Download

-AQHLLHGTLHATIYEVDALHE-------------------------TQLYATIDLQKARVGRTRKIKNEPKNPKWYESFHIYCAHLASDIIFTVKDDNPIGATLIGRAYIPVDQVINGEEVDQWVEILDNDRNPIQGGSKIHVKLQYFHVEEDRNWNMGIKSAKFPGVPYTFFSQRQGCKVSLYQDAHIPDNFVPRIPLAGGKNYEPQRCWEDIFDAISNAKHLIYITGWSVYAEIALVRDSRRPKPGGDVTIGELLKKKASEGVRVLLLVWDDRTSVDVLKKDGLMATHDEETENFFRGSDVHCILCPRNPDDGGSIVQSLQISTMFTHHQKIVVVDSEMPSRGG-SEMRRIVSFVGGIDLCDGRYDTPFHSLFRTLDTVHHDDFHQPNFTGAAITKGGPREPWHDIHSRLEGPIAWDVMYNFEQRWSKQGGKDILVKLRDLSDIIITPSPVMFQEDHDVWNVQLFRSIDGGAAAGFPESPEAAAEAGLVSGKDNIIDRSIQDAYIHAIRRAKDFIYVENQYFLGSSFAWAADGITPEDINALHLIPKELSLKIVSKIEKGEKFRVYVVVPMWPEGLPESGSVQAILDWQRRTMEMMYKDVIQALRAQGLE-EDPRNYLTFFCLGNREVKKDGEYEPAEKPDPDTDYMRAQEARRFMIYVHTKMMIVDDEYIIIGSANINQRSMDGARDSEIAMGGYQPHHLSHRQPARGQIHGFRMSLWYEHLGMLDETFLDPSSLECIEKVNRISDKYWDFYSSESLEHDLPGHLLRYPIGVASEGDITELPGFEFFPDTKARILGTKSDYLPPILTT

6kz8A

0.88

0.85

0.97

7.55

Download

-AQHLLHGTLHATIYEVDALH-------------------------ETQLYATIDLQKARVGRTRKIKNEPKNPKWYESFHIYCAHLASDIIFTVKDDNPIGATLIGRAYIPVDQVINGEEVDQWVEILDNDRNPIQGGSKIHVKLQYFHVEEDRNWNMGIKSAKFPGVPYTFFSQRQGCKVSLYQDAHIPDNFVPRIPLAGGKNYEPQRCWEDIFDAISNAKHLIYITGWSVYAEIALVRDSRRPKPGGDVTIGELLKKKASEGVRVLLLVWDDRTSVDVLKKDGLMATHDEETENFFRGSDVHCILCPRNPDDGGSIVQSLQISTMFTHHQKIVVVDSEMPSRGGS-EMRRIVSFVGGIDLCDGRYDTPFHSLFRTLDTVHHDDFHQPNFTGAAITKGGPREPWHDIHSRLEGPIAWDVMYNFEQRWSKQGGKDILVKLRDLSDIIITPSPVMFQEDHDVWNVQLFRSIDGGAAAGFPESPEAAAEAGLVSGKDNIIDRSIQDAYIHAIRRAKDFIYVENQYFLGSSFAWAADGITPEDINALHLIPKELSLKIVSKIEKGEKFRVYVVVPMWPEGLPESGSVQAILDWQRRTMEMMYKDVIQALRAQGLEE-DPRNYLTFFCLGNREVKKDGEYEPAEKPDPDTDYMRAQEARRFMIYVHTKMMIVDDEYIIIGSANINQRSMDGARDSEIAMGGYQPHHLSHRQPARGQIHGFRMSLWYEHLGMLDETFLDPSSLECIEKVNRISDKYWDFYSSESLEHDLPGHLLRYPIGVASEGDITELPGFEFFPDTKARILGTKSDYLPPILTT

6kz8

0.88

0.85

0.96

6.49

Download

-AQHLLHGTLHATIYEVDALHE-------------------------TQLYATIDLQKARVGRTRKIKNEPKNPKWYESFHIYCAHLASDIIFTVKDDNPIGATLIGRAYIPVDQVINGEEVDQWVEILDNDRNPIQGGSKIHVKLQYFHVEEDRNWNMGIKSAKFPGVPYTFFSQRQGCKVSLYQDAHIPDNFVPRIPLAGGKNYEPQRCWEDIFDAISNAKHLIYITGWSVYAEIALVRDSRRPKPGGDVTIGELLKKKASEGVRVLLLVWDDRTSVDVLKKDGLMATHDEETENFFRGSDVHCILCPRNPDDGGSIVQSLQISTMFTHHQKIVVVDSEMPSRGG-SEMRRIVSFVGGIDLCDGRYDTPFHSLFRTLDTVHHDDFHQPNFTGAAITKGGPREPWHDIHSRLEGPIAWDVMYNFEQRWSKQGGKDILVKLRDLSDIIITPSPVMFQEDHDVWNVQLFRSIDGGAAAGFPESPEAAAEAGLVSGKDNIIDRSIQDAYIHAIRRAKDFIYVENQYFLGSSFAWAADGITPEDINALHLIPKELSLKIVSKIEKGEKFRVYVVVPMWPEGLPESGSVQAILDWQRRTMEMMYKDVIQALRAQGLE-EDPRNYLTFFCLGNREVKKDGEYEPAEKPDPDTDYMRAQEARRFMIYVHTKMMIVDDEYIIIGSANINQRSMDGARDSEIAMGGYQPHHLSHRQPARGQIHGFRMSLWYEHLGMLDETFLDPSSLECIEKVNRISDKYWDFYSSESLEHDLPGHLLRYPIGVASEGDITELPGFEFFPDTKARILGTKSDYLPPILT-

3hsiA

0.17

0.14

0.48

1.88

Download

------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------NNLPFLALQAEQLGSSAEFKTQIIELIRNAKKRIYVTALYW----------QKDEAGQEILDEIYRVKQENPHLDVKVLIDWHRAQRNLLATNADWYCEQRQTYQLPDDPNMFFGVPINTREVFGVLHV------------KGFVFD-------------DTVLYSGASINNVYLHQFEKY--------------------------------RYDRYQKITHAELADSMVNFINDY------------------LLDFSAVYPLDVTNRP----RTKEIRGNIRAYRKDLAQNGEYSLKSAVKLPNVNELNQVIEDLFLQVQKKLVICTPYFNFP---------------------RTLQHKIATLLE--NGKRVEIIVGDKPEQPFK----------MAGALPYLYESNLRRFCEKF------------------------------ETQIESGQLVVRLWRDGDNTYHLKGVWVDDRYILLTGNNLNPRAWRL--DAENGLLIYDPQQLEELNQYPEPVQKLLKKFARIKADKLVKMIL------------------------------------------------------------------------------

6kz8A

0.88

0.85

0.97

3.42

Download

-AQHLLHGTLHATIYEVDALHE-------------------------TQLYATIDLQKARVGRTRKIKNEPKNPKWYESFHIYCAHLASDIIFTVKDDNPIGATLIGRAYIPVDQVINGEEVDQWVEILDNDRNPIQGGSKIHVKLQYFHVEEDRNWNMGIKSAKFPGVPYTFFSQRQGCKVSLYQDAHIPDNFVPRIPLAGGKNYEPQRCWEDIFDAISNAKHLIYITGWSVYAEIALVRDSRRPKPGGDVTIGELLKKKASEGVRVLLLVWDDRTSVDVLKKDGLMATHDEETENFFRGSDVHCILCPRNPDDGGSIVQSLQISTMFTHHQKIVVVDSEMPSRGG-SEMRRIVSFVGGIDLCDGRYDTPFHSLFRTLDTVHHDDFHQPNFTGAAITKGGPREPWHDIHSRLEGPIAWDVMYNFEQRWSKQGGKDILVKLRDLSDIIITPSPVMFQEDHDVWNVQLFRSIDGGAAAGFPESPEAAAEAGLVSGKDNIIDRSIQDAYIHAIRRAKDFIYVENQYFLGSSFAWAADGITPEDINALHLIPKELSLKIVSKIEKGEKFRVYVVVPMWPEGLPESGSVQAILDWQRRTMEMMYKDVIQALRAQGLE-EDPRNYLTFFCLGNREVKKDGEYEPAEKPDPDTDYMRAQEARRFMIYVHTKMMIVDDEYIIIGSANINQRSMDGARDSEIAMGGYQPHHLSHRQPARGQIHGFRMSLWYEHLGMLDETFLDPSSLECIEKVNRISDKYWDFYSSESLEHDLPGHLLRYPIGVASEGDITELPGFEFFPDTKARILGTKSDYLPPILTT

7svpC

0.26

0.23

0.65

2.76

Download

L-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------HRHDSYAPPRPGTLARWFVNAGYFAAVADAILRAQEEIFITDWWLSPEVYLKRPA----HSDDWRLDIMLKRKAEEGVRVSILLFKE--------VELALGINSGYSKRALMLLHPNIKVMRHPDQVTL-----------WAHHEKLLVVDQV-------------VAFLGGLDLAYGRWDDLHYRLTDLGLSHNQFFWLDRPFEDFIDRETTPRMPWRDVGVVVHGLPARDLARHFIQRWNFTKTT---KAKYKTPTYPYLLPKSTSLPGGQCTTVQVLRSVDR--------------------WSAGTLENSILNAYLHTIRESQHFLYIENQFFISCSTVLNK-------------VGDEIVDRILKAHKQGWCYRVYVLLPLLPGFEGGGNSIQAILHFTYRTLCRGEYSILHRLKAA--MGTAWRDYISICGLRTHGELGGHPV-------------------SELIYIHSKVLIADDRTVIIGSANINDRSLLGKRDSELAVLIEDTETEPSLMNGARFALSLRKHCFGVILGANTRPLRDPICDDFFQLWQDMAESNANIY--EQIFRCLPSNATRSLRTLREYVAVEPLATVSHFPLK----FLEDEGMIPLEVWT

6kz8A

0.88

0.85

0.97

13.10

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-AQHLLHGTLHATIYEVDALHE-------------------------TQLYATIDLQKARVGRTRKIKNEPKNPKWYESFHIYCAHLASDIIFTVKDDNPIGATLIGRAYIPVDQVINGEEVDQWVEILDNDRNPIQGGSKIHVKLQYFHVEEDRNWNMGIKSAKFPGVPYTFFSQRQGCKVSLYQDAHIPDNFVPRIPLAGGKNYEPQRCWEDIFDAISNAKHLIYITGWSVYAEIALVRDSRRPKPGGDVTIGELLKKKASEGVRVLLLVWDDRTSVDVLKKDGLMATHDEETENFFRGSDVHCILCPRNPDDGGSIVQSLQISTMFTHHQKIVVVDSEMPS-RGGSEMRRIVSFVGGIDLCDGRYDTPFHSLFRTLDTVHHDDFHQPNFTGAAITKGGPREPWHDIHSRLEGPIAWDVMYNFEQRWSKQGGKDILVKLRDLSDIIITPSPVMFQEDHDVWNVQLFRSIDGGAAAGFPESPEAAAEAGLVSGKDNIIDRSIQDAYIHAIRRAKDFIYVENQYFLGSSFAWAADGITPEDINALHLIPKELSLKIVSKIEKGEKFRVYVVVPMWPEGLPESGSVQAILDWQRRTMEMMYKDVIQALRAQGLEE-DPRNYLTFFCLGNREVKKDGEYEPAEKPDPDTDYMRAQEARRFMIYVHTKMMIVDDEYIIIGSANINQRSMDGARDSEIAMGGYQPHHLSHRQPARGQIHGFRMSLWYEHLGMLDETFLDPSSLECIEKVNRISDKYWDFYSSESLEHDLPGHLLRYPIGVASEGDITELPGFEFFPDTKARILGTKSDYLPPILTT

(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: FFAS-3D 2: SPARKS-X 3: HHSEARCH2 4: HHSEARCH I 5: Neff-PPAS 6: HHSEARCH 7: pGenTHREADER 8: wdPPAS 9: PROSPECT2 10: SP3

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 a higher value signifies a model with a higher 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.)

(By right-click on the images, you can export image file or change the configurations, e.g. modifying the background color or stopping the spin of your models)

Download Model 1 C-score=1.11 (Read more about C-score) Estimated TM-score = 0.87±0.07 Estimated RMSD = 5.9±3.7Å	Download Model 2 C-score = -1.11	Download Model 3 C-score = -3.93	Download Model 4 C-score = -4.24	Download Model 5 C-score = -4.04

Proteins structurally close to the target in the 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	Alignment
1	6kz8A	0.965	0.21	0.884	0.966	Download
2	7v53A	0.619	3.57	0.251	0.674	Download
3	6ohrA	0.588	2.81	0.276	0.624	Download
4	6ohmA	0.579	2.67	0.274	0.611	Download
5	2ze9A	0.458	4.68	0.137	0.533	Download
6	1f0iA	0.449	4.88	0.142	0.527	Download
7	7wu1A	0.435	4.79	0.162	0.506	Download
8	3hsiB	0.428	4.03	0.138	0.488	Download
9	8q1kA	0.414	4.16	0.109	0.467	Download
10	8v08A	0.392	3.77	0.088	0.435	Download

(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 COFACTOR and COACH

(This section reports biological annotations of the target protein by COFACTOR and COACH based on the I-TASSER structure prediction. While COFACTOR deduces protein functions (ligand-binding sites, EC and GO) using structure comparison and protein-protein networks, COACH is a meta-server approach that combines multiple function annotation results (on ligand-binding sites) 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	0.21	11	1v0uA	PO3	Rep, Mult	231,332,334,362,663,665,680
2	0.04	2	1j7lA	MG	N/A	680,691
3	0.04	2	2jigA	ZN	N/A	331,339,407
4	0.04	2	2ZE9A	2ZE9A01	Rep, Mult	231,328,329,330,332,523,663,665,680,684,691,810,811
5	0.02	1	2fhcA	GLC	Rep, Mult	227,357

	Download the residue-specific ligand binding probability, which is estimated by SVM.
	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	0.231	2ze4A	0.456	4.66	0.141	0.530	3.1.4.4	NA
2	0.230	2ze9A	0.458	4.68	0.137	0.533	3.1.4.4	NA
3	0.225	1f0iA	0.449	4.88	0.142	0.527	3.1.4.4	NA
4	0.221	3hsiB	0.428	4.03	0.138	0.488	2.7.8.8	NA
5	0.181	2fhcA	0.339	8.38	0.042	0.536	3.2.1.41	362

	Click on the radio buttons to visualize predicted active site residues.
(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
Top 10 homologous GO templates in PDB
1	0.23	0.4578	4.68	0.14	0.53	2ze9A	GO:0004630 GO:0005576 GO:0016042 GO:0016787 GO:0070290 GO:0003824 GO:0008152
2	0.22	0.4492	4.88	0.14	0.53	1f0iA	GO:0004630 GO:0008152 GO:0070290 GO:0003824
3	0.22	0.4281	4.03	0.14	0.49	3hsiB	GO:0005737 GO:0003882 GO:0016740 GO:0016020 GO:0005886 GO:0008654 GO:0003824 GO:0008152 GO:0016780
4	0.18	0.3740	4.92	0.10	0.45	1qzqA	GO:0005634 GO:0006281 GO:0008081
5	0.18	0.3352	8.55	0.04	0.54	2fhbA	GO:0003824 GO:0004553 GO:0005975 GO:0030246 GO:0043169 GO:0051060 GO:0016798 GO:0016787 GO:0016020 GO:0005886 GO:0008152
6	0.18	0.3510	4.48	0.09	0.40	1xdoA	GO:0000166 GO:0005515 GO:0016020 GO:0016301 GO:0005524 GO:0008976 GO:0005886 GO:0016740 GO:0005829 GO:0016310 GO:0003824 GO:0006799 GO:0008152 GO:0009358
7	0.17	0.3312	3.84	0.07	0.37	2o8rA	GO:0005524 GO:0016301 GO:0016310 GO:0008976 GO:0000166 GO:0016740 GO:0006799 GO:0009358
8	0.17	0.2981	8.18	0.03	0.46	2vdcA	GO:0006541 GO:0051538 GO:0051536 GO:0055114 GO:0004355 GO:0008652 GO:0046872 GO:0006537 GO:0016491 GO:0003824 GO:0006807 GO:0008152 GO:0015930
9	0.16	0.3073	8.68	0.05	0.50	2x2hA	GO:0016829 GO:0047457 GO:0004553 GO:0005975
10	0.16	0.2950	8.56	0.04	0.47	2y5eA	GO:0003824 GO:0004553 GO:0005975 GO:0043169 GO:0051060

Consensus prediction of GO terms

Molecular Function GO:0017169 GO:0070290 GO:0004630 GO:0043167

GO-Score 0.44 0.40 0.40 0.36

Biological Process GO:0009056 GO:0044249 GO:0006644 GO:0090304 GO:0044260 GO:0033554

GO-Score 0.46 0.44 0.44 0.37 0.37 0.37

Cellular Component GO:0043231 GO:0005886

GO-Score 0.37 0.36

(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 S776137_results.tar.bz2 to download the tarball file including all modeling results listed on this page]

Please cite the following articles when you use the I-TASSER server:

Wei Zheng, Chengxin Zhang, Yang Li, Robin Pearce, Eric W. Bell, Yang Zhang. Folding non-homology proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. Cell Reports Methods, 1: 100014 (2021).
Chengxin Zhang, Peter L. Freddolino, and Yang Zhang. COFACTOR: improved protein function prediction by combining structure, sequence and protein-protein interaction information. Nucleic Acids Research, 45: W291-299 (2017).
Jianyi Yang, Yang Zhang. I-TASSER server: new development for protein structure and function predictions, Nucleic Acids Research, 43: W174-W181, 2015.