I-TASSER results

I-TASSER results for job id Rv0584

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

Input Sequence in FASTA format

>protein (877 residues)
MRARRLRRALAALLAVAGLFVPFIVGVPTAYDGEPVFVAIPVEHVNTLIGTGTGAAIVGE
INNFPGASVPFGMVQYSPDTVDNYAGYDYDNPHSTGFSMTHASVGCPAFGDISMLPTTTP
LGSQPWSAWEEIAHDDTEVGVPGYYTVRFPGTGVIAELTATTRTGVGRFRYPRNGWPALF
HVRSGASLAGNYAATLQIEDNTTITGSATSGGFCGKKNLYTVYFAMKFSQPFSSYGTWDG
YAVYPGSHSMNSSYSGGYVGFPAGSVLEVRTALSYVSVDGARANLDAEGGASFDDIRAAT
SSEWNAALSRIAVAGRGPGDVDTFYTCLYRSLLHPNTFNDVDGRYIGFDGVIHSVASGHT
HYANFSDWDTYRSLAPLQGLLFPQRASDMIQSLVTDAEQSGAYPRWALANSATGMMSGDS
VVPLIVNLYAFGARDFDLKSALHYMVNAATQGGVGLDGFLERPGIAAYLRLGYGPQTAEF
RANGRIAGASVTLEWSVDDFAISRFADSLGDTATAAVFQNRSQYWQNLFNPTTGYISPRS
AAGFFPDGPGFVAYPSGFGQDGYDEGNAEQYLWWVPHNVAGLVTALGGRTAVVKRLDRFT
KKLNVGPNEPYLWAGNEPGFGVPWLYNYIGQPWKTQRTVDRVRGLFGPTPGGAPGNDDLG
ALSSWYVWAALGLYPSTPGTTILTVNTPLFDRAVIALPTGKSIQITAPGASGRNRLKYID
GLTIDRQPSNQTFLPESIVRTGGDLTFSLAGTPNKVWGTAASAAPPSFGAGSSAVTVNIA
RPIIGIVPGATGTVTVDAQRMIDGVDDYTVTPTSYVVGIAAEPLSGQFDDDGAVSASVAI
TVARSVPSGYYPIYVTTSAGDSARTLIVLVVVAEAVE

Predicted Secondary Structure

Sequence	20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 620 640 660 680 700 720 740 760 780 800 820 840 860 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| MRARRLRRALAALLAVAGLFVPFIVGVPTAYDGEPVFVAIPVEHVNTLIGTGTGAAIVGEINNFPGASVPFGMVQYSPDTVDNYAGYDYDNPHSTGFSMTHASVGCPAFGDISMLPTTTPLGSQPWSAWEEIAHDDTEVGVPGYYTVRFPGTGVIAELTATTRTGVGRFRYPRNGWPALFHVRSGASLAGNYAATLQIEDNTTITGSATSGGFCGKKNLYTVYFAMKFSQPFSSYGTWDGYAVYPGSHSMNSSYSGGYVGFPAGSVLEVRTALSYVSVDGARANLDAEGGASFDDIRAATSSEWNAALSRIAVAGRGPGDVDTFYTCLYRSLLHPNTFNDVDGRYIGFDGVIHSVASGHTHYANFSDWDTYRSLAPLQGLLFPQRASDMIQSLVTDAEQSGAYPRWALANSATGMMSGDSVVPLIVNLYAFGARDFDLKSALHYMVNAATQGGVGLDGFLERPGIAAYLRLGYGPQTAEFRANGRIAGASVTLEWSVDDFAISRFADSLGDTATAAVFQNRSQYWQNLFNPTTGYISPRSAAGFFPDGPGFVAYPSGFGQDGYDEGNAEQYLWWVPHNVAGLVTALGGRTAVVKRLDRFTKKLNVGPNEPYLWAGNEPGFGVPWLYNYIGQPWKTQRTVDRVRGLFGPTPGGAPGNDDLGALSSWYVWAALGLYPSTPGTTILTVNTPLFDRAVIALPTGKSIQITAPGASGRNRLKYIDGLTIDRQPSNQTFLPESIVRTGGDLTFSLAGTPNKVWGTAASAAPPSFGAGSSAVTVNIARPIIGIVPGATGTVTVDAQRMIDGVDDYTVTPTSYVVGIAAEPLSGQFDDDGAVSASVAITVARSVPSGYYPIYVTTSAGDSARTLIVLVVVAEAVE
Prediction	CCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEEEEHCCCCCCCCCCCCCCEEEEEEEHCCCCCCCCCCCEEEEEEHCCCCCCCCCCCCCCCCCCCCEEHCEEEEEEHCCCCCEEEEEHCCCEEEEEEEHCCCCCCEEEEHCCCCCCCCCEEEEEEEHCCCEEEEEEEHCCCCCCCCCEEEEEEEEHCCCCEEEEEEHCCCCCCCCCEHCCCEEEEEEEHCCCCEEEEEEEEEHCCHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHCCEEEHCCCHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEHCCHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHCCCCCCHHHHHHHHHHHCCCCCCCCCCCCCCCCHHHHHHHCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEEEHCCCCCHHHHHHHHCCHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCHHHHHHHHHCCCHHHHHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHCCCCCCCCCCEEEEHCCCCCEEEEHCCCCCEEEEEHCCCCCCCCCCEEEEEEHCCEHCCCCCCCHHHHHHCCEEEEEHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEEEHCCCCCCCCCCCEEEHCCCCCCCCCCCCEEEEHCCCCCEEEEEEHCCCCCCCCCCEEEEEEHCCCCCCEEEEEEEEHCCCCC
Conf.Score	9886578999999999999999999876556777766678555457876789998888899888877789876588755799999988879968999865578888888886775555788888865444668877667766589999877797899985686699999858999976999867888887555899998897999999988988899875899999978986567777688557886454556499999968998899999975569999999999768999999999999999999874898789999999999999999858887678999888999887557898777777655345678999999868588999999999999998999988888988888888866899999999889899999999999997688999988888887589999989988988888888765688899998869999999999899999999999998888755766688777889998899999877888888898878886456656888999999998998999999999985888899887667777776578999887588789999999999985899999999988757899999999888788999988999588898899997999899999868987668756899999997668898789998759599999956788777888888999888888888777888766677888657887677776777766775678888887765568876888578777655677777776568998568887556789999668899
	H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

Sequence	20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 620 640 660 680 700 720 740 760 780 800 820 840 860 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| MRARRLRRALAALLAVAGLFVPFIVGVPTAYDGEPVFVAIPVEHVNTLIGTGTGAAIVGEINNFPGASVPFGMVQYSPDTVDNYAGYDYDNPHSTGFSMTHASVGCPAFGDISMLPTTTPLGSQPWSAWEEIAHDDTEVGVPGYYTVRFPGTGVIAELTATTRTGVGRFRYPRNGWPALFHVRSGASLAGNYAATLQIEDNTTITGSATSGGFCGKKNLYTVYFAMKFSQPFSSYGTWDGYAVYPGSHSMNSSYSGGYVGFPAGSVLEVRTALSYVSVDGARANLDAEGGASFDDIRAATSSEWNAALSRIAVAGRGPGDVDTFYTCLYRSLLHPNTFNDVDGRYIGFDGVIHSVASGHTHYANFSDWDTYRSLAPLQGLLFPQRASDMIQSLVTDAEQSGAYPRWALANSATGMMSGDSVVPLIVNLYAFGARDFDLKSALHYMVNAATQGGVGLDGFLERPGIAAYLRLGYGPQTAEFRANGRIAGASVTLEWSVDDFAISRFADSLGDTATAAVFQNRSQYWQNLFNPTTGYISPRSAAGFFPDGPGFVAYPSGFGQDGYDEGNAEQYLWWVPHNVAGLVTALGGRTAVVKRLDRFTKKLNVGPNEPYLWAGNEPGFGVPWLYNYIGQPWKTQRTVDRVRGLFGPTPGGAPGNDDLGALSSWYVWAALGLYPSTPGTTILTVNTPLFDRAVIALPTGKSIQITAPGASGRNRLKYIDGLTIDRQPSNQTFLPESIVRTGGDLTFSLAGTPNKVWGTAASAAPPSFGAGSSAVTVNIARPIIGIVPGATGTVTVDAQRMIDGVDDYTVTPTSYVVGIAAEPLSGQFDDDGAVSASVAITVARSVPSGYYPIYVTTSAGDSARTLIVLVVVAEAVE
Prediction	6443301100000000000000000000112445444343002000000001133323120000000000000000000012110002032310100000000110000000000000030544445312220345413010000001044240300000010000000102464311000000001244323030313562101010101111344420000000101330331010344423544442413200000204543302010000000141034006503622044015403520462044040535446212201000000000001001432301121342343454321000000000000000000000042023003000200340010020110121110000010000000000120350106200400130013222324312112004203410000123424443221000000000000000000033044361052026003102100145002000113404024313111012211110000111000000000005100410334620151024002312102111100000000000000000012012003003202620222120000000000000000000001000100312000000203401030663230203043226733210021020234404321020400250030202033313421113241101212344411334133332323433414121434433523231011113213313232142114363324142424323314411110102043443422010102125458
	Values range from 0 (buried residue) to 8 (highly exposed residue)

Predicted Normalized B-facotr

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

Top 10 threading templates used by I-TASSER

Rank

PDB
Hit

Iden1

Iden2

Cov

Norm.
Zscore

Download
Align.

                  20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220                 240                 260                 280                 300                 320                 340                 360                 380                 400                 420                 440                 460                 480                 500                 520                 540                 560                 580                 600                 620                 640                 660                 680                 700                 720                 740                 760                 780                 800                 820                 840                 860

                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |

Sec.Str
Seq

CCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEEEEHCCCCCCCCCCCCCCEEEEEEEHCCCCCCCCCCCEEEEEEHCCCCCCCCCCCCCCCCCCCCEEHCEEEEEEHCCCCCEEEEEHCCCEEEEEEEHCCCCCCEEEEHCCCCCCCCCEEEEEEEHCCCEEEEEEEHCCCCCCCCCEEEEEEEEHCCCCEEEEEEHCCCCCCCCCEHCCCEEEEEEEHCCCCEEEEEEEEEHCCHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHCCEEEHCCCHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEHCCHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHCCCCCCHHHHHHHHHHHCCCCCCCCCCCCCCCCHHHHHHHCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEEEHCCCCCHHHHHHHHCCHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCHHHHHHHHHCCCHHHHHHHHHHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHCCCCCCCCCCEEEEHCCCCCEEEEHCCCCCEEEEEHCCCCCCCCCCEEEEEEHCCEHCCCCCCCHHHHHHCCEEEEEHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCEEEHCCCCCCCCCCCEEEHCCCCCCCCCCCCEEEEHCCCCCEEEEEEHCCCCCCCCCCEEEEEEHCCCCCCEEEEEEEEHCCCCC
MRARRLRRALAALLAVAGLFVPFIVGVPTAYDGEPVFVAIPVEHVNTLIGTGTGAAIVGEINNFPGASVPFGMVQYSPDTVDNYAGYDYDNPHSTGFSMTHASVGCPAFGDISMLPTTTPLGSQPWSAWEEIAHDDTEVGVPGYYTVRFPGTGVIAELTATTRTGVGRFRYPRNGWPALFHVRSGASLAGNYAATLQIEDNTTITGSATSGGFCGKKNLYTVYFAMKFSQPFSSYGTWDGYAVYPGSHSMNSSYSGGYVGFPAGSVLEVRTALSYVSVDGARANLDAEGGASFDDIRAATSSEWNAALSRIAVAGRGPGDVDTFYTCLYRSLLHPNTFNDVDGRYIGFDGVIHSVASGHTHYANFSDWDTYRSLAPLQGLLFPQRASDMIQSLVTDAEQSGAYPRWALANSATGMMSGDSVVPLIVNLYAFGARDFDLKSALHYMVNAATQGGVGLDGFLERPGIAAYLRLGYGPQTAEFRANGRIAGASVTLEWSVDDFAISRFADSLGDTATAAVFQNRSQYWQNLFNPTTGYISPRSAAGFFPDGPGFVAYPSGFGQDGYDEGNAEQYLWWVPHNVAGLVTALGGRTAVVKRLDRFTKKLNVGPNEPYLWAGNEPGFGVPWLYNYIGQPWKTQRTVDRVRGLFGPTPGGAPGNDDLGALSSWYVWAALGLYPSTPGTTILTVNTPLFDRAVIALPTGKSIQITAPGASGRNRLKYIDGLTIDRQPSNQTFLPESIVRTGGDLTFSLAGTPNKVWGTAASAAPPSFGAGSSAVTVNIARPIIGIVPGATGTVTVDAQRMIDGVDDYTVTPTSYVVGIAAEPLSGQFDDDGAVSASVAITVARSVPSGYYPIYVTTSAGDSARTLIVLVVVAEAVE

2ww2A

0.29

0.24

0.81

4.28

MUSTER

----------------------------------SKKTVEFVDYVNPLMGTESTFA-FSHGNTYPAVAVPWGMNFWSPQTGENGWMYTYTDSLMRGFRQTHQPPWINDYGTFSIMPLAGELKMSHKE-RLVPFSHQQEKATPYNYSVTF-NNGLQTSLSATSRGAVFEVSFPEKEDQYVVVDAYNGG------SSITIEEKRLVKGATRYNNGGVPDN-FANYFMMEFSHPVIEYGTYNGDTLLHHQTDVAADYTCAYLKFPAGEKLTIRTASSFISPEQAAINFNREADADVQLISGKAREQWNNYLGRVEAEGGTDEQLRTFYSCLYRTLLFPREFYEFDSQGVYYSPYDGNVHDGY-MYTDNGFWDTFRAVHPLFTLLYPEVSERVTQSIINAYNESGFMPEWASPG-HRGCMIGNNSVSLLVDAWMKGIQTVDAEKALEAMIHQTQARHAEI-ASVGRDGFEYYDKLGYVPYP------EVPEATAKTLEYAYADWCIARFAESLGKQDIADQYYQKAPNYRNLYYPEHGFMWTKDAKGNWRDRFDA-----TEWGGPFTEGSSWHWTWSVFHDPEGLSELMGGHEPMIARLDSMFVAPNTALNMGQYAHGNQPVQHAIYLYDYIGQPWKTQYHLRNVMDKLNSGSKGYCGDEDNGQTSAWYVFSAMGFYPVCPGMPEYAIGSPLFKKVTLHLPEGKNFVVSAADNAADR--PYIRKALLNGQEFTRNYLTHDELKQGGELNLSMDSVPNQQRGTQPADFPYSYSK-----------------------------------------------------------------------------------------------------------

2ww2A

0.29

0.23

0.81

7.70

dPPAS

----------------------------------SKKTVEFVDYVNPLMGTESTFAF-SHGNTYPAVAVPWGMNFWSPQTGENGSMYTYTDSLMRGFRQTHQPPWINDYGTFSIMPLAGELKMSHKE-RLVPFSHQQEKATPYNYSVTF-NNGLQTSLSATSRGAVFEVSFPEKEDQYVVVDAYNGG-----SSITIEPEKRLVKGATRYNNGGVPD-NFANYFMMEFSHPVIEYGTYNGDTLLHHQTDVAADYTCAYLKFPAGEKLTIRTASSFISPEQAAINFNREADADVQLISGKAREQWNNYLGRVEAEGGTDEQLRTFYSCLYRTLLFPREFYEFDSQGNYYSPYDGNVHDGY-MYTDNGFWDTFRAVHPLFTLLYPEVSERVTQSIINAYNESGFMPEWASPG-HRGCMIGNNSVSLLVDAWMKGIQTVDAEKALEAMIHQTQARHAEI-ASVGRDGFEYYDKLGYVPYP------EVPEATAKTLEYAYADWCIARFAESLGKQDIADQYYQKAPNYRNLYYPEHGFMWTKDAKGNWRDRFDA-----TEWGGPFTEGSSWHWTWSVFHDPEGLSELMGGHEPMIARLDSMFVAPNTYNYMGQYAHGNQPVQHAIYLYDYIGQPWKTQYHLRNVMDKLNSGSKGYCGDEDNGQTSAWYVFSAMGFYPVCPGMPEYAIGSPLFKKVTLHLPEGKNFVVSAADNAADR--PYIRKALLNGQEFTRNYLTHDELKQGGELNLSMDSVPNQQRGTQPADFPYSYSK-----------------------------------------------------------------------------------------------------------

2ww2A

0.29

0.23

0.81

8.68

wdPPAS

----------------------------------SKKTVEFVDYVNPLMGTESTFAF-SHGNTYPAVAVPWGMNFWSPQTGGSGWMYTYTDSLMRGFRQTHQPSWINDYGTFSIMPLAGELKMSH-KERLVPFSHQQEKATPYNYSVTF-NNGLQTSLSATSRGAVFEVSFPEKEDQYVVVDAYNGG------SSITIEEKRLVKGATRYNNGGVPD-NFANYFMMEFSHPVIEYGTYNGDTLLHHQTDVAADYTCAYLKFPAGEKLTIRTASSFISPEQAAINFNREADADVQLISGKAREQWNNYLGRVEAEGGTDEQLRTFYSCLYRTLLFPREFYEFDSQGNPVYYSPYDGNHDGYMYTDNGFWDTFRAVHPLFTLLYPEVSERVTQSIINAYNESGFMPEWASPG-HRGCMIGNNSVSLLVDAWMKGIQTVDAEKALEAMIHQTQARHAE-IASVGRDGFEYYDKLGYVPYP------EVPEATAKTLEYAYADWCIARFAESLGKQDIADQYYQKAPNYRNLYYPEHGFMWTKDAKGNWRDRFDAT-----EWGGPFTEGSSWHWTWSVFHDPEGLSELMGGHEPMIARLDSMFVAPNTYNYMGQYAHGNQPVQHAIYLYDYIGQPWKTQYHLRNVMDKLNSGSKGYCGDEDNGQTSAWYVFSAMGFYPVCPGMPEYAIGSPLFKKVTLHLPEGKNFVVSAADNAADR--PYIRKALLNGQEFTRNYLTHDELKQGGELNLSMDSVPNQQRGTQPADFPYSYSK-----------------------------------------------------------------------------------------------------------

2ww2A

0.29

0.24

0.81

5.03

wMUSTER

-----------------------------------KKTVEFVDYVNPLMGTESTFA-FSHGNTYPAVAVPWGMNFWSPQTGENGWMYTYTDSLMRGFRQTHQPSWINDYGTFSIMPLAGELKMSHKE-RLVPFSHQQEKATPYNYSVTF-NNGLQTSLSATSRGAVFEVSFPEKEDQYVVVDAYNG------GSSITIEEKRLVKGATRYNNGGVPDN-FANYFMMEFSHPVIEYGTYNGDTLLHHQTDVAADYTCAYLKFPAGEKLTIRTASSFISPEQAAINFNREADADVQLISGKAREQWNNYLGRVEAEGGTDEQLRTFYSCLYRTLLFPREFYEFDSQGNPYSPYDGNVHDGY-MYTDNGFWDTFRAVHPLFTLLYPEVSERVTQSIINAYNESGFMPEWASPG-HRGCMIGNNSVSLLVDAWMKGIQTVDAEKALEAMIHQTQARHAEI-ASVGRDGFEYYDKLGYVPYP------EVPEATAKTLEYAYADWCIARFAESLGKQDIADQYYQKAPNYRNLYYPEHGFMWTKDAKGNWRDRFDA-----TEWGGPFTEGSSWHWTWSVFHDPEGLSELMGGHEPMIARLDSMFVAPNTYLNMGQYAHGNQPVQHAIYLYDYIGQPWKTQYHLRNVMDKLNSGSKGYCGDEDNGQTSAWYVFSAMGFYPVCPGMPEYAIGSPLFKKVTLHLPEGKNFVVSAADNAADR--PYIRKALLNGQEFTRNYLTHDELKQGGELNLSMDSVPNQQRGTQPADFPYSYSK-----------------------------------------------------------------------------------------------------------

2ww2A

0.29

0.23

0.81

6.77

wPPAS

----------------------------------SKKTVEFVDYVNPLMGTESTFAF-SHGNTYPAVAVPWGMNFWSPQTGESGWMYTYTDSLMRGFRQTHQPSWINDYGTFSIMPLAGELKMSHKE-RLVPFSHQQEKATPYNYSVTF-NNGLQTSLSATSRGAVFEVSFPEKEDQYVVVDAYNGG------SSITIEEKRLVKGATRYNNGGVPD-NFANYFMMEFSHPVIEYGTYNGDTLLHHQTDVAADYTCAYLKFDVGEKLTIRTASSFISPEQAAINFNREADADVQLISGKAREQWNNYLGRVEAEGGTDEQLRTFYSCLYRTLLFPREFYEFDSQGNPYSPYDGNVHDGY-MYTDNGFWDTFRAVHPLFTLLYPEVSERVTQSIINAYNESGFMPEWASPG-HRGCMIGNNSVSLLVDAWMKGIQTVDAEKALEAMIHQTQARHAEI-ASVGRDGFEYYDKLGYVPYP------EVPEATAKTLEYAYADWCIARFAESLGKQDIADQYYQKAPNYRNLYYPEHGFMWTKDAKGNWRDRFDAT-----EWGGPFTEGSSWHWTWSVFHDPEGLSELMGGHEPMIARLDSMFVAPNTYLNMGQYAHGNQPVQHAIYLYDYIGQPWKTQYHLRNVMDKLNSGSKGYCGDEDNGQTSAWYVFSAMGFYPVCPGMPEYAIGSPLFKKVTLHLPEGKNFVVSAADNAADR--PYIRKALLNGQEFTRNYLTHDELKQGGELNLSMDSVPNQQRGTQPADFPYSYSK-----------------------------------------------------------------------------------------------------------

2ww2A

0.29

0.23

0.81

11.24

dPPAS2

----------------------------------SKKTVEFVDYVNPLMGTESTFAF-SHGNTYPAVAVPWGMNFWSPQTGENGSMYTYTDSLMRGFRQTHQPPWINDYGTFSIMPLAGELKMSHKE-RLVPFSHQQEKATPYNYSVTF-NNGLQTSLSATSRGAVFEVSFPEKEDQYVVVDAYNGG------SSITIEEKRLVKGATRYNNGGVPD-NFANYFMMEFSHPVIEYGTYNGDTLLHHQTDVAADYTCAYLKFPAGEKLTIRTASSFISPEQAAINFNREADADVQLISGKAREQWNNYLGRVEAEGGTDEQLRTFYSCLYRTLLFPREFYEFDSQGNYYSPYDGNVHDGY-MYTDNGFWDTFRAVHPLFTLLYPEVSERVTQSIINAYNESGFMPEWASPG-HRGCMIGNNSVSLLVDAWMKGIQTVDAEKALEAMIHQTQARHAEI-ASVGRDGFEYYDKLGYVPYP------EVPEATAKTLEYAYADWCIARFAESLGKQDIADQYYQKAPNYRNLYYPEHGFMWTKDAKGNWRDRFDA-----TEWGGPFTEGSSWHWTWSVFHDPEGLSELMGGHEPMIARLDSMFVAPNTYNYMGQYAHGNQPVQHAIYLYDYIGQPWKTQYHLRNVMDKLNSGSKGYCGDEDNGQTSAWYVFSAMGFYPVCPGMPEYAIGSPLFKKVTLHLPEGKNFVVSAADNAADR--PYIRKALLNGQEFTRNYLTHDELKQGGELNLSMDSVPNQQRGTQPADFPYSYSK-----------------------------------------------------------------------------------------------------------

2ww2A

0.29

0.23

0.81

6.79

PPAS

----------------------------------SKKTVEFVDYVNPLMGTESTFAF-SHGNTYPAVAVPWGMNFWSPQTGENGWMYTYTDSLMRGFRQTHQPPWINDYGTFSIMPLAGELKMSHKE-RLVPFSHQQEKATPYNYSVTF-NNGLQTSLSATSRGAVFEVSFPEKEDQYVVVDAYNGG------SSITIEEKRLVKGATRYNNGGVPDN-FANYFMMEFSHPVIEYGTYNGDTLLHHQTDVAADYTCAYLKFDAGEKLTIRTASSFISPEQAAINFNREADADVQLISGKAREQWNNYLGRVEAEGGTDEQLRTFYSCLYRTLLFPREFYEFDSQGNPYSPYDGNVHDGY-MYTDNGFWDTFRAVHPLFTLLYPEVSERVTQSIINAYNESGFMPEWASPG-HRGCMIGNNSVSLLVDAWMKGIQTVDAEKALEAMIHQTQARHAEI-ASVGRDGFEYYDKLGYVPYP------EVPEATAKTLEYAYADWCIARFAESLGKQDIADQYYQKAPNYRNLYYPEHGFMWTKDAKGNWRDRFDA-----TEWGGPFTEGSSWHWTWSVFHDPEGLSELMGGHEPMIARLDSMFVAPNTYNYMGQYAHGNQPVQHAIYLYDYIGQPWKTQYHLRNVMDKLNSGSKGYCGDEDNGQTSAWYVFSAMGFYPVCPGMPEYAIGSPLFKKVTLHLPEGKNFVVSAADNAADR--PYIRKALLNGQEFTRNYLTHDELKQGGELNLSMDSVPNQQRGTQPADFPYSYSK-----------------------------------------------------------------------------------------------------------

2ww2A

0.29

0.23

0.81

12.28

Env-PPAS

----------------------------------SKKTVEFVDYVNPLMGTESTFAF-SHGNTYPAVAVPWGMNFWSPQTGENGWMYTYTDSLMRGFRQTHQPPWINDYGTFSIMPLAGELKMSHKE-RLVPFSHQQEKATPYNYSVTF-NNGLQTSLSATSRGAVFEVSFPEKEDQYVVVDAYNGG------SSITIEEKRLVKGATRYNNGGVPD-NFANYFMMEFSHPVIEYGTYNGDTLLHHQTDVAADYTCAYLKFDVGEKLTIRTASSFISPEQAAINFNREADADVQLISGKAREQWNNYLGRVEAEGGTDEQLRTFYSCLYRTLLFPREFYEFDSQGNPYSPYDGNVHDGY-MYTDNGFWDTFRAVHPLFTLLYPEVSERVTQSIINAYNESGFMPEWASPG-HRGCMIGNNSVSLLVDAWMKGIQTVDAEKALEAMIHQTQARHAEI-ASVGRDGFEYYDKLGYVPYPE------VPEATAKTLEYAYADWCIARFAESLGKQDIADQYYQKAPNYRNLYYPEHGFMWTKDAKGNWRDRFDAT-----EWGGPFTEGSSWHWTWSVFHDPEGLSELMGGHEPMIARLDSMFVAPNTYLNMGQYAHGNQPVQHAIYLYDYIGQPWKTQYHLRNVMDKLNSGSKGYCGDEDNGQTSAWYVFSAMGFYPVCPGMPEYAIGSPLFKKVTLHLPEGKNFVVSAADNAADR--PYIRKALLNGQEFTRNYLTHDELKQGGELNLSMDSVPNQQRGTQPADFPYSYSK-----------------------------------------------------------------------------------------------------------

2wvxB

0.27

0.21

0.79

3.97

MUSTER

--------------------------------------KDWTQYVNPLGSQSTFE--LSTGNTYPAIARPWGNFWTPQTGKGDGWQYTYTANKIRGFKQTHQPPWINDYGQ-FSIPIVGQPVFDE-EKRASWFAHKGEVATPYYYKVYLAEHD-IVTETPTERAVLFRFTFPENDHSYVVVDAFDK------GSYIKIIEENKIIGYTTRNSGGVPEN-FKNYFIIEFDKPFTYKATVEQGNLQENVAEQTTDHAGAIIGFKKGEQVNARIASSFISFEQAAANNE-LGKDNIEQLAQKGKDAWNQVLGKIEVEGGNLDQYRTFYSCLYRSLLFPRKFYELDANGQPIHYSPYNGQVLPGYFTDTGFWDTFRCLFPLLNLY--PSVNKEQEGLINTYLESGFFPEWASPGHRG--CVGNNSASILVDAY--GVKVDDIKTLYEGLIHGTENVHPEV-SSTGRLGYEYYNKLGYVPYDVKIN-----ENAARTLEYAYDDWCIYRLAKELKRPKKEISLFAKRANYKNLFDKES-KLRGRNEDGTFQSPFSPL-----KWGDAFTEGNSWHYTWSVFHDPQGLIDLGGK-EFVTDSVFAVPPIFDDSYYNGNYAHGNQPIQH-IYLYDYAGQPWKAQYWLRQVD-RYTPGPDGYCGDEDNGQTSAWYVFSALGFYPVCPGTD-EYVGTPLFKKATLHFENGNSLVIDAPNNSTEN--FYID-SSFNGADHTKNYLRHEDLFKGGTIKVDSN-RPNLNRGTKEED-PYSFSKEL---------------------------------------------------------------------------------------------------------

2wvxB

0.26

0.21

0.79

7.03

dPPAS

--------------------------------------KDWTQYVNPLGSQSTFE--LSTGNTYPAIARPWGNFWTPQTGKGDGWQYTYTANKIRGFKQTHQPPWINDYGQFSIPIVGQP--VFDEEKRASWFAHKGEVATPYYYKVYLAEHD-IVTETPTERAVLFRFTFPENDHSYVVVDAFDKG-----SYIKIIPEENKIIGYTTRNSGGVPE-NFKNYFIIEFDKPFTYKATVEQGNLQENVAEQTTDHAGAIIGFKKGEQVNARIASSFISFEQAAANNEL-GKDNIEQLAQKGKDAWNQVLGKIEVEGGNLDQYRTFYSCLYRSLLFPRKFYELDANGQPIHYSPYNGQVLPGYFTDTGFWDTFRCLFPLLNLY--PSVNKEQEGLINTYLESGFFPEWASPGHRG--CVGNNSASILVDAYK-GVKVDDIKTLYEGLIHGTENVHPEV-SSTGRLGYEYYNKLGYVPYDV-----KINENAARTLEYAYDDWCIYRLAKELKRPKKEISLFAKRANYKNLFDKESKL-RGRNEDGTFQSPFSPL-----KWGDAFTEGNSWHYTWSVFHDPQGLIDLGGK-EFVTDSVFAVPPIFDDSTVNGNYAHGNQPIQH-IYLYDYAGQPWKAQYWLRQVD-RYTPGPDGYCGDEDNGQTSAWYVFSALGFYPVCPGTD-EYVGTPLFKKATLHFENGNSLVIDAPNNSTENFYI---DSSFNGADHTKNYLRHEDLFKGGTIKVDSNR-PNLNRGTKEED-PYSFSKEL---------------------------------------------------------------------------------------------------------

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

Top 5 final models predicted by I-TASSER

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

More about C-score

Local structure accuracy of first model

Download Model 1

C-score=-1.38

Estimated TM-score = 0.54±0.15

Estimated RMSD = 12.0±4.4Å

Download Model 2

C-score=-1.66

Download Model 3

C-score=-1.75

Download Model 4

C-score=-2.05

Download Model 5

C-score=-1.94

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

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

Top 10 Identified stuctural analogs in PDB

Rank	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov
1	2ww2A	0.804	1.08	0.279	0.812
2	2wvxB	0.757	2.02	0.276	0.781
3	2xsgA	0.726	3.21	0.255	0.786
4	2cqtA	0.572	5.60	0.094	0.710
5	3qdeA	0.569	5.62	0.077	0.706
6	4ktpA	0.561	5.71	0.078	0.698
7	1v7vA	0.552	5.97	0.089	0.705
8	1h54B	0.550	5.82	0.071	0.691
9	3wiqA	0.544	5.62	0.078	0.675
10	2eabA	0.539	6.29	0.081	0.700

(a)	Query structure is shown in cartoon, while the structural analog is displayed using backbone trace.
(b)	Ranking of proteins is based on TM-score of the structural alignment between the query structure and known structures in the PDB library.
(c)	RMSD^a is the RMSD between residues that are structurally aligned by TM-align.
(d)	IDEN^a is the percentage sequence identity in the structurally aligned region.
(e)	Cov represents the coverage of the alignment by TM-align and is equal to the number of structurally aligned residues divided by length of the query protein.

Predicted function using COACH

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

Ligand binding sites

Rank	C-score	Cluster size	PDB Hit	Lig Name	Download Complex	Ligand Binding Site Residues
1	0.52	18	2wvzA	KIF	Rep, Mult	103,105,106,368,369,406,415,416,565,616,617
2	0.22	9	2ww3B	CA	Rep, Mult	369,615,617,656,658
3	0.02	1	3c67B	GLC	Rep, Mult	279,282,283,286
4	0.02	1	1g6iA	UUU	Rep, Mult	94,96,97,114,154,156,158
5	0.02	1	1dl2A	UUU	Rep, Mult	51,54,57,79,86,87
6	0.02	1	2ww0A	SWA	Rep, Mult	103,368,369,406

	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	0.067	2cqsA	0.573	5.58	0.094	0.710	2.4.1.20	NA
2	0.066	1h54B	0.550	5.82	0.071	0.691	2.4.1.8	NA
3	0.066	1lf6A	0.485	5.28	0.099	0.593	3.2.1.3	130
4	0.060	1z1wA	0.317	8.05	0.037	0.475	3.4.11.-	NA
5	0.060	1w6jA	0.337	7.76	0.051	0.490	5.4.99.7	293
6	0.060	2ckjA	0.314	8.85	0.052	0.502	1.17.1.4,1.17.3.2	NA
7	0.060	2vn4A	0.307	5.25	0.056	0.376	3.2.1.3	130
8	0.060	3b9jI	0.094	5.44	0.029	0.117	1.17.1.4,1.17.3.2	293
9	0.060	1t3tA	0.301	9.02	0.049	0.487	6.3.5.3	NA
10	0.060	1fo4A	0.320	8.81	0.048	0.511	1.17.1.4	NA
11	0.060	2g49A	0.314	9.09	0.039	0.512	3.4.24.56	NA
12	0.060	1q16A	0.308	8.78	0.038	0.491	1.7.99.4	NA
13	0.060	1ug9A	0.515	5.79	0.101	0.644	3.2.1.70	130
14	0.060	2jg0A	0.345	5.53	0.065	0.426	3.2.1.28	NA
15	0.060	1llwA	0.312	9.40	0.041	0.526	1.4.7.1	NA
16	0.060	1dl2A	0.338	6.16	0.062	0.436	3.2.1.113	NA
17	0.060	1ofdA	0.329	9.08	0.043	0.540	1.4.7.1	NA
18	0.060	3b9jC	0.257	8.72	0.033	0.410	1.17.3.2,1.17.1.4	NA
19	0.060	1fmiA	0.315	5.70	0.059	0.396	3.2.1.113	NA
20	0.060	2vdcF	0.304	8.66	0.036	0.481	1.4.1.13	NA
21	0.060	2qnoA	0.302	6.13	0.060	0.393	3.2.1.4	76
22	0.060	2ri9B	0.317	6.16	0.070	0.412	3.2.1.113	300

(a)	Cscore^EC is the confidence score for the EC number prediction. Cscore^EC values range in between [0-1]; where a higher score indicates a more reliable EC number prediction.
(b)	TM-score is a measure of global structural similarity between query and template protein.
(c)	RMSD^a is the RMSD between residues that are structurally aligned by TM-align.
(d)	IDEN^a is the percentage sequence identity in the structurally aligned region.
(e)	Cov represents the coverage of global structural alignment and is equal to the number of structurally aligned residues divided by length of the query protein.

Gene Ontology (GO) terms

Rank	Cscore^GO	TM-score	RMSD^a	IDEN^a	Cov	PDB Hit	Associated GO Terms
Homologous GO templates in PDB
0	0.38	0.804	1.08	0.28	0.81	2ww2A	GO:0003824 GO:0005975 GO:0030246
1	0.31	0.726	3.21	0.26	0.79	4aq0A	GO:0003824 GO:0004559 GO:0005975 GO:0030246 GO:0046872
2	0.15	0.787	2.05	0.27	0.81	2wvzB	GO:0003824 GO:0005975 GO:0030246 GO:0046872
3	0.07	0.573	5.59	0.10	0.71	3acsA	GO:0003824 GO:0005975 GO:0030246
4	0.07	0.569	5.62	0.08	0.71	3qdeA	GO:0003824 GO:0005975 GO:0016740 GO:0016757 GO:0030246 GO:0047738
5	0.07	0.560	5.86	0.09	0.71	3rrsA	GO:0003824 GO:0005975 GO:0016740 GO:0016757 GO:0030246 GO:0047738
6	0.07	0.552	5.97	0.09	0.70	1v7vA	GO:0003824 GO:0005975 GO:0016740 GO:0030246 GO:0046872
7	0.07	0.535	6.37	0.09	0.71	4zlfA	GO:0003824 GO:0005975 GO:0030246
8	0.06	0.242	7.71	0.05	0.36	3n6rA	GO:0003824 GO:0004075 GO:0004658 GO:0005524 GO:0016874 GO:0019541 GO:0046872
9	0.06	0.252	8.07	0.03	0.38	3n6rG	GO:0003824 GO:0004075 GO:0004658 GO:0005524 GO:0016874 GO:0019541 GO:0046872
10	0.06	0.207	7.30	0.06	0.30	3h4iA	GO:0000166 GO:0005975 GO:0008152 GO:0016740 GO:0016746 GO:0016757 GO:0016758 GO:0016874 GO:0017000 GO:0030259 GO:0033072
11	0.06	0.194	8.43	0.02	0.30	1ldjA	GO:0000082 GO:0000086 GO:0000209 GO:0002223 GO:0004842 GO:0005654 GO:0005829 GO:0006511 GO:0006513 GO:0006915 GO:0007050 GO:0008283 GO:0008285 GO:0009887 GO:0016032 GO:0016055 GO:0016567 GO:0019005 GO:0031146 GO:0031461 GO:0031625 GO:0038061 GO:0038095 GO:0042787 GO:0043161 GO:0050852 GO:0051403 GO:0051437 GO:0061630 GO:0097193 GO:1990452
12	0.06	0.201	7.15	0.04	0.28	3u0bA	GO:0004316 GO:0016491 GO:0055114 GO:0102132
13	0.06	0.195	7.16	0.05	0.28	1pn3A	GO:0005975 GO:0008152 GO:0016740 GO:0016757 GO:0016758 GO:0017000 GO:0030259 GO:0033072
14	0.06	0.175	7.26	0.03	0.25	2guwB	GO:0003824 GO:0008152 GO:0008714 GO:0009116 GO:0016787 GO:0016798 GO:0044209 GO:0046033
15	0.06	0.137	6.66	0.03	0.19	2j0rA	GO:0006810 GO:0006811 GO:0006826 GO:0055072
16	0.06	0.152	6.24	0.06	0.20	3gd5A	GO:0000050 GO:0004585 GO:0005737 GO:0006520 GO:0006526 GO:0006591 GO:0008652 GO:0016597 GO:0016740 GO:0016743 GO:0042450
17	0.06	0.116	5.32	0.06	0.14	3e5tA	GO:0008218 GO:0018298
18	0.06	0.123	5.91	0.05	0.16	1h1yA	GO:0003824 GO:0004750 GO:0005737 GO:0005829 GO:0005975 GO:0006098 GO:0008152 GO:0009052 GO:0016853 GO:0016857 GO:0019323 GO:0044262 GO:0046872

Consensus prediction of GO terms

Molecular Function	GO:0030246	GO:0046872	GO:0004559
GO-Score	0.69	0.42	0.31
Biological Processes	GO:0005975
GO-Score	0.69
Cellular Component
GO-Score

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

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

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