D-I-TASSER Q96LJ7

D-I-TASSER results for Q96LJ7

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

Summary of the Protein

Uniprot ID: Q96LJ7
Protein Name: Dehydrogenase/reductase SDR family member 1
Gene Name: DHRS1

Input Sequence in FASTA format

>Q96LJ7 (313 residues)
MAAPMNGQVCVVTGASRGIGRGIALQLCKAGATVYITGRHLDTLRVVAQEAQSLGGQCVP
VVCDSSQESEVRSLFEQVDREQQGRLDVLVNNAYAGVQTILNTRNKAFWETPASMWDDIN
NVGLRGHYFCSVYGARLMVPAGQGLIVVISSPGSLQYMFNVPYGVGKAACDKLAADCAHE
LRRHGVSCVSLWPGIVQTELLKEHMAKEEVLQDPVLKQFKSAFSSAETTELSGKCVVALA
TDPNILSLSGKVLPSCDLARRYGLRDVDGRPVQDYLSLSSVLSHVSGLGWLASYLPSFLR
VPKWIIALYTSKF

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

Contact Map

Distance Map

D-I-TASSER simulation is guided by the consensus contact map (left figure) and distance map (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.

Information of Domain

No. of Domain	Domain	Domain Boundary	Length of Domain	Models of Domain	Sequence
1	Q96LJ7-D1	1-313	313		MAAPMNGQVCVVTGASRGIGRGIALQLCKAGATVYITGRHLDTLRVVAQEAQSLGGQCVPVVCDSSQESEVRSLFEQVDREQQGRLDVLVNNAYAGVQTILNTRNKAFWETPASMWDDINNVGLRGHYFCSVYGARLMVPAGQGLIVVISSPGSLQYMFNVPYGVGKAACDKLAADCAHELRRHGVSCVSLWPGIVQTELLKEHMAKEEVLQDPVLKQFKSAFSSAETTELSGKCVVALATDPNILSLSGKVLPSCDLARRYGLRDVDGRPVQDYLSLSSVLSHVSGLGWLASYLPSFLRVPKWIIALYTSKF

Top 1 final models from D-I-TASSER

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Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.8798

(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

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

Rank	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	Download Alignment
1	1ipfA	0.78	1.50	0.247	0.815	model1_1ipfA.pdb.gz
2	1ae1B	0.77	1.54	0.209	0.811	model1_1ae1B.pdb.gz
3	1geeA	0.77	2.07	0.225	0.824	model1_1geeA.pdb.gz
4	6qheA	0.77	1.99	0.227	0.815	model1_6qheA.pdb.gz
5	3awdA	0.76	1.59	0.215	0.802	model1_3awdA.pdb.gz
6	3t7cA	0.76	1.88	0.209	0.808	model1_3t7cA.pdb.gz
7	1xkqA	0.76	2.54	0.228	0.834	model1_1xkqA.pdb.gz
8	6k8sA	0.76	2.67	0.214	0.837	model1_6k8sA.pdb.gz
9	1ydeF	0.76	1.86	0.261	0.805	model1_1ydeF.pdb.gz
10	5jy1A	0.76	2.05	0.233	0.811	model1_5jy1A.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:0016491	0.99	oxidoreductase activity
GO:0016616	0.73	oxidoreductase activity, acting on the CH-OH group of donors, NAD or NADP as acceptor

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:0044699	1.00	single-organism process
GO:0008152	1.00	metabolic process
GO:0044710	0.99	single-organism metabolic process
GO:0055114	0.93	oxidation-reduction process
GO:0009987	0.93	cellular process
GO:0071704	0.91	organic substance metabolic process
GO:0044237	0.89	cellular metabolic process
GO:0044763	0.87	single-organism cellular process
GO:0044238	0.83	primary metabolic process
GO:0044281	0.80	small molecule metabolic process
GO:0009058	0.66	biosynthetic process
GO:1901576	0.64	organic substance biosynthetic process
GO:0044249	0.64	cellular biosynthetic process
GO:0006629	0.61	lipid metabolic process
GO:0044711	0.60	single-organism biosynthetic process
GO:0006082	0.60	organic acid metabolic process
GO:0006807	0.59	nitrogen compound metabolic process
GO:0019752	0.58	carboxylic acid metabolic process
GO:1901564	0.57	organonitrogen compound metabolic process
GO:0032787	0.57	monocarboxylic acid metabolic process
GO:1901360	0.55	organic cyclic compound metabolic process
GO:0044255	0.54	cellular lipid metabolic process
GO:0034641	0.51	cellular nitrogen compound metabolic 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	0.96	intracellular part
GO:0044444	0.88	cytoplasmic part
GO:0043226	0.73	organelle
GO:0043229	0.71	intracellular organelle
GO:0043227	0.71	membrane-bounded organelle
GO:0043231	0.69	intracellular membrane-bounded organelle

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

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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	0.531	1x1eA	0.712	1.58	0.248	0.748	1.1.1.125	163,167
2	0.388	3lylA	0.706	1.81	0.221	0.751	1.1.1.100	14,18,93,149,151,163,168,198
3	0.364	1cydD	0.722	1.59	0.261	0.760	1.1.1.184	14,19,21,92,122,151,163
4	0.328	2cfcC	0.741	2.03	0.230	0.792	1.1.1.268	14,92,149,163,194,228
5	0.306	2zatD	0.750	1.97	0.208	0.799	1.1.1.184	19,91,93,230

	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

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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	0.64	2ae2A	0.779	1.50	0.247	0.815	1.33	NAP	complex1.pdb.gz	14,16,17,18,19,38,39,63,64,65,92,94,95,122,149,150,151,163,167,193,194,195,196,198,199,200,201
2	0.32	1xr3A	0.745	1.91	0.256	0.786	0.88	ISZ	complex2.pdb.gz	12,13,14,17,19
3	0.06	2rhcA	0.747	1.93	0.255	0.789	1.28	EMO	complex3.pdb.gz	96,151,152,153,156,158,163,195
4	0.05	1vl80	0.754	1.48	0.252	0.786	0.94	III	complex4.pdb.gz	68,120,125,128,153,155,157,162,164,165,168,169,172,175,176,177,179,180,181
5	0.05	3ai3E	0.760	2.14	0.217	0.811	1.06	SOE	complex5.pdb.gz	4,5,8,88,144,187,240,242
6	0.05	3ai3G	0.758	2.16	0.217	0.811	1.00	SOE	complex6.pdb.gz	17,20,21,24,36,38

	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.