D-I-TASSER A5PLN9-D3

D-I-TASSER results for A5PLN9-D3

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

Input Sequence in FASTA format

>A5PLN9 (130 residues)
LKPLDVKTKFYNAESDLSSVTDEVFLEAQIQNMTTSPMFMEKVSLEPSIMYNVTELNSVS
QAGECVSTFGSRAYLQPMDTRQYLYCLKPKNEFAEKAGIIKGVTVIGKLDIVWKTNLGER
GRLQTSQLQR

Predicted Secondary Structure

Sequence	20 40 60 80 100 120 \| \| \| \| \| \| LKPLDVKTKFYNAESDLSSVTDEVFLEAQIQNMTTSPMFMEKVSLEPSIMYNVTELNSVSQAGECVSTFGSRAYLQPMDTRQYLYCLKPKNEFAEKAGIIKGVTVIGKLDIVWKTNLGERGRLQTSQLQR
Prediction	CCCCSSSSCSCCCCCCCCCCCCSSSSSSSSSSCCCCCSSSSSSSSSCCCCCSSSSCCCCCCCCCCCCCCCCCCSSCCCCSSSSSSSSSSCCCCCCCCCCCCCCCSSSSSSSSSCCCCCCCCSSSSCCCCC
Confidence	9972776100378776543365399999888478996699999982788956898578777787766557620338897699999998688764434345687424469989804789884134125449
	H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

Sequence	20 40 60 80 100 120 \| \| \| \| \| \| LKPLDVKTKFYNAESDLSSVTDEVFLEAQIQNMTTSPMFMEKVSLEPSIMYNVTELNSVSQAGECVSTFGSRAYLQPMDTRQYLYCLKPKNEFAEKAGIIKGVTVIGKLDIVWKTNLGERGRLQTSQLQR
Prediction	7633403030333745445344300000001233743030130404256414154134445788554344533204454021000103355644765543733330230203132434440304336368
	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

                   |                   |                   |                   |                   |                   |

SS
Seq

CCCCSSSSCSCCCCCCCCCCCCSSSSSSSSSSCCCCCSSSSSSSSSCCCCCSSSSCCCCCCCCCCCCCCCCCCSSCCCCSSSSSSSSSSCCCCCCCCCCCCCCCSSSSSSSSSCCCCCCCCSSSSCCCCC
LKPLDVKTKFYNAESDLSSVTDEVFLEAQIQNMTTSPMFMEKVSLEPSIMYNVTELNSVSQAGECVSTFGSRAYLQPMDTRQYLYCLKPKNEFAEKAGIIKGVTVIGKLDIVWKTNLGERGRLQTSQLQR

6to1A2

0.08

3.03

1.17

DEthreader

VVPVAVDKYAVPVAPMDPENPNAWDVTLKITTKAIIGIQRGEVTDFVAPGFIVKNL-GDVT--HLLNVSNGTGTILSSSEATITYRIYADLDYIQNN---DGGFDTNEAKLTYTNNGESNQQLIFPRPTV

5hljA

0.15

0.13

4.38

0.92

SPARKS-K

KKGDIILTSLLDHTLNVNKESKELELYARVYNNTKRDITVDSVSLSPG-------LNATGRENKFVLYF-KPTVLKKNRINTLVFGATFDEDIDDTNRH-------YLLSMRFSPGNDLFKVGEK-----

4g1eA2

0.08

3.28

0.63

MapAlign

LAAVEIRGVSSPVPETEEDVGPVVQHIYELRNNGPSSFSKAMLHLQWPTLLYILYDDMGCGVAQCLKIVCQVGRLDRGKSAILYVKSLLWTETFMNKENQNHSYSLSSASFNVEFPYIEDITNSTLTTNV

1pzdA

0.13

0.11

3.71

0.57

CEthreader

ETEYVIRCTKHTF-------TDHMVFQFDCTNTNDQTLENVTVQMEPSEAYEVLCYVP-------------ARSLPYNQPGTCYTLVALPKEDP------TAVACTFSCVMKFTVKEGYEDEYVLEDLEV

4kkpA2

0.13

0.11

3.73

0.59

MUSTER

LNGLTIDIKNQFGINSVESTGGFVPFTVDLNNGREGEANVEFWTAVGPDGLIIPVNAREK------------WVIASGDTYSKVRGINFDKSYPA-----------GEYTINAQVVDIVSGRVEQSTVVK

2b39A5

0.09

0.07

2.64

0.65

HHsearch

-QDFFIDLRLPYS---V-VRNEQVEIRAILYNYREANLKV-RVELLYNPAFCSLATAKK--------RHQQTITIPARSSVAVPYVIVPLKI--------------GLHEVEVKAAVYNHF--ISDGVKK

4acqA3

0.15

0.11

3.61

0.61

FFAS-3D

-QPFFVELTM----PYSVIRGEAFTLKATVLNYLPKCIRVS-VQLEASPAFLAVP----------VEKEQAPHCICANGRQTVSWAVTPKS--------------LGNVNFTVSAEALESQ---------

5cn1A

0.09

0.07

2.68

0.60

EigenThreader

SDHLRIDYELTRE------SMTKLRLVIFYSNISSDPITNFALLVASPKGTTLSLQP-----------QSGNMLQSNSRGIKQIASVEGISVNL-------GKPIKLKWKANYCTKGDSKEESGTTSLP-

4acqA

0.14

0.09

3.16

0.90

CNFpred

FQPFFVELTMP---YSVIR-GEAFTLKATVLNYLPKCIRVS-VQLEASPAFLAVPVEKEQ----------APHCICANGRQTVSWAVTPK--------------SLGNVNFTVSAE--------------

2ww8A3

0.09

0.08

2.97

1.17

DEthreader

IPEGTLSKRIYQV-N-NL-DDNQYGIELTVSGKTVKKIENGTITDPMGELIDLQL----RFDPADYTLTLNALYLGTDEKVTLTYNVRLNDEF--VS--N-KFYDTNGTTLHPKE--VEQTVRDFPIPKI

(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	0.7903

(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	1xq4A	0.67	2.74	0.101	0.831	model1_1xq4A.pdb.gz
2	6to1A	0.67	3.81	0.086	0.946	model1_6to1A.pdb.gz
3	4g1eA2	0.66	3.74	0.086	0.969	model1_4g1eA2.pdb.gz
4	2lkfA	0.66	3.22	0.099	0.885	model1_2lkfA.pdb.gz
5	1edyA	0.66	3.26	0.078	0.877	model1_1edyA.pdb.gz
6	1klfP1	0.66	3.07	0.081	0.900	model1_1klfP1.pdb.gz
7	4tw1B	0.66	3.30	0.076	0.908	model1_4tw1B.pdb.gz
8	4h56A	0.65	3.19	0.043	0.892	model1_4h56A.pdb.gz
9	1t5rE	0.65	3.26	0.058	0.885	model1_1t5rE.pdb.gz
10	5hdwA	0.65	2.99	0.055	0.839	model1_5hdwA.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:0003824	0.44	catalytic activity
GO:1901981	0.41	phosphatidylinositol phosphate binding
GO:0032182	0.41	ubiquitin-like protein 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:0043581	1.00	mycelium development
GO:0009987	0.62	cellular process
GO:0006810	0.61	transport
GO:0016192	0.59	vesicle-mediated transport
GO:0008152	0.50	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	0.95	cell part
GO:0044424	0.80	intracellular part
GO:0005576	0.78	extracellular region
GO:0043226	0.60	organelle
GO:0044444	0.52	cytoplasmic part
GO:0043227	0.52	membrane-bounded organelle
GO:0043229	0.50	intracellular 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

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	0.066	2vn6A	0.589	3.88	0.104	0.885	3.2.1.4	8
2	0.060	1i82A	0.593	3.58	0.082	0.846	3.2.1.8	112
3	0.060	1ogpE	0.522	3.29	0.081	0.723	1.8.3.1	NA
4	0.060	2o4eA	0.576	3.70	0.087	0.869	3.2.1.52	72
5	0.060	1h19A	0.522	4.04	0.053	0.831	3.3.2.6	43

	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	0.04	1kiuJ	0.657	3.16	0.090	0.908	0.49	MMA	complex1.pdb.gz	32,34,38,115,120
2	0.02	3hs8A	0.632	2.29	0.111	0.761	0.45	III	complex2.pdb.gz	39,41,42,43,112,114,115,118,119,120
3	0.02	1ze33	0.527	3.07	0.104	0.715	0.52	III	complex3.pdb.gz	2,3,4,5,6,10,11,12,28,34,106,107,108,109,110,111,112

	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.