D-I-TASSER results for Q70EK8-D1

Input Sequence in FASTA format

>Q70EK8 (1073 residues)
MAWVKFLRKPGGNLGKVYQPGSMLSLAPTKGLLNEPGQNSCFLNSAVQVLWQLDIFRRSL
RVLTGHVCQGDACIFCALKTIFAQFQHSREKALPSDNIRHALAESFKDEQRFQLGLMDDA
AECFENMLERIHFHIVPSRDADMCTSKSCITHQKFAMTLYEQCVCRSCGASSDPLPFTEF
VRYISTTALCNEVERMLERHERFKPEMFAELLQAANTTDDYRKCPSNCGQKIKIRRVLMN
CPEIVTIGLVWDSEHSDLTEAVVRNLATHLYLPGLFYRVTDENAKNSELNLVGMICYTSQ
HYCAFAFHTKSSKWVFFDDANVKEIGTRWKDVVSKCIRCHFQPLLLFYANPDGTAVSTED
ALRQVISWSHYKSVAENMGCEKPVIHKSDNLKENGFGDQAKQRENQKFPTDNISSSNRSH
SHTGVGKGPAKLSHIDQREKIKDISRECALKAIEQKNLLSSQRKDLEKGQRKDLGRHRDL
VDEDLSHFQSGSPPAPNGFKQHGNPHLYHSQGKGSYKHDRVVPQSRASAQIISSSKSQIL
APGEKITGKVKSDNGTGYDTDSSQDSRDRGNSCDSSSKSRNRGWKPMRETLNVDSIFSES
EKRQHSPRHKPNISNKPKSSKDPSFSNWPKENPKQKGLMTIYEDEMKQEIGSRSSLESNG
KGAEKNKGLVEGKVHGDNWQMQRTESGYESSDHISNGSTNLDSPVIDGNGTVMDISGVKE
TVCFSDQITTSNLNKERGDCTSLQSQHHLEGFRKELRNLEAGYKSHEFHPESHLQIKNHL
IKRSHVHEDNGKLFPSSSLQIPKDHNAREHIHQSDEQKLEKPNECKFSEWLNIENSERTG
LPFHVDNSASGKRVNSNEPSSLWSSHLRTVGLKPETAPLIQQQNIMDQCYFENSLSTECI
IRSASRSDGCQMPKLFCQNLPPPLPPKKYAITSVPQSEKSESTPDVKLTEVFKATSHLPK
HSLSTASEPSLEVSTHMNDERHKETFQVRECFGNTPNCPSSSSTNDFQANSGAIDAFCQP
ELDSISTCPNETVSLTTYFSVDSCMTDTYRLKYHQRPKLSFPESSGFCNNSLS

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
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Sequence
MAWVKFLRKPGGNLGKVYQPGSMLSLAPTKGLLNEPGQNSCFLNSAVQVLWQLDIFRRSLRVLTGHVCQGDACIFCALKTIFAQFQHSREKALPSDNIRHALAESFKDEQRFQLGLMDDAAECFENMLERIHFHIVPSRDADMCTSKSCITHQKFAMTLYEQCVCRSCGASSDPLPFTEFVRYISTTALCNEVERMLERHERFKPEMFAELLQAANTTDDYRKCPSNCGQKIKIRRVLMNCPEIVTIGLVWDSEHSDLTEAVVRNLATHLYLPGLFYRVTDENAKNSELNLVGMICYTSQHYCAFAFHTKSSKWVFFDDANVKEIGTRWKDVVSKCIRCHFQPLLLFYANPDGTAVSTEDALRQVISWSHYKSVAENMGCEKPVIHKSDNLKENGFGDQAKQRENQKFPTDNISSSNRSHSHTGVGKGPAKLSHIDQREKIKDISRECALKAIEQKNLLSSQRKDLEKGQRKDLGRHRDLVDEDLSHFQSGSPPAPNGFKQHGNPHLYHSQGKGSYKHDRVVPQSRASAQIISSSKSQILAPGEKITGKVKSDNGTGYDTDSSQDSRDRGNSCDSSSKSRNRGWKPMRETLNVDSIFSESEKRQHSPRHKPNISNKPKSSKDPSFSNWPKENPKQKGLMTIYEDEMKQEIGSRSSLESNGKGAEKNKGLVEGKVHGDNWQMQRTESGYESSDHISNGSTNLDSPVIDGNGTVMDISGVKETVCFSDQITTSNLNKERGDCTSLQSQHHLEGFRKELRNLEAGYKSHEFHPESHLQIKNHLIKRSHVHEDNGKLFPSSSLQIPKDHNAREHIHQSDEQKLEKPNECKFSEWLNIENSERTGLPFHVDNSASGKRVNSNEPSSLWSSHLRTVGLKPETAPLIQQQNIMDQCYFENSLSTECIIRSASRSDGCQMPKLFCQNLPPPLPPKKYAITSVPQSEKSESTPDVKLTEVFKATSHLPKHSLSTASEPSLEVSTHMNDERHKETFQVRECFGNTPNCPSSSSTNDFQANSGAIDAFCQPELDSISTCPNETVSLTTYFSVDSCMTDTYRLKYHQRPKLSFPESSGFCNNSLS
Prediction
CCCHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHCCHHHHHHHHHCCCCCCCCCCCHHHHHHHHHHHHHHCCCCCSCHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCHHHSSSSSSSSSSSSSCCCCCSSCCCCCCCCCSCCCHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCSSSSSSSSSCCCCSSSSSSSSCCCCCCCCSSSSSCCCCSSSCCCCCCCCCCCCCCCCSSSSSSSSSCCCCCSSSSSSSCCCCSSSSSSCCCCSSSCCCHHHHHHHHCCCCCCSSSSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHCCCCCCCCCCCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSCCCCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCC
Confidence
96311113788887764378643345678897357988702999999999817899999984664334578608999999999999689984184999999999865421344212467999999999999998623444566655553322022269998999868897635776420111144134567887520023431011388987543147641003223796455678862499879999985168787520235317843545744467778777884699998998169827999981799908998375113536746888877405677638999963789887644332234564345665566776777666766666676665544577776677777665677655677778765778874332222012122333344666666665543323332335655556665566889988778877778865555556777667776666666556778887776788766677778888888778865435667778888777777788763011134433352123313755567667887656775457775446521244555420111367887543357877666888533335676422313667786765556787677876555777655666776777887545677777542234661011134445766555554444432364234210144445655554101137788876543343244136750221134575402331476665555655345886544211257887656554432357754444445677554566788888876655456677888887655789999985423345578766688888866652226777775432366678776667666655556666665578999888888887755334566556677777888889988520123331244455210000145774245788766678889

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
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Sequence
MAWVKFLRKPGGNLGKVYQPGSMLSLAPTKGLLNEPGQNSCFLNSAVQVLWQLDIFRRSLRVLTGHVCQGDACIFCALKTIFAQFQHSREKALPSDNIRHALAESFKDEQRFQLGLMDDAAECFENMLERIHFHIVPSRDADMCTSKSCITHQKFAMTLYEQCVCRSCGASSDPLPFTEFVRYISTTALCNEVERMLERHERFKPEMFAELLQAANTTDDYRKCPSNCGQKIKIRRVLMNCPEIVTIGLVWDSEHSDLTEAVVRNLATHLYLPGLFYRVTDENAKNSELNLVGMICYTSQHYCAFAFHTKSSKWVFFDDANVKEIGTRWKDVVSKCIRCHFQPLLLFYANPDGTAVSTEDALRQVISWSHYKSVAENMGCEKPVIHKSDNLKENGFGDQAKQRENQKFPTDNISSSNRSHSHTGVGKGPAKLSHIDQREKIKDISRECALKAIEQKNLLSSQRKDLEKGQRKDLGRHRDLVDEDLSHFQSGSPPAPNGFKQHGNPHLYHSQGKGSYKHDRVVPQSRASAQIISSSKSQILAPGEKITGKVKSDNGTGYDTDSSQDSRDRGNSCDSSSKSRNRGWKPMRETLNVDSIFSESEKRQHSPRHKPNISNKPKSSKDPSFSNWPKENPKQKGLMTIYEDEMKQEIGSRSSLESNGKGAEKNKGLVEGKVHGDNWQMQRTESGYESSDHISNGSTNLDSPVIDGNGTVMDISGVKETVCFSDQITTSNLNKERGDCTSLQSQHHLEGFRKELRNLEAGYKSHEFHPESHLQIKNHLIKRSHVHEDNGKLFPSSSLQIPKDHNAREHIHQSDEQKLEKPNECKFSEWLNIENSERTGLPFHVDNSASGKRVNSNEPSSLWSSHLRTVGLKPETAPLIQQQNIMDQCYFENSLSTECIIRSASRSDGCQMPKLFCQNLPPPLPPKKYAITSVPQSEKSESTPDVKLTEVFKATSHLPKHSLSTASEPSLEVSTHMNDERHKETFQVRECFGNTPNCPSSSSTNDFQANSGAIDAFCQPELDSISTCPNETVSLTTYFSVDSCMTDTYRLKYHQRPKLSFPESSGFCNNSLS
Prediction
51034113435443443242432342232310211332000000000000000000020014243543454200010011001101326432030430130002013313223322120000000100210133034344344244320000000000000101033042314422112101101212112203312223310221002100221324330210132243432022102300200000000134444434421340423030342124143664430201000000001000000012464320010001102213441430143146331100000011344443435434442443442444354442645325446514444244423444444354643434444444454444244254554454345345535544456554454545545554545434546344654454555444455434545544444454554444544454445444445445553444644344424554243453525453454556454544445354443454444443246455454445445644544445455644444554456533444355434444445543546444354444344444435532243245324245444445444545345446434445444644424544444544454443434434433543446355264554465244544454644535466244565533444434315534455444356554354565442453144444642324232434223434444662544444444344445444245455346444455444644444423466426344341643423242442144324435546444445234314444434343234444444434432456446441424332534353444244651444354344424244424442253300010101011000210102111101000134422354638

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                    |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |                   |
							SS	CCCHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHCCHHHHHHHHHCCCCCCCCCCCHHHHHHHHHHHHHHCCCCCSCHHHHHHHHHHHHHHHCCCCCCHHHHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCHHHSSSSSSSSSSSSSCCCCCSSCCCCCCCCCSCCCHHHHHHHHHHHCHHHHHHHHHHHHHHHHHHCCCCCCCCCCCCCCCSSSSSSSSSCCCCSSSSSSSSCCCCCCCCSSSSSCCCCSSSCCCCCCCCCCCCCCCCSSSSSSSSSCCCCCSSSSSSSCCCCSSSSSSCCCCSSSCCCHHHHHHHHCCCCCCSSSSSSSCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCHHHHCCCCCCCCCCCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCSSSSSCCCCCCCCCHHHCCCCCCCCCCCCCCCCCCCCCC
							Seq	MAWVKFLRKPGGNLGKVYQPGSMLSLAPTKGLLNEPGQNSCFLNSAVQVLWQLDIFRRSLRVLTGHVCQGDACIFCALKTIFAQFQHSREKALPSDNIRHALAESFKDEQRFQLGLMDDAAECFENMLERIHFHIVPSRDADMCTSKSCITHQKFAMTLYEQCVCRSCGASSDPLPFTEFVRYISTTALCNEVERMLERHERFKPEMFAELLQAANTTDDYRKCPSNCGQKIKIRRVLMNCPEIVTIGLVWDSEHSDLTEAVVRNLATHLYLPGLFYRVTDENAKNSELNLVGMICYTSQHYCAFAFHTKSSKWVFFDDANVKEIGTRWKDVVSKCIRCHFQPLLLFYANPDGTAVSTEDALRQVISWSHYKSVAENMGCEKPVIHKSDNLKENGFGDQAKQRENQKFPTDNISSSNRSHSHTGVGKGPAKLSHIDQREKIKDISRECALKAIEQKNLLSSQRKDLEKGQRKDLGRHRDLVDEDLSHFQSGSPPAPNGFKQHGNPHLYHSQGKGSYKHDRVVPQSRASAQIISSSKSQILAPGEKITGKVKSDNGTGYDTDSSQDSRDRGNSCDSSSKSRNRGWKPMRETLNVDSIFSESEKRQHSPRHKPNISNKPKSSKDPSFSNWPKENPKQKGLMTIYEDEMKQEIGSRSSLESNGKGAEKNKGLVEGKVHGDNWQMQRTESGYESSDHISNGSTNLDSPVIDGNGTVMDISGVKETVCFSDQITTSNLNKERGDCTSLQSQHHLEGFRKELRNLEAGYKSHEFHPESHLQIKNHLIKRSHVHEDNGKLFPSSSLQIPKDHNAREHIHQSDEQKLEKPNECKFSEWLNIENSERTGLPFHVDNSASGKRVNSNEPSSLWSSHLRTVGLKPETAPLIQQQNIMDQCYFENSLSTECIIRSASRSDGCQMPKLFCQNLPPPLPPKKYAITSVPQSEKSESTPDVKLTEVFKATSHLPKHSLSTASEPSLEVSTHMNDERHKETFQVRECFGNTPNCPSSSSTNDFQANSGAIDAFCQPELDSISTCPNETVSLTTYFSVDSCMTDTYRLKYHQRPKLSFPESSGFCNNSLS
1	4g1eA	0.07	0.06	2.50	0.56	CEthreader		-----FNLDVDSPAEYSGPEGSYFGFAVD-FFVPSASSRMFLLVGAPKANTTQPGIVEGGQVLKCDWSSTRRCQPIEFDATGNRDYAKDDPLEFKSHQWFGASVRSKQDKILACAPLYHWRTEMKQEREPVGTCFLQDGTKTVEYAPCRSQDIDADGQGFCQGGFSIDFTKADRVLLGGPGSFYWQGQLISDQVAEIVSKYDPNVYSIKYNNQLATRTAQAIFDDSYLGYSVAVGDFNGDGIDDFVSGVRAARTLGMVYIYDGKNMSSLYNFMAAYFGFSVAATDDYADVFIGAPLFLQEVGQVSVSGFEVFARFGSAIAPLGDLQDGFNDIAPYGGEDKKGIVYIFNGRSTGLNAVPSQILEGQWAARSMPPSFGYSMKGATDIDKNGYPDLIVGAFGVDRAILYRARNAGLEVYPSILNQDNKTCSLPGTALKVSCFNVRFCLKADGKGVLPRKLNFQVELLLDKLKQKGAIRRALFLYSRSPSHSKNMTISRGGLMQCEELIAYLRDESEFRDKLTPITIFMEYRLDYRTAADTTGLQPILNQFTPANISRQAHILLDCGEDNVCKPKLEVSVDSDQKKIYIDDNPLTLIVKAQNQGEGAYEAELIVSIPLQADFIGVVRNNEALARLSCAFKTE----NQTRQVVCDLGNPMKAGTQLLAGLRFSVHQQSEMDTSVKFDLQIQSSNLFDKVSPVVSHKVDLAVLAAVEIRGVSSPDHVFLPIPNWEHKENPETEEDVGPVV----------QHIYELRNNGPSSFSKAMLHLQWPYKYNNNTLLYILHYDIDGPMNCTSDMEINPLRIKISSLTEKNDTVAGDIHTLGCGVAQCLKIVCQVGRLDRGKSAILYVKSLLWTETFMNKENQNHSYSLKSSASFNVIEFPYKNLPIEDITNSTLVTTNVTWGIQPAPCEKELQALEKENAQLEWELQALEKEL---------------------------------------------------------------------------------------------------------------------------------
2	2pffB	0.06	0.06	2.59	1.05	EigenThreader		LLVPTASFFIASQLQEQFNKIL---PEPTEGFAADDEPTTPAELVGKFLGYV-------SSLVEPSKVGQFDQVLNLCLTEFE----NCYLEGNDIHALAAKLLQENDT-----TLVKTKELIKNYITARIMAIFGGQGNTDDYQTYHVLVGDLIKFSAETLSELIRTTLDAYLLSIPISCPLIGVIQLAHYVVTAKLLGFTSFFVSVRKAITVLFFIGVRCYEAYPNTGKQVEISLVNGAKNL---VVSGPPQSLYGLNLTLRKAKAPSGLVPASDLINKDLVKNNVSFNP----VYDTFDGSDLRVLSGSISERIVDCIIRLPVKWETTTQ---FKATHILDFGPGGASGLGVLTHRNKDGTGVRVIVAGTLDINPDDDYGFKQGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG--------GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG-GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG------GGGGGGGGGGGGGGGGGG
3	6um1A	0.06	0.02	0.95	0.33	DEthreader		----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------VAQCGPSSAVCMHTPEFEWRTAEVPCNITNRAPLSYVKEAGQPDFCD----LTAKSFEIEWVTYDGMIQTFLCYACPEAKSEGGPGG-------------NPLNNGYVFLFNMPACGTLDGKCRLVGLEKYTGLPSHNGRADAFIIRFVCKLHFEFE--------------------------LSKAKPWTTFYLSLPY-----HTTGSPTFQLYVFLWRTVEACPVVRAVPLYNLIPLGL--------VCGELKSKVISSCQEGFQKVDCYQRSTTIFFYCDRSTQAP--V----------------EWR-T-----Q-Y-------PYDLT-----SSLSRYSDNW-----------------SPQAGSDPCCLLGGPKPVNLG-VR-SPQWSTLLK-----------------TCSESHVAAACAVKSNNDQVLQSFVCRPEVGPTNTPLPACPAGTARVFIPKLLSDFVFEWE---A-MVNG---------TNPANGRSFSLGYKSSNQTR-Y------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
4	5mpc8	0.17	0.05	1.57	0.59	FFAS-3D		------------------------AQLPV-GFKNM--GNTCYLNATLQALYRVNDLRDMILNYNPSQGVSNKQIVIEMKRCFENLQNKSFKSVLPIVLLNTLRKCYERDSQGGFYKQQDAEELFTQLFHSMSIVFGDKFSEDSGTTNFMRNGLLEGLNEKIEKRSDLTGANSIYLPKFLTVQYMLTPEYAAEKVKVRDELRKVEKEKNEKEREIKRRKFDPSSSENVMTPREQYETQV--------------ALNESEKDQWLEEYKKHFP------PNLEKGENPSCVYLIGVITHQGAHYQAFIRELDENKWYKFNDDKVSVV--EKEKIESLAGGGESDALILMYKGFG-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
5	2pffB	0.07	0.06	2.54	1.58	MapAlign		KFLGYVSSLVEPSKVGQFDQVLNLCLTEFEKLLQENDTTLVKTLVGDLIKFSAETLSELIRTTLDAEISCPLIGVIQLAHYVVTRSYLKGATGHSQGLVTAVAIAETDSWESFFVSVRKAITVLFFIGVRCEISLVNGAKNLVVSGPPQSLYGLNLGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG----GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG----GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG---GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG--------------GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG-------GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG-------GGGGGGGGGGGGGGGGQGSQEQGMGMDLYKTSKAAQDVWNRADNHFKDTYG-------------------------------------------------------------FSILDIVINNPVNLTIHFGGEKGKRIRENY-------------SAMIFETIVDGKLKTEKIFKEINEHSTSYTFRSEKGLLSATQFT----------------------------------QPALTLMEKAAFEDLKSKGLIAALASLADVMSIESLVEVVFYRGMTMQVAVPRDELGRSNYGMIAINPGRVAASFSQEALQYVVERVGKRTGWLVEIVNYNVENQQYVAAGDLRALDT---------
6	5jtjA	0.14	0.04	1.27	1.41	CNFpred		------------------------------GLKNQ--GATCYMNSLLQTLFFTNQLRKAVYMMPTEGDDSSKSVPLALQRVFYELQHSDK-PVGTKKLTKSFGW-----ETLDSFMQHDVQELCRVLLDNVENKMKGTCVE-------GTIPKLFRGKMVSYIQCKEVDYRSDREDYYDIQLSIK------------------GKKNIFESFVDYVAVEQLYDAGEHGLQEAEKGVKFLTLPPVLHLQLMRFM-NIKINDRF--EFPEQLPLDEFLQKTDP----PANYILHAVLVHSGGHYVVYLNPKGDGKWCKFDDDVVSRC--TKEEAIEHNYGGCTNAYMLVYIRE--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
7	6djyB	0.09	0.08	3.03	1.31	MUSTER		KILYLKFKYGTGIVQLNYSPHISKLYQNTNNIINTTYANRFF--IRVMVLMMMDILTMEFYDVDTSAISNTAIL--TTTGVSPLLRIDTRTEPIW--YNDAIKTLITNLT-IQYGKIKTVLDA--NAVKRYSVVGYPRAYLYNHNLLEYLGKKVKREDIMSLI--KALSYEFDPKWFNDLSRFIFSICMFPDIVRQFH-------ALNIDYFSQANVNAIVKMLNSNQNMEPTIINWFLFRIC---------IDKTVIDDYFSLEMTPIIMRPKLYDFDMKRGEPVSLLYILELI-------LFSIMFPNVTQHM--------------LGQIQARI------LYISMY------AFRQEYLKFITKFGFYYKIVNGR-----------------KEYIQVTNQNERMTENNDVLTGNLSLFT---------DDPTLSAIAPTLAKIARLMKPTTSLTPDDRAIAA-------------------------------KFPRFKDSAHLNPYSSLNIGGRTQHSVTYTRMYDAIEEMFNLILRAFASSFAQRPRAGVTQLKSLLTQLADPLCLALDG------HVYHLYNVMNMMQNFIPNTDGQFHSFRACSYAVKDGGNIYRVVQNGDELNESLLIDTAIVWGLLGNTDSSYGNAIGATGTANVPTKVQPVIPTPDNFI--------TPTIHLKTSIDAICSVEGILLLILSRQTTIPGYEDELNKLRTGISQPKVTERQYRRARESIKNMLGSGDYNVAPLHFLLHTEHRSTKLSKPLIRRVLDNVV---QPYVANLDPAEFENTPQLIENSNMTRLQIALKMLTGDMDDACAKFDVYETLTIPTDVKTIVLTMQHISTQTQNNMVYYVFLIDGVKILAEDIKNVNFQIDITGIWPEYVITLLLNGFNTYVSMPNILYKPTITADVRQFMNTTKAETLLISNKSIVHEMFFDNALQPKMSSDTLALSEAVYRTIWNSSIITQRIGLMNLEDARPPEAKISHQSELDMGKIDETSGEPIYTSGLQKMQSSKVSMAN--VV---------LSAGSDVIRQAAIKYNVVRTQEI
8	5wchA	0.19	0.05	1.69	2.12	HHsearch		---------------------------GFVGLKN-AG-ATCYMNSVIQQLYMIPSIRNGILAIEGTGAAYNIGVLRHLQVIFGHLAASRLQYYVPRGFWKQFRLW---GEPVNLREQHDALEFFNSLVDSLDEALKAL-------GHPAMLSKVLGGSFADQKICQGCPHRYECESFTTLNVDIR------------------NHQNLLDSLEQYVKLGNAYHCE-KCNKKTVKRLLIKKLPPVLAIQLDYDWERE-----CAIKFNDELDMEPYTVAGKLEGDGSTKYRLVGVLVHSGGHYYSYIIQRNGGRWYKFDDGDVTECKMDDEEMKNQCFGGEYNAYILFYERMDTQD---DELIRYIS-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
9	2ipcA	0.08	0.06	2.40	1.02	EigenThreader		----------------MLGLLRRLFDNNEREIARYYKQVVEPVNRLEAEVEKAAYRELKEKHEKGASLDELLPMAFALTRESAKRYLGM--RHFDVQLIGGAVLHEMKT-----GEGKTLVATLAVALNALHVVTVN---DYLARRDAEWMGPVYRGLGLSVGVIQHAST------PAERRKAYLADSELGFDYLRDNMAISPDQL----------VLRHIDEVDSILIDEA--------RTPLIISGPAEKATDLYYKMAEIAKKLERGLPAEAHMLIQAIRAKELYIVQVIIVDEFTGRLMPGRRYGEGLHQAIEAKEGVRIEREN--------------QTLATITYQNFFRLYE-----KRAGMTGTA-----------KTEEKEFQEIYGMDVVVPTNRPVTEKGKFYAVVEEIAEKYERGQPVLVGTISIEKSERLSQMLKERLYLPRLEMRLELFKKASQKQQGKLLERPAQLKDEDLAPFEGLIPPKGNLRTAWEGLKRAVHTLAVLRQGIPHQAKHHAREAEIVAQ----AGRSKTNMAGRGTDIKLGGNPEYLAAALLEKEGFDRYEWKVELFIKKMVAGKEEEARALAQEL----------------------GIREELLERIREIREECKQDEERVRALGGLF--------------------------IIGTERHESRRIDNQLRGRAGRQGDPDDDLMRLFASDRVIAMLDRMGFDDSEP-----IEHPMVTRSIERAQKRVEDRNFAIRKQLLQFDDVLSRQREVIYAQRRLILLGKDEEVKEAAIGMVEETVASLAENFLNPEVHPEDWDLEGLKATLLDTAPQLQDFPFAELRALKAEEAVERLVEAALKAYEAREAEL-------------------------------------------SPPLMRAVERFVILNVVDNAWKEHLHNLDVLRQGIFLRGYGQKDPFQEYKIEATRLFNEMVAFIKSEVAKFLFRLKVE----------------------------------------------------------------------------
10	6zywY	0.08	0.07	2.81	1.63	SPARKS-K		---------------------------------------------------------------------------------------------------------------MFNFFSSANINQNIPKYSVNDFVFRLKKIEKIVVKEGLDGFLLINGVDSRENTEYVKLTNWLFLGNSGLEIEENEYLNQIYSDMIVLIKKGTTHIFIDPEALNSLQTLIYSIPNVDVFCPTEKQYEDKDEMELLKMAFFLRVMKPTKKVGILLGQKDKGKINSIEKWPLIQSYGLEELGVGFFSMNHEVVDLTLRLNAVYKNYDKFFVSKLIYVVAKRLTGHFNSAAGQLGDMKMHKRNLATESQLTEIFRDTYEIEEISKWVQINAALPKPRKNTSADCSKEPSVAPLKDLKYSEFDLRTCLRAARTYFLAKGVKEERNLINIDENQQYKDQDFLANLYLSIIIGFNEVMQLITKDYKNMTEEFIQDYIFQKVKVYAGFQIPESEITLDKIQIILKAYNSFG-EEVKIDFKDTISFKLTPYFFMVRIEQKNIKSQILNNTVLGSLVFAESFILQEGCYLLLTKEIPYFD-LWN-CQND---YSEKIEKMKKRILWEPLG-KQISDELPKNRIFVQTGRDIPIMQASYYMHELGLRIETQRLGWFFFKEMKEIQITQKMNHTW---------LIFKVDSNITFNS--------ISKDTIALEFTGDALEQSFFKIKNYFEENQIKY-----EYQVDIPAIFQESQIAKKQILNNEQFFISYIESKQLMLNQMKDLKLSAYKNLYEQMQISQAITPVENHIGVILVNGSYCSGKRKFAENLIRFGSDNNLRLHLYKFDLTEKSYLSGLLKFEKKIQNTDVIVASVPHFINTSEKISNAFYIRTIATKININNIYSNFNKNPVNNVFTYGVEGYSQFLLLDTYNNYDADTSITFISEQNNLNRLKYSVQYDLLTSNGPSSVVFIPFKLPILREKDYVKGILRYDSKLKTITPNYFIERTVKGV-DAKEFTEELNGVSFKNVKYTGITNSIINDMGFVFAGKNLNKEKLLELLYKLVKPLNKQKL


(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	0.4092


(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	2pffB	0.93	2.43	0.062	0.964
2	3hmjG	0.90	2.75	0.068	0.945
3	2uvcG	0.89	3.18	0.055	0.955
4	6u5vB	0.89	3.03	0.057	0.951
5	7dxjA	0.36	9.54	0.033	0.574
6	5x6oC	0.34	9.44	0.033	0.544
7	6z2wE	0.33	9.47	0.029	0.536
8	6edoA	0.32	9.59	0.038	0.528
9	5a22A	0.32	9.56	0.030	0.503
10	5xjcQ	0.31	8.94	0.039	0.480



(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:0003824	0.80	catalytic activity
GO:0016787	0.74	hydrolase activity
GO:0101005	0.69	ubiquitinyl hydrolase 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	0.98	cellular process
GO:0065007	0.93	biological regulation
GO:0044699	0.88	single-organism process
GO:0044763	0.83	single-organism cellular process
GO:0032501	0.78	multicellular organismal process
GO:0008219	0.74	cell death
GO:0012501	0.73	programmed cell death
GO:0008152	0.72	metabolic process
GO:0071704	0.71	organic substance metabolic process
GO:0044238	0.70	primary metabolic process
GO:0044237	0.68	cellular metabolic process
GO:0043170	0.68	macromolecule metabolic process
GO:0044260	0.65	cellular macromolecule metabolic process
GO:0019538	0.64	protein metabolic process
GO:0006508	0.60	proteolysis
GO:0050789	0.59	regulation of biological process
GO:0044267	0.59	cellular protein metabolic process
GO:0043412	0.59	macromolecule modification
GO:0050794	0.58	regulation of cellular process
GO:0006464	0.58	cellular protein modification process
GO:0016579	0.56	protein deubiquitination
GO:0050896	0.54	response to stimulus






(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:0044424	1.00	intracellular part
GO:0030054	0.67	cell junction
GO:0005911	0.66	cell-cell junction
GO:0032991	0.51	macromolecular complex






(a) Cscore^GO is the confidence score of predicted GO terms. Cscore^GO values range in between [0-1]; where a higher value indicates a better confidence in predicting the function using the template.
(b) The graph shows the predicted terms within the Gene Ontology hierachy for Cellular Component. Confidently predicted terms are color coded by Cscore^GO:

Predicted Enzyme Commission (EC) Numbers

Top 5 enzyme homologs in PDB


Rank	Cscore^EC	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	EC Number	Predicted Active Site Residues
1	0.060	3ffzA	0.259	8.95	0.049	0.395	3.4.24.69	NA
2	0.060	2np0A	0.255	9.71	0.044	0.418	3.4.24.69	NA
3	0.060	2r7oA	0.230	9.32	0.039	0.358	2.7.7.48	125,131
4	0.060	1q2lA	0.236	9.12	0.053	0.367	3.4.24.55	NA
5	0.060	2qf7B	0.239	8.96	0.047	0.364	6.4.1.1	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:


Rank	Cscore^LB	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	BS-score	Lig. Name	Predicted binding site residues
1	0.04	2uv8G	0.896	2.76	0.069	0.945	0.11	FMN	31,32,115,119
2	0.03	2vkzG	0.897	2.75	0.068	0.945	0.10	FMN	115,118,119
3	0.01	3cmvB	0.249	9.65	0.034	0.406	0.13	ANP	31,32,33,34
4	0.01	2vz9A	0.333	9.02	0.038	0.512	0.10	NAP	13,32,37
5	0.01	3bg5C	0.241	9.06	0.037	0.372	0.13	ATP	23,39,40,42,43,116,118
6	0.01	3cmvA	0.250	9.91	0.031	0.417	0.19	ANP	37,38,39,40,99
7	0.01	3ho8C	0.236	8.89	0.045	0.359	0.14	BTI	32,35,40
8	0.01	2vz9B	0.299	7.78	0.031	0.419	0.10	NAP	35,36,114
9	0.01	1xmsA	0.110	6.40	0.057	0.142	0.13	ANP	31,32,33,34



(a) Cscore^LB is the confidence score of predicted binding site. Cscore^LB values range in between [0-1]; where a higher score indicates a more reliable ligand-binding site prediction.
(b) BS-score is a measure of local similarity (sequence & structure) between template binding site and predicted binding site in the query structure. Based on large scale benchmarking analysis, we have observed that a BS-score >1 reflects a significant local match between the predicted and template binding site.
(c) TM-score is a measure of global structural similarity between query and template protein.
(d) RMSD^a the RMSD between residues that are structurally aligned by TM-align.
(e) IDEN^a is the percentage sequence identity in the structurally aligned region.
(f) Cov. represents the coverage of global structural alignment and is equal to the number of structurally aligned residues divided by length of the query protein.

References:
1. Wei Zheng, Chengxin Zhang, Yang Li, Robin Pearce, Eric W. Bell, Yang Zhang. Folding non-homology proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. In preparation, 2020.