D-I-TASSER results for Q86TP1-D2

Input Sequence in FASTA format

>Q86TP1 (225 residues)
TTEQMLRKDQKTIYRQGVKVAISAIYMDLEAFLQRSNLLADLHAFCQAHSYDVLVAMTIF
FNTHNEPVRQLAIFCPHVALQTTICEVLERSHSPPLKLTPASSTHPNLHAYLQGNTQVSR
KKLLPLLQEALSAYFDSMKIPSGQPETADVSREQVDKELDRASNSLISGLSQDEEDPPLP
PTPMNSLVDECPLDQGLPKLSAEAVFEKCSQISLSQSTTASLSKK

Predicted Secondary Structure

                  20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220
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Sequence
TTEQMLRKDQKTIYRQGVKVAISAIYMDLEAFLQRSNLLADLHAFCQAHSYDVLVAMTIFFNTHNEPVRQLAIFCPHVALQTTICEVLERSHSPPLKLTPASSTHPNLHAYLQGNTQVSRKKLLPLLQEALSAYFDSMKIPSGQPETADVSREQVDKELDRASNSLISGLSQDEEDPPLPPTPMNSLVDECPLDQGLPKLSAEAVFEKCSQISLSQSTTASLSKK
Prediction
CHHHHHHHHHHHSSCCCSSSSSSSSSSCHHHHHHCHHHHHHHHHHHHHHCCCSSSSSSSSSCCCCCSSSSSSSSSCCHHHHHHHHHHHHHCCCCCCSSSSCCCCCCCSSSSSCCCCCCCCHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHCCCCCCCCCCCCC
Confidence
889998876551035975999975431399998620199999999999299699998767659994688899995686899999999996479973225757899867999727962111248999999998434323555678776543211278655777655544456777889999998632355686667888889999999987503357886322479

H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

                  20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220
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Sequence
TTEQMLRKDQKTIYRQGVKVAISAIYMDLEAFLQRSNLLADLHAFCQAHSYDVLVAMTIFFNTHNEPVRQLAIFCPHVALQTTICEVLERSHSPPLKLTPASSTHPNLHAYLQGNTQVSRKKLLPLLQEALSAYFDSMKIPSGQPETADVSREQVDKELDRASNSLISGLSQDEEDPPLPPTPMNSLVDECPLDQGLPKLSAEAVFEKCSQISLSQSTTASLSKK
Prediction
745310330013136662300000033304301537503620350066360100000001137764220100000444512530151036256360504516472430100303225201420030023006431752555544564541446646651464544235434546564433343133024513265221512152015204603445445554678

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                 100                 120                 140                 160                 180                 200                 220                    |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |
							SS	CHHHHHHHHHHHSSCCCSSSSSSSSSSCHHHHHHCHHHHHHHHHHHHHHCCCSSSSSSSSSCCCCCSSSSSSSSSCCHHHHHHHHHHHHHCCCCCCSSSSCCCCCCCSSSSSCCCCCCCCHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHCCCCCCCCCCCCC
							Seq	TTEQMLRKDQKTIYRQGVKVAISAIYMDLEAFLQRSNLLADLHAFCQAHSYDVLVAMTIFFNTHNEPVRQLAIFCPHVALQTTICEVLERSHSPPLKLTPASSTHPNLHAYLQGNTQVSRKKLLPLLQEALSAYFDSMKIPSGQPETADVSREQVDKELDRASNSLISGLSQDEEDPPLPPTPMNSLVDECPLDQGLPKLSAEAVFEKCSQISLSQSTTASLSKK
1	2qb6A	0.22	0.13	4.06	0.83	DEthreader		SVSDILKKDYKQFNFQGLEIGLSSIVKRMSWLFNHGDFVNQCRRFQAERGLDVLVLLTSWRK-AGDSHRELVILG-DSNVVRELIERVSD--K--LQLQLFGGNLGGVAMFKQLNVEATRKQVVPYLEEAYSNL---EE--------------------------------------------------------------------------------------
2	2qb6A2	0.23	0.12	3.90	1.26	SPARKS-K		--------DYKQFNFQGLEIGLSSIVKRMSWLFNEADFVNQCRRFQAERGLDVLVLLTSWRKA-GDSHRELVILGD-----SNVVRELIERVSDKLQLQLFGGNLDGVAMFKQLNVEATRKQVVPYLEEAYSNLEE-----------------------------------------------------------------------------------------
3	2qb6A	0.22	0.12	3.94	1.26	MapAlign		SVSDILKKDYKQFNFKGLEIGLSSIVKRMSWLFNEADFVNQCRRFQAERGLDVLVLLTSWRK-AGDSHRELVILGD-SNVVRELIERVSD----KLQLQLFGGNLGGVAMFKQLNVEATRKQVVPYLEEAYSNLEE-----------------------------------------------------------------------------------------
4	2qb6A	0.23	0.13	4.18	1.18	CEthreader		SVSDILKKDYKQFNFQGLEIGLSSIVKRMSWLFNEHGFVNQCRRFQAERGLDVLVLLTSWRKA-GDSHRELVILGD-----SNVVRELIERVSDKLQLQLFGGNDGGVAMFKQLNVEATRKQVVPYLEEAYSNLEE-----------------------------------------------------------------------------------------
5	2qb6A	0.23	0.13	4.18	0.99	MUSTER		SVSDILKKDYKQFNFQGLEIGLSSIVKRMSWLFNEADFVNQCRRFQAERGLDVLVLLTSWR-KAGDSHRELVILGD-----SNVVRELIERVSDKLQLQLFGGNDGGVAMFKQLNVEATRKQVVPYLEEAYSNLEE-----------------------------------------------------------------------------------------
6	2qb6A2	0.23	0.12	3.90	3.57	HHsearch		--------DYKQFNFQGLEIGLSSIVKRMSWLFNEHDFVNQCRRFQAERGLDVLVLLTSWRK-AGDSHRELVILGDS-N----VVRELIERVSDKLQLQLFGGLDGGVAMFKQLNVEATRKQVVPYLEEAYSNLEE-----------------------------------------------------------------------------------------
7	2qb6A2	0.22	0.12	3.78	1.47	FFAS-3D		--------DYKQFNHKGLEIGLSSIVKRMSWLFNEHGFVNQCRRFQAERGLDVLVLLTSWR-KAGDSHRELVILGDSNVVRELIERVSDK-----LQLQLFGGNDGGVAMFKQLNVEATRKQVVPYLEEAYSNLEE-----------------------------------------------------------------------------------------
8	2qb6A2	0.23	0.12	3.76	0.82	EigenThreader		--------DYKQFNFQGLEIGLSSIVKRMSWLFNEHGGVNQCRRFQAERGLDVLVLLTSWRKG--DSHRELVILGD-SNVVRELIERVSDK----LQLQLLDG---GVAMFKQLNVEATRKQVVPYLEEAYSNLEE-----------------------------------------------------------------------------------------
9	2qb6A	0.22	0.13	4.06	1.47	CNFpred		SVSDILKKDYKQFNFQGLEIGLSSIVKRMSWLFNEHDFVNQCRRFQAERGLDVLVLLTSWRK-AGDSHRELVILGDS-NVVRELIERVSD----KLQLQLFGGNLGGVAMFKQLNVEATRKQVVPYLEEAYSNLEE-----------------------------------------------------------------------------------------
10	2zxqA	0.05	0.04	2.02	0.83	DEthreader		-PFLTTLDNKKVANTDGLGQSVLLK-GYGNEGIGQGADMNTMMEEGSKY-GARFGV-----WL----------MDFWRMTTSTFQHWAADLTYG----------------EGWQ-GRNDYAAYIKNLYTHDVSTKFIQHFKVTRWVNDPTNNEQSRRTITKVAYLLPWKLYYLTDQGVNWSVRLTL-YALYVGVDYFQVVSLVYQAIYSTATAP--DLQGSTG--


(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	0.7317


(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	2qb6A	0.54	1.71	0.223	0.578
2	4c1oA1	0.47	5.01	0.033	0.716
3	1h54B	0.47	4.94	0.065	0.724
4	2eb0B2	0.43	2.44	0.180	0.493
5	3wiqA1	0.42	5.16	0.097	0.649
6	4m1rA	0.38	6.09	0.059	0.676
7	1rw0A	0.34	5.81	0.074	0.578
8	2xb7A2	0.33	5.26	0.096	0.533
9	2nyfA2	0.32	5.51	0.060	0.520
10	4e2pA	0.32	4.98	0.071	0.502



(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	0.27	catalytic activity
GO:0043167	0.24	ion binding
GO:0046872	0.23	metal ion binding
GO:1901363	0.21	heterocyclic compound binding
GO:0097159	0.21	organic cyclic compound binding
GO:0016787	0.20	hydrolase activity
GO:0000166	0.13	nucleotide binding
GO:0097367	0.12	carbohydrate derivative binding
GO:0046914	0.12	transition metal ion binding
GO:0030246	0.12	carbohydrate binding
GO:0016788	0.12	hydrolase activity, acting on ester bonds
GO:0035639	0.11	purine ribonucleoside triphosphate binding
GO:0032555	0.11	purine ribonucleotide binding
GO:0032550	0.11	purine ribonucleoside binding
GO:0016740	0.11	transferase activity






(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:0044763	1.00	single-organism cellular process
GO:0006915	0.79	apoptotic process
GO:0008152	0.60	metabolic process






(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






(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	0.060	1bvuA	0.424	5.17	0.029	0.680	1.4.1.3	NA
2	0.060	1w93A	0.414	5.50	0.035	0.684	6.3.4.14 6.4.1.2	NA
3	0.060	2hawB	0.436	2.20	0.216	0.493	3.6.1.1	NA
4	0.060	1jdaA	0.426	6.10	0.051	0.764	3.2.1.60	NA
5	0.060	1wppA	0.449	2.00	0.205	0.498	3.6.1.1	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:

No Binding sites was predicted

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.