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# D-I-TASSER results for Q9UNX4-D1

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

Input Sequence in FASTA format

>Q9UNX4 (806 residues) MGLTKQYLRYVASAVFGVIGSQKGNIVFVTLRGEKGRYVAVPACEHVFIWDLRKGEKILI LQGLKQEVTCLCPSPDGLHLAVGYEDGSIRIFSLLSGEGNVTFNGHKAAITTLKYDQLGG RLASGSKDTDIIVWDVINESGLYRLKGHKDAITQALFLREKNLLVTSGKDTMVKWWDLDT QHCFKTMVGHRTEVWGLVLLSEEKRLITGASDSELRVWDIAYLQEIEDPEEPDPKKIKGS SPGIQDTLEAEDGAFETDEAPEDRILSCRKAGSIMREGRDRVVNLAVDKTGRILACHGTD SVLELFCILSKKEIQKKMDKKMKKARKKAKLHSSKGEEEDPEVNVEMSLQDEIQRVTNIK TSAKIKSFDLIHSPHGELKAVFLLQNNLVELYSLNPSLPTPQPVRTSRITIGGHRSDVRT LSFSSDNIAVLSAAADSIKIWNRSTLQCIRTMTCEYAICMDISHDGALIATGSADRNVKI WGLDFGDCHKSLFAHDDSVMYLQFVPKSHLFFTAGKDHKIKQWDADKFEHIQTLEGHHQE IWCLAVSPSGDYVVSSSHDKSLRLWERTREPLILEEEREMEREAEYEESVAKEDQPAVPG ETQGDSYFTGKKTIETVKAAERIMEAIELYREETAKMKEHKAICKAAGKEVPLPSNPILM AYGSISPSAYVLEIFKGIKSSELEESLLVLPFSYVPDILKLFNEFIQLGSDVELICRCLF FLLRIHFGQITSNQMLVPVIEKLRETTISKVSQVRDVIGFNMAGLDYLKRECEAKSEVMF FADATSHLEEKKRKRKKREKLILTLT

Predicted Secondary Structure

Sequence

20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 620 640 660 680 700 720 740 760 780 800
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Prediction
CCCSSSSSCCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSCCCCCCCCSSSSSCCCCSSSSSSCCCCCSSSSSSCCCSSSSSCCCCSSSSCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSCCCCCSSSSSSSCCCCCSSSSSCCCCSSSSSSCCCCSSSSSSCCCCCSCSSSSSSSCCCCCSSSSSSCCCCSSSSSSCCCCCSCCCCCCCSSSSSSCCCCCSSSSSSCCCCCSSSSSSCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSSCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCSSSSSSSCCCCCCCSSSSSSSCCCCSSSSSSCCCSSSSSCCCCCCSSCCCCCCSSSSSSS HHHHHHHHHHHHHHCCCSSSSSSCCCCCSSSSCCCCCCSSSSSCCCCSS HHHCCCCCSSSCHHHCHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHCCHHH SSCHHHHHHHHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHCCCCCS HHHHHHHHHHHHHHHHHH SSSSSCC
Confidence
H:Helix; S:Strand; C:Coil
Predicted Solvent Accessibility

Sequence | 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 620 640 660 680 700 720 740 760 780 800 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Prediction |
| 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 | Downloadalignment |  | 20 40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 620 640 660 680 700 720 740 760 780 800 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| SS Seq | CCCSSSSSCCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSCCCCCCCCSSSSSCCCCSSSSSSCCCCCSSSSSSCCCSSSSSCCCCSSSSCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSCCCCCSSSSSSSCCCCCSSSSSCCCCSSSSSSCCCCSSSSSSCCCCCSCSSSSSSSCCCCCSSSSSSCCCCSSSSSSCCCCCSCCCCCCCSSSSSSCCCCCSSSSSSCCCCCSSSSSSCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSSCCCCSSSSSSCCCSSSSSSCCCCCSSSSSCCCCCCSSSSSSCCCCCSSSSSSCCCSSSSSSCCCCSSSSSSSCCCCCCCSSSSSSSCCCCSSSSSSCCCSSSSSCCCCCCSSCCCCCCSSSSSSS HHHHHHHHHHHHHHCCCSSSSSSCCCCCSSSSCCCCCCSSSSSCCCCSS HHHCCCCCSSSCHHHCHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHCCHHH SSCHHHHHHHHHHHHHHHHHHHHHHHHHCHHHHHHHHHHHHHHHHCCCCCS HHHHHHHHHHHHHHHHHH SSSSSCC
1 | 6ffyA | 0.07 | 0.04 | 1.49 | 0.67 | DEthreader |  | ---------ISTS----GDATHNQAMVHWTGE--NSSVILILTKSSLWRSSDFGTTYTKLTLPVTTVIDNFYICPAKIILVSSSLGEQSLFLSTDGATFQKYPVPFL-VETLLFHPKEEDKVLAYTK DSKLYVSSDLGKKWTLLQERV-TKDHVFWAVSDPN LVHVEAQGGYRYYTCLIYNCHIAFSGPIDRGS--LTVQD-EYIFLKAT--RTKYYVSYRRSDFV----------LMKLP----KY--------------ALP-----------KDL---Q-IISTD-EQQVFVAVQQVDTYNLYQSDL----------------------------------------RGVRYSLVLENVRSSVIDILEVRGVKGVFLANQKVGKVTTVITYNK------GRDWDYLPDCYLHLHLAVHTKDTAPGLIMGAG--NLG--------S--Q-LVE YKEEMYITSDCG---------------HTWRQV--FE-----EEHHVLYLGGVIAAIKDTSIPLKILKFSHTWSTHNFTSTSVF-VDGLLSEDTLVMTVFGHISSDWELVKVDF---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
2 | 5wlcLQ | 0.32 | 0.29 | 8.60 | 2.56 | SPARKS-K |  | ------YQRFEQAAAF G V IASN-ANCV----WIPAPGQLITSALEDVNI W DIKTGDLVSKLSAKPAECTYLEAHKDTDLL A V G YAD GVIKVWDLMSKTVLLNF N G H K A A I TLLQFDGTGTR LIS G S K DSNI I V W DLVGEVG L YKLRSH K DSI TGFWCQG-EDWLISTSK DGMIKLW D LKTHQCIETHIAHTGECW G LAVKDD--LL I TTGTD SQVKIWKLDIENDKMGGKLTEMGIFEKQSKQRGLKIEFITNSFFYIQNADKTIETFRIRYS ILHPSLYKIKSASWTTSKLELVLTTSSNTIEYYSIPYEKR--------------DPTSPAPLKTHTIELQGQRTDVSNGSLKIWN I KCIRTFEALTCKFLPGGLL-VILGTRNGELQLFDLASSSLLDKVLKLHHDTTLELTDDILCVRVSPDDRYLAISLLDTVKVFFLDSMKFYLSLYGLPVLSID I SFDSKMIITSS A DKNIK I W G L D F G D C H K S L F A HQD SIMNVKFLPQS HNF FSCSK DAVVKYW DGEK F ECI QKLYAHQSEVWAL A VATDGGFV V S S S H DHSIRIW EETSLKA-----------------------------------------------GE RLM E ALDLGIAEIEGLEAYNRDMK-----LKPQGNAVLIAVN-KTPEQYIMDTLLRIRMSQL EDALMVMP F S Y VLKFL KFIDTVMQNHSHLPL I CKNL F FIIKFNHKELVSQEELKLQINRVKTELRSALKSTEDDLG F NVQG LKFVKQQWNLRHNYEFVDEYDQQEKESNSAR KRVFGTVI---
3 | 5wlcLQ | 0.27 | 0.23 | 7.15 | 0.79 | MapAlign |  | ---------YQRFEQAAAFGVIASNANCVWIPA--PGQLITSALEDVNI W DIKTGDLVSKLSAKPAECTYLEAHKDTDLL A V G YAD GVIKVWDLMSKTVLLNF N G H K A A I TLLQFDGTGTR LIS G S K DSNI I V W DLVGEVG L YKLRSH K DSI TGFWCQG-EDWLISTSK DGMIKLW D LKTHQCIETHIAHTGECW G LAVK--DDLL I TTGTD SQVKIWKLGGKLTE--------------------------------------------MGIFEKQSKQRGLKIEFITN-SFFYIQNADKTIETFRIR--------------------------------------YSSFILHPFQTIRSLYK I K SASWTTVSSSKLELVLTTSSNTIEYY SIPYEKRDPTPLKTHTIIEDAHDAAIWSLDLTS DGKRLVTGSAKTVKFWDFLKLHHDTTLELDDILCVRVSPDDRYLAISLLDNTV KVFFL DSMKFYLS LYGHKLPVLSIDISFDSKMIITSSADKNI KIWGLDFGDCHKSLFAHQDSIMNVKFLPQSHNFFSCSKDAVVKYWDGEKFECIQKLYAHQSEVWALAVATDGGFVVSSSHDHSIRIW-----EETSLK AGE RLM E ALDLGIAEIEGLEAYNRDM-----KLKPQGNAVLIAV-NKTPEQYIMDTLLRIRMSQL EDALMVMP F S Y VLKFL KFIDTVMLLHSHLPL I CKNL F FIIKFNHKELQKNEELKLQINRVKTELRSALKSTEDDLG F NVQG LKFVKQQWNL--------RHNYEFVDEYDQQEKESNS-----
4 | 2ymuA | 0.20 | 0.14 | 4.53 | 0.48 | CEthreader |  | -------GSHMGVKERNRLEAHSSSVRGVAFSPDGQTIASASDDKTVKLWNR-NGQLLQTLTGHSSSVWGVAFS P D GQTIASASDDKTVKLWNR-NGQLLQTLTG HSSSVRGVAFSPDGQTIA SASDDKTVKLWNR-NGQLLQTLTG HSSSVWGVAFSPDGQTIASASDDKTV KLWNRN-GQLLQTLTG HSSSV W GVAFSPDGQTIASASDDKTVKLWNRNGQLL-----------------------------------------------QTLTGHSSSVRGVAFSPDGQTIASASDDKTVKLWNR------------------------------------------NGQLLQTLTGHSSSVNGVAFR---PDGQTIASASDDKTVKLWNRNGQ---------LLQTLTG HSSSVWGVAF SPDGQTIAS ASDKTVKLW N RNGQHLQTLTGHSSVWGVAFSPD GQTI ASASDDKTV KLWNR-NGQLLQTLTGHSSS VRGVAFSPDGQTIASASDDKTVKLWNR-NGQLLQ T LTG HSSSVWGVAFS PDDQTIASASDD KTVKL WNRNGQLLQTLTGHSSSVRGVAFSPDGQTIASASDDKTVKLWNRNGQLLQTLTGHSSSVRGVAFSPDGQTIASASDDKTVKLWNRNGQLLQT--LTGHSSSVWGVAFSPDGQTIASASSDKTVKLWN-------------------------------------------------------------------------------------------------------------------
5 | 5wlcLQ | 0.25 | 0.24 | 7.49 | 2.25 | MUSTER |  | ------YQRFEQAAAF G V IASNAN----CVWIPAPGQLITSA-LEDVNI W DIKTGDLVSKLSAKPAECTYLEAHKDTDLL A V G YAD GVIKVWDLMSKTVLLNF N G H K A A I TLLQFDGTGTR LIS G S K DSNI I V W DLVGEVG L YKLRSH K DSI TGFWCQ-GEDWLISTSK DGMIKLW D LKTHQCIETHIAHTGECW G LAVK--DDLL I TTGTD SQVKIWKLDIENDKMGGKLTEMGIFEKQSKQRGLKIEFITNSFFYIQNADKTIETFRIILHPFQTSLYKIKSASWTSSKLELVLTTSSNTIEYYSIPYEKRDPTSPAPLKTHTIELQGQRTDRSIDISDDNKLLATASNGSLKIWN I K THECGYALTCKFLPGGL-LVILGTRNGELQLFDLASSS-------LLDTIEDAHDAAIWSLDLTS DGKRLVTGSA DTVKFWDFKVLKLHHDTTLDDILCVRVSPDDRYLAISLLDNTV KVFFL DSMKFYLS LYGHKLPVLSIDISFDSKMIITSSADKNI KIWGLDFGDCHKSLFAHQDSIMNVKFLPQSHNFFSCSKDAVVKYWDGEKFECIQKL--YAHQSEVWALAV ATDGGFVVSSSHDHSIRIWEETSLK---AGE RLM E ALDLGIAEIEGLEAYNRDMKLKPQGNA-----VLIAV-NKTPEQYIMDTLLRIRMSQL EDALMVMP F S Y VLKFL KFIDTVMQNKTHLPL I CKNL F FIIKFNHKELVSQEELKLQINRVKTELRSALKSTEDDLG F NVQG LKFVKQQWNLRHNYEFVDEYDQQEKESNSAR KRVFGTVI---
6 | 5wlcLT | 0.14 | 0.12 | 4.15 | 1.11 | HHsearch |  | HYVYAAYGIYKRGIEEHLLELTDANVEHLC---IFGDYLCASTDNSIF IYKKSDPEFYTKLTVTEGGEIVSLQHLATNKLTVVTKSN-VLLFNVRTGKLVFTSNEFPDQI T TAEPAPVLDIIALGTVTGEVIMFNMRKGKRIRTIKIPQSRISSLSFRTDGSHLSVGTSSGDLIFYD L DRRSRIHVLNIH RGGVTQATFLNGQPIIVTSGGDNSLKEYVFDPSLSQGS-----GD----------------------VVVQPPRYL------RSRGGHSQPPSYIAFADQSHFMLSASKDRSLWSFSLRKDAQSQEMSQRLHK KQDGGIKSKFPLAIENARIWENIITKDEKFARTWDMRNKGFVK--SVAMSQCGNF-GFIGSSNGSITIYNMQSGIL--------RKKYKLHKRAVTGISLDGMNRKMVSCGLDIVGFYDFNKSTLLGKLKLAPITAMVYHRSSDLFALALDDLSIVVIDAVTQRVVRQLWGHSNRITAFDFSPEGRWIVSASLDSTIRTW DLPTGGCIDGIIVD-NVATNVKFS PNG DLLATTHVTGGICIWTNRAQFKTVST-------RTIDE----S--EFLND--------IDFNTYTSLEQDKELL-TLSIGPRSKMNTLLHLDVIRKRSKPKEAPKKSFLQLSGRLSSKDYLLATLINFSPAAVDLEIRSLNSFEIVWFIDALTQGLKSNKNFE LYETFMSLLFKAHGDVIHANNDIASALQNWEDVHKKE-DRLDDLVKFCMGVAAFVTTA-----------------------------------
7 | 5wyjBB | 0.22 | 0.20 | 6.21 | 4.17 | FFAS-3D |  | ------------AAAF G V IASNANCVWIPNGSGPGQLITSALED--VNI W DIKTGDLVSKLSAKPAECTYLEAHKDTDLL A V G YAD GVIKVWDLMSKTVLLNF N G H K A A I TLLQFDGTGTR LIS G S K DSNI I V W DLVGEVG L YKLRSH K DSI TGF-WCQGEDWLISTSK DGMIKLW D LKTHQCIETHIAHTGECW G LAVKDDL--L I TTGTD SQVKIWKLDIENDKMGG------KLTEMGIFEKQSKQRGLKIEFITNSSDKTSFFYIQYSIRSLYKIKSASWTTVSSSKLELVLTTSSNTIEYYSIPYEKRDPIELQGQRTDVRSIDISDDNKLLATASNGSLKIWNIKTHKCIR---TFECGYALTCKFLPGGL-LVILGTRNGELQLFDLASSSLL-------DTIEDAHDAAIWSLDLTS DGKRLVTGSA DTVKFWDFKVENSLVPGLTDDILCVRVSPDDRYLAISLLDNTV KVFFL DSMKFYLS LYGHKLPVLSIDISFDSKMIITSSADKNI KIWGLDFGDCHKSLFAHQDSIMNVKFLPQSHNFFSCSKDAVVKYWDGEKFECIQK--LYAHQSEVWALAV ATDGGFVVSSSHDHSIRIWEK---------------------AGERLMEALDLGIAEIEGLEAYNRDMVLIAVNKTPEQYIMDTLLRIRMS--QLEDALMVMPFSYVLKFLDTVMQNKTSHLPL I CKNL F FIIKFNHKELVS------------QKNEELKLQINRVKT---ELRSAL KSTEDD---LGFNVQGLKFVKQQ---------------
8 | 5wlcLT | 0.12 | 0.10 | 3.53 | 0.75 | EigenThreader |  | ETPSSIVALSAHFHYVYAAYENDANVHLCIFG----DYLCASTDNSIF IYKKSDPQYTKLTVTQGGEIVSLQHLAYLNKLTVVTKSNVLLFNV--RTGKLVFTSNFPDQI T TAEPAPVLDIIALGTVTGEVIMFNMRKGRIRTIKIPQSRISSLSFRTDGSSHLSVGTSSGDLIFYD L DRRSRIHVLKNIHRGVTQATFLNGQPIIVTSGGDNSLKEYVF-----DPSLSQGSG-----------------------DVVVQPPRYLR-----SRGGHSQPPSYIAFADSQSFMLSASKDRSLWSFSEMSQ---------------------RLHKKQDGGRVG----GSTIK------SKFPEIVALAIENARIGWENIITAHKDEFARTWDMR-------NKRVGRWTFTTDDGFVKSVAMSQCGNFGFIGSSGS ITIYNMQSGILRKKYKLHAVTGISLDGMNRKMVSCGLDGIVGFYDFNKSTLLGKLKL-DAPITAMVYHRSSDL FALALDDLSIVVID AVTQRVVRQLWG HSNRITAFDFS PEGRWIV SASLD-STIRTWDLVSTRTIDESEF-------LNDIDFNTYTSLEQIDKELLTLSIGPRSKMNTLLHLDVIRKRSK-----------------PK EAPKKSEK-----LPFFLKQLREGSQSKDYS SLLATLINFSPAAVDLEIRDALTQGLKSNKNFE LYETFMSLLFKAHHANNKNQDIASALQNWEDVHKDLVKFCMGVAAFVTTA-------------------------------------------
9 | 6nd4Q | 0.27 | 0.23 | 7.08 | 3.23 | CNFpred |  | -------------------------ECTYLEAHKDTDLLA VGYAGVIKVW D LMSKTVLLNFNGHKAAITLLQFDGTGTRLISGSKDSNIIVWDLVGEVGLYKLRSH KDSI TGFWCQGE-DWLISTS K DGMIKLW DLKTHQCIETHIAHTGECWGLAVKD--DL LITTGTDSQV KIWKL DI-EMGIFEKQSKQRGLKIEFITN-SFFYIQNADKTIETFRIRKEEE IARGFILHPFQTIRSLYKIKSASWTTVKLELVLTTSSNTIEYYSIP-IELQGQRTDVRSIDISDDNKLL ATAS-NGSLKIWNIKTHKCIRTF----------CGYALTCKFLP---GLLVILGTRNGELQLFDLA-DAAIWSLD LTSD---GKRLVTGSADKTVKFWDFKV------LKLHHDTTLEL-TDDILCVRVSPDDRYLAISLLNTVKVFFLDSMKFYLSLYKLPVLSID I SFDSKMIITSS A DKNIK I W G L D F G D C H K S L F A HQD SIMNVKFLPQS HNF FSCSK DAVVKYW DGEK F ECI QKLYAHQSEVWAL A VATDGGFV V S S S H DHSIRIW EETED------------------------------------SGVHKQTLESLK AGE RLM E ALDLGIAEIEGLEAYNRDMKLWEAPIKPQGNAVLIAV-NKTPEQYIMDTLLRIRMSQL EDALMVMP F S Y VLKFL KFIDTVMQNKSHLPL I CKNL F FIIKFNHKELVKNEELKLQINRVKTELRSALKSTEDDLG F NVQG LKFVKQQWNLRH------------------------------
10 | 3f6kA | 0.08 | 0.04 | 1.66 | 0.67 | DEthreader |  | ---------NNTH-H-FDDLRGSVSLSWVGD---STGVILVLTTSKLYRSEDYKNFKDITLINTFIRTFGMAIGPNSGKVVLTAEVGRIFRSSDFAKNFVQTDLPFHPLTQMMYSPQNSDYLLALSTENGLWVSKNFGGKWEEIHKAVC--L--AKWGSDNTIFFTTYCKLLELWRTLGKSFKTIGVKIY---S--FGLGG-RFLFASV--TTRRIHVSTDQGDTW------------------------------------------SMAQLPSVGQEQFY-SILAANDDMVFMHVDDTGFGTIFTSDDR---------------------------------------GIVYSKSLDRHLYTETDFTNVTSL-RGVYITSVLSNSIQTMITFDQ-----GGRWTHLRKECDATALHIHAPLSAVGIVIAHGS---VG--------D--A-ISVMVPDVYI SDDSWTKMLE-----G--------------------PHYYTILGGIIVAIEHSSRPINVIKFSQCWQTYTFTRDPIYFTGLASEPARSMNISIWGFTSQWVSYTIDFK--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
(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 | Ranka | Download | Estimated TM-scoreb
| 1 | model1.pdb.gz | 0.4248
(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)
Click to view | Rank | PDB Hit | TM-score | RMSDa | IDENa | Cov. | Download Alignment
--- | --- | --- | --- | --- | --- | --- | ---
| 1 | 5wlcLO | 0.79 | 4.18 | 0.135 | 0.894 | model1_5wlcLO.pdb.gz
| 2 | 5oqlA | 0.78 | 4.18 | 0.123 | 0.883 | model1_5oqlA.pdb.gz
| 3 | 5oqlO | 0.61 | 4.54 | 0.092 | 0.721 | model1_5oqlO.pdb.gz
| 4 | 5i2tA | 0.60 | 4.26 | 0.132 | 0.694 | model1_5i2tA.pdb.gz
| 5 | 5wyjBE | 0.58 | 4.79 | 0.100 | 0.700 | model1_5wyjBE.pdb.gz
| 6 | 1pevA | 0.58 | 4.72 | 0.116 | 0.694 | model1_1pevA.pdb.gz
| 7 | 4nsxA | 0.57 | 4.83 | 0.115 | 0.694 | model1_4nsxA.pdb.gz
| 8 | 6n8pA | 0.56 | 5.51 | 0.089 | 0.716 | model1_6n8pA.pdb.gz
| 9 | 4xfvA | 0.56 | 5.42 | 0.107 | 0.700 | model1_4xfvA.pdb.gz
| 10 | 2oajA | 0.55 | 5.71 | 0.084 | 0.704 | model1_2oajA.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) | RMSDa is the RMSD between residues that are structurally aligned by TM-align.
(d) | IDENa 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 | CscoreGO | Name
GO:0003676 | 0.39 | nucleic acid binding
GO:0003723 | 0.38 | RNA binding
GO:0030515 | 0.30 | snoRNA binding
Download full result of the above consensus prediction.

| Click the graph to show a high resolution version.
(a) | CscoreGO is the confidence score of predicted GO terms. CscoreGO 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 CscoreGO:
[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 | CscoreGO | Name
GO:0009987 | 0.80 | cellular process
GO:0008152 | 0.55 | metabolic process
GO:0071704 | 0.54 | organic substance metabolic process
GO:0044237 | 0.54 | cellular metabolic process
GO:0044260 | 0.53 | cellular macromolecule metabolic process
GO:0044238 | 0.53 | primary metabolic process

Download full result of the above consensus prediction.

| Click the graph to show a high resolution version.
(a) | CscoreGO is the confidence score of predicted GO terms. CscoreGO 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 CscoreGO:
[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 | CscoreGO | Name
GO:0044464 | 1.00 | cell part
GO:0044424 | 0.98 | intracellular part
GO:0032991 | 0.84 | macromolecular complex
GO:0044446 | 0.81 | intracellular organelle part
GO:0043234 | 0.75 | protein complex
GO:0043226 | 0.74 | organelle
GO:0043229 | 0.69 | intracellular organelle
GO:0044428 | 0.59 | nuclear part
GO:0044444 | 0.51 | cytoplasmic part
GO:0043227 | 0.50 | membrane-bounded organelle

Download full result of the above consensus prediction.

| Click the graph to show a high resolution version.
(a) | CscoreGO is the confidence score of predicted GO terms. CscoreGO 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 CscoreGO:
[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
Click to view | Rank | CscoreEC | PDB Hit | TM-score | RMSDa | IDENa | Cov. | EC Number | Predicted Active Site Residues
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
| 1 | 0.060 | 3gvjA | 0.310 | 5.49 | 0.074 | 0.387 | 3.2.1.129 | 174
| 2 | 0.060 | 1gthA | 0.306 | 8.99 | 0.036 | 0.509 | 1.3.1.2 | 299
| 3 | 0.060 | 1bxrA | 0.323 | 8.14 | 0.058 | 0.502 | 6.3.5.5 | NA
| 4 | 0.060 | 2pdaA | 0.323 | 8.78 | 0.024 | 0.524 | 1.2.7.1 | NA
| 5 | 0.060 | 1jofA | 0.321 | 3.54 | 0.047 | 0.356 | 5.5.1.5 | NA
| Click on the radio buttons to visualize predicted active site residues.
(a) | CscoreEC is the confidence score for the Enzyme Commission (EC) number prediction. CscoreEC 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) | RMSDa is the RMSD between residues that are structurally aligned by TM-align.
(d) | IDENa 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:
Click to view | Rank | CscoreLB | PDB Hit | TM-score | RMSDa | IDENa | Cov. | BS-score | Lig. Name | Download Complex | Predicted binding site residues
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
| 1 | 0.01 | 2ebsA | 0.502 | 6.55 | 0.070 | 0.682 | 0.17 | UUU | complex1.pdb.gz | 22,280,299,619
| 2 | 0.01 | 3i8eA | 0.473 | 7.76 | 0.066 | 0.712 | 0.11 | III | complex2.pdb.gz | 130,132,167,168,169,193,196,298
| 3 | 0.01 | 1sqj0 | 0.503 | 6.63 | 0.075 | 0.687 | 0.16 | III | complex3.pdb.gz | 131,147,148
| 4 | 0.01 | 2j040 | 0.351 | 5.97 | 0.057 | 0.448 | 0.15 | III | complex4.pdb.gz | 147,148,149
| 5 | 0.01 | 1yiqA | 0.367 | 4.85 | 0.095 | 0.438 | 0.17 | PQQ | complex5.pdb.gz | 69,110,167,168
| 6 | 0.01 | 3i8eB | 0.473 | 7.72 | 0.061 | 0.710 | 0.12 | III | complex6.pdb.gz | 158,167,168,169
| 7 | 0.01 | 2hye0 | 0.482 | 7.67 | 0.062 | 0.722 | 0.15 | III | complex7.pdb.gz | 24,26,69,211,212,236,238,239
| Click on the radio buttons to visualize predicted binding site and residues.
(a) | CscoreLB is the confidence score of predicted binding site. CscoreLB 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) | RMSDa the RMSD between residues that are structurally aligned by TM-align.
(e) | IDENa 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.