D-I-TASSER results for P0C7W6-D3

Input Sequence in FASTA format

>P0C7W6 (50 residues)
KPQNDTECLRLKKELELYKEDDMESVYEALQTEIEFLELTLAQKDLQESK

Predicted Secondary Structure

                  20                  40
                   |                   |
Sequence
KPQNDTECLRLKKELELYKEDDMESVYEALQTEIEFLELTLAQKDLQESK
Prediction
CCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCC
Confidence
99988999999999998646239999999999999999985134621059

H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

                  20                  40
                   |                   |
Sequence
KPQNDTECLRLKKELELYKEDDMESVYEALQTEIEFLELTLAQKDLQESK
Prediction
85764550341454154246741530153143414324232357536778

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 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                    |                   |
							SS	CCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCC
							Seq	KPQNDTECLRLKKELELYKEDDMESVYEALQTEIEFLELTLAQKDLQESK
1	6iqeA	0.06	0.06	2.62	1.67	DEthreader		SFSREYTAAVEAKQVAQQEAQRAQFLVEKAKQEQRQKIVQAEGEAEAAKM
2	6lt4A1	0.17	0.16	5.26	0.82	SPARKS-K		VHAVEREIETEKDKQEKAVEAEDFEAALNYKTRIAELERKIENHTED---
3	2o8fA	0.18	0.18	5.86	1.00	MapAlign		KPSFDPNLSELREIMNDLEKKMLNEEYTKNKTEYEEAQDAIVKEIVNISS
4	5cwnA1	0.10	0.10	3.70	0.52	CEthreader		PEEILERAKESLERAREASERGDEEEFRKAAEKALELAKRLVEQAKKEGD
5	3vn0C	0.26	0.24	7.42	0.96	MUSTER		--GSERQILRLKQINIQLATKHLEFSSSEKEQEIERLNKLLKQNGLLGD-
6	3vn0C	0.28	0.26	7.96	0.37	HHsearch		--GSERQILRLKQINIQTKIQHLEFSSSEKEQEIERLNKLLKQNGLLGD-
7	4kisA2	0.20	0.20	6.40	0.48	FFAS-3D		NEKLKIEHAKKKRLFDLYIVSELDSMMNDIDAQINYYEAQIANEELKKNK
8	3e96B2	0.08	0.08	3.12	0.52	EigenThreader		GLVNLL--PQKAVEMLEALRNNDNDAVWRIWEDIVPFEDLRGNNVVVIKE
9	3zrpA	0.12	0.12	4.20	0.40	CNFpred		--PPVHVILQLAEAFRLIEKEGIENRIKRHTMVASAIRAGLEALGLEIVA
10	4ke2A	0.04	0.04	2.08	1.67	DEthreader		TAADAAAAAATIAASAASVAAATAADDAAASIATINAASAAAKSIAAAAA


(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	0.6847


(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.

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.