D-I-TASSER results for Q9UHD2-D4

Input Sequence in FASTA format

>Q9UHD2 (99 residues)
HRMVIHVFSLQQMTAHKIYIHSYNTATIFHELVYKQTKIISSNQELIYEGRRLVLEPGRL
AQHFPKTTEENPIFVVSREPLNTIGLIYEKISLPKVHPR

Predicted Secondary Structure

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Sequence
HRMVIHVFSLQQMTAHKIYIHSYNTATIFHELVYKQTKIISSNQELIYEGRRLVLEPGRLAQHFPKTTEENPIFVVSREPLNTIGLIYEKISLPKVHPR
Prediction
CCSSSSSSSCCCCSSSSSSSCCHHHHHHHHHHHHHHHCCCHHHHHHHHCCCSSCCCCCCCCCCCCCCCCCCCSSSSSCCCCCCCCCCCCCCCCCCCCCC
Confidence
974999997377079999977212699999999998399926664441891420279851355688999998799835888631035799999998999

H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

                  20                  40                  60                  80
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Sequence
HRMVIHVFSLQQMTAHKIYIHSYNTATIFHELVYKQTKIISSNQELIYEGRRLVLEPGRLAQHFPKTTEENPIFVVSREPLNTIGLIYEKISLPKVHPR
Prediction
833101002044132020103365314403520263271436303211564304147625054236135630020013446423414276273363458

Values range from 0 (buried residue) to 8 (highly exposed residue)

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

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                    |                   |                   |                   |
							SS	CCSSSSSSSCCCCSSSSSSSCCHHHHHHHHHHHHHHHCCCHHHHHHHHCCCSSCCCCCCCCCCCCCCCCCCCSSSSSCCCCCCCCCCCCCCCCCCCCCC
							Seq	HRMVIHVFSLQQMTAHKIYIHSYNTATIFHELVYKQTKIISSNQELIYEGRRLVLEPGRLAQHFPKTTEENPIFVVSREPLNTIGLIYEKISLPKVHPR
1	5ebzA	0.10	0.09	3.36	1.17	DEthreader		NLKIVHILNMTSAKIISFLLPPDESLHSLQSRIERETGINTGSQELLSETGISLDP-RKPAS-QCVLGCDYMVYLFDKSKTVYEGF-SGLKED------
2	6cq0A2	1.00	0.85	23.76	2.01	SPARKS-K		-RMVIHVFSLQQMTAHKIYIHSYNTATIFHELVYKQTKIISSNQELIYEGRRLVLEPGRLAQHFPKTTEENPIFVVSREPLNTIG--------------
3	1v5oA	0.09	0.07	2.70	0.55	MapAlign		SGMLITVYCVRREVTFSLQVNPDFELSNFRVLCELESGVPAEEAQIVYMEQLLTD-DHCSLGSYG-LKDGDMVVLLQKDN-------------------
4	1v5oA	0.07	0.07	2.86	0.38	CEthreader		SGMLITVYCVRREVTFSLQVNPDFELSNFRVLCELESGVPAEEAQIVYMEQLLT-DDHCSLGSYGLKDG-DMVVLLQKDNVGLRTPGRTPSGPSSG---
5	4iw0A	1.00	1.00	28.00	1.62	MUSTER		HRMVIHVFSLQQMTAHKIYIHSYNTATIFHELVYKQTKIISSNQELIYEGRRLVLEPGRLAQHFPKTTEENPIFVVSREPLNTIGLIYEKISLPKVHPR
6	4iw0A	1.00	1.00	28.00	1.68	HHsearch		HRMVIHVFSLQQMTAHKIYIHSYNTATIFHELVYKQTKIISSNQELIYEGRRLVLEPGRLAQHFPKTTEENPIFVVSREPLNTIGLIYEKISLPKVHPR
7	6cq0A2	1.00	0.85	23.76	1.53	FFAS-3D		-RMVIHVFSLQQMTAHKIYIHSYNTATIFHELVYKQTKIISSNQELIYEGRRLVLEPGRLAQHFPKTTEENPIFVVSREPLNTIG--------------
8	4iw0A	0.89	0.88	24.72	0.77	EigenThreader		HRMVIHVFSLQQMTAHKIYIHSYNTATIFHELVYKQTKIISSNQELIYEG-RRLVLEPGRLAQFPKTTEENPIFVVSREPLNTIGLIYEKISLPKVHPR
9	4iwoA	1.00	1.00	28.00	1.73	CNFpred		HRMVIHVFSLQQMTAHKIYIHSYNTATIFHELVYKQTKIISSNQELIYEGRRLVLEPGRLAQHFPKTTEENPIFVVSREPLNTIGLIYEKISLPKVHPR
10	6d2kA	0.13	0.11	3.88	1.17	DEthreader		KHMRIRVKLL-DSTVELFDIEPKCDGQVLLTQVWKHLNLICDYFGLEFKYWIWLEP-MKPIIRQVRKPKNAVLRLAVKPFALQLKRLNE----------


(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

Rank^a	Estimated TM-score^b
1	0.7328


(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.
1	6cq0A	0.86	1.30	0.869	0.919
2	4eutA	0.77	0.75	1.000	0.798
3	5ebzA	0.72	2.31	0.093	0.899
4	2kk8A	0.66	1.55	0.160	0.758
5	2w9nA1	0.59	2.12	0.151	0.727
6	3q3fA2	0.59	2.29	0.151	0.758
7	2dziA	0.57	2.33	0.147	0.748
8	1we7A	0.57	2.36	0.098	0.748
9	1cm8A	0.40	4.47	0.050	0.737
10	1fvrB2	0.39	3.93	0.045	0.677



(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:0003824	0.75	catalytic activity
GO:0016740	0.72	transferase activity
GO:0004674	0.70	protein serine/threonine kinase activity
GO:0051219	0.58	phosphoprotein binding






(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:

Biological Process (BP)


GO term	Cscore^GO	Name
GO:0048522	1.00	positive regulation of cellular process
GO:0050896	0.88	response to stimulus
GO:0048584	0.88	positive regulation of response to stimulus
GO:0006950	0.87	response to stress
GO:0009987	0.86	cellular process
GO:0008152	0.84	metabolic process
GO:0044238	0.83	primary metabolic process
GO:0044237	0.83	cellular metabolic process
GO:0043170	0.83	macromolecule metabolic process
GO:0080090	0.82	regulation of primary metabolic process
GO:0060255	0.82	regulation of macromolecule metabolic process
GO:0044260	0.82	cellular macromolecule metabolic process
GO:0031323	0.82	regulation of cellular metabolic process
GO:0051246	0.81	regulation of protein metabolic process
GO:0031325	0.81	positive regulation of cellular metabolic process
GO:0010604	0.81	positive regulation of macromolecule metabolic process
GO:0006464	0.81	cellular protein modification process
GO:0051247	0.80	positive regulation of protein metabolic process
GO:0006468	0.80	protein phosphorylation
GO:0048519	0.79	negative regulation of biological process
GO:0002376	0.79	immune system process
GO:0001817	0.79	regulation of cytokine production
GO:0080134	0.78	regulation of response to stress
GO:0051704	0.78	multi-organism process
GO:0009605	0.78	response to external stimulus
GO:0002684	0.78	positive regulation of immune system process
GO:0051707	0.77	response to other organism
GO:0032479	0.77	regulation of type I interferon production
GO:0002218	0.77	activation of innate immune response
GO:0051240	0.69	positive regulation of multicellular organismal process
GO:0031326	0.69	regulation of cellular biosynthetic process
GO:0010556	0.69	regulation of macromolecule biosynthetic process
GO:0010468	0.69	regulation of gene expression
GO:0044699	0.68	single-organism process
GO:0031328	0.68	positive regulation of cellular biosynthetic process
GO:0010557	0.68	positive regulation of macromolecule biosynthetic process
GO:0006952	0.68	defense response
GO:0001819	0.68	positive regulation of cytokine production
GO:0032728	0.67	positive regulation of interferon-beta production
GO:0018105	0.60	peptidyl-serine phosphorylation
GO:0007165	0.53	signal transduction
GO:0006355	0.50	regulation of transcription, DNA-templated






(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:

Cellular Component (CC)


GO term	Cscore^GO	Name
GO:0005737	1.00	cytoplasm
GO:0044444	0.76	cytoplasmic part
GO:0005829	0.60	cytosol
GO:0016020	0.52	membrane
GO:0044422	0.51	organelle part
GO:0044446	0.50	intracellular organelle part






(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:

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	0.067	2nptD	0.545	2.91	0.027	0.737	2.7.11.25	NA
2	0.060	2qjoB	0.497	3.78	0.072	0.778	2.7.7.1	NA
3	0.060	2dsbA	0.487	3.85	0.061	0.758	3.6.1.13	NA
4	0.060	2jrhA	0.527	3.04	0.073	0.748	2.7.11.25	NA
5	0.060	2j0mA	0.565	3.43	0.102	0.859	2.7.10.2	NA



(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	Predicted binding site residues
1	0.10	2bkr1	0.584	2.29	0.195	0.748	1.04	III	8,10,45,47,48,49,50,51,52,54,55,56,65,74,76,77,78
2	0.03	2c7n1	0.579	2.22	0.178	0.737	0.76	III	8,9,10,45,47,48,49,50,52,72,74,76,77,78



(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.

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.