D-I-TASSER O95163-D1

D-I-TASSER results for O95163-D1

[Click result.zip to download all results on this page]

Input Sequence in FASTA format

>O95163 (632 residues)
MRNLKLFRTLEFRDIQKVNDLLWNADSSVLAVWLEDLQREESSIPKTCVQLWTVGNYHWY
LKQSLSFSTCGKSKIVSLMWDPVTPYRLHVLCQGWHYLAYDWHWTTDRSVGDNSSDLSNV
AVIDGNRVLVTVFRQTVVPPPMCTYQLLFPHPVNQVTFLAHPQKSNDLAVLDASNQISVY
KCGDCPSADPTVKLGAVGGSGFKVCLRTPHLEKRYKIQFENNEDQDVNPLKLGLLTWIEE
DVFLAVSHSEFSPRSVIHHLTAASSEMDEEHGQLNVSSSAAVDGVIISLCCNSKTKSVVL
QLADGQIFKYLWESPSLAIKPWKNSGGFPVRFPYPCTQTELAMIGEEECVLGLTDRCRFF
INDIEVASNITSFAVYDEFLLLTTHSHTCQCFCLRDASFKTLQAGLSSNHVSHGEVLRKV
ERGSRIVTVVPQDTKLVLQMPRGNLEVVHHRALVLAQIRKWLDKLMFKEAFECMRKLRIN
LNLIYDHNPKVFLGNVETFIKQIDSVNHINLFFTELKEEDVTKTMYPAPVTSSVYLSRDP
DGNKIDLVCDAMRAVMESINPHKYCLSILTSHVKKTTYQQNSATPVLGPNSTANSIMASY
QQQKTSVPVLDAELFIPPKINRRTQWKLSLLD

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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| MRNLKLFRTLEFRDIQKVNDLLWNADSSVLAVWLEDLQREESSIPKTCVQLWTVGNYHWYLKQSLSFSTCGKSKIVSLMWDPVTPYRLHVLCQGWHYLAYDWHWTTDRSVGDNSSDLSNVAVIDGNRVLVTVFRQTVVPPPMCTYQLLFPHPVNQVTFLAHPQKSNDLAVLDASNQISVYKCGDCPSADPTVKLGAVGGSGFKVCLRTPHLEKRYKIQFENNEDQDVNPLKLGLLTWIEEDVFLAVSHSEFSPRSVIHHLTAASSEMDEEHGQLNVSSSAAVDGVIISLCCNSKTKSVVLQLADGQIFKYLWESPSLAIKPWKNSGGFPVRFPYPCTQTELAMIGEEECVLGLTDRCRFFINDIEVASNITSFAVYDEFLLLTTHSHTCQCFCLRDASFKTLQAGLSSNHVSHGEVLRKVERGSRIVTVVPQDTKLVLQMPRGNLEVVHHRALVLAQIRKWLDKLMFKEAFECMRKLRINLNLIYDHNPKVFLGNVETFIKQIDSVNHINLFFTELKEEDVTKTMYPAPVTSSVYLSRDPDGNKIDLVCDAMRAVMESINPHKYCLSILTSHVKKTTYQQNSATPVLGPNSTANSIMASYQQQKTSVPVLDAELFIPPKINRRTQWKLSLLD
Prediction	CCCCCCCCCCCCCCCCSSSSSSSCCCCCSSSSSSSSCCCCCCCCCCCSSSSSSCCCCSSSSSSSSSSCCCCCCCSSSSSSCCCCCCSSSSSSCCCSSSSSSSSSSSSSCCCCCCCCCSSSSSSSCCSSSSCCCCCCCCCCCCCCCSSCCCCCCSSSSSSCCCCCCCSSSSSSCCCCSSSSSSCCCCCCCCCHSHCCCCCCCCCCCCCCCCCCCCCCSSCCCCCCCCCCCSSSSSSSSSCCCSSSSSSSCCCCCCSSSSSSSCCCCCCCCCCCSSSSSSSSSCCCCSSSSSSCCCCCSSSSSSCCCCSSSSSCCCCCCCCCCCCCCCCCCCCCCCSCCSSSSSSSCCCSSSSSSCCCCSSSSCCSSSSCCCSSSSSSCCSSSSSSCCCSSSSSSCCCCCCCCCCCCCCCCCCCCCCCSSSSCCCCSSSSSSCCCCSSSSSCCCCCHSHCCCHHHHHHHHHHHHHHCCHHHHHHHHHHHCCCCSSSSSCCHHHHHHHHHHHHHHHCCHHHHHHHHHHCCCCCCCSCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHCCCCCCCCCCCSSSCCC
Confidence	98752357899876633778275798733589997247766678772999995366256678999805788897179997589997899997898199999999987069999888538999919927840343467899974322138998315887348999975999975992999991789876641000023554433345677544211100035677665412577776404887999994699860799997237653233443156532221267269998538998799997599299997179975322235677643236612013699984893799997699928759978743531799717769999638838999866454554223567776544440233136867999946983699984887611116578999999999974749999999998566630688479999999999999982565799999986244311100466544555667777752279999999999998348521467887887425864699999999999864245421122333066776675235234877541122259
	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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| MRNLKLFRTLEFRDIQKVNDLLWNADSSVLAVWLEDLQREESSIPKTCVQLWTVGNYHWYLKQSLSFSTCGKSKIVSLMWDPVTPYRLHVLCQGWHYLAYDWHWTTDRSVGDNSSDLSNVAVIDGNRVLVTVFRQTVVPPPMCTYQLLFPHPVNQVTFLAHPQKSNDLAVLDASNQISVYKCGDCPSADPTVKLGAVGGSGFKVCLRTPHLEKRYKIQFENNEDQDVNPLKLGLLTWIEEDVFLAVSHSEFSPRSVIHHLTAASSEMDEEHGQLNVSSSAAVDGVIISLCCNSKTKSVVLQLADGQIFKYLWESPSLAIKPWKNSGGFPVRFPYPCTQTELAMIGEEECVLGLTDRCRFFINDIEVASNITSFAVYDEFLLLTTHSHTCQCFCLRDASFKTLQAGLSSNHVSHGEVLRKVERGSRIVTVVPQDTKLVLQMPRGNLEVVHHRALVLAQIRKWLDKLMFKEAFECMRKLRINLNLIYDHNPKVFLGNVETFIKQIDSVNHINLFFTELKEEDVTKTMYPAPVTSSVYLSRDPDGNKIDLVCDAMRAVMESINPHKYCLSILTSHVKKTTYQQNSATPVLGPNSTANSIMASYQQQKTSVPVLDAELFIPPKINRRTQWKLSLLD
Prediction	54213041405264534031030003000000002324445544331000000100000000000203344553000000112200100000142100011010100203134231200000012330000003301000000213040431011000003254211000000220000011352343432341433344324231514414331414134244441110100000003320000000152322000120333444244444423024214253110100121623000000351200201153543414414545414130220012020031564100000033010003433004100000012100000023020100003425244253525554443342113002101000002440100000110000000000000210151056430330031034110200000012153015203400530541410100022034430041103431545443665445510320041015103633463100000000024425403400420350454554455454543024004200100141265041202118
	Values range from 0 (buried residue) to 8 (highly exposed residue)

Predicted Contact, Hydrogen and Distance Map Used in D-I-TASSER simulation

Contact Map

Distance Map

Hydrogen bond networks

D-I-TASSER simulation is guided by the consensus contact map (left figure), distance map (middle figure) and Hydrogen bond network (right figure) derived based on confidence scores of DeepPotential. In the contact, distance map and hydrogen bond networks, the axes mark the residue index along the sequence. For the contact map, each dot represents a residue pair with predicted contact, while for the distance map and hydrogen bond network, a color scale represents a distance of 1-20+ angstroms or a angle of 0-180 degree.

Top 10 threading templates used by D-I-TASSER

Rank

PDB
hit

ID1

ID2

Cov

Norm.
Zscore

Download
alignment

                  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

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

SS
Seq

CCCCCCCCCCCCCCCCSSSSSSSCCCCCSSSSSSSSCCCCCCCCCCCSSSSSSCCCCSSSSSSSSSSCCCCCCCSSSSSSCCCCCCSSSSSSCCCSSSSSSSSSSSSSCCCCCCCCCSSSSSSSCCSSSSCCCCCCCCCCCCCCCSSCCCCCCSSSSSSCCCCCCCSSSSSSCCCCSSSSSSCCCCCCCCCHSHCCCCCCCCCCCCCCCCCCCCCCSSCCCCCCCCCCCSSSSSSSSSCCCSSSSSSSCCCCCCSSSSSSSCCCCCCCCCCCSSSSSSSSSCCCCSSSSSSCCCCCSSSSSSCCCCSSSSSCCCCCCCCCCCCCCCCCCCCCCCSCCSSSSSSSCCCSSSSSSCCCCSSSSCCSSSSCCCSSSSSSCCSSSSSSCCCSSSSSSCCCCCCCCCCCCCCCCCCCCCCCSSSSCCCCSSSSSSCCCCSSSSSCCCCCHSHCCCHHHHHHHHHHHHHHCCHHHHHHHHHHHCCCCSSSSSCCHHHHHHHHHHHHHHHCCHHHHHHHHHHCCCCCCCSCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHCCCCCCCCCCCSSSCCC
MRNLKLFRTLEFRDIQKVNDLLWNADSSVLAVWLEDLQREESSIPKTCVQLWTVGNYHWYLKQSLSFSTCGKSKIVSLMWDPVTPYRLHVLCQGWHYLAYDWHWTTDRSVGDNSSDLSNVAVIDGNRVLVTVFRQTVVPPPMCTYQLLFPHPVNQVTFLAHPQKSNDLAVLDASNQISVYKCGDCPSADPTVKLGAVGGSGFKVCLRTPHLEKRYKIQFENNEDQDVNPLKLGLLTWIEEDVFLAVSHSEFSPRSVIHHLTAASSEMDEEHGQLNVSSSAAVDGVIISLCCNSKTKSVVLQLADGQIFKYLWESPSLAIKPWKNSGGFPVRFPYPCTQTELAMIGEEECVLGLTDRCRFFINDIEVASNITSFAVYDEFLLLTTHSHTCQCFCLRDASFKTLQAGLSSNHVSHGEVLRKVERGSRIVTVVPQDTKLVLQMPRGNLEVVHHRALVLAQIRKWLDKLMFKEAFECMRKLRINLNLIYDHNPKVFLGNVETFIKQIDSVNHINLFFTELKEEDVTKTMYPAPVTSSVYLSRDPDGNKIDLVCDAMRAVMESINPHKYCLSILTSHVKKTTYQQNSATPVLGPNSTANSIMASYQQQKTSVPVLDAELFIPPKINRRTQWKLSLLD

6qk7A

0.24

0.20

6.37

1.17

DEthreader

----FHGEFDTRLLEKVESVCWNSN-S-EALAVV-L---------ANRIQLWTSKNYHWYLKQELYASDI--SYV--KWHP-EK-DFTLMFSDAGFINIVDFAYKMAQGPTLEPFDNGTSLVVDGRTVNITPLALANVPPPMYYRDFETPGNVLDVACSFS---NEIYAAINKDVLIFAAVPSIEEMKKG----------------KHPSIVCEFPKSEFT----S-EVDSLRQVAFINDSIVGVLLDTD--NLSRIALLDIQDI-----TQPTLITIVEVYDKIVLLRSDFDY-NHLVYETRDGTVCQLDA--E--GQLM-E-----ITKFPQLVRDFRVKRVHNSLVAFGITNNGKLFANQVLLASAVTSLEITDSFLLFTT-AQHNLQFVHLNSTDF-KP-LPLVE--VEDERVRAIERGSILVSVIPSKSSVVLQATRGNLETIYPRIMVLAEVRKNIMAKRYKEAFIVCRTHRINLDILHDYAPELFIENLEVFINQIGRVDYLNLFISCLSEDDVTKTKYKETLYSG-----DPKTSKVNKICDAVLNVLLSNYKKKYLQTIITAYASQNPQNLSAALKLISLEKDSCVTYLCFLQDVNV------------SLALLVAQKSQMD-

6qk7A

0.27

0.24

7.40

4.09

SPARKS-K

NGLRHGEFDTRLPLDEKVESVCWNSNSEALAVVL-----------ANRIQLWTSKNYHWYLKQELYA-----SDISYVKWHPEKDFTLMFSDA-GFINIVDFAYKMAQGPTLEPFDNGTSLVVDGRTVNITPLALANVPPPMYYRDFETPGNVLDVACSFS---NEIYAAIN-KDVLIFAAV-------PSIEEMKKGKH--------PSIVCEFPKSEFTSEV-----DSLRQVAFINDSIVGVLLDTD--NLSRIALLDI------QDITQPTLITIVEVYDKIVLLRSDFDYNHLVYETRDGTVCQLDAEGQL----------MEITKFPQLVRDFRVKRVHNELVAFGITNNGKLFANQVLLASAVTSLEITDSFLLFTTAQHNLQFVHLNSTD---FKPLPLVEEGVEDERVRAIERGSILVSVIPSKSSVVLQATRGNLETIYPRIMVLAEVRKNIMAKRYKEAFIVCRTHRINLDILHDYAPELFIENLEVFINQIGRVDYLNLFISCLSEDDVTKTKYKETLYSGISKMFDPKTSKVNKICDAVLNVLLSNPKKKYLQTIITAYASQNPQNLSAALKLISELLALLVAQKSQMDPREYLPFLQELQDNEPLRRKFLIDDLGNYE

6qk7A

0.23

0.20

6.37

0.74

MapAlign

---------SASEPVTGMEQLSWKPQGSLIASIQRKTD--LGEEDSVDVIFFERN---GLRHGEFDTRLPLDEKVESVCWNS-NSEALAVVLA-NRIQLWTSAYKMAQGPTLEPFDNGTSLVVDGRTVNITPLALANVPPPMYYRDFETPGNVLDVACSFS---NEIYAAINK-DVLIFAAVPS---------------IEEMKKGKHPSIVCEFPKSEF-----TSEVDSLRQVAFINDSIVGVLLDTD--NLSRIALLDIQ------DITQPTLITIVEVYDKIVLLRSDFDYNHLVYETRDGTVCQLDA---EGQLMEI-------TKFPQLVRDFRVKRVHNTLVAFGITNNGKLFANQVLLASAVTSLEITDSFLLFTTAQHNLQFVHLNSTDFKPL---PLVEEGVEDERVRAIERGSILVSVIPSKSSVVLQATRGNLETIYPRIMVLAEVRKNIMAKRYKEAFIVCRTHRINLDILHDYAPELFIENLEVFINQIGRVDYLNLFISCLSEDDVTKTKYKEMQIYMKKKMFDPKTSKVNKICDAVLNVLLPEYKKKYLQTIITAYASQNPQNLSAALKLIKDSCVTYLCFLQDVNVVYKSASLALLVAMDPREYLPFLQEL----

6qk7A

0.26

0.23

7.18

1.00

CEthreader

NGLRHGEFDTRLPLDEKVESVCWNSNSEALAVVLANR-----------IQLWTSKNYHWYLKQELYA-----SDISYVKWHPEKDFTLMFSD-AGFINIVDFAYKMAQGPTLEPFDNGTSLVVDGRTVNITPLALANVPPPMYYRDFETPGNVLDVACS----FSNEIYAAINKDVLIFAAVPSIE--------------------EMKKGKHPSIVCEFPKSEFTSEVDSLRQVAFINDSIVGVLLDTDNLSRIALLDIQDITQP--------TLITIVEVYDKIVLLRSDFDYNHLVYETRDGTVCQLDAEGQ----------LMEITKFPQLVRDFRVKRVHSELVAFGITNNGKLFANQVLLASAVTSLEITDSFLLFTTAQHNLQFVHLNSTDFKPL---PLVEEGVEDERVRAIERGSILVSVIPSKSSVVLQATRGNLETIYPRIMVLAEVRKNIMAKRYKEAFIVCRTHRINLDILHDYAPELFIENLEVFINQIGRVDYLNLFISCLSEDDVTKTKYKETLYSGISKSFGMETSKVNKICDAVLNVLLSNPKKKYLQTIITAYASQNPQNLSAALKLISELENSEVAQKSQMDPREYLPFLQELQDNEPLRRKFLIDDYLGNY

6qk7A

0.27

0.24

7.43

1.52

MUSTER

LRHG--EFDTRLPLDEKVESVCWNSNSEALAVVL-----------ANRIQLWTSKNYHWYLKQELYA-----SDISYVKWHPEKDFTLMFSD-AGFINIVDFAYKMAQGPTLEPFDNGTSLVVDGRTVNITPLALANVPPPMYYRDFETPGNVLDVACSF---SNEIYAAIN-KDVLIFAAVPSIEEMKKG---------------KHPSIVCEFPKSEFTSEV-----DSLRQVAFINDSIVGVLLDTDNL--SRIALLDIQDITQP------TLITIVEVYDKIVLLRSDFDYNHLVYETRDGTVCQLDAEGQLMEI----------TKFPQLVRDFRVKRVHNTLVAFGITNNGKLFANQVLLASAVTSLEITDSFLLFTTAQHNLQFVHLNSTDFKPLP---LVEEGVEDERVRAIERGSILVSVIPSKSSVVLQATRGNLETIYPRIMVLAEVRKNIMAKRYKEAFIVCRTHRINLDILHDYAPELFIENLEVFINQIGRVDYLNLFISCLSEDDVTKTKYKETLYSGISKMFDPKTSKVNKICDAVLNVLLSNPKKKYLQTIITAYASQNPQNLSAALKLISELENSEEKDSC-MDPREYLPFLQELQDNEPLRRKFL-DYLGLSE

6qk7A

0.27

0.24

7.35

8.40

HHsearch

LR--HGEFDTRLPLDEKVESVCWNSNSEALAVVLAN-----------RIQLWTSKNYHWYLKQELYAS-----DISYVKWHPEKDFTLMFSDA-GFINIVDFAYKMAQGPTLEPFDNGTSLVVDGRTVNITPLALANVPPPMYYRDFETPGNVLDVACSFS---NEIYAAI-NKDVLIFAAVPSIEEMK--------K-------GKHPSIVCEFPKSEF-----TSEVDSLRQVAFINDSIVGVLLDTDN--LSRIALLDIQDITQ----P--TLITIVEVYDKIVLLRSDFDYNHLVYETRDGTVCQLDAEGQL----------MEITKFPQLVRDFRVKRVHSELVAFGITNNGKLFANQVLLASAVTSLEITDSFLLFTTAQHNLQFVHLNSTDFKPLPL---VEEGVEDERVRAIERGSILVSVIPSKSSVVLQATRGNLETIYPRIMVLAEVRKNIMAKRYKEAFIVCRTHRINLDILHDYAPELFIENLEVFINQIGRVDYLNLFISCLSEDDVTKTKYKETLYSGISKMFDPKTSKVNKICDAVLNVLLSNPKKKYLQTIITAYASQNPQNLSAALKLISELEALLVAQKSQMDPREYLPFLQELQDNEPLRRKFLIDDYLGNY

6qk7A

0.27

0.24

7.32

3.30

FFAS-3D

--------DTRLPLDEKVESVCWNSNSEALAVVLAN-----------RIQLWTSKNYHWYLKQELYA-----SDISYVKWHPEKDFTLMFSD-AGFINIVDFAYKMAQGPTLEPFDNGTSLVVDGRTVNITPLALANVPPPMYYRDFETPGNVLDVACSF----SNEIYAAINKDVLIFAAVPSIEEMKKG---------------KHPSIVCEFPKSEFTSEV-----DSLRQVAFINDSIVGVLLDTDNLSRIALLDI--------QDITQPTLITIVEVYDKIVLLRSDFDYNHLVYETRDGTVCQLDAEGQLMEI----------TKFPQLVRDFRVKRVSSELVAFGITNNGKLFANQVLLASAVTSLEITDSFLLFTTAQHNLQFVHLNSTD---FKPLPLVEEGVEDERVRAIERGSILVSVIPSKSSVVLQATRGNLETIYPRIMVLAEVRKNIMAKRYKEAFIVCRTHRINLDILHDYAPELFIENLEVFINQIGRVDYLNLFISCLSEDDVTKTKYKETLYSGKKKMFDPKTSKVNKICDAVLNVLLSNPKKKYLQTIITAYASQNPQNLSAALKLISELENSEE----------KDSCVTYLCFLQ-DVNVVYKSALSLYD

6qk7A

0.17

0.15

4.80

0.73

EigenThreader

SLIASIQRKTDLGEEDSVDVIFFERNGLRHGEFDTRLPLDEKVEANRIQLWTSKNYHWYLK-QELYASD------ISYKWHPEKDFTLMFSDA-GFINIVDFAYKMQGPTLEPFDNGTSLVVDGRTVNITPALANVPPPMYYRDFETPGNVLDVACS-----FSNEIYAAIN-KDVLIFAAV------PSIEEMKKG---------KHPSIVCEFPK-----SEFTSEVDSLRQVAFINDSIVGVLLDD---NLSRIALLDI----QDITQPTLIT-----IVEVYVLLRSDFDYNHLVYETR-DGTVCQLD------------------AEGQPQLVRDFRVKNTSVAFGITNNGK-LFANQVLLASAVTSLEITDSFLLFTTAQHNLQFVHLNSTDF----KPLPLVEEGVEDEVSVIPSKSSVVLQATRGNLETIY----------PRIMVLAEVRKNIMAKRYKEAFIVCRTHRINLDILHDYAPELFIENLEVFINQIGRVDYLNLFISCLSEDDVTKTKYKETLYSGISKSFGMEPAPLTEMQIYMKKKMFDPKTSKVNKICDAVLNVLLSNPEYKKKYLQTIITAYAS--QNPQNLSAALKLISELENSEEKDSCVTYLCFLQDV

3mkqA

0.12

0.09

3.37

1.53

CNFpred

----------------FVMCVAFNPDPSTFASGCLD----------RTVKVWSLGQ---TPNFTLTTGQ--ERGVNYVDYYPLDKPYMITASDDLTIKIWD-VSFAVFHP----TLPIIISGSEDGTLKIWNSS------YKVEKTLNV-ERSWCIATHPTG-RKNYIASGFDNGFTVLSLGND----EPTLSLDP----VGKLVWSGASDIFTAVIREEVEQDEPL-DVFPQSLAHSPNGRFVTVVGD-----GEYVIYTAL---------AWRNKAFGK----CQDFVWGPDSNSYALIDETGQIKYYKNFKE-GFVYFFDWDNTLVRRIDVNAKDVIWSD-NGELVMIVNTNEASGYTLLYELSESITSGKWVGDVFIFTTATNRLNYFVGG-----------------KTYNLAHYTKEMYLLGYLARDNKVYLADREVHVYGYE-ISLEVLEFQTLTLRGEIEEAIENVLPNVE---------GKDSLTKIARFLEGQEYYEEALNISP------DQDQKFELA--------------LKVGQLTLARDLLTDESAEMKWRALGDASLQRNFKLAIEAFTNAHDLESLFLLHSSFNNKEGLVTLAKDAETTKFNLAFNAYWIAGDIQ

4a7kA

0.07

0.05

1.88

0.83

DEthreader

-----------------------------------------------------LVQGGRPD------------------------------------------GYWVEAFPSSSKCPNIIGYGLGKSDIQMLVNPYA--SSWTPVPLAK-LDFPVAMHYADIKGFNDVIITDQYGRVSWLENPGEL-------------------RDNWTM-RTIGH-----------SPGMHRLKAGHRVQVVAVPVVASDTTPADVIIFTAPDDP-RSEQLWQRDVVGTR-HLVHEVAIVPAFDQIILAGR-DGVDCLWYDGA-RW-QRHL----VGTGLPWGAGSAAVGRVDDYAYICSAEHGNTVSVYRHVLDVFSIQVVCADDEFLVAMFQTGVWCYK----LVDRTNMK-----FS--K-TKVSSVSAGRIATANSEVDIATISPNSINVFLSTGIVRAGSTRFK-------------LTLVVLP-PFA-------------RL-DVERNVS-GV-KVMAG---------------------------T--VC--W-ADENGK--------H--ERVPATRP-FGCESMIV---PPFWTASA-HNHFCEIHACIANGTGRGGMRLEELIVHAWLAD

(a)	ID1 is the number of template residues identical to query divided by number of aligned residues.
(b)	ID2 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 and is highlighted in bold.
(e)	Download alignment lists the threading program used to identify the template, and provide the 3D structure of aligned regions of threading templates (threading[1-10].pdb.gz).
(f)	Template residues identical to query sequence are highlighted in color.

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.6195

(a)

D-I-TASSER simulations generate a large ensemble of structural conformations, i.e. decoys. These decoys are clustered by SPICKER based on pairwise structure similarity to report up to five final models from the five largest clusters. Models are ranked in descending order of cluster size. If the simulations converge well, it is possible to have less than 5 models generated, which is usually an indication of good model quality.

(b)

The model confidence is quantitatified by estimated TM-score (eTM-score), calculated based on significance of threading template alignments, contact map satisfaction rate, mean absolute error between distance of model and distance of DeepPotential, and convergence of D-I-TASSER simulations. eTM-score is typically in the range of [0, 1], with higher eTM-score signifies higher model confidence.

Proteins with similar structure

Top 10 structural analogs in PDB (as identified by TM-align)

Rank	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	Download Alignment
1	6qk7A	0.86	2.41	0.249	0.900	model1_6qk7A.pdb.gz
2	4a7kA	0.50	5.76	0.058	0.652	model1_4a7kA.pdb.gz
3	3mkqA	0.49	6.21	0.053	0.665	model1_3mkqA.pdb.gz
4	5a1uD	0.48	5.96	0.044	0.647	model1_5a1uD.pdb.gz
5	6w1sK	0.47	6.23	0.054	0.633	model1_6w1sK.pdb.gz
6	5haxA	0.46	5.86	0.079	0.603	model1_5haxA.pdb.gz
7	7jmnP	0.45	6.55	0.042	0.631	model1_7jmnP.pdb.gz
8	4ui9A	0.45	5.86	0.076	0.600	model1_4ui9A.pdb.gz
9	6tntA	0.45	5.82	0.080	0.597	model1_6tntA.pdb.gz
10	1l5gA	0.45	5.19	0.045	0.576	model1_1l5gA.pdb.gz

(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 Gene Ontology (GO) Terms

Molecular Function (MF)

GO term	Cscore^GO	Name
GO:0008607	0.85	phosphorylase kinase regulator activity

Download full result of the above consensus prediction.

Click the graph to show a high resolution version.

(a)

Cscore^GO is the confidence score of predicted GO terms. Cscore^GO values range in between [0-1]; where a higher value indicates a better confidence in predicting the function using the template.

(b)

The graph shows the predicted terms within the Gene Ontology hierachy for Molecular Function. Confidently predicted terms are color coded by Cscore^GO:

[0.4,0.5)

[0.5,0.6)

[0.6,0.7)

[0.7,0.8)

[0.8,0.9)

[0.9,1.0]

Biological Process (BP)

GO term	Cscore^GO	Name
GO:0080090	0.77	regulation of primary metabolic process
GO:0050794	0.77	regulation of cellular process
GO:0006357	0.73	regulation of transcription from RNA polymerase II promoter
GO:0048522	0.54	positive regulation of cellular process
GO:0030335	0.50	positive regulation of cell migration

Download full result of the above consensus prediction.

Click the graph to show a high resolution version.

(a)

Cscore^GO is the confidence score of predicted GO terms. Cscore^GO values range in between [0-1]; where a higher value indicates a better confidence in predicting the function using the template.

(b)

The graph shows the predicted terms within the Gene Ontology hierachy for Biological Process. Confidently predicted terms are color coded by Cscore^GO:

[0.4,0.5)

[0.5,0.6)

[0.6,0.7)

[0.7,0.8)

[0.8,0.9)

[0.9,1.0]

Cellular Component (CC)

GO term	Cscore^GO	Name
GO:0044424	1.00	intracellular part
GO:0032991	1.00	macromolecular complex
GO:0005737	0.86	cytoplasm
GO:0043234	0.73	protein complex
GO:0044446	0.68	intracellular organelle part
GO:0044428	0.65	nuclear part
GO:0044451	0.61	nucleoplasm part
GO:0008023	0.57	transcription elongation factor complex
GO:0033588	0.51	Elongator holoenzyme complex

Download full result of the above consensus prediction.

Click the graph to show a high resolution version.

(a)

Cscore^GO is the confidence score of predicted GO terms. Cscore^GO values range in between [0-1]; where a higher value indicates a better confidence in predicting the function using the template.

(b)

The graph shows the predicted terms within the Gene Ontology hierachy for Cellular Component. Confidently predicted terms are color coded by Cscore^GO:

[0.4,0.5)

[0.5,0.6)

[0.6,0.7)

[0.7,0.8)

[0.8,0.9)

[0.9,1.0]

Predicted Enzyme Commission (EC) Numbers

Top 5 enzyme homologs in PDB

Rank	Cscore^EC	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	EC Number	Predicted Active Site Residues
1	0.060	1k3iA	0.412	5.45	0.049	0.528	1.1.3.9	NA
2	0.060	1s0kA	0.374	5.56	0.036	0.484	3.2.1.18	NA
3	0.060	2ecfA	0.354	5.48	0.044	0.453	3.4.14.5	NA
4	0.060	1e5tA	0.383	5.74	0.054	0.490	3.4.21.26	NA
5	0.060	1eurA	0.356	5.12	0.077	0.454	3.2.1.18	NA

	Click on the radio buttons to visualize predicted active site residues.
(a)	Cscore^EC is the confidence score for the Enzyme Commission (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.

Predicted Ligand Binding Sites

Template proteins with similar binding site:

No Binding sites was predicted

Click to view	Rank	Cscore^LB	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	BS-score	Lig. Name	Download Complex	Predicted binding site residues

	Click on the radio buttons to visualize predicted binding site and residues.
(a)	Cscore^LB is the confidence score of predicted binding site. Cscore^LB values range in between [0-1]; where a higher score indicates a more reliable ligand-binding site prediction.
(b)	BS-score is a measure of local similarity (sequence & structure) between template binding site and predicted binding site in the query structure. Based on large scale benchmarking analysis, we have observed that a BS-score >1 reflects a significant local match between the predicted and template binding site.
(c)	TM-score is a measure of global structural similarity between query and template protein.
(d)	RMSD^a the RMSD between residues that are structurally aligned by TM-align.
(e)	IDEN^a is the percentage sequence identity in the structurally aligned region.
(f)	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.

[Click result.zip to download all results on this page]

References:
1.	Wei Zheng, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Yiheng Zhu, P. Lydia Freddolino, Yang Zhang. Integrating deep learning potentials with I-TASSER for single- and multi-domain protein structure prediction. Submitted. 2023.