D-I-TASSER Q15027-D3

D-I-TASSER results for Q15027-D3

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

Input Sequence in FASTA format

>Q15027 (370 residues)
SPRGPGQGSGHLAIGSAATLGSGGMARGREPGGVGHVVAQVQSVDGNAQCCDCREPAPEW
ASINLGVTLCIQCSGIHRSLGVHFSKVRSLTLDSWEPELVKLMCELGNVIINQIYEARVE
AMAVKKPGPSCSRQEKEAWIHAKYVEKKFLTKLPEIRGRRGGRGRPRGQPPVPPKPSIRP
RPGSLRSKPEPPSEDLGSLHPGALLFRASGHPPSLPTMADALAHGADVNWVNGGQDNATP
LIQATAANSLLACEFLLQNGANVNQADSAGRGPLHHATILGHTGLACLFLKRGADLGARD
SEGRDPLTIAMETANADIVTLLRLAKMREAEAAQGQAGDETYLDIFRDFSLMASDDPEKL
SRRSHDLHTL

Predicted Secondary Structure

Sequence	20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| SPRGPGQGSGHLAIGSAATLGSGGMARGREPGGVGHVVAQVQSVDGNAQCCDCREPAPEWASINLGVTLCIQCSGIHRSLGVHFSKVRSLTLDSWEPELVKLMCELGNVIINQIYEARVEAMAVKKPGPSCSRQEKEAWIHAKYVEKKFLTKLPEIRGRRGGRGRPRGQPPVPPKPSIRPRPGSLRSKPEPPSEDLGSLHPGALLFRASGHPPSLPTMADALAHGADVNWVNGGQDNATPLIQATAANSLLACEFLLQNGANVNQADSAGRGPLHHATILGHTGLACLFLKRGADLGARDSEGRDPLTIAMETANADIVTLLRLAKMREAEAAQGQAGDETYLDIFRDFSLMASDDPEKLSRRSHDLHTL
Prediction	CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCCCCCCCCCCCCCSSSSCCCSSSHHCHCHHHCCCCCCCCSSSSCCCCCCCHHHHHHHHHHCHHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHCCCCHHHCCCCCHHHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCCCHHHHHHCCCCC
Confidence	9988555677777888766666654322240579999999980989582455899999768840212441100244237888531677422799999999999997648899999850653355666752024444566541011121101122211111122222333211234442010023455320132111111221013455554224699999997089878878898998889999982999999999992999888789999879999991999999999990999876678999979999992998999999980754433223455567679999999724104896001242269989
	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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| SPRGPGQGSGHLAIGSAATLGSGGMARGREPGGVGHVVAQVQSVDGNAQCCDCREPAPEWASINLGVTLCIQCSGIHRSLGVHFSKVRSLTLDSWEPELVKLMCELGNVIINQIYEARVEAMAVKKPGPSCSRQEKEAWIHAKYVEKKFLTKLPEIRGRRGGRGRPRGQPPVPPKPSIRPRPGSLRSKPEPPSEDLGSLHPGALLFRASGHPPSLPTMADALAHGADVNWVNGGQDNATPLIQATAANSLLACEFLLQNGANVNQADSAGRGPLHHATILGHTGLACLFLKRGADLGARDSEGRDPLTIAMETANADIVTLLRLAKMREAEAAQGQAGDETYLDIFRDFSLMASDDPEKLSRRSHDLHTL
Prediction	8464655445444444424244553555554641340053037365143001051650400001000000010001017133210101004116044400300331234202200333144432432222122221221222422222221222222222222222222222222021212221222223223322222222221221102222141032002201302334647512000000023221100000032103154417512000000032413200110052304153416522000000143413200300341334535235534344001100310053126544514422644324
	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 AttentionPotential. 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

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

SS
Seq

CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCCCCCCCCCCCCCSSSSCCCSSSHHCHCHHHCCCCCCCCSSSSCCCCCCCHHHHHHHHHHCHHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHCCCCHHHCCCCCHHHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCCCCHHHHHHHHHHHHCCCCCCHHHHHHCCCCC
SPRGPGQGSGHLAIGSAATLGSGGMARGREPGGVGHVVAQVQSVDGNAQCCDCREPAPEWASINLGVTLCIQCSGIHRSLGVHFSKVRSLTLDSWEPELVKLMCELGNVIINQIYEARVEAMAVKKPGPSCSRQEKEAWIHAKYVEKKFLTKLPEIRGRRGGRGRPRGQPPVPPKPSIRPRPGSLRSKPEPPSEDLGSLHPGALLFRASGHPPSLPTMADALAHGADVNWVNGGQDNATPLIQATAANSLLACEFLLQNGANVNQADSAGRGPLHHATILGHTGLACLFLKRGADLGARDSEGRDPLTIAMETANADIVTLLRLAKMREAEAAQGQAGDETYLDIFRDFSLMASDDPEKLSRRSHDLHTL

1dcqA

0.22

0.15

4.85

1.00

DEthreader

----------------------L----------TKEIISEVQRMTGNDVCCCGAP-DPTWLSTNLGILT---CIECSG-IHRELSRMQSLTLDVLGTSELLLAKNIGNAGFNEIMECCLP-SEDPVKP--NPGSDMIARKDYITAKERYARKK------------------------------------------HADAAKLHSLCEAVK-TRDIFGLLQAYADGVDLTEKIPLAPDETALHLAVRSVSLHIVDFLVQNSGNLDKQTGKGSTALHYCCLTDNAECLKLLLRGKASIEIANESGETPLDIAKRLKHEHCEELLTQALSG-----------RFNSH-V--HV---------E----------

3jueA

0.98

0.66

18.63

3.87

SPARKS-K

---------------------------------VGHVVAQVQSVDGNAQCCDCREPAPEWASINLGVTLCIQCSGIHRSLGVHFSKVRSLTLDSWEPELVKLMCELGNVIINQIYEARVEAMAVKKPGPSCSRQEKEAWIHAKYVEKKFLT------------KLPLH--------------------------------PGALLFRASGHPPSLPTMADALAHGADVNWVNGGQDNATPLIQATAANSLLACEFLLQNGANVNQADSAGRGPLHHATILGHTGLACLFLKRGADLGARDSEGRDPLTIAMETANADIVTLLRLAKM-------------------------------------------

3jueA

1.00

0.66

18.62

0.87

MapAlign

----------------------------------GHVVAQVQSVDGNAQCCDCREPAPEWASINLGVTLCIQCSGIHRSLGVHFSKVRSLTLDSWEPELVKLMCELGNVIINQIYEARVEAMAVKKPGPSCSRQEKEAWIHAKYVEKKFLTKL---------------------------------------------PHPGALLFRASGHPPSLPTMADALAHGADVNWVNGGQDNATPLIQATAANSLLACEFLLQNGANVNQADSAGRGPLHHATILGHTGLACLFLKRGADLGARDSEGRDPLTIAMETANADIVTLLRLAK--------------------------------------------

3jueA

1.00

0.68

18.92

0.61

CEthreader

---------------------------------VGHVVAQVQSVDGNAQCCDCREPAPEWASINLGVTLCIQCSGIHRSLGVHFSKVRSLTLDSWEPELVKLMCELGNVIINQIYEARVEAMAVKKPGPSCSRQEKEAWIHAKYVEKKFLTKLP--------------------------------------------LHPGALLFRASGHPPSLPTMADALAHGADVNWVNGGQDNATPLIQATAANSLLACEFLLQNGANVNQADSAGRGPLHHATILGHTGLACLFLKRGADLGARDSEGRDPLTIAMETANADIVTLLRLAKM-------------------------------------------

3jueA

1.00

0.67

18.85

2.05

MUSTER

---------------------------------VGHVVAQVQSVDGNAQCCDCREPAPEWASINLGVTLCIQCSGIHRSLGVHFSKVRSLTLDSWEPELVKLMCELGNVIINQIYEARVEAMAVKKPGPSCSRQEKEAWIHAKYVEKKFLTKLPL--------------------------------------------HPGALLFRASGHPPSLPTMADALAHGADVNWVNGGQDNATPLIQATAANSLLACEFLLQNGANVNQADSAGRGPLHHATILGHTGLACLFLKRGADLGARDSEGRDPLTIAMETANADIVTLLRLAKM-------------------------------------------

3lvqE

0.30

0.24

7.12

2.60

HHsearch

-------------------------------DLTKLLIAEVKSRPGNSQCCDCGAADPTWLSTNLGVLTCIQCSGVHRELGVRFSRMQSLTLDLLGPSELLLALNMGNTSFNEVMEAQLPSHGGPKPSAESDMGTRRDYIMAKYVEHRFARRCTE----------------------------------------------PQRLWTAIC-NRDLLSVLEAFANGQDFGQPLAQAPEELVLHLAVKVANLPLVDFIIQNGGHLDAKAADGNTALHYAALYNQPDCLKLLLKGRALVGTVNEAGETALDIARKKHHKECEELLEQAQANKEMRILGAAGKTTIL---YKL-KLGQ-SVTTIPTVTYKNVKF

3jueA

1.00

0.67

18.77

2.54

FFAS-3D

----------------------------------GHVVAQVQSVDGNAQCCDCREPAPEWASINLGVTLCIQCSGIHRSLGVHFSKVRSLTLDSWEPELVKLMCELGNVIINQIYEARVEAMAVKKPGPSCSRQEKEAWIHAKYVEKKFLTKLPL--------------------------------------------HPGALLFRASGHPPSLPTMADALAHGADVNWVNGGQDNATPLIQATAANSLLACEFLLQNGANVNQADSAGRGPLHHATILGHTGLACLFLKRGADLGARDSEGRDPLTIAMETANADIVTLLRLAKM-------------------------------------------

1dcqA

0.29

0.21

6.49

1.18

EigenThreader

--------------------------------LTKEIISEVQRMTGNDVCCDCGAPDPTWLSTNLGILTCIECSGIHRELGVHYSRMQSLTLDVLGTSELLLAKNIGNAGFNEIMECCLPSEDPVKPNPGSDMIARKDYITAKYMERRYARKK------------------------------------HAD-----TAAKLHSLCEAVKT-RDIFGLLQAYADGVDLTEKIPHEPDETALHLAVRSVSLHIVDFLVQNSGNLDKQTGKGSTALHYCCLTDNAECLKLLLRGKASIEIANESGETPLDIAKRLKHEHCEELLTQALSGRF-----NSHV----------------------HVEYEWRLL

3t9kA

1.00

0.76

21.26

3.42

CNFpred

----------------------------------GHVVAQVQSVDGNAQCCDCREPAPEWASINLGVTLCIQCSGIHRSLGVHFSKVRSLTLDSWEPELVKLMCELGNVIINQIYEARVEAMAVKKPGPSCSRQEKEAWIHAKYVEKKFLTKLPEIRG---------------------------------------SLHPGALLFRASGHPPSLPTMADALAHGADVNWVNGGQDNATPLIQATAANSLLACEFLLQNGANVNQADSAGRGPLHHATILGHTGLACLFLKRGADLGARDSEGRDPLTIAMETANADIVTLLRLAKMREAEAAQGQAGDETYLDIFRDFSL-ASD---------------

3jueA

0.84

0.56

15.69

1.00

DEthreader

---------------------------------VGHVVAQVQSVDGNAQCCDCREPAPEWASINLGVTL---CIQCSGIHRSGVSKVRSLTLDSWEPELVKLMCELGNVIINQIYEARVEAMAVKKPG--PSCS-RQEKEAWIHAVEKKFLTKL-----------------------------------------P-L-HPGALLFRASGHPPSLPTMADALAHGADVNWVNGGQDNATPLIQATAANSLLACEFLLQNGANVNQADSAGRGPLHHATILGHTGLACLFLKRGADLGARDSEGRDPLTIAMEANAD-IVTLLRLAKM-------------------------------------------

(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	0.6228

(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 AttentionPotential, 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	3jueA	0.66	1.03	0.992	0.676	model1_3jueA.pdb.gz
2	1dcqA	0.65	2.54	0.290	0.719	model1_1dcqA.pdb.gz
3	3lvqE1	0.63	2.01	0.337	0.673	model1_3lvqE1.pdb.gz
4	6jmtA	0.54	3.07	0.244	0.600	model1_6jmtA.pdb.gz
5	6ez8A	0.44	6.42	0.066	0.705	model1_6ez8A.pdb.gz
6	6h02A	0.44	6.55	0.044	0.719	model1_6h02A.pdb.gz
7	5zcsE	0.44	6.22	0.045	0.670	model1_5zcsE.pdb.gz
8	4q1vA2	0.43	6.56	0.042	0.705	model1_4q1vA2.pdb.gz
9	5d06A	0.43	6.63	0.052	0.708	model1_5d06A.pdb.gz
10	2f6dA	0.43	6.30	0.069	0.676	model1_2f6dA.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:0098772	0.64	molecular function regulator
GO:0097367	0.62	carbohydrate derivative binding
GO:0046872	0.62	metal ion binding
GO:0019899	0.62	enzyme binding
GO:0030234	0.61	enzyme regulator activity
GO:0003824	0.61	catalytic activity
GO:0030695	0.59	GTPase regulator activity
GO:0008047	0.59	enzyme activator activity
GO:1901363	0.58	heterocyclic compound binding
GO:0097159	0.58	organic cyclic compound binding
GO:0005096	0.58	GTPase activator activity
GO:0008092	0.55	cytoskeletal protein binding
GO:0036094	0.54	small molecule binding
GO:0032555	0.53	purine ribonucleotide binding
GO:0032550	0.53	purine ribonucleoside binding
GO:0046983	0.52	protein dimerization activity
GO:0046982	0.51	protein heterodimerization activity
GO:0035639	0.51	purine ribonucleoside triphosphate binding

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:0065007	0.90	biological regulation
GO:0050789	0.86	regulation of biological process
GO:0050794	0.84	regulation of cellular process
GO:0009987	0.83	cellular process
GO:0044699	0.79	single-organism process
GO:0044763	0.72	single-organism cellular process
GO:0051179	0.64	localization
GO:0007165	0.64	signal transduction
GO:0016043	0.62	cellular component organization
GO:0006810	0.62	transport
GO:0048518	0.61	positive regulation of biological process
GO:0065009	0.60	regulation of molecular function
GO:0048522	0.60	positive regulation of cellular process
GO:0044767	0.60	single-organism developmental process
GO:0050790	0.58	regulation of catalytic activity
GO:0008152	0.58	metabolic process
GO:0048519	0.57	negative regulation of biological process
GO:0071704	0.56	organic substance metabolic process
GO:0060255	0.56	regulation of macromolecule metabolic process
GO:0051128	0.56	regulation of cellular component organization
GO:0048523	0.56	negative regulation of cellular process
GO:0044237	0.56	cellular metabolic process
GO:0043087	0.56	regulation of GTPase activity
GO:0080090	0.55	regulation of primary metabolic process
GO:0048869	0.55	cellular developmental process
GO:0048856	0.55	anatomical structure development
GO:0031323	0.55	regulation of cellular metabolic process
GO:0008104	0.55	protein localization
GO:0050896	0.54	response to stimulus
GO:0032879	0.54	regulation of localization
GO:0044093	0.53	positive regulation of molecular function
GO:0032501	0.53	multicellular organismal process
GO:0015031	0.53	protein transport
GO:0065008	0.52	regulation of biological quality
GO:0051641	0.52	cellular localization
GO:0051130	0.52	positive regulation of cellular component organization
GO:0044707	0.52	single-multicellular organism process
GO:0044260	0.52	cellular macromolecule metabolic process
GO:0043547	0.52	positive regulation of GTPase activity
GO:1902578	0.51	single-organism localization
GO:0060341	0.51	regulation of cellular localization
GO:0048583	0.51	regulation of response to stimulus
GO:0023051	0.51	regulation of signaling
GO:0010646	0.51	regulation of cell communication
GO:1904951	0.50	positive regulation of establishment of protein localization
GO:1903829	0.50	positive regulation of cellular protein localization
GO:0051270	0.50	regulation of cellular component movement
GO:0046907	0.50	intracellular transport
GO:0044765	0.50	single-organism transport
GO:0042981	0.50	regulation of apoptotic process

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:0044464	0.99	cell part
GO:0044424	0.94	intracellular part
GO:0044444	0.61	cytoplasmic part
GO:0043226	0.61	organelle
GO:0043229	0.58	intracellular organelle
GO:0043227	0.56	membrane-bounded organelle
GO:0005737	0.55	cytoplasm
GO:0043231	0.54	intracellular membrane-bounded organelle
GO:0016020	0.51	membrane

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	2ze4A	0.397	7.17	0.050	0.695	3.1.4.4	NA
2	0.060	1r9mB	0.413	6.44	0.036	0.662	3.4.14.5	NA
3	0.060	1e5tA	0.410	6.67	0.041	0.676	3.4.21.26	NA
4	0.060	1h16A	0.404	6.65	0.038	0.654	2.3.1.54	NA
5	0.060	1b0pA	0.398	7.31	0.053	0.705	1.2.7.1	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:

Rank	Cscore^LB	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	BS-score	Lig. Name	Download Complex	Predicted binding site residues
1	0.06	2b0o0	0.641	2.21	0.319	0.695	1.11	III	complex1.pdb.gz	33,78,79,81,82,83,86,88,92,93,94,97,101,259,262,263,264,266,284,287,288,290,293,295,297,298,299,321
2	0.01	2gbcA	0.436	6.40	0.033	0.695	0.53	NDG	complex2.pdb.gz	297,304,306
3	0.01	2bgnB	0.380	7.24	0.034	0.673	0.88	UUU	complex3.pdb.gz	242,270,272
4	0.01	2qjrA	0.403	6.83	0.042	0.670	0.54	UUU	complex4.pdb.gz	278,281,283,284
5	0.01	3c67B	0.398	7.16	0.050	0.705	0.85	GLC	complex5.pdb.gz	285,288,289,292
6	0.01	2ripA	0.415	6.77	0.052	0.692	0.56	UUU	complex6.pdb.gz	290,294,295,296

	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, 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. In preparation, 2020.