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I-TASSER results for job id S693378

(Click on S693378_results.tar.bz2 to download the tarball file including all modeling results listed on this page. Click on Annotation of I-TASSER Output to read the instructions for how to interpret the results on this page. Model results are kept on the server for 60 days, there is no way to retrieve the modeling data older than 2 months)

  Submitted Sequence in FASTA format

>protein
TITLEHCLDATATYPERIGINASCWNERDATETIMESPECTRMETERDATASYSTEMLCA
LERESLTINDELTACCNITSNANMETERSYNITSCDMDEGYNITSHTVYNITSANSRNAN
CEFIRSTCLASTCNPINTSFIRSTYMACYMINYCYDATAECTENDEDINFRMATINCMME
NTSSAMPLENAMEHCLCMMENTSERDIVISINCMPANYSDETAILEDINFRMATINCREA
TINDATEDATAARRAYTYPELINEARDATAARRAYHRIQNTALACISWAVELENGTHNMV
ERTICALACISCDMDEGVERTICALACISHTVVERTICALACISANSSTARTNMENDNMD
ATAINTERVALNMDATAPINTSMEASREMENTINFRMATININSTRMENTNAMECDMDEL
NAMESERIALNNACCESSRYSTANDARDACCESSRYSNNCELLLENGTHMMMEASREMEN
TDATEPHTMETRICMDECDHTANSMEASRERANGENMDATAPITCHNMSENSITIVITYS
TANDARDDITSECNANDWIDTHNMSTARTMDEIMMEDIATELYSCANNINGSPEEDNMMI
NNASELINECRRECTINNASELINESHTTERCNTRLMANALCDDETECTRPMTPMTVLTA
GEAT

  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
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |    
TITLEHCLDATATYPERIGINASCWNERDATETIMESPECTRMETERDATASYSTEMLCALERESLTINDELTACCNITSNANMETERSYNITSCDMDEGYNITSHTVYNITSANSRNANCEFIRSTCLASTCNPINTSFIRSTYMACYMINYCYDATAECTENDEDINFRMATINCMMENTSSAMPLENAMEHCLCMMENTSERDIVISINCMPANYSDETAILEDINFRMATINCREATINDATEDATAARRAYTYPELINEARDATAARRAYHRIQNTALACISWAVELENGTHNMVERTICALACISCDMDEGVERTICALACISHTVVERTICALACISANSSTARTNMENDNMDATAINTERVALNMDATAPINTSMEASREMENTINFRMATININSTRMENTNAMECDMDELNAMESERIALNNACCESSRYSTANDARDACCESSRYSNNCELLLENGTHMMMEASREMENTDATEPHTMETRICMDECDHTANSMEASRERANGENMDATAPITCHNMSENSITIVITYSTANDARDDITSECNANDWIDTHNMSTARTMDEIMMEDIATELYSCANNINGSPEEDNMMINNASELINECRRECTINNASELINESHTTERCNTRLMANALCDDETECTRPMTPMTVLTAGEAT
PredictionCCCHHHHHHCCCCCCHHCCCCHHHCCCCCHHHHHHCCCCCCCCCCCCCCCCHHHHHHHHHHHHHCCCCCHHHHHHHCCCCCCCCCHHCCCCCCCCCCCCCCCCCCSSSSSSCCCCCCCCCCHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCSSSSSSSSHHHCCCCCCCHHHHHHHHHHHHCCCCCCCSSSSSSCCCCCCCCCHHHHHHCCCSSSSSSCCCCCCCCCCHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHSSCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCHHHSSSCCCCCCCCCCHHHHHHHHHCCCCSSSSSSSCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHCCCCCCSSSHHHCCCHHHHHHHHHHHCCCCCCCCCCHHSSSHHHHCCCCHHHHHHHHHCCCCCCCCCCCSSSCCCCCCCSSSSSSSCCCCCCHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHCHHHHCHHHHHHHHHHHCCCCCHHHHHCCCCCHHHHHHHHHHHHHCCCCCCCCCCCCCCSSSSCCCCC
Conf.Score9205763302246800210451014543303666438644021000243100017888875642020022567650456777732000346531244567552202588621466677750546766766316864057899888999987654302110246764432355233200115654465477897668772277656369996022477664046665233025564221020355312457776503658887565555788889988753378776654212157405888876766101245443467877999870367888887887641357720001453566531000113314435466876513677787650201268887405301345876335767763456667775111221245563331567665301447650011306736888876652057788975111002344313641025666653267666776862332457673699999614553103444105754442024630333178999989999999775147899212121230599999998775132778887412232235667887664127721025788861686326669
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
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |    
TITLEHCLDATATYPERIGINASCWNERDATETIMESPECTRMETERDATASYSTEMLCALERESLTINDELTACCNITSNANMETERSYNITSCDMDEGYNITSHTVYNITSANSRNANCEFIRSTCLASTCNPINTSFIRSTYMACYMINYCYDATAECTENDEDINFRMATINCMMENTSSAMPLENAMEHCLCMMENTSERDIVISINCMPANYSDETAILEDINFRMATINCREATINDATEDATAARRAYTYPELINEARDATAARRAYHRIQNTALACISWAVELENGTHNMVERTICALACISCDMDEGVERTICALACISHTVVERTICALACISANSSTARTNMENDNMDATAINTERVALNMDATAPINTSMEASREMENTINFRMATININSTRMENTNAMECDMDELNAMESERIALNNACCESSRYSTANDARDACCESSRYSNNCELLLENGTHMMMEASREMENTDATEPHTMETRICMDECDHTANSMEASRERANGENMDATAPITCHNMSENSITIVITYSTANDARDDITSECNANDWIDTHNMSTARTMDEIMMEDIATELYSCANNINGSPEEDNMMINNASELINECRRECTINNASELINESHTTERCNTRLMANALCDDETECTRPMTPMTVLTAGEAT
Prediction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
Values range from 0 (buried residue) to 9 (highly exposed residue)

   Predicted normalized B-factor

(B-factor is a value to indicate the extent of the inherent thermal mobility of residues/atoms in proteins. In I-TASSER, this value is deduced from threading template proteins from the PDB in combination with the sequence profiles derived from sequence databases. The reported B-factor profile in the figure below corresponds to the normalized B-factor of the target protein, defined by B=(B'-u)/s, where B' is the raw B-factor value, u and s are respectively the mean and standard deviation of the raw B-factors along the sequence. Click here to read more about predicted normalized B-factor)


  Top 10 threading templates used by I-TASSER

(I-TASSER modeling starts from the structure templates identified by LOMETS from the PDB library. LOMETS is a meta-server threading approach containing multiple threading programs, where each threading program can generate tens of thousands of template alignments. I-TASSER only uses the templates of the highest significance in the threading alignments, the significance of which are measured by the Z-score, i.e. the difference between the raw and average scores in the unit of standard deviation. The templates in this section are the 10 best templates selected from the LOMETS threading programs. Usually, one template of the highest Z-score is selected from each threading program, where the threading programs are sorted by the average performance in the large-scale benchmark test experiments.)

Rank PDB
Hit
Iden1Iden2CovNorm.
Z-score
Download
Align.
                   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
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |    
Sec.Str
Seq
CCCHHHHHHCCCCCCHHCCCCHHHCCCCCHHHHHHCCCCCCCCCCCCCCCCHHHHHHHHHHHHHCCCCCHHHHHHHCCCCCCCCCHHCCCCCCCCCCCCCCCCCCSSSSSSCCCCCCCCCCHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCSSSSSSSSHHHCCCCCCCHHHHHHHHHHHHCCCCCCCSSSSSSCCCCCCCCCHHHHHHCCCSSSSSSCCCCCCCCCCHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHSSCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCCCCHHHSSSCCCCCCCCCCHHHHHHHHHCCCCSSSSSSSCCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHCCCCCCCCCCHHHHHHHHCCCCCCSSSHHHCCCHHHHHHHHHHHCCCCCCCCCCHHSSSHHHHCCCCHHHHHHHHHCCCCCCCCCCCSSSCCCCCCCSSSSSSSCCCCCCHHHHHHCCCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHCCCCCCHHHCHHHHCHHHHHHHHHHHCCCCCHHHHHCCCCCHHHHHHHHHHHHHCCCCCCCCCCCCCCSSSSCCCCC
TITLEHCLDATATYPERIGINASCWNERDATETIMESPECTRMETERDATASYSTEMLCALERESLTINDELTACCNITSNANMETERSYNITSCDMDEGYNITSHTVYNITSANSRNANCEFIRSTCLASTCNPINTSFIRSTYMACYMINYCYDATAECTENDEDINFRMATINCMMENTSSAMPLENAMEHCLCMMENTSERDIVISINCMPANYSDETAILEDINFRMATINCREATINDATEDATAARRAYTYPELINEARDATAARRAYHRIQNTALACISWAVELENGTHNMVERTICALACISCDMDEGVERTICALACISHTVVERTICALACISANSSTARTNMENDNMDATAINTERVALNMDATAPINTSMEASREMENTINFRMATININSTRMENTNAMECDMDELNAMESERIALNNACCESSRYSTANDARDACCESSRYSNNCELLLENGTHMMMEASREMENTDATEPHTMETRICMDECDHTANSMEASRERANGENMDATAPITCHNMSENSITIVITYSTANDARDDITSECNANDWIDTHNMSTARTMDEIMMEDIATELYSCANNINGSPEEDNMMINNASELINECRRECTINNASELINESHTTERCNTRLMANALCDDETECTRPMTPMTVLTAGEAT
16bfiA 0.10 0.20 0.98 1.23Download TPLVQGVGIAVTNLVQVAALPPSMQEVQQAAVFLSDAARLLKADQGRGVINGMSDLLMCADRSEVRKMVKVCRSVQEYLDVAKVDLATFLQNLTPGMTSMMKVVEQRHPELTNLAHAQILISSIRVCCLVIVKDSGMKDAAFGRDYVIQKLFIAIEEIIRVLQLTTSLAHMFHQAQDALASGDISRSTLDAVRKCISEGRRVAADELDQILKELEELQAKGLGDSRQARALAHAAAVKLQELEQEIRKALAERVATDFVNVGGPIKALEDAALASPSDPNRQANFAQKAKEFEAHTARLADTAELVASSGGCS-DAVAAELRKEAAKLRDISTAVVPAARVVLENPGNQAAKDYLRTVKEKWLEAAESMGRSVDGVIDSLEFMKVSEARIQADVKEAKRIALAEEDSMKLIAKASSVARQANRVIQVAKVEADNSEN---------PEFVAKLSSASESLAKSISPMVIEAKAVVTSPQNKDIQRKFCSSADKVVEGVAAVRSVIEDNWVPPRPPLPEAEEMLRAPLPPKDQNPIHHAAASVFREADQWDEKGNDLISLVKQMARKMAMMSKYTRGRSKADLIRMAKEIALNAQELLKLARQIANACMDKRAKTNLLQLLDRIPTISTQLKILATVKATSMGGGDARADADATDMLVGNAENLM
22mni 0.21 0.04 0.14 1.03Download ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------GSAMGH--------MPAVDVEIHF-------PLKRIAAEGYAEDE----------------------LLLNQMGKVNDTPEEEGMPLRA------------------WVIKCAHEALEKNPKIRE-VYLKPRAVKNSS-VQFHVIFDEE--
31u6zA 0.20 0.15 0.52 1.11Download EEAMTRGLNCLSLFAERLGF----------------SPAIVGTHTLRQAL--NATDFLKRAEKEIISGNEEARLIFMGVEHTQPEKGR-----------------KLVIDIGGGSSRRMGCVSFAQLYF-----PINENFQRARMAAAQKLEAAHEVLMEMGEKDGIINFASLSLPGLSEERKTV--FVPGLAILCGVFDALAIRELRLS------DGALREGVLYEMEGRFR---------HQDVRSRTASSLANQYSEQARRVLDTTMQMYEQWREQQQLEALLRWAAMLHNINHSGLHRHSAYILQNS-DLPGNQEQQLMMATLVRYFLPLIQLLRLGVLLNNQRQATTTPPT----LTLITDDSLRFPHDQNALVLLDLEKEQEYWEGVGWRLKIEEESTP-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
47q2xD 0.13 0.21 0.97 1.19Download SLSLNVIIDQLAVSPEQIPLTPKL--QTQLSYLISSSNLSKDIKANLGLIPQWHLEEYGFLQDELHKVSSNLESITNLSKIFQLEIEKNHGLTYFLLNDEYNYPQLTEDEISTRVFNAKDTTGPKAISLSELSRQMNLITLRVVEACGNIVAVLIELLEERF-QDSNPYVRTKAIQGCSKDLSSKFNKAKFTSLAVRSLQDRSSLVRRNSVKLL-------SKLLLKHPFKAIHGSLRLSEWEEYLKGSESQLNST---SVLMKLKLMIVYYKDAISFIKEIHKSIELISNLFSKNRNEVLESMFLVLADAFDIEFGIKKMLHLIECYKQEKAAHIAKNLINLSIGASIADLAYEQKLIDQHVINILWAIYNSASGFSKEQIHGSIIILG------MLSLADNEIALKGLESL---LNIGLGAVGLKLALERMVPKAINQELEDVAVKKLYAIINYTKDCEQALSKPDILATDLIREKTMMTFGKPSSRVVSLSQVYLEKCEAEFKKRKIEATNEDKENELLFGEKSILGKFCPIVEEIVSNSSRFSDLEKLMCLSTVMEKSPDPTIRSNAVLGLGDMADYLYRRLHDVKVKGQPDQGISDMCRLFFTELKDNAIYNGFIDIFSDDLLGKESFKKIIKFLLKERHQKVGRPYKNEDVTALLEQG
56v9iC 0.07 0.18 0.95 1.17Download -DFMRPIVLKLLRDLFSDVHAVCLWDDKGPAKIHQALKEDILEFIKQAQARVLSHQDDTALLKAYIVEWRKFFTQCDILPKPFCQLEITLNVEDSIVRKMLDTWNESIFSNIKNRLQDSAMKLVHAERLG---EAFDSQLVIGVRESYVNLCS-------------NPEDKLQIYRDNFEKAYLDSTERFYRTQAPSYLQQNGVQNYMKYADAKLKEEEKRALRYLETRRECNSVEALMECCVNALVTSFKETILAECQGMIKRNE-TEKLHLMFSLMDKVPNGIEPMLKDLEEHIISAGLADMVAAAETITTDSEKYVEQLLTLFNRFSKLVKEAFQDDPRFLTARDKAYKAVVNDKCPELLANYCDMLLRKTPLSKKLTSEEIEAKLKEVLLVLKYV-----------QNKDVFMRYHKAHLTRRLILDISADSEIEENMVEWLREVGMDYVNKLARMFQDIKVSEDLNQAFKEMHKALPADRSSEKVFVSLPTELEDLIPEVEEFYKKNHSGRKLHWHHLMSNGIITFKNEVGQYDLEVTTFQLAVLFAWNQRP---REKISFENLKLATELPDAELRRTLWSLVAFPKLKRQVLLYEPQVNSPKDFTEGTLFSVNQEFSLIKNAKVQKRGKINLIGRLQLTTERMREEENEGIVQLRILR
66bogA 0.12 0.22 0.83 1.10Download KL-----------------------VFSKPQDRLFAGQI--------------DRMDRFALRYRARKYSSEQFR-------------MPYSGLRGQRTSLIRHAPRVLLADEVGLGKTIEAGMILHQQLLSGAAEVPETLQHQWLVEMLRRERYAEAQHDAYNPFDTEQLVICSLDFARRS-----------KQRLEHLCEA-EWDLLVVDEASEDAPSREYQAIEQLAEHVPGVLLLTATPEQLGMESHFARLRLLDPNRFHDFAQFVEEQKNYRPVADAVAMLLA-----GNKLSNDELNMLGEMI-----GEQDIEPLLQAANSDAQSARQELVSMLMDRHGTSRVLFRNTRNGVKGFPKRELHTIKLPLPIMGARKSAEDRARDMLYPERI------YQEFEGDNATWWNFDVEWLMGYLTSHLQLEQVLREREGIGMSIIERDRAAAWFAEEDTCSEIGSEGRN----------FQFAS------HMVMF---DLPFNPDLLEQRIGRLDRIG----------QAHDIQIHVPY-LEKTAQSVLVRWYHEGLDAFEHTCPTGRTIYDSVYNDLINYLAS-----PDQTEGFDDLIKNCREQHEALKAQLEQGRAESIEEQDDDTNLIAFAMNLFDIIGINQDDRGD--NMIVLTPSDHM
77q2zE 0.13 0.20 0.92 1.16Download DINFQKAQGSYAGHRKHIGYEDAFNFWEIIGDRIVKQNYKLTNDEEG-IFSRFVDQFIRHVLR-GVESPDKLQLLAVIMDNIGEIDESLFNLNKRIYDREPTVRIQAVFCLTKFQDEEAPSAEVRRAAMLNNDNNTRPYILEVNRRLVYILKSM-GRKCFDDIEPHIF---DQLIEWGLEDRELSV-RNACKRLIAHDWLNALDGDLIELLEKLDVSRSSVKALFQSRPDILSKIKFPESIWKDFTEIAFLFRAIYNITEMLEENF--PEASKLSEHLNHYILLR------YHHFDYNTLEFIIEQLSIAAERYDYSDEVGRSMLTVVSEPLIKIGIRVMKSLSINEKDFVTMAIKEASSATIVLCLTRSSYMLVNTPLTENILIASLMDTLI--------TPAVRNTAELGVKNNMYILMCVSKGYIALQNTVVDGEGKVDSISLHKIFYKVLKNNGLPECQV-----IAAEGLCKLFLADVFTDSNEALVQAFAFCSHPAHQCVLWDDLQSSVIVDREAMLKPNIIFQQLLFW-TDPRNLVNQTGSTKKDTVQLTFL----IDVLKIYAQIEKKEIKKMIITNINAIFLSSEQDYSTLKELLEYSDDIAENDNLDNVSNALDKLR--NNLNSLI-EEI--NER------------------S
86v9iC 0.07 0.16 0.90 1.13Download -----------VEDSIVRKLMLDTWNESIF-------------SNIKNRLQDSAMKLVHAERLGEAFDSQLVIGVRESYVNLCSNPEDKLQIYRDNFEKAYLDSTERFYRTQAPSYLQQN------------------GVQNYMKYADAKLKEEEKRALRYLETRRECNSVEALMECCVNALVTSF-KETILAECQGMIKRNETEKLHLMFSLMNGIEPMLKDLEEHIISAGLADMVAAAETITTDSEKYVEQLLTLFNRFSKLVKEAFQDDPRFLTARDKAYKAVVNDKCPELLANYCDMLLRKTPLSKKLTSEEIEAKLKEVLLVLKYQNKDVFMRYHKAHLTRRLILDISADSEIEENMVEWLREVGMPADYVNKLARMFQDIKVSEDLNQFKEMHKALPADSVNIKSSEKVFVSLPTELEDLIPEVEEFYKKNHSGRKLHWHHLMSNGIITFKNEVGQYDLEVTTFQLAVLFAWNQRPREKISFENLKLATELPDAELRRTLWSLVAFPKLKREPQVNSPKDFTEGTLFSVNQEFSLIKNAKVQKRGKINLIGRLQLTTERMREEENEGIVQLRILRTQEAIIQIMKMR-----KKISNAQLQTELVEILK---------NMFLPQKKMIKEQIEWLIEHK----------YIRRDESDI
91iwpA 0.19 0.16 0.65 1.10Download AINVERTEQAMR----------------------LEAVEIARMLVDIHV----SREEIIAITT-AIT----PAKAVEVMAQMNLQKMRARR------------TPSNQCHVT--NLKDNPVQIAADAAEAGIRGGI-ARYAPFNALALLVGSQCGRVLTQCS-------------------------VEEATELELGMRGLTS---YAETVSV----YGTEAVFTDGLKMRYTSGTGSEALMGYSE----------SKSMLYLESRCIFITKGAG--VQNGAVSCIGMTGAVPSGIRAVLAENLIASMLVASANDQT----------FSHSDIRRTARTLMQMLPGTFSGYSAVPNYD-------------NMFAGSNFDEDFDDYNILQRDLMV-------------DGGLRPVTEAETIAIRQKAARAIQAVFRELGLPPIA---DEEVEAATYAHGSNEMPPRNVVEDLSAVEEMMKRNIT---GLDIVGALSRSGFASNILNMLRQRVTGDYL-QTSAILDRQFE--------VVSAVND----------INDYPGTYRIS--------------AERWAEIKNIPGQPDTIE-------------------------------------------------------------------
107mexA 0.10 0.23 0.98 1.09Download GSLQGHSIHNLPYFRYTRGLYFVISNSGENLPTLFNAHPKQKLLTVFPDSLEDAVDIDKITSQQTIPFYKIDESRIGDVHKHTKIGEPLYRCHECGCDDTCVLVNHHVCTDICTEFSPLHCALVELVLVFNQNIEPLPTIQKDITIKLERAQFLNDLKYENDYMFDKIDPENTVIIYNDEYNVHIDLLTSRISSVLGGFFAVQTNGLSATLHCLNIPNSSFQTTFRNMMGKTLCSEYLN--ATECRDMTPVVEKYYRYIDLYFDNRYWKRLRKDIQNV------IIPTLASSNLYKPIFCQQNHITRSVAYMDREPAIRECVVAKNIFENQSFLDIVWSIIDIFKEFCKVEGVQKSNLTKSYSISFKQGLYTLLSKVHDPNIPLRPKEIISLLTLCKLFNGAWKIKRKEGEHVLHEDQNFISYLEYTTSIYSIISEKSKDSIDSKLFLNAISSFLGNRSLTYKLIYDSHFLIEKVSLKDAYEALEDCSDFLKISDFS--LRSVVLCSQIDVRNGMSVLHQASYYKNNPELGSYSRLAILWERDDIPRNILDRWELLDWFTGEVDYQHTVYEDKIIQQFIAFIYQILTEKTFSSLKDNSIIYNLSKLLRSVPDYLTEDTTEEALEEENEFESSATIIKSHLDEIAKVVLIPQVSIKQLDKDALNV
(a)All the residues are colored in black; however, those residues in template which are identical to the residue in the query sequence are highlighted in color. Coloring scheme is based on the property of amino acids, where polar are brightly coloured while non-polar residues are colored in dark shade. (more about the colors used)
(b)Rank of templates represents the top ten threading templates used by I-TASSER.
(c)Ident1 is the percentage sequence identity of the templates in the threading aligned region with the query sequence.
(d)Ident2 is the percentage sequence identity of the whole template chains with query sequence.
(e)Cov represents the coverage of the threading alignment and is equal to the number of aligned residues divided by the length of query protein.
(f)Norm. Z-score is the normalized Z-score of the threading alignments. Alignment with a Normalized Z-score >1 mean a good alignment and vice versa.
(g)Download Align. provides the 3D structure of the aligned regions of the threading templates.
(h)The top 10 alignments reported above (in order of their ranking) are from the following threading programs:
       1: Neff-PPAS   2: HHSEARCH2   3: pGenTHREADER   4: PROSPECT2   5: Neff-PPAS   6: pGenTHREADER   7: PROSPECT2   8: Neff-PPAS   9: pGenTHREADER   10: PROSPECT2   

   Top 5 final models predicted by I-TASSER

(For each target, I-TASSER simulations generate a large ensemble of structural conformations, called decoys. To select the final models, I-TASSER uses the SPICKER program to cluster all the decoys based on the pair-wise structure similarity, and reports up to five models which corresponds to the five largest structure clusters. The confidence of each model is quantitatively measured by C-score that is calculated based on the significance of threading template alignments and the convergence parameters of the structure assembly simulations. C-score is typically in the range of [-5, 2], where a C-score of a higher value signifies a model with a higher confidence and vice-versa. TM-score and RMSD are estimated based on C-score and protein length following the correlation observed between these qualities. Since the top 5 models are ranked by the cluster size, it is possible that the lower-rank models have a higher C-score in rare cases. Although the first model has a better quality in most cases, it is also possible that the lower-rank models have a better quality than the higher-rank models as seen in our benchmark tests. If the I-TASSER simulations converge, it is possible to have less than 5 clusters generated; this is usually an indication that the models have a good quality because of the converged simulations.)
    (By right-click on the images, you can export image file or change the configurations, e.g. modifying the background color or stopping the spin of your models)
  • Download Model 1
  • C-score=-1.83 (Read more about C-score)
  • Estimated TM-score = 0.49±0.15
  • Estimated RMSD = 12.4±4.3Å

  • Download Model 2
  • C-score = -1.70

  • Download Model 3
  • C-score = -3.75

  • Download Model 4
  • C-score = -4.79

  • Download Model 5
  • C-score = -4.16


  Proteins structurally close to the target in the PDB (as identified by TM-align)

(After the structure assembly simulation, I-TASSER uses the TM-align structural alignment program to match the first I-TASSER model to all structures in the PDB library. This section reports the top 10 proteins from the PDB that have the closest structural similarity, i.e. the highest TM-score, to the predicted I-TASSER model. Due to the structural similarity, these proteins often have similar function to the target. However, users are encouraged to use the data in the next section 'Predicted function using COACH' to infer the function of the target protein, since COACH has been extensively trained to derive biological functions from multi-source of sequence and structure features which has on average a higher accuracy than the function annotations derived only from the global structure comparison.)


Top 10 Identified stuctural analogs in PDB

Click
to view
RankPDB HitTM-scoreRMSDaIDENaCovAlignment
16bfiA0.964 1.490.0900.980Download
21st6A0.842 3.930.0920.946Download
31tr2B0.788 4.210.0880.907Download
44iggA0.580 6.090.0650.765Download
55h5mA0.430 3.380.0860.477Download
66h3iA0.380 8.030.0490.615Download
76r9tA0.365 6.620.0280.507Download
87bvcB0.353 7.480.0470.538Download
97bvfA10.351 7.560.0470.536Download
106rw8A0.351 8.060.0340.568Download

(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 function using COFACTOR and COACH

(This section reports biological annotations of the target protein by COFACTOR and COACH based on the I-TASSER structure prediction. While COFACTOR deduces protein functions (ligand-binding sites, EC and GO) using structure comparison and protein-protein networks, COACH is a meta-server approach that combines multiple function annotation results (on ligand-binding sites) from the COFACTOR, TM-SITE and S-SITE programs.)

  Ligand binding sites


Click
to view
RankC-scoreCluster
size
PDB
Hit
Lig
Name
Download
Complex
Ligand Binding Site Residues
10.04 2 2xgxA AKG Rep, Mult 420,424
20.04 2 5fmfA Nuc.Acid Rep, Mult 30,32,33,35,36
30.04 2 2ozbE CA Rep, Mult 416,419
40.03 1 N/A N/A N/A 173,239,243,244,311,375,431,509,512,516,519,560,596,609,612,619
50.02 1 3u9jB FE Rep, Mult 380,427,431,505,508


Download the residue-specific ligand binding probability, which is estimated by SVM.
Download the all possible binding ligands and detailed prediction summary.
Download the templates clustering results.
(a)C-score is the confidence score of the prediction. C-score ranges [0-1], where a higher score indicates a more reliable prediction.
(b)Cluster size is the total number of templates in a cluster.
(c)Lig Name is name of possible binding ligand. Click the name to view its information in the BioLiP database.
(d)Rep is a single complex structure with the most representative ligand in the cluster, i.e., the one listed in the Lig Name column.
Mult is the complex structures with all potential binding ligands in the cluster.

  Enzyme Commission (EC) numbers and active sites


Click
to view
RankCscoreECPDB
Hit
TM-scoreRMSDaIDENaCovEC NumberActive Site Residues
10.0971ea0A0.321 8.270.0360.532 1.4.1.13  NA
20.0972vdcF0.333 8.350.0390.554 1.4.1.13  NA
30.0971jqnA0.319 7.420.0580.485 4.1.1.31  NA
40.0952vdcA0.332 8.140.0380.541 1.4.1.13  NA
50.0931u22A0.313 7.820.0450.500 2.1.1.14  NA

 Click on the radio buttons to visualize predicted active site residues.
(a)CscoreEC is the confidence score for the 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.

  Gene Ontology (GO) terms
Top 10 homologous GO templates in PDB 
RankCscoreGOTM-scoreRMSDaIDENaCovPDB HitAssociated GO Terms
1 0.220.8416 3.93 0.09 0.951st6A GO:0090136 GO:0005911 GO:0034394 GO:0030032 GO:0005856 GO:0007155 GO:0043297 GO:0005913 GO:0002009 GO:0045296 GO:0043034 GO:0005737 GO:0002166 GO:0030054 GO:0034333 GO:0003779 GO:0005743 GO:0005886 GO:0005916 GO:0043234 GO:0008013 GO:0005515 GO:0045294 GO:0016020 GO:0005912 GO:0030334 GO:0005925 GO:0005198 GO:0015629
2 0.210.7882 4.21 0.09 0.911tr2B GO:0034333 GO:0001725 GO:0005916 GO:0005576 GO:0043297 GO:0043034 GO:0002166 GO:0016020 GO:0005737 GO:0030336 GO:0045296 GO:0030054 GO:0005912 GO:0005925 GO:0005911 GO:0005913 GO:0030168 GO:0008013 GO:0003779 GO:0045294 GO:0006936 GO:0030032 GO:0034394 GO:0007596 GO:0007155 GO:0005829 GO:0006928 GO:0007160 GO:0090136 GO:0017048 GO:0005884 GO:0030055 GO:0002576 GO:0005856 GO:0002009 GO:0043234 GO:0005886 GO:0030334 GO:0005515 GO:0005198 GO:0015629
3 0.110.3141 8.27 0.03 0.523gtgA GO:0016740 GO:0006351 GO:0003968 GO:0003677 GO:0005665 GO:0006366 GO:0005634 GO:0003899 GO:0005739 GO:0046872 GO:0005515 GO:0016779
4 0.100.3186 7.42 0.06 0.481jqnA GO:0003824 GO:0008152 GO:0008964 GO:0006099 GO:0016829 GO:0015977 GO:0005515
5 0.100.3317 8.14 0.04 0.542vdcA GO:0006541 GO:0051538 GO:0051536 GO:0055114 GO:0004355 GO:0008652 GO:0046872 GO:0006537 GO:0016491 GO:0003824 GO:0006807 GO:0008152 GO:0015930
6 0.090.3085 7.46 0.03 0.471llwA GO:0016491 GO:0046872 GO:0008652 GO:0006541 GO:0051536 GO:0055114 GO:0051538 GO:0016041 GO:0005515 GO:0006537 GO:0003824 GO:0006807 GO:0008152 GO:0015930
7 0.090.3187 7.79 0.04 0.511u1hA GO:0009507 GO:0005777 GO:0048046 GO:0016740 GO:0008705 GO:0008168 GO:0005886 GO:0009570 GO:0016020 GO:0009086 GO:0005737 GO:0005774 GO:0003871 GO:0046872 GO:0010043 GO:0008652 GO:0005507 GO:0009651 GO:0046686 GO:0005829 GO:0032259 GO:0008270
8 0.090.3069 7.62 0.04 0.471jqoA GO:0008152 GO:0003824 GO:0015977 GO:0006099 GO:0008964 GO:0005737 GO:0015979 GO:0016829
9 0.090.2994 8.29 0.03 0.502np0A GO:0016020 GO:0020002 GO:0044221 GO:0005829 GO:0044231 GO:0004222 GO:0008237 GO:0005886 GO:0007269 GO:0030430 GO:0046872 GO:0044164 GO:0008233 GO:0016787 GO:0033644 GO:0016021 GO:0009405 GO:0044156 GO:0005576 GO:0030666 GO:0006508 GO:0008270 GO:0050827 GO:0051609
10 0.090.3006 8.43 0.04 0.502j5wA GO:0046872 GO:0005576 GO:0006879 GO:0005615 GO:0055085 GO:0005507 GO:0004322 GO:0005515 GO:0006811 GO:0016491 GO:0006810 GO:0051087 GO:0006825 GO:0055114


Consensus prediction of GO terms
 
Molecular Function GO:0017016 GO:0043167 GO:0002166 GO:0003779 GO:0008013 GO:0005198 GO:0045294 GO:0045296
GO-Score 0.41 0.39 0.38 0.38 0.38 0.38 0.38 0.38
Biological Process GO:0042060 GO:0050817 GO:0001775 GO:0031589 GO:0003012 GO:0007599 GO:2000146 GO:0006887 GO:0030334 GO:0034333
GO-Score 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.41 0.38 0.38
Cellular Component GO:0019866 GO:0031966 GO:0032432 GO:0042641 GO:0005925 GO:0005916 GO:0043034 GO:0043234
GO-Score 0.44 0.43 0.41 0.41 0.38 0.38 0.38 0.38

(a)CscoreGO is a combined measure for evaluating global and local similarity between query and template protein. It's range is [0-1] and higher values indicate more confident predictions.
(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.
(f)The second table shows a consensus GO terms amongst the top scoring templates. The GO-Score associated with each prediction is defined as the average weight of the GO term, where the weights are assigned based on CscoreGO of the template.


[Click on S693378_results.tar.bz2 to download the tarball file including all modeling results listed on this page]



Please cite the following articles when you use the I-TASSER server:
  • 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. Cell Reports Methods, 1: 100014 (2021).
  • Chengxin Zhang, Peter L. Freddolino, and Yang Zhang. COFACTOR: improved protein function prediction by combining structure, sequence and protein-protein interaction information. Nucleic Acids Research, 45: W291-299 (2017).
  • Jianyi Yang, Yang Zhang. I-TASSER server: new development for protein structure and function predictions, Nucleic Acids Research, 43: W174-W181, 2015.