D-I-TASSER results for Q92911-D1

Input Sequence in FASTA format

>Q92911 (411 residues)
MEAVETGERPTFGAWDYGVFALMLLVSTGIGLWVGLARGGQRSAEDFFTGGRRLAALPVG
LSLSASFMSAVQVLGVPSEAYRYGLKFLWMCLGQLLNSVLTALLFMPVFYRLGLTSTYEY
LEMRFSRAVRLCGTLQYIVATMLYTGIVIYAPALILNQVTGLDIWASLLSTGIICTFYTA
VGGMKAVVWTDVFQVVVMLSGFWVVLARGVMLVGGPRQVLTLAQNHSRINLMDFNPDPRS
RYTFWTFVVGGTLVWLSMYGVNQAQVQRYVACRTEKQAKLALLINQVGLFLIVSSAACCG
IVMFVFYTDCDPLLLGRISAPDQYMPLLVLDIFEDLPGVPGLFLACAYSGTLSTASTSIN
AMAAVTVEDLIKPRLRSLAPRKLVIISKGLSLIYGSACLTVAALSSLLGGG

Predicted Secondary Structure

                  20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220                 240                 260                 280                 300                 320                 340                 360                 380                 400
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |
Sequence
MEAVETGERPTFGAWDYGVFALMLLVSTGIGLWVGLARGGQRSAEDFFTGGRRLAALPVGLSLSASFMSAVQVLGVPSEAYRYGLKFLWMCLGQLLNSVLTALLFMPVFYRLGLTSTYEYLEMRFSRAVRLCGTLQYIVATMLYTGIVIYAPALILNQVTGLDIWASLLSTGIICTFYTAVGGMKAVVWTDVFQVVVMLSGFWVVLARGVMLVGGPRQVLTLAQNHSRINLMDFNPDPRSRYTFWTFVVGGTLVWLSMYGVNQAQVQRYVACRTEKQAKLALLINQVGLFLIVSSAACCGIVMFVFYTDCDPLLLGRISAPDQYMPLLVLDIFEDLPGVPGLFLACAYSGTLSTASTSINAMAAVTVEDLIKPRLRSLAPRKLVIISKGLSLIYGSACLTVAALSSLLGGG
Prediction
CCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHSCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHCCCHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCC
Confidence
987665556875289999999999999999999986247889867750159999699999999999864798987779999953899999999999999999999999998399717999998638189999999999999999999999999999999798699999999999999997544899999999999999999999999999980899999999985495102578999776672799999999999999737878999998579999999999999999999999999999999999615883124666786347899999972666169999999999999999878999999999999999854899969999999999999999999999999981899

H:Helix; S:Strand; C:Coil

Predicted Solvent Accessibility

                  20                  40                  60                  80                 100                 120                 140                 160                 180                 200                 220                 240                 260                 280                 300                 320                 340                 360                 380                 400
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |
Sequence
MEAVETGERPTFGAWDYGVFALMLLVSTGIGLWVGLARGGQRSAEDFFTGGRRLAALPVGLSLSASFMSAVQVLGVPSEAYRYGLKFLWMCLGQLLNSVLTALLFMPVFYRLGLTSTYEYLEMRFSRAVRLCGTLQYIVATMLYTGIVIYAPALILNQVTGLDIWASLLSTGIICTFYTAVGGMKAVVWTDVFQVVVMLSGFWVVLARGVMLVGGPRQVLTLAQNHSRINLMDFNPDPRSRYTFWTFVVGGTLVWLSMYGVNQAQVQRYVACRTEKQAKLALLINQVGLFLIVSSAACCGIVMFVFYTDCDPLLLGRISAPDQYMPLLVLDIFEDLPGVPGLFLACAYSGTLSTASTSINAMAAVTVEDLIKPRLRSLAPRKLVIISKGLSLIYGSACLTVAALSSLLGGG
Prediction
554345464320101011002112220222121001134445324100000260101000100200310010000100210120112121230233023231311002024240100000025003410000001112333333201220000110000143313200120011002003301320002003300320330132021100030121220042037343130121121233332121133333333321100000000000003215201100010132333333313200100000023024223332434220000000020443111100100000000001100100000000010002311465354200200122012202201210020231558

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                 240                 260                 280                 300                 320                 340                 360                 380                 400                    |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |
							SS	CCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHSCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHHHCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHCCCHHHHHHHHHCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCC
							Seq	MEAVETGERPTFGAWDYGVFALMLLVSTGIGLWVGLARGGQRSAEDFFTGGRRLAALPVGLSLSASFMSAVQVLGVPSEAYRYGLKFLWMCLGQLLNSVLTALLFMPVFYRLGLTSTYEYLEMRFSRAVRLCGTLQYIVATMLYTGIVIYAPALILNQVTGLDIWASLLSTGIICTFYTAVGGMKAVVWTDVFQVVVMLSGFWVVLARGVMLVGGPRQVLTLAQNHSRINLMDFNPDPRSRYTFWTFVVGGTLVWLSMYGVNQAQVQRYVACRTEKQAKLALLINQVGLFLIVSSAACCGIVMFVFYTDCDPLLLGRISAPDQYMPLLVLDIFEDLPGVPGLFLACAYSGTLSTASTSINAMAAVTVEDLIKPRLRSLAPRKLVIISKGLSLIYGSACLTVAALSSLLGGG
1	5nv9A	0.24	0.23	7.05	1.50	DEthreader		----------DFGFINYAVLFGYLAA-LLVGVYFSK---RQKTADDYFRGGGRVPGWAAGVSVFATTLSSITF-SIPAKAYTSDWTFIIGQYLAIAILPLVFYFYIPFFRKLKITSAYEYLEARFDVRSRLFASLSF-LFHIGRVAIITYLTVLALRPF-GIDPVVLIVLISLLCIIYTW-GGIEGVIWTDVIQGLLLSGGAVLIFI-ICFKVGGISEIFTTTAQADKFFPTTQWRWSWTDSTIPVL-IGFLFANIQQFTASQDVVQRYIVTDSIKETKRTLITNAKLVAIIPIFFFAIGSALFVYYQQNP-SLLPAGFNTGGILPLFIVTE---PIGIAGLIIAAIFAAAQSSISSSLNSISSCFNSDIYTLSKSSPSPEQK-KVAKLVIIVAGIFSSLAAIWLVSDWD-
2	5nv9A	0.24	0.22	6.99	2.94	SPARKS-K		----------DFGFINYAVLFGYLAA-LLVGVYFSK---RQKTADDYFRGGGRVPGWAAGVSVFATTLSSITF-SIPAKAYTSDWTFIIGQYLAIAILPLVFYFYIPFFRKLKITSAYEYLEARFDVRSRLFASLSFLF-HIGRVAIITYLTVLALRP-FGIDPVVLIVLISLLCIIYTW-GGIEGVIWTDVIQGLLLSGGAVLIFIICFKVDGGISEIFTTTAQADKFFPTTQWRWSWTDSTIPV-LIGFLFANIQQFTASQDVVQRYIVTDSIKETKRTLITNAKLVAIIPIFFFAIGSALFVYYQQNPSLLPAGFN-TGGILPLFIVTE---PIGIAGLIIAAIFAAAQSSISSSLNSISSCFNSDIYTRLSKSSPSPEQKKVAKLVIIVAGIFSSLAAIWLVLSDWD
3	5nv9A	0.24	0.23	7.05	1.58	MapAlign		----------DFGFINYAVLFGYLA-ALLVGVYFS---KRQKTADDYFRGGGRVPGWAAGVSVFATTLSSITF-SIPAKAYTSDWTFIIGQYLAIAILPLVFYFYIPFFRKLKITSAYEYLEARFDVRSRLFASLSFL-FHIGRVAIITYLTVLALRPFG-IDPVVLIVLISLLCIIYTW-GGIEGVIWTDVIQGLLLSGGAVLIF-IICFKVGGISEIFTTTAQADKFFPTTQWRWSWTDSTIPVL-IGFLFANIQQFTASQDVVQRYIVTDSIKETKRTLITNAKLVAIIPIFFFAIGSALFVYYQQNPSLLPAGF-NTGGILPLFIVTE---PIGIAGLIIAAIFAAAQSSISSSLNSISSCFNSDIYTRSKSSPSPEQK-KVAKLVIIVAGIFSSLAAIWLVLSDW-
4	5nv9A	0.24	0.22	6.99	1.11	CEthreader		----------DFGFINYAVLFGYLAA-LLVGVYFSK---RQKTADDYFRGGGRVPGWAAGVSVFATTLSSITF-SIPAKAYTSDWTFIIGQYLAIAILPLVFYFYIPFFRKLKITSAYEYLEARFDVRSRLFASLSF-LFHIGRVAIITYLTVLALRPF-GIDPVVLIVLISLLCIIYTW-GGIEGVIWTDVIQGLLLSGGAVLIFIICFKVDGGISEIFTTTAQADKFFPTTQWRWSWTDSTIPV-LIGFLFANIQQFTASQDVVQRYIVTDSIKETKRTLITNAKLVAIIPIFFFAIGSALFVYYQQNPSLLPAGF-NTGGILPLFIVTE---PIGIAGLIIAAIFAAAQSSISSSLNSISSCFNSDIYTRLSKSSPSPEQKKVAKLVIIVAGIFSSLAAIWLVLSDWD
5	5nv9A	0.22	0.21	6.66	1.60	MUSTER		----------DFGFINYAVLFGYLAALLVGVYFSKR----QKTADDYFRGGGRVPGWAAGVSVFATTLSSITF-SIPAKAYTSDWTFIIGQYLAIAILPLVFYFYIPFFRKLKITSAYEYLEARFD-VRSRLFASLSFLFHIGRVAIITYLTVLALRPF-GIDPVVLIVLISLLCIIYTWG-GIEGVIWTDVIQGLLLSGGAVLIFIICFKVDGGISEIFTTTAQADKFFPTTQWRWSWTDSTIPVL-IGFLFANIQQFTASQDVVQRYIVTDSIKETKRTLITNAKLVAIIPIFFFAIGSALFVYYQQNPSLLPAGFN-TGGILPLFIVTE----IGIAGLIIAAIFAAAQSSISSSLNSISSCFNSDIYTRLSKSSPSPEQKKVAKLVIIVAGIFSSLAAIWLVLSDWD
6	5nv9A	0.24	0.23	7.05	5.75	HHsearch		----------DFGFINYAVLFGYLAA-LLVGVYFS---KRQKTADDYFRGGGRVPGWAAGVSVFATTLSSITF-SIPAKAYTSDWTFIIGQYLAIAILPLVFYFYIPFFRKLKITSAYEYLEARFDVRSRLFASLSF-LFHIGRVAIITYLTVLALRPF-GIDPVVLIVLISLLCIIYTW-GGIEGVIWTDVIQGLLLSGGAVLIFI-ICFKVGGISEIFTTTAQADKFFPTQWRWSWTD-STIPV-LIGFLFANIQQFTASQDVVQRYIVTDSIKETKRTLITNAKLVAIIPIFFFAIGSALFVYYQQNPSLL-PAGFNTGGILPLFIVTE-P--IGIAGLIIAAIFAAAQSSISSSLNSISSCFNSDIYTRLSKSSPSPEQKKVAKLVIIVAGIFSSLAAIWLVLSD-W
7	5nv9A	0.22	0.21	6.58	3.63	FFAS-3D		----------DFGFINYAVLFGYLAAL-LVGVYFS---KRQKTADDYFRGGGRVPGWAAGVSVFATTLSSITF-SIPAKAYTSDWTFIIGQYLAIAILPLVFYFYIPFFRKLKITSAYEYLEARFDVRSRLFASLSFLFHIG--RVAIITYLTVLALRPFGIDPVVLI-VLISLLCIIYTWGGIEGVIWTDVIQGLLLSGGAVLIFIICFKVDGGISEIFTTTAQADKFFP-TTQWRWSWTDSTIPVLIGFLFANIQQFTASQDVVQRYIVTDSIKETKRTLITNAKLVAIIPIFFFAIGSALFVYYQQNPSLLPAGFN----TGGILPLFIVTEPIGIAGLIIAAIFAAAQSSISSSLNSISSCFNSDIYTRLSKSSPSPEQKKVAKLVIIVAGIFSSLAAIWLVL----
8	5nv9A	0.24	0.21	6.68	2.28	EigenThreader		----------DFGFINYAVLFGYLAALLVGVYFSK----RQKTADDYFRGGGRVPGWAAGVSVFATTLSSITF-SIPAKAYTSDWTFIIGQYLAIAILPLVFYFYIPFFRKLKITSAYEYLEARFDVRSRLFASLSFL-FHIGRVAIITYLTVLALRPFG-IDPVVLIVLISLLCIIYTW-GGIEGVIWTDVIQGLLLSGGAVLIFI------ICFSEIFTTTAQADKFFPRWSWTDSTIPVLI-----GFLFANIQQFTASQDVVQRYIVTDSIKETKRTLITNAKLVAIIPIFFFAIGSALFVYYQQNPSL-LPAGFNTGGILPLFIVTE---PIGIAGLIIAAIFAAAQSSISSSLNSISSCFNSDI----YTRLSK-----VAKLVIIVAGIFSSLAAIWLVLSDWD
9	5nv9A	0.24	0.23	7.06	2.64	CNFpred		----------DFGFINYAVLFGYLAAMLLVGVYFSKRQ---KTADDYFRGGGRVPGWAAGVSVFATTLSSITFMSIPAKAYTSDWTFIIGQYLAIAILPLVFYFYIPFFRKLKITSAYEYLEARFDVRSRLFASLSFMLFHIGRVAIITYLTVLALRPFMGIDPVVLIVLISLLCIIYTWMGGIEGVIWTDVIQGLLLSGGAVLIFIMICFKVGGISEIFTTTAQADKFFPTTQWRWSWTDSTIPVLMIGFLFANIQQFTASQDVVQRYIVTDSIKETKRTLITNAKLVAIIPIFFFAIGSALFVYYQQNPSLLPAG-FNTGGILPLFIVTEMP--IGIAGLIIAAIFAAAQSSISSSLNSISSCFNSDIYTRLSKSPSPEQKMKVAKLVIIVAGIFSSLAAIWLVLS---
10	3dh4A	0.20	0.18	5.76	1.33	DEthreader		-------------GGGGGGGGGGGGGGGGG--------------------AGKSLPWAVGASLIAANISAEQFIGMSGSGYSIGLAIASYEWMSAITLIIVGKYFLPIFIEKGIYTIPEFVEKRFNKKLKTILAVFWISLYIVNLTSVLYLGGLALETILGIPLMYSILGLALFALVYSI----V--VWTDVIQVFFLVLGGFMTTYMAVSFIGWFAGVSKMVDAAPGHFEMILDQSNPQYLPGIAVLGGLWVANLYYWGFNQYIIQRTLAAKSVSEAQKGIVFAAFLKLIVPFLVVLPGIAAYVITSDPLMAATNLPSNADKAYPWLTQF-L--PVGVKGVVFAALAAAIVSSLASMLNSTATIFTMDIYKEYSPDSGDHKLVNVGRTAAVVALIIACLIAP-MLGGIGA


(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	0.8364


(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	5nv9A	0.92	0.96	0.244	0.939
2	3dh4A	0.77	3.23	0.199	0.893
3	6m17A	0.71	3.51	0.093	0.830
4	5i6xA	0.70	3.59	0.079	0.830
5	2q6hA	0.69	3.91	0.113	0.830
6	4m48A	0.69	3.67	0.094	0.822
7	4us3A	0.69	3.48	0.111	0.808
8	6cseM	0.68	3.54	0.078	0.810
9	5m87A	0.67	3.85	0.106	0.810
10	2jlnA	0.67	3.62	0.123	0.793



(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:0015293	1.00	symporter activity
GO:0022891	0.61	substrate-specific transmembrane transporter activity
GO:0015075	0.56	ion transmembrane transporter 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:0006810	0.99	transport
GO:0044699	0.86	single-organism process
GO:0006811	0.85	ion transport
GO:0071702	0.68	organic substance transport
GO:0009987	0.63	cellular process
GO:0008152	0.59	metabolic process
GO:0055085	0.57	transmembrane transport
GO:0006820	0.55	anion transport
GO:0071704	0.53	organic substance metabolic process
GO:0065007	0.50	biological regulation
GO:0044237	0.50	cellular 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:0044464	1.00	cell part
GO:0044425	1.00	membrane part
GO:0005887	0.99	integral component of plasma membrane
GO:0044424	0.53	intracellular 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	0.060	1jtnA	0.178	5.94	0.037	0.265	3.2.1.17	46
2	0.060	2et6A	0.335	6.71	0.037	0.535	1.1.1.-	NA
3	0.060	3fg3A	0.381	6.92	0.063	0.635	4.2.1.92 1.13.11.40	NA
4	0.060	1ygeA	0.366	6.76	0.034	0.594	1.13.11.12	NA
5	0.060	2w00B	0.337	6.71	0.060	0.547	3.1.21.3	356



(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	0.04	2jloA	0.667	3.62	0.121	0.793	0.55	5FH	62,66,184,268
2	0.03	2q6hA	0.687	3.91	0.113	0.830	0.45	CXX	26,29,185,186,189
3	0.03	2jlnA	0.666	3.62	0.123	0.793	1.16	NA	65,68,69,350,351,353,354
4	0.03	3f3aA	0.672	3.92	0.105	0.822	0.49	TRP	50,53,54,55,58
5	0.03	2wsxC	0.651	4.41	0.102	0.825	0.41	NM2	58,62,184
6	0.02	3hfxA	0.655	4.41	0.087	0.825	0.40	152	75,78,79,83



(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.