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I-TASSER results for job id S692811

(Click on S692811_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
MDELGIPVYKRGFPEHLLRGYEFIIDVGTKIESVGGRHDVTKIPEMNAYDIKQESIRTAL
WYNPIRNDGIVLPRVLDITLRGYDERRAVVESTRHKSFHTNDQWVQWMMKDSMDAQPLKV
GLDDQSRNVAHSLHNCVVKIDSKKADTMSYHVEPIEDASKGCLHTRTMMWNHLVRIETFH
AAQEVAYTLKPTYDIVVHAERRDRSQPFRPGDQTLINFGRGQKVAMNHNSYDKMVEGLTH
LVIRGKTPEVIRDDIASLDEICNRWIQSRHDPGEIKAYELCKILSTIGRKVLDREKEPED
EANLSIRFQEAIDNKFRQHDPERLKIFEHRNQRRDEDRFYILLMIAASDTFNTRVWWSNP
YPCLRGTLIASETKLGDVYSMMRSWYDWSVRPTYTPYEKTREQEKYIYGRVNLFDFVAEP
GIKIVHWEYRLNHSTREITYAQGNPCDLYPEDDDVIVTKFDDVAYGQMINEMINGGWNQE
QFKMHKILKTEGNVLTIDFEKDAKLTTNEGVTMPEYFNKWIIAPMFNAKLRIKHEEIAQR
QSDDPMVKRTLSPITADPIELQRLTLARFYDIRPALRGQALSRQQAQSTYDEEISKKAGY
AEILKRRGIVQIPKKPCPTVTAQYTLERYALFIINYLQQHVARDCDEEAIYEHPKADYEL
EIFGESIVDISQVIVLVFDLIFERRRRVRDVYESRYIIARIRRMRGKERLNVIAEFFPTY
GSLLNGLNSATVVQDIMYLNFLPLYFLAGDNMIYSHRQWSIPLLLYTHEVMVIPLEVGSY
NDRCGLIAYLEYMVFFPSKAIRLSKLNEAHAKIAREMLKYYANTTVYDGGDNYNVVTTKQ
LLYETYLASLCGGISDGIVWYLPITHPNKCIVAIEVSDERVPASIRAGRIRLRFPLSARH
LKGVVIIQIDRGGRFTVYSEGIVSHRVCKKNLLKYMCDIILLKFSGHVFGNDEMLTKLLN
V

  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                 820                 840                 860                 880                 900                 920                 940                 960
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   | 
MDELGIPVYKRGFPEHLLRGYEFIIDVGTKIESVGGRHDVTKIPEMNAYDIKQESIRTALWYNPIRNDGIVLPRVLDITLRGYDERRAVVESTRHKSFHTNDQWVQWMMKDSMDAQPLKVGLDDQSRNVAHSLHNCVVKIDSKKADTMSYHVEPIEDASKGCLHTRTMMWNHLVRIETFHAAQEVAYTLKPTYDIVVHAERRDRSQPFRPGDQTLINFGRGQKVAMNHNSYDKMVEGLTHLVIRGKTPEVIRDDIASLDEICNRWIQSRHDPGEIKAYELCKILSTIGRKVLDREKEPEDEANLSIRFQEAIDNKFRQHDPERLKIFEHRNQRRDEDRFYILLMIAASDTFNTRVWWSNPYPCLRGTLIASETKLGDVYSMMRSWYDWSVRPTYTPYEKTREQEKYIYGRVNLFDFVAEPGIKIVHWEYRLNHSTREITYAQGNPCDLYPEDDDVIVTKFDDVAYGQMINEMINGGWNQEQFKMHKILKTEGNVLTIDFEKDAKLTTNEGVTMPEYFNKWIIAPMFNAKLRIKHEEIAQRQSDDPMVKRTLSPITADPIELQRLTLARFYDIRPALRGQALSRQQAQSTYDEEISKKAGYAEILKRRGIVQIPKKPCPTVTAQYTLERYALFIINYLQQHVARDCDEEAIYEHPKADYELEIFGESIVDISQVIVLVFDLIFERRRRVRDVYESRYIIARIRRMRGKERLNVIAEFFPTYGSLLNGLNSATVVQDIMYLNFLPLYFLAGDNMIYSHRQWSIPLLLYTHEVMVIPLEVGSYNDRCGLIAYLEYMVFFPSKAIRLSKLNEAHAKIAREMLKYYANTTVYDGGDNYNVVTTKQLLYETYLASLCGGISDGIVWYLPITHPNKCIVAIEVSDERVPASIRAGRIRLRFPLSARHLKGVVIIQIDRGGRFTVYSEGIVSHRVCKKNLLKYMCDIILLKFSGHVFGNDEMLTKLLNV
PredictionCCCCSSSSSCCCCCHHHHCCCCSSSSCCCCCCCCCCCCCHHHCCCCCSSSCCCHHHHHHHHCCCCCCCCSSCCHHHHHHHHHHHHHHHHHCCCCCCCCCCCHHHHHHHHHHHHCCCCSSSSSCCCCCSSSSSSSCCSSSSSCCCCCSSSSSSSSCCCCCCCCCCCHHHHHHHHHHHHHHHHCCHHHCCCCCSSSSSSSSSSCCCCCCCCCCCCSSSSSCCCCSSSCCCCHHHHHHCCSSSSSSSCCCHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHCHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHCCCCSSSSSCCCCCCCCCHHHHHHHHHHHHCCCCCCSSCCCCCHHHHHHHHHHHHHHCCHHHHHHHHSSSCCCCCCCCCCHHCCCCCCSSSSSCCCCCCCCCCCSSSSSSSSSCCCCCSSSHHCCCCCCCCCCCCCSSSSSCCHHHHHHHHHHHHHCCCCCCCCCHHHHHHCCCCSSSSSSCCSSSSCCCCCSSCCCCCCCSSSCCCCCCSSSSSSSSSCCCCCCCCHHHHHHHHHCCCHHHHHHCCCCCSSCCCHHHCCCCCCCCCHHHHHHHHHHHCCCCHHHHHHCCCCCCCCCCCCSSSSSSSHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCHHHCCCCSSSHHHHHHHHHHHHHCCCSSCCCHHHHHHHHHHHHHCCCHHHHHHHHHHCHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHCCCSSSCCCCCCCCSSSSCCCSSSSSSSCCCCCCCCCHHHHHHHHHCCCCHHHHCCCCHHHHHHHHHHHHHHHHCCSSCCCCCCCCSSSSSHHHHHHHHHCCCCCHHHSSSSSSSCCCCCCCSSSSSSSCCCCCHHHHHHHHHHHHHHHHHCCCSSSSSSSCCCCSSSSSSCCCCSSSSSSSSCCCCCCSSSSSSCCCSSSCCHHHHHHHHCC
Conf.Score9851241355889978951686899976533555677785346776425524457789986389999977855577788898765543320367743447369999987633136620112347776389997076799822541248999997477778987757999999997434242213213157717999987742667751079854887057968852775266775232699995568056579999999999999755898102159999999988574330566586765789899999999987625740256420467888401249999987521258725627985788779999987716589988753122035777763210224661588531423678868767998998437762555500960777788776777734789999999999868865000336776306885578874212052688878587300557660023653677789952788999346554214307828877534565520342002340224520558999976442300455430323457888876534673999999999999986553445321014783232012054426576783666675552464441437999999999986253679999999664899999744330057777999999999970776133014565007998074599988547645677677869886026575550132207999999999998621612035445663687077789998644777211689999636897748999995798867888999998707777325359999985898079985475269987632036664799994598663658998886169
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                 820                 840                 860                 880                 900                 920                 940                 960
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   | 
MDELGIPVYKRGFPEHLLRGYEFIIDVGTKIESVGGRHDVTKIPEMNAYDIKQESIRTALWYNPIRNDGIVLPRVLDITLRGYDERRAVVESTRHKSFHTNDQWVQWMMKDSMDAQPLKVGLDDQSRNVAHSLHNCVVKIDSKKADTMSYHVEPIEDASKGCLHTRTMMWNHLVRIETFHAAQEVAYTLKPTYDIVVHAERRDRSQPFRPGDQTLINFGRGQKVAMNHNSYDKMVEGLTHLVIRGKTPEVIRDDIASLDEICNRWIQSRHDPGEIKAYELCKILSTIGRKVLDREKEPEDEANLSIRFQEAIDNKFRQHDPERLKIFEHRNQRRDEDRFYILLMIAASDTFNTRVWWSNPYPCLRGTLIASETKLGDVYSMMRSWYDWSVRPTYTPYEKTREQEKYIYGRVNLFDFVAEPGIKIVHWEYRLNHSTREITYAQGNPCDLYPEDDDVIVTKFDDVAYGQMINEMINGGWNQEQFKMHKILKTEGNVLTIDFEKDAKLTTNEGVTMPEYFNKWIIAPMFNAKLRIKHEEIAQRQSDDPMVKRTLSPITADPIELQRLTLARFYDIRPALRGQALSRQQAQSTYDEEISKKAGYAEILKRRGIVQIPKKPCPTVTAQYTLERYALFIINYLQQHVARDCDEEAIYEHPKADYELEIFGESIVDISQVIVLVFDLIFERRRRVRDVYESRYIIARIRRMRGKERLNVIAEFFPTYGSLLNGLNSATVVQDIMYLNFLPLYFLAGDNMIYSHRQWSIPLLLYTHEVMVIPLEVGSYNDRCGLIAYLEYMVFFPSKAIRLSKLNEAHAKIAREMLKYYANTTVYDGGDNYNVVTTKQLLYETYLASLCGGISDGIVWYLPITHPNKCIVAIEVSDERVPASIRAGRIRLRFPLSARHLKGVVIIQIDRGGRFTVYSEGIVSHRVCKKNLLKYMCDIILLKFSGHVFGNDEMLTKLLNV
Prediction6320000014440134004301000101432454544231330353301303434024004342464110000100100020003134334554333323444003200432242130203144442302110110202031320000001121144464312103010000001000010000000103430302020343436441424433113133433132335314302411020204342254045204303400430264434633030330041014103431444332432530132014203530364344333022334344333000000000001013210123121000000000020101100300133030301341442634264431000001003263434330020213236443401153113044344432201030146203400330063314443130130045432003010321030144010100210121010000203020130202244342212420144034310000200000000001001032134444333024304634624511443324434641001000100001001000210331024442442304134231424433330210000000000000243431343420210020023343430240034001300300330340630320000001000000022031432310000000033000000001212311000000000000003433644034103400310030003030243334331220222102000000000000000000000203100000000133044330131013203301400100000002462303023333020210310103140000001042200113100010124
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                 680                 700                 720                 740                 760                 780                 800                 820                 840                 860                 880                 900                 920                 940                 960
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Sec.Str
Seq
CCCCSSSSSCCCCCHHHHCCCCSSSSCCCCCCCCCCCCCHHHCCCCCSSSCCCHHHHHHHHCCCCCCCCSSCCHHHHHHHHHHHHHHHHHCCCCCCCCCCCHHHHHHHHHHHHCCCCSSSSSCCCCCSSSSSSSCCSSSSSCCCCCSSSSSSSSCCCCCCCCCCCHHHHHHHHHHHHHHHHCCHHHCCCCCSSSSSSSSSSCCCCCCCCCCCCSSSSSCCCCSSSCCCCHHHHHHCCSSSSSSSCCCHHHHHHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHCHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHCCCCSSSSSCCCCCCCCCHHHHHHHHHHHHCCCCCCSSCCCCCHHHHHHHHHHHHHHCCHHHHHHHHSSSCCCCCCCCCCHHCCCCCCSSSSSCCCCCCCCCCCSSSSSSSSSCCCCCSSSHHCCCCCCCCCCCCCSSSSSCCHHHHHHHHHHHHHCCCCCCCCCHHHHHHCCCCSSSSSSCCSSSSCCCCCSSCCCCCCCSSSCCCCCCSSSSSSSSSCCCCCCCCHHHHHHHHHCCCHHHHHHCCCCCSSCCCHHHCCCCCCCCCHHHHHHHHHHHCCCCHHHHHHCCCCCCCCCCCCSSSSSSSHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCCCCCHHHCCCCSSSHHHHHHHHHHHHHCCCSSCCCHHHHHHHHHHHHHCCCHHHHHHHHHHCHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHCCCSSSCCCCCCCCSSSSCCCSSSSSSSCCCCCCCCCHHHHHHHHHCCCCHHHHCCCCHHHHHHHHHHHHHHHHCCSSCCCCCCCCSSSSSHHHHHHHHHCCCCCHHHSSSSSSSCCCCCCCSSSSSSSCCCCCHHHHHHHHHHHHHHHHHCCCSSSSSSSCCCCSSSSSSCCCCSSSSSSSSCCCCCCSSSSSSCCCSSSCCHHHHHHHHCC
MDELGIPVYKRGFPEHLLRGYEFIIDVGTKIESVGGRHDVTKIPEMNAYDIKQESIRTALWYNPIRNDGIVLPRVLDITLRGYDERRAVVESTRHKSFHTNDQWVQWMMKDSMDAQPLKVGLDDQSRNVAHSLHNCVVKIDSKKADTMSYHVEPIEDASKGCLHTRTMMWNHLVRIETFHAAQEVAYTLKPTYDIVVHAERRDRSQPFRPGDQTLINFGRGQKVAMNHNSYDKMVEGLTHLVIRGKTPEVIRDDIASLDEICNRWIQSRHDPGEIKAYELCKILSTIGRKVLDREKEPEDEANLSIRFQEAIDNKFRQHDPERLKIFEHRNQRRDEDRFYILLMIAASDTFNTRVWWSNPYPCLRGTLIASETKLGDVYSMMRSWYDWSVRPTYTPYEKTREQEKYIYGRVNLFDFVAEPGIKIVHWEYRLNHSTREITYAQGNPCDLYPEDDDVIVTKFDDVAYGQMINEMINGGWNQEQFKMHKILKTEGNVLTIDFEKDAKLTTNEGVTMPEYFNKWIIAPMFNAKLRIKHEEIAQRQSDDPMVKRTLSPITADPIELQRLTLARFYDIRPALRGQALSRQQAQSTYDEEISKKAGYAEILKRRGIVQIPKKPCPTVTAQYTLERYALFIINYLQQHVARDCDEEAIYEHPKADYELEIFGESIVDISQVIVLVFDLIFERRRRVRDVYESRYIIARIRRMRGKERLNVIAEFFPTYGSLLNGLNSATVVQDIMYLNFLPLYFLAGDNMIYSHRQWSIPLLLYTHEVMVIPLEVGSYNDRCGLIAYLEYMVFFPSKAIRLSKLNEAHAKIAREMLKYYANTTVYDGGDNYNVVTTKQLLYETYLASLCGGISDGIVWYLPITHPNKCIVAIEVSDERVPASIRAGRIRLRFPLSARHLKGVVIIQIDRGGRFTVYSEGIVSHRVCKKNLLKYMCDIILLKFSGHVFGNDEMLTKLLNV
13j9dA 0.96 0.75 0.78 6.58Download MDELGIPVYKRGFPEHLLRGYEFIIDVGTKIESVGGRHDVTKIPEMNAYDIKQESIRTALWYNPIRNDGFVLPRVLDITLRGYDERRAVVESTRHKSFHTNDQWVQWMMKDSMDAQPLKVGLDDQSRNVAHSLHNCVVKIDSKKADTMSYHVEPIEDASKGCLHTRTMMWNHLVRIETFHAAQEVAYTLKYIYG-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------RVNLFDFVAEPGIKIVHWEYRLNHSTREITYAQGNPCDLYPEDDDVIVTKFDDVAYGQMINEMINGGWNQEQFKMHKILKSEGNVLTIDFEKDAKLTTNEGVTMPEYFNKWIIAPMFNAKLRIKHEEIAQRQSDDPMVKRTLSPITADPIELQRLTLARFYDIRPALRGQALSRQQAQSTYDEEISKRQDYAEILKRRGIVQIPKKPCPTVTAQYTLERYALFIISILQQHVVRDCDEEAVYEHPKADHELEIFGESIVDISQVIILAFDLIFERRRRVRDVYESRHIIARIRRMRGKERLNVIAEFFPTYGGLLNGLNSATVVQNIMYLNFLPLYFLVGDNMIYSHRQWSIPLLLYTHEVMVVPLEVGSYNDRCGLIAYLEYMVFFPSKAIRFSKLNEAQPKIAREMLKYYANTTVYDGGVNYNVVTTKQLLYETYLASLCGGISDGIVWYLPITHPNKCIVAIEVSDERVPASIRAGRIRLRFPLSARHLKGVVIIQIDEEGEFTVYSEGIVSHRVCKKNLLKYMCDIILLKFSGHVFGNDEMLTKLLNV
27oriA 0.09 0.28 0.90 0.76Download CKSLNIE-YRNDVPIDIILNVLYIIDYKVSVSNESSVITYDKYYELTRDISDRIPIEIVIIRIDPVSRDLHITIVVDINFNQFFDLKQLLYEKFGDD--------EEFLLKVADFTLTAPWCKTGCPEFSM----------PVPEESVKFN---AYESERW--NTNLVKIREYTKKDYSEHISKSAKNIFLA------------SGFYKQPNKLMVERVQDQREISKSLHDQKP---SIHFIWGAHNPGNSNNATFKLILLSKSLQSKGISTYTEAFKSLGKMYEEFCMSLKSKRSSWKQIMSEKLKLFKNMYLASLTMMEQSKKILSKSNGLKPDNFILNEFGSRIKDANK--ETYDNMHKIFETGYWQCISDFSTLMKNILSVSQ------------YNRHNTFRIAMCNVFAIVFPSAATVVYSIIVLHKEEENIFNPGCLHGTFKCMNGYISISRLDKERCQRIVSSPGLFKHDNPTLVMSDLSITKSVLSLTEPARIS-------SNVKDYFSPYTKTYMTRLRVQLRDIYLSDYDITQKGIKDNREPGSVTLKEYLTQIYLPFYFNAKGLHEK-------HHVMVDLAKTILEIECEQRENIKEWSTNCTKQTVNLKILIHSLCKNLLADTSRHNHRRSSKSKIGDFREKEYMLRNAMPNYTDYISTKVFDRLYELLDKKVLTDKPVIEQIMDMMIDHKKKMCMYAVERIAKERCKLNPDSEPGDGKLKVLEQKSEQEIRFLVETTRQKNREIDKA------KGLKMEINADMSKSAQDVFYKYFWLIALDPI------LYPQEKERILYFMCNYMDKELLDQKVNSNTVLIKRNYTSSYVHSCAMSVYKLVNSLVHS---DDNQTSITIVQDKMENDKIIDFAMKEFERACLTF----GCQANMKKTYVTNC--------IKEFVS-----LFNLYGEPFSIYGRFLLTSVGDC
33j9d 0.97 0.75 0.7810.42Download MDELGIPVYKRGFPEHLLRGYEFIIDVGTKIESVGGRHDVTKIPEMNAYDIKQESIRTALWYNPIRNDGFVLPRVLDITLRGYDERRAVVESTRHKSFHTNDQWVQWMMKDSMDAQPLKVGLDDQSRNVAHSLHNCVVKIDSKKADTMSYHVEPIEDASKGCLHTRTMMWNHLVRIETFHAAQEVAYTL-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------KYIYGRVNLFDFVAEPGIKIVHWEYRLNHSTREITYAQGNPCDLYPEDDDVIVTKFDDVAYGQMINEMINGGWNQEQFKMHKILKSEGNVLTIDFEKDAKLTTNEGVTMPEYFNKWIIAPMFNAKLRIKHEEIAQRQSDDPMVKRTLSPITADPIELQRLTLARFYDIRPALRGQALSRQQAQSTYDEEISKRQDYAEILKRRGIVQIPKKPCPTVTAQYTLERYALFIISILQQHVVRDCDEEAVYEHPKADHELEIFGESIVDISQVIILAFDLIFERRRRVRDVYESRHIIARIRRMRGKERLNVIAEFFPTYGGLLNGLNSATVVQNIMYLNFLPLYFLVGDNMIYSHRQWSIPLLLYTHEVMVVPLEVGSYNDRCGLIAYLEYMVFFPSKAIRFSKLNEAQPKIAREMLKYYANTTVYDGGVNYNVVTTKQLLYETYLASLCGGISDGIVWYLPITHPNKCIVAIEVSDERVPASIRAGRIRLRFPLSARHLKGVVIIQIDEEGEFTVYSEGIVSHRVCKKNLLKYMCDIILLKFSGHVFGNDEMLTKLLNV
43j9d 0.96 0.75 0.78 7.70Download MDELGIPVYKRGFPEHLLRGYEFIIDVGTKIESVGGRHDVTKIPEMNAYDIKQESIRTALWYNPIRNDGFVLPRVLDITLRGYDERRAVVESTRHKSFHTNDQWVQWMMKDSMDAQPLKVGLDDQSRNVAHSLHNCVVKIDSKKADTMSYHVEPIEDASKGCLHTRTMMWNHLVRIETFHAAQEVAYTL-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------KYIYGRVNLFDFVAEPGIKIVHWEYRLNHSTREITYAQGNPCDLYPEDDDVIVTKFDDVAYGQMINEMINGGWNQEQFKMHKILKSEGNVLTIDFEKDAKLTTNEGVTMPEYFNKWIIAPMFNAKLRIKHEEIAQRQSDDPMVKRTLSPITADPIELQRLTLARFYDIRPALRGQALSRQQAQSTYDEEISKRQDYAEILKRRGIVQIPKKPCPTVTAQYTLERYALFIISILQ-QHVVDCDEEAVYEHPKADHELEIFGESIVDISQVIILAFDLIFERRRRVRDVYESRHIIARIRRMRGKERLNVIAEFFPTYGGLLNGLNSATVVQNIMYLNFLPLYFLVGDNMIYSHRQWSIPLLLYTHEVMVVPLEVGSYNDRCGLIAYLEYMVFFPSKAIRFSKLNEAQPKIAREMLKYYANTTVYDGGVNYNVVTTKQLLYETYLASLCGGISDGIVWYLPITHPNKCIVAIEVSDERVPASIRAGRIRLRFPLSARHLKGVVIIQIDEEGEFTVYSEGIVSHRVCKKNLLKYMCDIILLKFSGHVFGNDEMLTKLLNV
53j9dA 0.97 0.75 0.78 6.59Download MDELGIPVYKRGFPEHLLRGYEFIIDVGTKIESVGGRHDVTKIPEMNAYDIKQESIRTALWYNPIRNDGFVLPRVLDITLRGYDERRAVVESTRHKSFHTNDQWVQWMMKDSMDAQPLKVGLDDQSRNVAHSLHNCVVKIDSKKADTMSYHVEPIEDASKGCLHTRTMMWNHLVRIETFHAAQEVAYT-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------LKYIYGRVNLFDFVAEPGIKIVHWEYRLNHSTREITYAQGNPCDLYPEDDDVIVTKFDDVAYGQMINEMINGGWNQEQFKMHKILKSEGNVLTIDFEKDAKLTTNEGVTMPEYFNKWIIAPMFNAKLRIKHEEIAQRQSDDPMVKRTLSPITADPIELQRLTLARFYDIRPALRGQALSRQQAQSTYDEEISKRQDYAEILKRRGIVQIPKKPCPTVTAQYTLERYALFIISILQQHVVRDCDEEAVYEHPKADHELEIFGESIVDISQVIILAFDLIFERRRRVRDVYESRHIIARIRRMRGKERLNVIAEFFPTYGGLLNGLNSATVVQNIMYLNFLPLYFLVGDNMIYSHRQWSIPLLLYTHEVMVVPLEVGSYNDRCGLIAYLEYMVFFPSKAIRFSKLNEAQPKIAREMLKYYANTTVYDGGVNYNVVTTKQLLYETYLASLCGGISDGIVWYLPITHPNKCIVAIEVSDERVPASIRAGRIRLRFPLSARHLKGVVIIQIDEEGEFTVYSEGIVSHRVCKKNLLKYMCDIILLKFSGHVFGNDEMLTKLLNV
63j9d 0.96 0.75 0.7711.64Download MDELGIPVYKRGFPEHLLRGYEFIIDVGTKIESVGGRHDVTKIPEMNAYDIKQESIRTALWYNPIRNDGFVLPRVLDITLRGYDERRAVVESTRHKSFHTNDQWVQWMMKDSMDAQPLKVGLDDQSRNVAHSLHNCVVKIDSKKADTMSYHVEPIEDASKGCLHTRTMMWNHLVRIETFHAAQEVAYTL-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------KYIYGRVNLFDFVAEPGIKIVHWEYRLNHSTREITYAQGNPCDLYPEDDDVIVTKFDDVAYGQMINEMINGGWNQEQFKMHKILKSEGNVLTIDFEKDAKLTTNEGVTMPEYFNKWIIAPMFNAKLRIKHEEIAQRQSDDPMVKRTLSPITADPIELQRLTLARFYDIRPALRGQALSRQQAQSTYDEEISKRQDYAEILKRRGIVQIPKKPCPTVTAQYTLERYALFIISILQ-QHVVRDDEEAVYEHPKADHELEIFGESIVDISQVIILAFDLIFERRRRVRDVYESRHIIARIRRMRGKERLNVIAEFFPTYGGLLNGLNSATVVQNIMYLNFLPLYFLVGDNMIYSHRQWSIPLLLYTHEVMVVPLEVGSYNDRCGLIAYLEYMVFFPSKAIRFSKLNEAQPKIAREMLKYYANTTVYDGGVNYNVVTTKQLLYETYLASLCGGISDGIVWYLPITHPNKCIVAIEVSDERVPASIRAGRIRLRFPLSARHLKGVVIIQIDEEGEFTVYSEGIVSHRVCKKNLLKYMCDIILLKFSGHVFGNDEMLTKLLN-
73j9dA 0.97 0.75 0.7815.13Download MDELGIPVYKRGFPEHLLRGYEFIIDVGTKIESVGGRHDVTKIPEMNAYDIKQESIRTALWYNPIRNDGFVLPRVLDITLRGYDERRAVVESTRHKSFHTNDQWVQWMMKDSMDAQPLKVGLDDQSRNVAHSLHNCVVKIDSKKADTMSYHVEPIEDASKGCLHTRTMMWNHLVRIETFHAAQEVAYTLK-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------YIYGRVNLFDFVAEPGIKIVHWEYRLNHSTREITYAQGNPCDLYPEDDDVIVTKFDDVAYGQMINEMINGGWNQEQFKMHKILKSEGNVLTIDFEKDAKLTTNEGVTMPEYFNKWIIAPMFNAKLRIKHEEIAQRQSDDPMVKRTLSPITADPIELQRLTLARFYDIRPALRGQALSRQQAQSTYDEEISKRQDYAEILKRRGIVQIPKKPCPTVTAQYTLERYALFIISILQQHVVRDCDEEAVYEHPKADHELEIFGESIVDISQVIILAFDLIFERRRRVRDVYESRHIIARIRRMRGKERLNVIAEFFPTYGGLLNGLNSATVVQNIMYLNFLPLYFLVGDNMIYSHRQWSIPLLLYTHEVMVVPLEVGSYNDRCGLIAYLEYMVFFPSKAIRFSKLNEAQPKIAREMLKYYANTTVYDGGVNYNVVTTKQLLYETYLASLCGGISDGIVWYLPITHPNKCIVAIEVSDERVPASIRAGRIRLRFPLSARHLKGVVIIQIDEEGEFTVYSEGIVSHRVCKKNLLKYMCDIILLKFSGHVFGNDEMLTKLLNV
83j9dA 0.97 0.75 0.78 4.13Download MDELGIPVYKRGFPEHLLRGYEFIIDVGTKIESVGGRHDVTKIPEMNAYDIKQESIRTALWYNPIRNDGFVLPRVLDITLRGYDERRAVVESTRHKSFHTNDQWVQWMMKDSMDAQPLKVGLDDQSRNVAHSLHNCVVKIDSKKADTMSYHVEPIEDASKGCLHTRTMMWNHLVRIETFHAAQEVAYTLK-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------YIYGRVNLFDFVAEPGIKIVHWEYRLNHSTREITYAQGNPCDLYPEDDDVIVTKFDDVAYGQMINEMINGGWNQEQFKMHKILKSEGNVLTIDFEKDAKLTTNEGVTMPEYFNKWIIAPMFNAKLRIKHEEIAQRQSDDPMVKRTLSPITADPIELQRLTLARFYDIRPALRGQALSRQQAQSTYDEEISKRQDYAEILKRRGIVQIPKKPCPTVTAQYTLERYALFIISILQQHVVRDCDEEAVYEHPKADHELEIFGESIVDISQVIILAFDLIFERRRRVRDVYESRHIIARIRRMRGKERLNVIAEFFPTYGGLLNGLNSATVVQNIMYLNFLPLYFLVGDNMIYSHRQWSIPLLLYTHEVMVVPLEVGSYNDRCGLIAYLEYMVFFPSKAIRFSKLNEAQPKIAREMLKYYANTTVYDGGVNYNVVTTKQLLYETYLASLCGGISDGIVWYLPITHPNKCIVAIEVSDERVPASIRAGRIRLRFPLSARHLKGVVIIQIDEEGEFTVYSEGIVSHRVCKKNLLKYMCDIILLKFSGHVFGNDEMLTKLLNV
97t3uA 0.09 0.20 0.86 1.67Download SSFLIVSLYAEGSVNGFILVDDRCVVEPAAGDLDNPPKKFRDCL-FKVCPMNRYSAQKQYWKAKQTDVVLLQKLQHAAQMEQKQNDTENKKVHGDVVKYGSVIQLNKRLPALLEKNAMRVTLDATGNRLFHAEQEKFLTCDEYKGKLQVFLRTTLRQSATSATSSNALWEVEVVHLYRFKHLATGNYLAAEENKYCLVAVPHGNDIALDPTYVRLRHLCTNTWIQSTNVPIDIEEERPIRLMLGTCPTDFANDASSMLASAVEKLNEGFISQN--DRRFVIQLLEDLVFFVSDVPNNGQNVLDIMVTKPNRERQKLMREQNIL-------------KQVFGILKAPFRPLVRLEELSDQKNAPYQHMFRL-------CYRVLRH-----------SQEDYRKNQEHIAKQFGMMQSQIGYDILAEDTITALLHNNRKLLEKH-----------------ITKTEVETFVSLVRKNREPRFLDYLSDLCVSNHIELICKCVLDPKNSDILIRTELRPEVWLTWTDKNNEHHEKSVRQLAQEARAGNAHDENVLSYYRYQLKLFARMC-----------------LDRQYLAIDEISQQLGVDLIFLCMADEMLP-------------FDLRASFCHLMLHVVKFARLWTEIPTAITIKDYDSNLNNKFANTMEFVEDYLNNVVSEAVPFANEEKNKLTFEVVSLYSFSELLRLTRTVMETKLKILEILQFILNVRLDYRISYLLSVFKKEFLDRIGEQAEAMF----GSM------LEVDDEGGRMFLRVLIHLTMHDYAPLVSGALQLLFKHFSQRQEAMHTFKQVQLLISAQDVENYKVDRLRTMVEKNYQIVKGILERLNKMCQMRKKMLDLLQIPYDKGDAKMMEILRYTHQFLQKFCA-----------------------------------------------GNPGNQALLHKH
103j9dA 0.94 0.75 0.7817.47Download MDELGIPVYKRGFPEHLLRGYEFIIDVGTKIESVGGRHDVTKIPEMNAYDIKQESIRTALWYNPIRNDGFVLPRVLDITLRGYDERRAVVESTRHKSFHTNDQWVQWMMKDSMDAQPLKVGLDDQSRNVAHSLHNCVVKIDSKKADTMSYHVEPIEDASKGCLHTR------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------TMMWNHLVRIETFHAQEVAYTLKYIYGRVNLFDFVAEPGIKIVHWEYRLNHSTREITYAQGNPCDLYPEDDDVIVTKFDDVAYGQMINEMINGGWNQEQFKMHKILKSEGNVLTIDFEKDAKLTTNEGVTMPEYFNKWIIAPMFNAKLRIKHEEIAQRQSDDPMVKRTLSPITADPIELQRLTLARFYDIRPALRGQALSRQQAQSTYDEEISKRQDYAEILKRRGIVQIPKKPCPTVTAQYTLERYALFIISILQQHVVRDCDEEAVYEHPKADHELEIFGESIVDISQVIILAFDLIFERRRRVRDVYESRHIIARIRRMRGKERLNVIAEFFPTYGGLLNGLNSATVVQNIMYLNFLPLYFLVGDNMIYSHRQWSIPLLLYTHEVMVVPLEVGSYNDRCGLIAYLEYMVFFPSKAIRFSKLNEAQPKIAREMLKYYANTTVYDGGVNYNVVTTKQLLYETYLASLCGGISDGIVWYLPITHPNKCIVAIEVSDERVPASIRAGRIRLRFPLSARHLKGVVIIQIDEEGEFTVYSEGIVSHRVCKKNLLKYMCDIILLKFSGHVFGNDEMLTKLLNV
(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: FFAS-3D   2: SPARKS-X   3: HHSEARCH2   4: HHSEARCH I   5: Neff-PPAS   6: HHSEARCH   7: pGenTHREADER   8: wdPPAS   9: PROSPECT2   10: SP3   

   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=-1.17 (Read more about C-score)
  • Estimated TM-score = 0.57±0.15
  • Estimated RMSD = 11.7±4.5Å

  • Download Model 2
  • C-score = -2.42

  • Download Model 3
  • C-score = -2.30

  • Download Model 4
  • C-score = -2.37

  • Download Model 5
  • C-score = -1.03


  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
13j9dA0.776 0.200.9680.776Download
27oriA0.305 8.470.0320.459Download
34f91B0.293 9.010.0580.465Download
42y3aA0.291 9.060.0630.466Download
53qmzA0.290 9.150.0320.465Download
62vz9B0.287 9.050.0470.457Download
73ffzA0.287 9.300.0330.467Download
83s4wA0.286 9.010.0470.453Download
93vkgA0.282 8.820.0420.439Download
104adyA0.281 8.370.0430.426Download

(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
10.06 1 3j9dA ZN Rep, Mult 162,164,617,851
20.04 1 4f92B SAN Rep, Mult 402
30.04 1 N/A N/A N/A 57,197,542,543,573
40.04 1 N/A N/A N/A 61,63,195,354,355,356,361,365,387,388,389,397,398,832,835
50.04 1 N/A N/A N/A 185,338,339,342,352,399,400,408,410,427,485,495,498,500,501,568,571,757,758,776,780,781


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
10.1012rd0A0.273 9.600.0480.459 2.7.1.153  NA
20.1003ffzA0.287 9.300.0330.467 3.4.24.69  NA
30.0991ofdA0.276 9.350.0410.453 1.4.7.1  465
40.0982vdcF0.244 9.690.0310.411 1.4.1.13  NA
50.0971ea0A0.267 9.300.0380.431 1.4.1.13  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 0.100.2908 9.06 0.06 0.472y3aA GO:0046934 GO:0031526 GO:0016301 GO:0005524 GO:0016310 GO:0001952 GO:0016740 GO:0043560 GO:0030168 GO:0016303 GO:0005942 GO:0046854 GO:0040016 GO:0000166 GO:0006874 GO:0007156 GO:0004428 GO:0005488 GO:0005515 GO:0007165 GO:0016772 GO:0016773 GO:0048015
2 0.100.2709 8.97 0.04 0.432vdcA 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
3 0.100.2732 9.60 0.05 0.462rd0A GO:0043491 GO:0048015 GO:0005515 GO:0046934 GO:0030168 GO:0016310 GO:0006916 GO:0016740 GO:0007596 GO:0005829 GO:0031295 GO:0008286 GO:0048011 GO:0006006 GO:0030027 GO:0000166 GO:0005942 GO:0050900 GO:0016301 GO:0040014 GO:0008543 GO:0005524 GO:0050852 GO:0007173 GO:0006468 GO:0016303 GO:0043066 GO:0043560 GO:0004428 GO:0005488 GO:0007165 GO:0016772 GO:0016773 GO:0046854
4 0.100.2867 9.30 0.03 0.473ffzA GO:0016020 GO:0020002 GO:0008233 GO:0007269 GO:0033644 GO:0044221 GO:0046872 GO:0044156 GO:0044164 GO:0030430 GO:0005886 GO:0016021 GO:0004222 GO:0044231 GO:0009405 GO:0005576 GO:0008237 GO:0030666 GO:0016787 GO:0005829 GO:0006508 GO:0008270 GO:0050827 GO:0051609
5 0.100.2777 9.51 0.04 0.463hhmA GO:0048015 GO:0043491 GO:0043560 GO:0005515 GO:0046934 GO:0030168 GO:0016310 GO:0006916 GO:0016740 GO:0007596 GO:0005829 GO:0031295 GO:0008286 GO:0048011 GO:0006006 GO:0030027 GO:0000166 GO:0005942 GO:0050900 GO:0016301 GO:0040014 GO:0008543 GO:0005524 GO:0050852 GO:0007173 GO:0006468 GO:0016303 GO:0043066 GO:0004428 GO:0005488 GO:0007165 GO:0016772 GO:0016773 GO:0046854
6 0.100.2761 9.35 0.04 0.451ofdA GO:0046872 GO:0051536 GO:0005515 GO:0016041 GO:0051538 GO:0055114 GO:0006537 GO:0006541 GO:0008652 GO:0016491 GO:0003824 GO:0006807 GO:0008152 GO:0015930
7 0.100.2713 8.31 0.05 0.412f3oA GO:0003824 GO:0005737 GO:0008861 GO:0016829 GO:0006006 GO:0008152
8 0.100.2674 9.28 0.03 0.431q16A GO:0009061 GO:0016651 GO:0042128 GO:0030151 GO:0016491 GO:0006810 GO:0005886 GO:0031224 GO:0005515 GO:0051536 GO:0009055 GO:0017004 GO:0042126 GO:0016020 GO:0005488 GO:0055114 GO:0051539 GO:0046872 GO:0008940 GO:0009325 GO:0022900
9 0.090.2788 9.43 0.04 0.461llwA 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
10 0.090.2749 8.54 0.05 0.422cqsA GO:0003824 GO:0005975 GO:0030246


Consensus prediction of GO terms
 
Molecular Function GO:0032559 GO:0035004 GO:0035639 GO:0043167
GO-Score 0.55 0.55 0.55 0.38
Biological Process GO:0046488 GO:0048017 GO:0046834 GO:0007596 GO:0051239 GO:0016477 GO:0007243 GO:0043412 GO:0032869 GO:0050851
GO-Score 0.55 0.55 0.55 0.55 0.38 0.38 0.38 0.38 0.38 0.38
Cellular Component GO:0044445 GO:0032991 GO:0031252 GO:0042995
GO-Score 0.55 0.55 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 S692811_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.