D-I-TASSER results for O43520-D1

Input Sequence in FASTA format

>O43520 (1251 residues)
MSTERDSETTFDEDSQPNDEVVPYSDDETEDELDDQGSAVEPEQNRVNREAEENREPFRK
ECTWQVKANDRKYHEQPHFMNTKFLCIKESKYANNAIKTYKYNAFTFIPMNLFEQFKRAA
NLYFLALLILQAVPQISTLAWYTTLVPLLVVLGVTAIKDLVDDVARHKMDKEINNRTCEV
IKDGRFKVAKWKEIQVGDVIRLKKNDFVPADILLLSSSEPNSLCYVETAELDGETNLKFK
MSLEITDQYLQREDTLATFDGFIECEEPNNRLDKFTGTLFWRNTSFPLDADKILLRGCVI
RNTDFCHGLVIFAGADTKIMKNSGKTRFKRTKIDYLMNYMVYTIFVVLILLSAGLAIGHA
YWEAQVGNSSWYLYDGEDDTPSYRGFLIFWGYIIVLNTMVPISLYVSVEVIRLGQSHFIN
WDLQMYYAEKDTPAKARTTTLNEQLGQIHYIFSDKTGTLTQNIMTFKKCCINGQIYGDHR
DASQHNHNKIEQVDFSWNTYADGKLAFYDHYLIEQIQSGKEPEVRQFFFLLAVCHTVMVD
RTDGQLNYQAASPDEGALVNAARNFGFAFLARTQNTITISELGTERTYNVLAILDFNSDR
KRMSIIVRTPEGNIKLYCKGADTVIYERLHRMNPTKQETQDALDIFANETLRTLCLCYKE
IEEKEFTEWNKKFMAASVASTNRDEALDKVYEEIEKDLILLGATAIEDKLQDGVPETISK
LAKADIKIWVLTGDKKETAENIGFACELLTEDTTICYGEDINSLLHARMENQRNRGGVYA
KFAPPVQESFFPPGGNRALIITGSWLNEILLEKKTKRNKILKLKFPRTEEERRMRTQSKR
RLEAKKEQRQKNFVDLACECSAVICCRVTPKQKAMVVDLVKRYKKAITLAIGDGANDVNM
IKTAHIGVGISGQEGMQAVMSSDYSFAQFRYLQRLLLVHGRWSYIRMCKFLRYFFYKNFA
FTLVHFWYSFFNGYSAQTAYEDWFITLYNVLYTSLPVLLMGLLDQDVSDKLSLRFPGLYI
VGQRDLLFNYKRFFVSLLHGVLTSMILFFIPLGAYLQTVGQDGEAPSDYQSFAVTIASAL
VITVNFQIGLDTSYWTFVNAFSIFGSIALYFGIMFDFHSAGIHVLFPSAFQFTGTASNAL
RQPYIWLTIILAVAVCLLPVVAIRFLSMTIWPSESDKIQKHRKRLKAEEQWQRRQQVFRR
GVSTRRSAYAFSHQRGYADLISSGRSIRKKRSPLDAIVADGTAEYRRTGDS

Predicted Secondary Structure

                  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                 980                1000                1020                1040                1060                1080                1100                1120                1140                1160                1180                1200                1220                1240
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |
Sequence
MSTERDSETTFDEDSQPNDEVVPYSDDETEDELDDQGSAVEPEQNRVNREAEENREPFRKECTWQVKANDRKYHEQPHFMNTKFLCIKESKYANNAIKTYKYNAFTFIPMNLFEQFKRAANLYFLALLILQAVPQISTLAWYTTLVPLLVVLGVTAIKDLVDDVARHKMDKEINNRTCEVIKDGRFKVAKWKEIQVGDVIRLKKNDFVPADILLLSSSEPNSLCYVETAELDGETNLKFKMSLEITDQYLQREDTLATFDGFIECEEPNNRLDKFTGTLFWRNTSFPLDADKILLRGCVIRNTDFCHGLVIFAGADTKIMKNSGKTRFKRTKIDYLMNYMVYTIFVVLILLSAGLAIGHAYWEAQVGNSSWYLYDGEDDTPSYRGFLIFWGYIIVLNTMVPISLYVSVEVIRLGQSHFINWDLQMYYAEKDTPAKARTTTLNEQLGQIHYIFSDKTGTLTQNIMTFKKCCINGQIYGDHRDASQHNHNKIEQVDFSWNTYADGKLAFYDHYLIEQIQSGKEPEVRQFFFLLAVCHTVMVDRTDGQLNYQAASPDEGALVNAARNFGFAFLARTQNTITISELGTERTYNVLAILDFNSDRKRMSIIVRTPEGNIKLYCKGADTVIYERLHRMNPTKQETQDALDIFANETLRTLCLCYKEIEEKEFTEWNKKFMAASVASTNRDEALDKVYEEIEKDLILLGATAIEDKLQDGVPETISKLAKADIKIWVLTGDKKETAENIGFACELLTEDTTICYGEDINSLLHARMENQRNRGGVYAKFAPPVQESFFPPGGNRALIITGSWLNEILLEKKTKRNKILKLKFPRTEEERRMRTQSKRRLEAKKEQRQKNFVDLACECSAVICCRVTPKQKAMVVDLVKRYKKAITLAIGDGANDVNMIKTAHIGVGISGQEGMQAVMSSDYSFAQFRYLQRLLLVHGRWSYIRMCKFLRYFFYKNFAFTLVHFWYSFFNGYSAQTAYEDWFITLYNVLYTSLPVLLMGLLDQDVSDKLSLRFPGLYIVGQRDLLFNYKRFFVSLLHGVLTSMILFFIPLGAYLQTVGQDGEAPSDYQSFAVTIASALVITVNFQIGLDTSYWTFVNAFSIFGSIALYFGIMFDFHSAGIHVLFPSAFQFTGTASNALRQPYIWLTIILAVAVCLLPVVAIRFLSMTIWPSESDKIQKHRKRLKAEEQWQRRQQVFRRGVSTRRSAYAFSHQRGYADLISSGRSIRKKRSPLDAIVADGTAEYRRTGDS
Prediction
CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSCCCCCCCCHHHHHHHHHHCCCCSSSCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCSSSSSCCCSSSSSSSSSCCCCCSSSSCCCCSSCCSSSSSSCCCCCCSSSSSSCCCCCCCCCCCCCCCHHHHHHHCCHHHHHHCCSSSSSCCCCCCCCCCCCSSSSCCCSCCCCCCCSSSSCCSSSCCCSSSSSSSSSCCHCHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCSSCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCSSCCCCCCCCCCCSSSSSSCCCCCCCCCCCSSSSSSSCCSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHCCCCHHHHHHHHHHHHHCCCCCCCCCCCCSSSCCCCHHHHHHHHHHHHCSSSSSCCCCSSSSSSCCCSSSSSSSSSSCCCCCCCSSSSSSSCCCCCSSSSSCCCCHHHHHHHHHCHHHHHHHHHHHHHHHHHCCSSSSSSSSSCCHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHCCCSSSSSSSSSSCCCCCHHHHHHHHHHCCCSSSSSCCCCHHHHHHHHHHHCCCCCCCSSSSSSCCCCCCHHHHHHHHHHHHHHHHHCHHHHHHHHHCCCCSSSSSSCCCHHHHHHHHCCCCHHHHCCCCCCCCCCSSSSSCCHHHHHHHCHHHHHHHHHHHHHCCSSSSSCCCHHHHHHHHHHHHHCCCCSSSSSCCCCCCHHHHHHHCCCCCCCCCCCHHHHHCCCCCCCCHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHCHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHSCCCCCHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHCCHHHHCHHHHHHHCCCCCCCSSSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC
Confidence
987666777756788887666788878775544456677787767766544456444455556411456515326876676477666665369967722434048998999999999999999999999973665567761588888788658888888999999999879862555787115458998655626892999928957754499995268886389982478987440113442778886168778850743899728987644211134427821125765347623378527679999998471005555369999887747999999999999999999999999877531146776401145788971578999999999999742212234589999999999999447874034688751125786200364489985587741267632689998887862145653222222345665434333333333432567765136525788888876341456555566774111589639999999998291886237986899737923567887882588766436899994899699997698478999874310679999999999997148189999996899999899999999875012689999999999861858999999741253336999999998198899965861999999999951378997799983244347999999986655665431567775420357669999485048877532033013320245776653145413125777641889999999987454789871697999999999996189299996598741455444200321257531234421554310015788999985478999999999899999999999999999996677615789999999999999877888875147999899875813302113343246999999999999999999999999860556678996543235789999999999999999996434578888779999999999999997645310576256999999996029999999999999999999999999984987999999999850341121212454322566653111220366642223677752368898654445788877777899

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                 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                 980                1000                1020                1040                1060                1080                1100                1120                1140                1160                1180                1200                1220                1240
                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |
Sequence
MSTERDSETTFDEDSQPNDEVVPYSDDETEDELDDQGSAVEPEQNRVNREAEENREPFRKECTWQVKANDRKYHEQPHFMNTKFLCIKESKYANNAIKTYKYNAFTFIPMNLFEQFKRAANLYFLALLILQAVPQISTLAWYTTLVPLLVVLGVTAIKDLVDDVARHKMDKEINNRTCEVIKDGRFKVAKWKEIQVGDVIRLKKNDFVPADILLLSSSEPNSLCYVETAELDGETNLKFKMSLEITDQYLQREDTLATFDGFIECEEPNNRLDKFTGTLFWRNTSFPLDADKILLRGCVIRNTDFCHGLVIFAGADTKIMKNSGKTRFKRTKIDYLMNYMVYTIFVVLILLSAGLAIGHAYWEAQVGNSSWYLYDGEDDTPSYRGFLIFWGYIIVLNTMVPISLYVSVEVIRLGQSHFINWDLQMYYAEKDTPAKARTTTLNEQLGQIHYIFSDKTGTLTQNIMTFKKCCINGQIYGDHRDASQHNHNKIEQVDFSWNTYADGKLAFYDHYLIEQIQSGKEPEVRQFFFLLAVCHTVMVDRTDGQLNYQAASPDEGALVNAARNFGFAFLARTQNTITISELGTERTYNVLAILDFNSDRKRMSIIVRTPEGNIKLYCKGADTVIYERLHRMNPTKQETQDALDIFANETLRTLCLCYKEIEEKEFTEWNKKFMAASVASTNRDEALDKVYEEIEKDLILLGATAIEDKLQDGVPETISKLAKADIKIWVLTGDKKETAENIGFACELLTEDTTICYGEDINSLLHARMENQRNRGGVYAKFAPPVQESFFPPGGNRALIITGSWLNEILLEKKTKRNKILKLKFPRTEEERRMRTQSKRRLEAKKEQRQKNFVDLACECSAVICCRVTPKQKAMVVDLVKRYKKAITLAIGDGANDVNMIKTAHIGVGISGQEGMQAVMSSDYSFAQFRYLQRLLLVHGRWSYIRMCKFLRYFFYKNFAFTLVHFWYSFFNGYSAQTAYEDWFITLYNVLYTSLPVLLMGLLDQDVSDKLSLRFPGLYIVGQRDLLFNYKRFFVSLLHGVLTSMILFFIPLGAYLQTVGQDGEAPSDYQSFAVTIASALVITVNFQIGLDTSYWTFVNAFSIFGSIALYFGIMFDFHSAGIHVLFPSAFQFTGTASNALRQPYIWLTIILAVAVCLLPVVAIRFLSMTIWPSESDKIQKHRKRLKAEEQWQRRQQVFRRGVSTRRSAYAFSHQRGYADLISSGRSIRKKRSPLDAIVADGTAEYRRTGDS
Prediction
442544453435454444444242445445453455445444664445454564454145634241445544145445424463144146512514044332100101021003202310010000001000000012322100010011000000022023003123214432333031131230111002101100001034401000000000001330101022330414143342432420342024343044230302034134401302010214444231434210101010010100000000014102213134424443131231001000100000001010000000001132221000001232211000000001000011111010000000000110000000101200214244303022140122001010011322121244432011000001000111234434233243231222221110011211101220243231201100010000000120342242422331200000020034000002213431020223323221200210103143200000032464301000011131014203312401210130034003300000000113045620550454144044435434430440143013200000000013303640340042034030200011233341020002001003451300103303421443044224323013212442444134333300000001000000133234444124243343222100112221112013430221011001100000001111410110030024344200000012212120001010000001220210110021113402100100000011003000000000000000000000000000000001011000001101100000000000002303340022103013301301100110021000000100000000000000000123221000000000000000000000000000100000000001112221210111111111100001110000000000001100000000010012211011001000104112001212343546652544353144344332001001344223432344443444444344444664454456667

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                 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                 980                1000                1020                1040                1060                1080                1100                1120                1140                1160                1180                1200                1220                1240                    |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |
							SS	CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSCCCCCCCCHHHHHHHHHHCCCCSSSCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCSSSSSCCCSSSSSSSSSCCCCCSSSSCCCCSSCCSSSSSSCCCCCCSSSSSSCCCCCCCCCCCCCCCHHHHHHHCCHHHHHHCCSSSSSCCCCCCCCCCCCSSSSCCCSCCCCCCCSSSSCCSSSCCCSSSSSSSSSCCHCHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCSSCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCSSCCCCCCCCCCCSSSSSSCCCCCCCCCCCSSSSSSSCCSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHCCCCHHHHHHHHHHHHHCCCCCCCCCCCCSSSCCCCHHHHHHHHHHHHCSSSSSCCCCSSSSSSCCCSSSSSSSSSSCCCCCCCSSSSSSSCCCCCSSSSSCCCCHHHHHHHHHCHHHHHHHHHHHHHHHHHCCSSSSSSSSSCCHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHCCCSSSSSSSSSSCCCCCHHHHHHHHHHCCCSSSSSCCCCHHHHHHHHHHHCCCCCCCSSSSSSCCCCCCHHHHHHHHHHHHHHHHHCHHHHHHHHHCCCCSSSSSSCCCHHHHHHHHCCCCHHHHCCCCCCCCCCSSSSSCCHHHHHHHCHHHHHHHHHHHHHCCSSSSSCCCHHHHHHHHHHHHHCCCCSSSSSCCCCCCHHHHHHHCCCCCCCCCCCHHHHHCCCCCCCCHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCHHHHHHCHHHHHCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHSCCCCCHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCHHHHHHHHHHHHCCHHHHCHHHHHHHCCCCCCCSSSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC
							Seq	MSTERDSETTFDEDSQPNDEVVPYSDDETEDELDDQGSAVEPEQNRVNREAEENREPFRKECTWQVKANDRKYHEQPHFMNTKFLCIKESKYANNAIKTYKYNAFTFIPMNLFEQFKRAANLYFLALLILQAVPQISTLAWYTTLVPLLVVLGVTAIKDLVDDVARHKMDKEINNRTCEVIKDGRFKVAKWKEIQVGDVIRLKKNDFVPADILLLSSSEPNSLCYVETAELDGETNLKFKMSLEITDQYLQREDTLATFDGFIECEEPNNRLDKFTGTLFWRNTSFPLDADKILLRGCVIRNTDFCHGLVIFAGADTKIMKNSGKTRFKRTKIDYLMNYMVYTIFVVLILLSAGLAIGHAYWEAQVGNSSWYLYDGEDDTPSYRGFLIFWGYIIVLNTMVPISLYVSVEVIRLGQSHFINWDLQMYYAEKDTPAKARTTTLNEQLGQIHYIFSDKTGTLTQNIMTFKKCCINGQIYGDHRDASQHNHNKIEQVDFSWNTYADGKLAFYDHYLIEQIQSGKEPEVRQFFFLLAVCHTVMVDRTDGQLNYQAASPDEGALVNAARNFGFAFLARTQNTITISELGTERTYNVLAILDFNSDRKRMSIIVRTPEGNIKLYCKGADTVIYERLHRMNPTKQETQDALDIFANETLRTLCLCYKEIEEKEFTEWNKKFMAASVASTNRDEALDKVYEEIEKDLILLGATAIEDKLQDGVPETISKLAKADIKIWVLTGDKKETAENIGFACELLTEDTTICYGEDINSLLHARMENQRNRGGVYAKFAPPVQESFFPPGGNRALIITGSWLNEILLEKKTKRNKILKLKFPRTEEERRMRTQSKRRLEAKKEQRQKNFVDLACECSAVICCRVTPKQKAMVVDLVKRYKKAITLAIGDGANDVNMIKTAHIGVGISGQEGMQAVMSSDYSFAQFRYLQRLLLVHGRWSYIRMCKFLRYFFYKNFAFTLVHFWYSFFNGYSAQTAYEDWFITLYNVLYTSLPVLLMGLLDQDVSDKLSLRFPGLYIVGQRDLLFNYKRFFVSLLHGVLTSMILFFIPLGAYLQTVGQDGEAPSDYQSFAVTIASALVITVNFQIGLDTSYWTFVNAFSIFGSIALYFGIMFDFHSAGIHVLFPSAFQFTGTASNALRQPYIWLTIILAVAVCLLPVVAIRFLSMTIWPSESDKIQKHRKRLKAEEQWQRRQQVFRRGVSTRRSAYAFSHQRGYADLISSGRSIRKKRSPLDAIVADGTAEYRRTGDS
1	6lcpA	0.29	0.25	7.56	1.17	DEthreader		--------------------------------------------------------------APRKLY-FNLP-P--E---KDEEGHPIQQ-FP-RNK--IRTAKYTPLSFIPKNLWFQFHNIANIFFLFLVLVIFGGVNPGLNSVPLIVIITVTAIKDAIEDYRRTILDIELNNAPVHRLSGARFHKDAWKNLVVGDFVRIYNDDELPADIIILATSDPDGACYVETKNLDGETNLKVRQA-LRCGRTLKHARDCERAQFVIESEPPQPNLYKYNGAIRWKEMSEPIGIDNLLLRGCHLRNTEWALGVVVFTGHDTKIMMNAGITPSKRARIARELNFNVICNFGILLIMCLIAAIANGIAWGKDASLAWFEYGSI-GTPLTGFITFWAAVIVFQNLVPISLYISLEIVRTLQAFFIYSDVGM-YYEKIDQPCIPKSWNISDDVGQIEYIFSDKTGTLTQNVMEFKKATINGQPYGEAYTEIREIAAAKRAILRNPYLHDEDMTFIFVEDLAGEQQQATEHFMLALALCHTV--VAEKQPGDPKMIFKAQSPDEAALVATARDMGFTVLGMSDGGINVNVGKDMHFPVLSIIEFNS--SRKRMSTIVRMPGRILLFCKGADS-VIYSRLKKGEQRRETAQHLEMFAVEGLRTLCIAERLYWRREHDLAATA-LEN---------REEKLEEVADKIELLLGGTAIEDRLQDGVPDTIALLADAGIKLWVLTGDKVETAINIGFSCNLLNNDMDLLRLQVNYQLAEEQLKTNLE-RFNMTG----------------------------------DEELKRARKDHNAPSPTYALVIDGFTLRWVLDSLKQKFLLLCKQCKSVLCCRVSPAQKAAVVSMVKNGLDVMTLSIGDGANDVAMIQEADVGVGIAGEEGR--VMSSDFAIGQFRFLQRLVLVHGRWSYRRLAETISNFFYKNMIWTWSIFWYQCYCNFDIAYIFEYTYILMFNLFTSVPVILMGVLDQDVSDTVSLAVPQLYRRG-IERKEWTQTKFWLYMIDGVYQSVMSFFIPFIFVVTTAAGNGLDVSERTRLGAYIAHPAVITINGYILIN-T-----Y-RWDWLMLLSIVLSDVFIFFWTGVYTATTYSAGFYQAAPQVYELTFWMCLIVTPALCLLPRLVVKCIQKQ-FPYDVDIIREQAN-GDFAAADAA----------------------------------------------------------
2	7ky5A	0.37	0.33	9.77	5.04	SPARKS-K		---------------------------------------------------------NRSDELRTVYYNLPLPEDMLDEDGLP-----LAVYPRNKIRTTKYTPLTFFPKNILFQFHNFANIYFLILLILGAFQIFGVTNPGFASVPLIVIVIITAIKDGIEDSRRTVLDLEVNNTRTHILSECRFAKDYWKNVKVGDIVRVHNNDEIPADMILLSTSDVDGACYVETKNLDGETNLKVRQSLKCSKII-KSSRDITRTKFWVESEGPHANLYSYQGNFKWQIRNEPVNINNLLLRGCTLRNTKWAMGMVIFTGDDTKIMINAGVTPTKKSRISRELNFSVILNFVLLFILCFTAGIVN----GVYYKQ------KPRSRDSTNGFVSFWVAVILYQSLVPISLYISVEIIKTAQAIFIYTDVLLYNAKLDYPCTPKSWNISDDLGQIEYIFSDKTGTLTQNVMEFKKCTINGVSYGRAYTEALAGLDVESEGRSDNTQFCPEDLTFVSKEIVEDLKGSSQKCCEHFLLALALCHSVLVEPDPKKLDIKAQSPDESALVSTARQLGYSFVGSSKSGLIVEIQGVQKEFQVLNVLEFNSSRKRMSCIIKIPGEKALLICKGADSVIYSRLDRTATLLEKTALHLEEYATEGLRTLCLAQRELTWSEYERWVKTYDVAAASVTNREEELDKVTDVIERELILLGGTAIEDRLQDGVPDSIALLAEAGIKLWVLTGDKVETAINIGFSCNVLNNDMELLVVK---ASGEDVEEFGSDPIQVVNNLVTKYLREKFGMSG------------------SEEELKEAKREHGLPQGNFAVIIDGDALKVALNEEMRRKFLLLCKNCKAVLCCRVSPAQKAAVVKLVKKTLDVMTLAIGDGSNDVAMIQSADVGVGIAGEEGRQAVMCSDYAIGQFRYVTRLVLVHGKWCYKRLAEMIPQFFYKNVIFTLSLFWYGIYNNFDGSYLFEYTYLTFYNLAFTSVPVILLAVLDQDVSDTVSMLVPQLYRVGILRKEWNQTKFLWYMLDGVYQSVICFFFPYLAYHKNMVVTENGLDHRYFVGVFVTAIAVTSCNFYVFMEQYRWDWFCGLFICLSLAVFYGWTGIWTS------SSSSNEFYKGAARVFAQPAYWAVLFVGVLFCLLPRFTIDCIRKIFYPKDIEIVREMWLRGDFDLY---PQGYDPTDPSRPRI--------------------------------------------
3	6lcpA	0.36	0.31	9.36	2.11	MapAlign		-------------------------------------------------------------APRKLYFN--------LPPELKDEEGHPIQQFPRNKIRTAKYTPLSFIPKNLWFQFHNIANIFFLFLVILVIFPIFGGVNGLNSVPLIVIITVTAIKDAIEDYRRTILDIELNNAPVHRLSGARFHKDAWKNLVVGDFVRIYNDDELPADIIILATSDPDGACYVETKNLDGETNLKVRQALRCG-RTLKHARDCERAQFVIESEPPQPNLYKYNGAIRWKEMSEPIGIDNLLLRGCHLRNTEWALGVVVFTGHDTKIMMNAGITPSKRARIARELNFNVICNFGILLIMCLIAAIANGIAWGKTDALAWFEYGSIGGTPALTGFITFWAAVIVFQNLVPISLYISLEIVRTLQAFFIYSDVGMYYEKIDQPCIPKSWNISDDVGQIEYIFSDKTGTLTQNVMEFKKATINGQPYGAEIAAAKVRAIRGLRELHDNPYLHDEDMTFIAPDFVEDLAPEQQQATEHFMLALALCHTVVAEKQPPKMIFKAQSPDEAALVATARDMGFTVLGMSDGGINVNVMGKDMHFPVLSIIEFNSSRKRMSTIVRMPDGRILLFCKGADSVIYSRLKEQADMRRETAQHLEMFAVEGLRTLCIAERELSEEEYREWRREHDLAATALENREEKLEEVADKIERDLTLLGGTAIEDRLQDGVPDTIALLADAGIKLWVLTGDKVETAINIGFSCNLLNNDMDLLRLQVNEASTEDDYLQLAEEQLKTN-------------------------LERFNMTGDDEELKRARKDHNAPSPTYALVIDGFTLRWVLSDSLKQKFLLLCKQCKSVLCCRVSPAQKAAVVSMVKNGLDVMTLSIGDGANDVAMIQEADVGVGIAGEEGRQAVMSSDFAIGQFRFLQRLVLVHGRWSYRRLAETISNFFYKNMIWTWSIFWYQCYCNFDIAYIFEYTYILMFNLFFTSVPVILMGVLDQDVSDTVSLAVPQLYRRGIERKEWTQTKFWLYMIDGVYQSVMSFFIPFIFVVPTAAGNGLDVSERTRLGAYIAHPAVITINGYILINT---YRWDWLMLLSIVLSDVFIFFWTGV---YTATTYSAGFYQAAPQVYQELTFWMCLIVTPALCLLPRLVVKCIQKQRFPYDVDIIREQANRGDFAAADAAAV--------------------------------------------------------
4	6lcpA	0.38	0.33	9.81	0.82	CEthreader		-------------------------------------------------------------APRKLYFNLPPELKDEEGH-------PIQQFPRNKIRTAKYTPLSFIPKNLWFQFHNIANIFFLFLVILVIFPIFGGVNPGLNSVPLIVIITVTAIKDAIEDYRRTILDIELNNAPVHRLGKARFHKDAWKNLVVGDFVRIYNDDELPADIIILATSDPDGACYVETKNLDGETNLKVRQALRCGRTLKHAR-DCERAQFVIESEPPQPNLYKYNGAIRWKEMSEPIGIDNLLLRGCHLRNTEWALGVVVFTGHDTKIMMNAGITPSKRARIARELNFNVICNFGILLIMCLIAAIANGIAWGKTDASLWFEYGSIGGTPALTGFITFWAAVIVFQNLVPISLYISLEIVRTLQAFFIYSDVGMYYEKIDQPCIPKSWNISDDVGQIEYIFSDKTGTLTQNVMEFKKATINGQPYGEAYTEAQAGMDRRRGILHDNPYLHDEDMTFIAPDFVEDLAGEQQQATEHFMLALALCHTVVAEKQPGKMIFKAQSPDEAALVATARDMGFTVLGMSDGGINVNVMGKDMHFPVLSIIEFNSSRKRMSTIVRMPDGRILLFCKGADSVIYSRLKEQADMRRETAQHLEMFAVEGLRTLCIAERELSEEEYREWRREHDLAATALENREEKLEEVADKIERDLTLLGGTAIEDRLQDGVPDTIALLADAGIKLWVLTGDKVETAINIGFSCNLLNNDMDLLRLQVNESDASTEDDYLQLAEEQLKTNLERFNMTGDDEELKRA-----------------------RKDHNAPSPTYALVIDGFTLRWVLSDSLKQKFLLLCKQCKSVLCCRVSPAQKAAVVSMVKNGLDVMTLSIGDGANDVAMIQEADVGVGIAGEEGRQAVMSSDFAIGQFRFLQRLVLVHGRWSYRRLAETISNFFYKNMIWTWSIFWYQCYCNFDIAYIFEYTYILMFNLFFTSVPVILMGVLDQDVSDTVSLAVPQLYRRGIERKEWTQTKFWLYMIDGVYQSVMSFFIPFIFVVLTPTGNGLDVSERTRLGAYIAHPAVITINGYILINTYRWDWLMLLSIVLSDVFIFFWTGVYT------ATTYSAGFYQAAPQVYQELTFWMCLIVTPALCLLPRLVVKCIQKQRFPYDVDIIREQANRGDFAAADAAAVA-------------------------------------------------------
5	6rohA	0.39	0.34	10.08	4.28	MUSTER		--------------------------------------------------------------PRVIHINDSLAN-------------SSFGYSDNHISTTKYNFATFLPKFLFQEFSKYANLFFLCTSAIQQVPHVSPTNRYTTIGTLLVVLIVSAMKECIEDIKRANSDKELNNSTAEIFSEDDFVEKRWIDIRVGDIIRVKSEEPIPADTIILSSSEPEGLCYIETANLDGETNLKIKQSRVETAKFIDV-KTLKNMNGKVVSEQPNSSLYTYEGTMTLNDRQIPLSPDQMILRGATLRNTAWIFGLVIFTGHETKLLRNATATPIKRTAVEKIINRQIIALFTVLIVLILISSIGNVIMSTADAKHLSYLYLEGTNK-AGLFFKDFLTFWILFSNLVPISLFVTVELIKYYQAFMIGSDLDLYYEKTDTPTVVRTSSLVEELGQIEYIFS-KTGTLTRNIMEFKSCSIAGHCYIDKIPEDKTATVEDGIEVGYRKFDDL-------KKKLNDPSDEDSPIINDFLTLLATCHTVIPEFQDGSIKYQAASPDEGALVQGGADLGYKFIIRKPNSVTVLLEGEEKEYQLLNICEFNSTRKRMSAIFRFPDGSIKLFCKGADTVILERLDDANQYVEATMRHLEDYASEGLRTLCLAMRDISEGEYEEWNSIYNEAATTLDNRAEKLDEAANLIEKNLILIGATAIEDKLQDGVPETIHTLQEAGIKIWVLTGDRQETAINIGMSCRLLSEDMNLLIIN-EETRDDTERNLLEKINAL-----------------------------------------NEHQLSTHDMNTLALVIDGKSLGFALEPELEDYLLTVAKLCKAVICCRVSPLQKALVVKMVKRKSSSLLLAIGDGANDVSMIQAAHVGVGISGMEGMQAARSADIAVGQFKFLKKLLLVHGSWSYQRISVAILYSFYKNTALYMTQFWYVFANAFSGQSIMESWTMSFYNLFFTVWPPFVIGVFDQFVSSRLLERYPQLYKLGQKGQFFSVYIFWGWIINGFFHSAIVFIGTILIYRYGFALNHGELADHWSWGVTVYTTSVIIVLGKAALVTNQWTKFTLIAIPGSLLFWLIFFPIYASIFPHANISREY--YGVVKHTYGSGVFWLTLIVLPIFALVRDFLWKYYKRMYEPETYHVQQFQNA----------IRKVRQVQRMKKQRGFAFSQAEEG----GQEKIVRM----YDTTQKRGKYGELQDASA
6	6rohA	0.39	0.34	10.12	3.80	HHsearch		--------------------------------------------------------------PRVIHINDSLANS-------------SFGYSDNHISTTKYNFATFLPKFLFQEFSKYANLFFLCTSAIQQVPHVSPTNRYTTIGTLLVVLIVSAMKECIEDIKRANSDKELNNSTAEIFSEDDFVEKRWIDIRVGDIIRVKSEEPIPADTIILSSSEPEGLCYIETANLDGETNLKIKQSRVETAKFI-DVKTLKNMNGKVVSEQPNSSLYTYEGTMTLNDRQIPLSPDQMILRGATLRNTAWIFGLVIFTGHETKLLRNATATPIKRTAVEKIINRQIIALFTVLIVLILISSIGNVIMSTADAKHLSYLYLEG-TNKAGLFFKDFLTFWILFSNLVPISLFVTVELIKYYQAFMIGSDLDLYYEKTDTPTVVRTSSLVEELGQIEYIFS-KTGTLTRNIMEFKSCSIAGHCYIDKIPEDKTATVED----GIEVGYRKFD-DLK-KKL-NDPSDEDSPIINDFLTLLATCHTVIPEFQDGSIKYQAASPDEGALVQGGADLGYKFIIRKPNSVTVLLEGEEKEYQLLNICEFNSTRKRMSAIFRFPDGSIKLFCKGADTVILERLDDEAQYVEATMRHLEDYASEGLRTLCLAMRDISEGEYEEWNSIYNEAATTLDNRAEKLDEAANLIEKNLILIGATAIEDKLQDGVPETIHTLQEAGIKIWVLTGDRQETAINIGMSCRLLSEDMNLLI-INEETRDDTERNLLEKINALNE-----------------------------------------HQLSTHDMNTLALVIDGKSLGFALEPELEDYLLTVAKLCKAVICCRVSPLQKALVVKMVKRKSSSLLLAIGDGANDVSMIQAAHVGVGISGMEGMQAARSADIAVGQFKFLKKLLLVHGSWSYQRISVAILYSFYKNTALYMTQFWYVFANAFSGQSIMESWTMSFYNLFFTVWPPFVIGVFDQFVSSRLLERYPQLYKLGQKGQFFSVYIFWGWIINGFFHSAIVFIGTILIYRYGFALMHGELADHWSWGVTVYTTSVIIVLGKAALVTNQWTKFTLIAIPGSLLFWLIFFPIYASIFPH--ANISREYYGVVKHTYGSGVFWLTLIVLPIFALVRDFLWKYYKRMYEPETYHVQQFQNAIRK----------VRQVQRMKKQRGFAFSQAEEG-------GQEKIVRM-YDTTQKRGKYGELQDASA
7	7ky5A	0.37	0.33	9.66	7.78	FFAS-3D		----------------------------------------------------------RSDELRTVYYNL-----PLPEDMLDEDGLPLAVYPRNKIRTTKYTPLTFFPKNILFQFHNFANIYFLILLILGAFQIFGVTNPGFASVPLIVIVIITAIKDGIEDSRRTVLDLEVNNTRTHILPECRFAKDYWKNVKVGDIVRVHNNDEIPADMILLSTSDVDGACYVETKNLDGETNLKVRQSLKCSKI-IKSSRDITRTKFWVESEGPHANLYSYQGNFKWNIRNEPVNINNLLLRGCTLRNTKWAMGMVIFTGDDTKIMINAGVTPTKKSRISRELNFSVILNFVLLFILCFTAGIVNGV----------YYKQKPRSRDSTNGFVSFWVAVILYQSLVPISLYISVEIIKTAQAIFIYTDVLLYNAKLDYPCTPKSWNISDDLGQIEYIFSDKTGTLTQNVMEFKKCTINGVSYGRAYTEALAGLRVDVESESDNTQFCPEDLTFVSKEIVEDLKGSSGKCCEHFLLALALCHSVLVEPNKDDLDIKAQSPDESALVSTARQLGYSFVGSSKSGLIVEIQGVQKEFQVLNVLEFNSSRKRMSCIIKIPGEPALLICKGADSVIYSRLDRDATLLEKTALHLEEYATEGLRTLCLAQRELTWSEYERWVKTYDVAAASVTNREEELDKVTDVIERELILLGGTAIEDRLQDGVPDSIALLAEAGIKLWVLTGDKVETAINIGFSCNVLNNDMELLVVKASGEDVPIQVVNNLVTKYLREKFGMSGS--------------------------EEELKEAKREHGLPQGNFAVIIDGDALKVALNGEEMRRKFLLLCKNCKAVLCCRVSPAQKAAVVKLVKKTLDVMTLAIGDGSNDVAMIQSADVGVGIAGEEGRQAVMCSDYAIGQFRYVTRLVLVHGKWCYKRLAEMIPQFFYKNVIFTLSLFWYGIYNNFDGSYLFEYTYLTFYNLAFTSVPVILLAVLDQDVSDTVSMLVPQLYRVGILRKEWNQTKFLWYMLDGVYQSVICFFFPYLAYHKNMVVNGLGLDHRYFVGVFVTAIAVTSCNFYVFMEQYRWDWFCGLFICLSLAVFYGWTGIWT------SSSSSNEFYKGAARVFAQPAYWAVLFVGVLFCLLPRFTIDCIRKIFYPKDIEIVREMWLRGDFDL--YPQGYDPTDPSRPR----------------------------------------------
8	6lcpA	0.29	0.23	7.14	1.48	EigenThreader		------------------------------------------------------------APRKLYFNLPPELKDEEGHPIQQFPRNKIRTAKYT-----PLS-------FIPKNLWFQFNIFFLFLVILVIFPIFGGNSVPLIVIITVTAIKDAIEDYRRTILDIELNN------APVHRLSGKKDAWKN--LVVGDFVRIYNDDELPADIIILATSDPDGACYVETKNLDGETNLKVRQAE--------RA------QFVIESEPPQPNLYKYNGAIRWKEMSEPIGIDNLLLRGCHLRNTEWALGVVVFTGH--------DTKIMMNAGIRELNFNVICNFGILLIMCLIAAIANGIAWGKTDASLAWFEYGSIGGTPALTGFITFWAAVIVFQNLVPISLYISLEIVRTLQAFFIYSDVGMYYEKIDQPCIPKSWNISDDVGQIEYIFSD-----KTGTLEFKKATINGQPYGEAYTEAQAGMDRRRGINHDNPYLHDEDMTFIAPDFVEDLAGKNGPEQQQATEHFMLALALCEKQPPPKMIFKAQSPDEAALVATARDMGFTVLGMSDGGINVNVMGKDMHFPVLSIIEFNSSRKRMSTIVRMPDGRILLFCKGADSVIY-----SRLKKRRETAQHLEMFAVEGLRTLCIAERESEEEYREWRREHDLAATALENREEKLEEVADKIERDLTLLGGTAIEQ---DGVPDTIALLADAGIKLWVLTGDKVETAINIGFSC-NLLNNDMDLLRLQASTEDDYLQLAEEQLKTNLERFNMTGDDEELKRARK---------------------------DHNAPSPTYALVIDGFTLRWVLSDSLKQKFLLLCKQCKSVLCCRVSPAQKAAVVSMVKNGLDVMTLSIGDGANDVAMIQEADVGVGIAAVM-------SSDFAIGQFRFLQRLVLVHGRWSYRRLAETISNFFYKNMIWTWSIFWYQCYCNFDI------------AILMFVPVILMGVLDQDVSDTVSLAVPQLYRRGIERKEWTQTKFWLYMIDGVYQSVMSFFIPFIFVVLTPTAAGNGLDVSLGAYIAHPAVITINGYILINT--YRWDWLMLLSIVLSDVFIFFWTGVYTATT---YSAGFYQAAPQVYQ---ELTFWMCLIVTPALCLLPRLVVKCIQKQRFPYDVDIIREQANRGDFAAADAAAVA-------------------------------------------------------
9	6rohA	0.39	0.34	9.99	6.14	CNFpred		---------------------------------------------------------------RVIHINDSLANS-------------SFGYSDNHISTTKYNFATFLPKFLFQEFSKYANLFFLCTSAIQQVPHVSPTNRYTTIGTLLVVLIVSAMKECIEDIKRANSDKELNNSTAEIFSEDDFVEKRWIDIRVGDIIRVKSEEPIPADTIILSSSEPEGLCYIETANLDGETNLKIKQSRVETAKFIDV-KTLKNMNGKVVSEQPNSSLYTYEGTMTLNDRQIPLSPDQMILRGATLRNTAWIFGLVIFTGHETKLLRNATATPIKRTAVEKIINRQIIALFTVLIVLILISSIGNVIMSTADAKHLSYLYLEG-TNKAGLFFKDFLTFWILFSNLVPISLFVTVELIKYYQAFMIGSDLDLYYEKTDTPTVVRTSSLVEELGQIEYIFSMKTGTLTRNIMEFKSCSIAGHCYIDKIPEDKTATV-EDGIEVGYRK---------FDDLKKKLN-EDSPIINDFLTLLATCHTVIPEFQDGSIKYQAASPDEGALVQGGADLGYKFIIRKPNSVTVLLEGEEKEYQLLNICEFNSTRKRMSAIFRFPDGSIKLFCKGADTVILERLDDANQYVEATMRHLEDYASEGLRTLCLAMRDISEGEYEEWNSIYNEAATTLDNRAEKLDEAANLIEKNLILIGATAIEDKLQDGVPETIHTLQEAGIKIWVLTGDRQETAINIGMSCRLLSEDMNLLIINE-ETRDDTERNLLEKINALNEHQLSTHDM-----------------------------------------NTLALVIDGKSLGFALEPELEDYLLTVAKLCKAVICCRVSPLQKALVVKMVKRKSSSLLLAIGDGANDVSMIQAAHVGVGISGMEGMQAARSADIAVGQFKFLKKLLLVHGSWSYQRISVAILYSFYKNTALYMTQFWYVFANAFSGQSIMESWTMSFYNLFFTVWPPFVIGVFDQFVSSRLLERYPQLYKLGQKGQFFSVYIFWGWIINGFFHSAIVFIGTILIYRYGFALNMGELADHWSWGVTVYTTSVIIVLGKAALVTNQWTKFTLIAIPGSLLFWLIFFPIYASIFPHA--NISREYYGVVKHTYGSGVFWLTLIVLPIFALVRDFLWKYYKRMYEPET-----------HVQQFQNAIRKVRQVQRMKKQRGFAFSQAE------------------------------------
10	7ky5A	0.27	0.23	7.10	1.17	DEthreader		-------------------------------------------------------------RSDELRT-VYYNLPLPEDMLDEDGLPLA-V-YPR-NK--IRTTKYTPLTFFPKNILFQFHNFANIYFLILLLGQFGVTNPGFASVPLIVIVIITAIKDGIEDSRRTVLDLEVNNTRTHILNVARFAKDYWKNVKVGDIVRVHNNDEIPADMILLSTSDVDGACYVETKNLDGETNLKVRQSLKCSKIIKSSRDITRTKFWVESEGPHANLY-SYQGNFKWQIRNEPVNINNLLLRGCTLRNTKWAMGMVIFTGDDTKIMINAGVTPTKKSRISRELNFSVILNFVLLFILCFTAGIVNGVYYKQKPRS--------RD-NGFVSFWVAVILYQSLVPISLYISVEIIKTAQAIF-IY-TDVLLYNAKLD-YPCTPKSWNISDDLGQIEYIFSDKTGTLTQNVMEFKKCTINGVSYGRAYEKEEIAKDRETMIELRNQFCPEDLTFVKIVEDLKGQQKCCEHFLLALALCHSVL-VEPNKDDPKKLDIKAQSPDESALVSTARQLGYSFVGSSKSGLIVEIGVQKEFQVLNVLEFNS--SRKRMSCIIKIPPKALLICKG-ADSVIYSRLDRTNLLEKTALHLEEYATEGLRTLCLAQRYWVKTYDVAAASV--T----------NREEELDKVTDIELLLGGTAIEDRLQDGVPDSIALLAEAGIKLWVLTGDKVETAINIGFSCNVLNNDMELLVVKASPQVVNNLVTKYLREKFGMSG---------------------------------SEEELKEAKREHGLPQGNFAVIIDGDALKVALGEMRRKFLLLCKNCKAVLCCRVSPAQKAAVVKLVKKTLDVMTLAIGDGSNDVAMIQSADVGVGIAGEEGRQ-VMCSDYAIGQFRYVTRLVLVHGKWCYKRLAEMIPQFFYKNVIFTLSLFWYGIYNFDGSYLFEYTYLTFYNLAFTSVPVILLAVLDQDVSDTVSMLVPQLYRVG-ILRKEWNQTKFLWYMLDGVYQSVICFFFPYLAYHMVVTENGLGLDHRYFVGVFVTAIAVTSCNFYVFME-Q-----Y-RWDWFCGLFICLSLAVFYGWTG-IWTSSSSSNEFYKGARVFAQAYWAVLFVGVLFCLLPRFTIDCIRKIFYPKDIEIVREMWRGDFLYPYDPTDPS-------------------------------------------------------


(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	0.5883


(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	6lcpA	0.87	1.04	0.375	0.878
2	7ky5A	0.85	2.44	0.372	0.879
3	6rohA	0.81	3.21	0.383	0.855
4	6lknA	0.76	3.61	0.313	0.826
5	6k7gA	0.68	4.62	0.397	0.771
6	3kdpA	0.57	5.66	0.122	0.676
7	3ixzA	0.57	5.49	0.122	0.667
8	6xmpA	0.56	6.21	0.103	0.690
9	3ba6A	0.54	6.52	0.110	0.677
10	6a69A	0.51	6.44	0.143	0.643



(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:0043492	1.00	ATPase activity, coupled to movement of substances
GO:0022892	1.00	substrate-specific transporter activity
GO:0004012	0.82	phospholipid-translocating ATPase 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:0009987	0.92	cellular process
GO:0016043	0.73	cellular component organization
GO:0006996	0.65	organelle organization
GO:0044699	0.61	single-organism process
GO:0065007	0.51	biological regulation






(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:0044424	0.90	intracellular part
GO:0016020	0.88	membrane
GO:0005886	0.82	plasma membrane
GO:0044444	0.75	cytoplasmic part
GO:0043226	0.65	organelle
GO:0043229	0.63	intracellular organelle
GO:0043227	0.63	membrane-bounded organelle
GO:0043231	0.62	intracellular membrane-bounded organelle






(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	0.413	3b8cA	0.499	6.31	0.099	0.620	3.6.3.6	454
2	0.118	3b8eA	0.574	5.77	0.128	0.683	3.6.3.9	454
3	0.067	3ixzA	0.567	5.49	0.122	0.667	3.6.3.10	454
4	0.067	3b8cB	0.499	6.27	0.099	0.619	3.6.3.6	NA
5	0.060	2cseW	0.244	9.63	0.045	0.377	3.6.4.13	NA



(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:

No Binding sites was predicted

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.