[Home] [Server] [Queue] [About] [Remove] [Statistics]

I-TASSER results for job id S34212

  Submitted Sequence

>863
MSIGIILLIIVVVIAVYVVMTYNKLITEIETVKNSEKQIDVQLDRRAKVFDSLVNVVKKY
MDYEQTTLKQVVALRNQANLAKENGDIQERINAENKISDLAKGINVQFENYPELKANQNV
IQLQEEITSTENKLAFAKQALNDSIERYNAHKKSFFAGIVVSIFKKLNEDFVYWNISEEK
KQQLEDSRVEL

  Predicted Secondary Structure

Sequence                  20                  40                  60                  80                 100                 120                 140                 160                 180
                   |                   |                   |                   |                   |                   |                   |                   |                   |            
MSIGIILLIIVVVIAVYVVMTYNKLITEIETVKNSEKQIDVQLDRRAKVFDSLVNVVKKYMDYEQTTLKQVVALRNQANLAKENGDIQERINAENKISDLAKGINVQFENYPELKANQNVIQLQEEITSTENKLAFAKQALNDSIERYNAHKKSFFAGIVVSIFKKLNEDFVYWNISEEKKQQLEDSRVEL
PredictionCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHCCCCCCCCCCCCCHHHCCCCCCCCCCC
Conf.Score91099999999999999998388999999999999989999999999889999999999999999999999999998664799742999999999999999989999960886544699999999999999999999999999999999999963099999995898676446896732256777899999

  Top 5 Models predicted by I-TASSER

Download Model 1 Download Model 2 Download Model 3 Download Model 4 Download Model 5
C-score=-1.23
C-score=-1.97
C-score=-1.76
C-score=-3.13
C-score=-2.44
 
Estimated accuracy of Model1: 0.56±0.15 (TM-score)    7.9±4.4Å (RMSD)    (Read more about C-score of generated models)

  Top 10 templates used by I-TASSER

RankPDB
Hit
Iden1Iden2Cov.Norm.
Z-score
Download
Align.
                   20                  40                  60                  80                 100                 120                 140                 160                 180
                   |                   |                   |                   |                   |                   |                   |                   |                   |           
Sec.Str
Seq
CCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHHHHHHHHHHHHHHHCCCCHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHCCHHHHHHHHCCCCCCCCCCCCCHHHCCCCCCCCCCC
MSIGIILLIIVVVIAVYVVMTYNKLITEIETVKNSEKQIDVQLDRRAKVFDSLVNVVKKYMDYEQTTLKQVVALRNQANLAKENGDIQERINAENKISDLAKGINVQFENYPELKANQNVIQLQEEITSTENKLAFAKQALNDSIERYNAHKKSFFAGIVVSIFKKLNEDFVYWNISEEKKQQLEDSRVEL
12etdA 0.25 0.20 0.67 1.59Download -----------------------HHLVSLEQEVQEYSQIQNQLQRRADLIPNLVETVG-YAAHE-EILEEIANARALIGAT-----PQESAQADAELSSALSRLLAIAENYPNLAD--ANFRQLDELAGTENRIAVARRDYNEAVYNTAIGF---------------EEQYFEAP----------------
22etdA 0.31 0.21 0.66 9.34Download ----------------------HHLVSLEQEVQE-YSQIQNQLQRRADLIPNLVETV-GYAAHE-EILEEIANARA-LIGA-TP---QESAQADAELSSALSRLLAIAENYPNL-ADANFRQL-DELAGTENRIAVARRDYNEAV--YNTAI------------GFEE-QY--FEA---------------
32etdA 0.30 0.20 0.67 1.84Download ----------------------HHLVSLEQEVQ-EYSQIQNQLQRRADLIPNLVET-VGYAAHE-EILEEIANARALIGAT-----PQESAQADAELSSALSRLLAIAENYPNL-ADANFRQLD-ELAGTENRIAVARRDYNEAV--YNTAIG-------------FEEQYFEAP----------------
42etdA 0.29 0.20 0.67 1.48Download ----------------------HHLVSLEQ-EVQEYSQIQNQLQRRADLIPNLVETV-GYAAHEE-ILEEIANAR-----ALIGATPQESAQADAELSSALSRLLAIAENYPNL-ADANFRQLD-ELAGTENRIAVARRDYNEAVYNTAIG---------------FEEQYFEAP----------------
52etdA 0.25 0.20 0.67 2.07Download -----------------------HHLVSLEQEVQEYSQIQNQLQRRADLIPNLVETVG-YAAHE-EILEEIANARA-----LIGATPQESAQADAELSSALSRLLAIAENYPNLAD--ANFRQLDELAGTENRIAVARRDYNEAVYNTAIGF---------------EEQYFEAP----------------
62etdA 0.31 0.21 0.66 9.47Download ----------------------HHLVSLEQEVQE-YSQIQNQLQRRADLIPNLVETV-GYAAHE-EILEEIANARA-LIGA-TP---QESAQADAELSSALSRLLAIAENYPNL-ADANFRQL-DELAGTENRIAVARRDYNEAV--YNTAI------------GFEE-QYFEA-----------------
72etdA 0.28 0.20 0.67 3.50Download ----------------------HHLVSLEQEVQ-EYSQIQNQLQRRADLIPNLVETV-GYAAHEE-ILEEIANARAL-----IGATPQESAQADAELSSALSRLLAIAENYPNLA-DANFRQLD-ELAGTENRIAVARRDYNEAVYNTAIGF---------------EEQYFEAP----------------
82etdA 0.31 0.21 0.65 8.44Download ------------------------LVSLEQEVQE-YSQIQNQLQRRADLIPNLVETV-GYAAHE-EILEEIANARA-LIGA-T---PQESAQADAELSSALSRLLAIAENYPNL-ADANFRQL-DELAGTENRIAVARRDYNEAV--YNTAI------------GFEE-QYFEA-----------------
92etdA 0.30 0.20 0.67 1.04Download ----------------------HHLVSLEQEVQ-EYSQIQNQLQRRADLIPNLVET-VGYAAHE-EILEEIANARALIGAT-----PQESAQADAELSSALSRLLAIAENYPNL-ADANFRQLD-ELAGTENRIAVARRDYNEAV--YNTAIG-FE------------EQYFEAP----------------
101pb6A 0.06 0.17 0.94 0.71Download VS-AKKKAILSAALDTFSQFGFHGT-RLEQIAELAKTNLLYYFPSKEALYIAVLRQILDIWLAPLKAFREDFAPLAAIKEY-----IRLKLEVSRDYPQASRLFCMEMLAGAPLLMDELTGDLKALIDEKSALIAGWVKSPQHLIFMIWASTQHY-ADFAPQVEAVTGATLRDEVFFNQTVENV----QRI
(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: MUSTER   2: HHSEARCH   3: SP3   4: PROSPECT2   5: PPA-I   6: HHSEARCH I   7: FUGUE   8: HHSEARCH II   9: SPARKS   10: MUSTER   

  10 proteins in PDB which are structurally closest to the first I-TASSER model (identified by TM-align)

RankTM-scoreRMSDaIDENaCov.PDB
Hit
10.6264 1.65 0.30 0.672etdA
Model1
 
20.5944 3.05 0.06 0.741qoyA
Model1
 
30.5658 4.39 0.07 0.831txdA
Model1
 
40.5489 4.68 0.06 0.841xcgA
Model1
 
50.5465 3.79 0.04 0.731xlyA
Model1
 
60.5429 4.43 0.06 0.812dx1A
Model1
 
70.5390 4.42 0.09 0.821ki1B
Model1
 
80.5297 4.39 0.06 0.802rgnB
Model1
 
90.5281 3.94 0.04 0.711u8vA
Model1
 
100.5280 3.90 0.09 0.742nrjA
Model1
 
Structural alignment using TM-align
 
---------------------H-HLVSLEQEVQE-YSQIQNQLQRRADLIPNLVETV-GYAAHE-EILEEIANARA-LIGA----TPQESAQADAELSSALSRLLAIAENYPNL-ADANFRQL-DELAGTENRIAVARRDYNEAV--YNTAI---------GFE--E--Q-YFEAP--------------- 
MSIGIILLIIVVVIAVYVVMTYNKLITEIETVKNSEKQIDVQLDRRAKVFDSLVNVVKKYMDYEQTTLKQVVALRNQANLAKENGDIQERINAENKISDLAKGINVQFENYPELKANQNVIQLQEEITSTENKLAFAKQALNDSIERYNAHKKSFFAGIVVSIFKKLNEDFVYWNISEEKKQQLEDSRVEL 
 
GILDSMAEIVADKTVEVVKNAIETADGALDLYNKYLDQVIPWQTFDETIKEL------SR-FKQEYSQ-AASVLVGDIKTLLMDSQDKYFEATQTVYEWCGVATQLLAAYILLFDEYNEKK------------------------------------------------ASAQKDI--LIKVLDDGITKLNEAQKSLLVSSQSFNNASGKLLALDSQLTNDFSEKSSYFQSQVDKIRKEAYAGAAAGVVVGPFGLIISYSIAAGVVEGKLIPELKNKLKSVQNFFTTLSN-TVK-QANKDIDAAKLKL---------TTEIAAIGEIKTETETTRFYVDYDDLMLSLLKEAAKKMINTCNEYQKRHGKKTLF 
----------------------------------------------------MSIGIIL-LIIVVVIAVYVVMTYNKLITEIETVKNSEKQIDVQLDRRAKVFDSLVNVVKKYMD------YEQTTLKQVVALRNQANLAKENGDIQERINAENKISDLAKGINVQFENYPELKANQNVIQLQEEITSTENKLAFAKQALNDSIERYNAHKKSFF-------------------------------------------------------------------AGIVVSIFKKL-NEDF--VYWNISE-EKKQQLEDSRV--EL------------------------------------------------- 
 
PPNWQQLVSRE------------VLLG-LKPCEIKRQEVINELFYTERAHVRTLKVLDQVFYQRVSRE-GI-L--SPSELRKIFSNLEDILQLHIGLNEQMKAVRKRNETSVIDQIGEDLLTWFSGPGEEKLKHAAATFCSNQPFALEMIKSRQK-KDSRF-QTFVQDAESNPLCRRLQLKDIIP-TQMQRLTKYPLLLDNIAKYTEWPTEREK-VKK--AAD--HCRQILNFVNQAV----KE---AENKQRLEDYQR 
-----------MSIGIILLIIVVVIAVYVVMTYNKLITEIETVKNSEKQIDVQLDRRAK-VFDSLVNVVKKYMDYEQTTLKQVVALRNQANLAK-E------------------------------NG--DIQERINAENKIS-DLAKGINVQFENYPELKANQNVIQLQ-------EEITSTENKLAFAKQALNDSIERYNAHKKSFFAGIVVSIF-KKL--NEDFV-YWNISEEK-KQQLE-DSRVEL--------- 
 
QNWQHTVGKD------------VVAG-LTQREIDRQEVINELFVTEASHLRTLRVLDLIFYQRMKKE-N-LM--PREELARLFPNLPELIEIHNSWCEAMKKLREEGPIIKEISDLMLARFDGPAREELQQVAAQFCSYQSIALELIKTKQRKESRF-QLFMQEAESHPQCRRLQLRDLII-SEMQRLTKYPLLLESIIKHTEGGTSEHEKLCR--ARD--QCREILKYVNEAV----KQT----ENRHRLE 
----------MSIGIILLIIVVVIAVYVVMTYNKLITEIETVKNSEKQIDVQLDRRAK-VFDSLVNVVKKYMDYEQTTLKQVVALRNQANLAKENG-----------------------D--------IQERINAENKISDLAKGINVQFENYPELKANQNVIQLQ-------EEITSTENKLAFAKQALNDSIERYNAHKKSFFAGIVVSIF-KKL--NEDFV-YWNISEEK-KQQLE--DSRVEL----- 
 
-DI--KV--------------TP--GTS-EL-VEQILALLSRYLSSYIHVLNKFISHLRRV-ATLRFERTTLIKFVKKLRFYNDSVLSYNASEFINEGKNELDPEADSFDKVILPIASMFVKSVETFDLLNYYLTQSLQKEILSKTL-NE-D--LT--LTAESILAIDDTYNHFVKFSQWMIESLR-IGSNL-------------------LDLEVVQFAI-KSADEDNIFLQEILPVNSEEEFQTLSAAWHSILDGKLSALDEEFDVVATKW-- 
MSIGIILLIIVVVIAVYVVMTYNKLIT-EIETVKNSEKQIDVQLDRRAKVFDSLVNVVKKYMDYEQTTLKQVVALRNQANLAKENG--------------------------------DIQERINAENKISDLA-KGINVQFEN-YPELKANQNVIQLQE-EITSTENKLAFAKQALNDSIERYNAHKK---SFFAGIVVSIFKKLNEDFVYWNISEEKKQQLED---SRV------------------------------------------EL 
 
LAINELISDGSVVCAEALWDHVTDDQELGFKAGDVIEVDATNREWWWGRVADGEGWFPASFVRLRVNQD----------------AQSSKD-QRTNVINEILSTERDYIKHLRDICEGYVRQCRKR-A-DF--SEEQLRTIFGNIEDIYRCQKAFVKALEQRFNRERPHLSELGACFLEHQADFQI-YSEYCNNHPNACVELSRLT--K--LSKYVYFFEACRLLQKIDISLDGFLL-TPVQKICKYPLQLAELLKYT--HPQHRDFKDVEA-ALH-AKN-VAQLIN-E----RKRRLENIDKIAQWQSSIEDWEGEDLLVRSSELIYSGELTRVTQPQAKSQQRFFLFDHQLIYCKKDLLRRDVLYYKGRLDDGLEVVIKNAFRLHSHLLCTRKPEQKQRWLKAFAREREQVQ 
---------------------------------------------------------------------MSIGIILLIIVVVIAVYVVMTYNKLITEIETVKNSEKQIDVQLDRRAK-VFDSLVNVVKKYMDYEQTTLKQVVALRNQANLAK-EN------------------------G--DIQERINAENKISDLAKGINVQFENYPELKAN--QNVIQLQ------EEITSTENKLAFAK-QALNDSIERYNAHKKSFFAG-IVVSIFKKLN-EDF-VYWNISEEKKQQLEDSRVEL------------------------------------------------------------------------------------------------------------------ 
 
---------------D--MLTPTERKRQGYIHELIVTEENYVNDLQLVTEIFQKPLMES--ELL--TEKEVAMIFVNWKELIMCNIKLLKALRVRKKMSGEKMPVKMIGDILSAQLPHMQPYIRFCSRQLNGAALIQQ-KTDEAPDF-KEFVKRLEMDPRCKGMPLSSFIL-KPMQRVTRYPLIIKNILENT-PENHPDHSHLKH--ALE--KAEELCSQVNEGVREKENSDRLEWIQA------------ 
MSIGIILLIIVVVIAVYVVMT--YNKLITEIETVKNSEKQIDVQLDRRAK-VFDSLVNVVKKYMDYEQTTLKQVVALRNQANLAKENG--------------------------DI--QERINAEN-KISDLAKGINVQFENYPELKANQNVIQLQ-------EEITSTENKLAFAK-QALNDSIERYNAHKKSFFAGIVVSIF-KKL--NEDFV-YWNISEE----------------KKQQLEDSRVEL 
 
SE--E----------EQKKKALERSMYVLSELVETEKMYVDDLGQIVEGYMATMAAQGVPE-SLRGRDRIVFGNIQQIYEWHRDYFLQELQRCLKDPDWLAQLFIKHERRLHMYVVYCQNKPKSEHVVS-EF----GDSYFEELRQQLGHRLQLNDLLIKPVQRIMKYQLLLKDFLKYYNRAGMDTAD-LEQ-AVE--VMCFVPKRCNDMMTLGRLRGFEGKLTAQGKLLG--QDTFWVTEPSRGRERRVFLFEQIIIFSEALGP-------GYVYKNSIKVSCLGLEGNLQGDPCRFALTSRGPEGGIQRYVLQAADPAISQAWIKHVAQILESQRDFLNALQSPIEYQRRESQTNS 
MSIGIILLIIVVVIAVYVVMTYNKLITEIETVKNSEKQIDVQLDRRAKVFDSLVNVVKKYMDYEQTTLKQVVALRNQANLAK-ENG--------------------D--IQERINAENKISDLAKGINVQFENYPELKAN-QNVIQ-L-Q-EEITSTENKLAFAKQALNDSIERYNAHKKSFFAGIVVSIF-KK--LNEDFVYWN-ISEEK--------------------KQQ-------------------------------LEDSRVEL------------------------------------------------------------------------------------- 
 
MLMTAEQYIESLRKLNTRVYMFGEKIENWVDHPMIRPSINCVRMTYELAQDPQYADLMTTKSNLIGKTINRFANLHQSTDDLRKKVKMQRLLGQKTASCFQRCVGMDAFNAVFSTTYEIDQKYGTNYHKNFTEYLKYIQENDLIVDGAMTDPKGDRGLAPSAQKDPDLFLRIVEKREDGIVVRGAKAHQTGSINSHEHIIMPTIAMTEADKDYAVSFACPSDADGLFMIYGRQSCDTRKMEEGADIDLGNKQFGGQEALVVFDNVFIPNDRIFLCQEYDFAGMMVERFAGYHRQSYGGCKVGVGDVVIGAAALAADYN--G---------------------------------------------------------AQKASHVKDKLIEMTHLNETLYCCGIACSAEG-Y--PTAAG-NYQIDLLLANVCKQNITRFPYEIVRLAEDIAGGLMVTMPSEADFKSETVVGRDGETIGDFCNKFFAAAPTCTTEERMRVLRFLENICLGASAVGYRTESMHGAGSPQAQRIMIARQGNINAKKELAKAIAGIK------------------------------- 
-----------------------------------------------------------------------------------------------------------------MSIGIIL------L---------------------------------------------------------------------------------------II--------------------------------------------------------VVVIAVYVVMTYNKLITEIETVKNSEKQIDVQLDRRAKVFDSLVNVVKKYMDYEQTTLKQVVALRNQANLAKENGDIQERINAENKISDLAKGINVQFENYPELKANQNVIQLQEEITSTENKLAFAKQALNDSIERYNAHKKSFFAGIV-----------------------------------------------------------------------------------------------------------------------------------VSIFKKLNEDFVYWNISEEKKQQLEDSRVEL 
 
LSEIEQTNNGDTALSANEARKETLQKAGLFAKSNAYSYLIK------NPDVNFEGITINGYVDLPGRIVQDQKNARAHAVTWDTKVKKQLLDTLNGIVEYDTTFDNYYETVEAINTG---------------------------------------------DGETLKEGI-TD-LRGEIQQNQKYAQQLIEELTKLRDSIGHDVRAFGSNKELLQSILKNQGADVDADQKRLEEVLGSVNYYKQLEGFNVKGAILGLPIIGGIIVGVARDNLGKLEPLLAELRQTVDYKVTLNRVVGVAYSNINEHKALDDAINALTYSTQW-----------HDLDSQYSGVLGHIENAAQKADQNKFKFLKPNLNAAKDSWKTLRTDAVTLKEGIKELKVET- 
-----------------------------------------MSIGIILLIIVVVIA--------VY-VVMTYNKLITEIETVKNSEKQIDVQLDRRAKVFDSLVNVVKKYMDYE---QTTLKQVVALRNQANLAKENGDIQERINAENKISDLAKGINVQFENYPELKANQNVIQLQEEITSTENKLAFAKQALNDSIERYNAHKK-SF--FA----------------GI-VV-SIFKKLNE-----------------------------------------------------------------DF--VYWNIS-----EEKKQQLEDSRVE-----------------------------------------------------------L 
 
(a)Residue pairs that are structurally aligned by TM-align program 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)Ranking of proteins is based on TM-score of the structural alignment between Model1 and the PDB structures in our template 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 model.

  Function Prediction

  Predicted EC Numbers

RankTM-scoreRMSDaIDENaCov.EC-ScorePDB
Hit
EC No.
10.4845 4.55 0.08 0.760.50201ntyA 2.7.11.1
 
20.5179 3.70 0.08 0.690.50072frvD 1.12.2.1
 
30.4931 4.62 0.08 0.740.49383e04D 4.2.1.2
 
40.4796 5.01 0.08 0.750.49251n8qA 1.13.11.12
 
50.3972 6.01 0.11 0.750.49231s5jA 2.7.7.7
 
(a)Ranking is based on EC-score, which is a confidence score for the Enzyme Classification (EC) Number prediction.
(b)RMSDa is the RMSD between models and the PDB structure in the structurally aligned regions by TM-align.
(c)IDENa is percentage sequence identity in the structurally aligned region.
(d)Cov. represents the coverage of the alignment and is equal to the number of structurally aligned residues divided by length of model.
(e)EC-Score is defined based on the C-score of the structure prediction and similarity of the model with known enzyme structures, as identified using both global and local structural alignment programs. The global similarity score uses TM-score, IDENa,RMSDa and Cov. of the structural alignment by TM-align, while the local match compares the structural and chemical similarity of local spatial motifs in the model with known catalytic site of enzymes. A prediction with a EC-score >1.1 signifies a prediction with high confidence (upto 3 digit numbers of EC) and vice versa (For details, see Ambrish, Kucukural and Zhang,Large scale benchmarking of protein function prediction using predicted protein structures, 2009, submitted).

  Predicted GO terms

RankTMscoreRMSDaIDENaCov.PDB
Hit
Fh-ScoreAssociated GO Terms
10.5383 4.52 0.08 0.811ki1D 0.57 GO:0005085 GO:0005089 GO:0005509 GO:0005515 GO:0043169 GO:0006897 GO:0007154 GO:0010324 GO:0035023 GO:0048488 GO:0065007 GO:0005622 GO:0005623 GO:0005886 GO:0012505 GO:0019717 GO:0030027 GO:0030054 GO:0031252 GO:0045202
20.5944 3.05 0.06 0.741qoyA 0.57 GO:0001906 GO:0009405 GO:0009987 GO:0019835 GO:0019836 GO:0044004 GO:0051701 GO:0051702 GO:0051715 GO:0051818 GO:0051851 GO:0052025 GO:0052111 GO:0052331 GO:0052332 GO:0005576 GO:0005623 GO:0016020 GO:0016021 GO:0042597
30.4698 3.41 0.11 0.641r0dI 0.55 GO:0003779 GO:0035091 GO:0006898 GO:0010324 GO:0005622 GO:0005623 GO:0005737 GO:0005886 GO:0005905 GO:0012505 GO:0030136 GO:0031410 GO:0043229 GO:0043231 GO:0044444
40.5343 4.24 0.07 0.802rgnE 0.54 GO:0005085 GO:0005089 GO:0007154 GO:0035023 GO:0065007 GO:0005622 GO:0005623 GO:0005737
50.5105 4.54 0.08 0.802z0qA 0.54 GO:0005085 GO:0005089 GO:0007154 GO:0035023 GO:0065007 GO:0005622 GO:0005623 GO:0005737
60.5105 4.54 0.08 0.802z0qA 0.54 GO:0005085 GO:0005089 GO:0007154 GO:0035023 GO:0065007 GO:0005622 GO:0005623 GO:0005737
70.5217 4.29 0.08 0.732d4yB 0.54 GO:0003774 GO:0005198 GO:0001539 GO:0006928 GO:0009296 GO:0010926 GO:0043064 GO:0044085 GO:0005576 GO:0005623 GO:0009288 GO:0009424
80.5080 4.75 0.08 0.801foeG 0.54 GO:0005057 GO:0005085 GO:0005089 GO:0005543 GO:0046875 GO:0009653 GO:0009987 GO:0032501 GO:0048869 GO:0050789 GO:0065007 GO:0005622 GO:0005623 GO:0005886
90.5427 4.55 0.06 0.832pz1A 0.53 GO:0005085 GO:0005089 GO:0019904 GO:0007154 GO:0035023 GO:0065007 GO:0005622 GO:0005623 GO:0005737 GO:0005886 GO:0042995
100.4739 4.87 0.09 0.732iukB 0.53 GO:0005506 GO:0009055 GO:0016165 GO:0043169 GO:0051213 GO:0009058 GO:0009987 GO:0031407 GO:0031408 GO:0032787 GO:0044249 GO:0046394 GO:0055114 GO:0005622 GO:0005623 GO:0005737

Consensus Prediction of Gene Ontology terms 
Molecular Function  Biological Process Cellular Location
GO termGO-Score  GO termGO-Score GO termGO-Score
GO:00050850.327  GO:00099870.545  GO:00056230.545
GO:00306950.327  GO:00507890.327  GO:00444640.545
GO:00302340.327  GO:00650070.327  GO:00056220.435
GO:00050880.327  GO:00071650.273  GO:00057370.324
GO:00050830.327  GO:00071540.273  GO:00444240.324
GO:00050890.327  GO:00072660.273  GO:00160200.276
GO:00054880.325  GO:00072640.273  GO:00058860.219
GO:00055150.219  GO:00072650.273  GO:00444250.169
GO:00431690.163  GO:00507940.273  GO:00429950.164
GO:00431670.163  GO:00072420.273  GO:00125050.112

(a)Ranking in the first table is based on a function prediction score (Fh-score), which is calculated based on the C-score of the structure prediction and the TM-score, IDENa, RMSDa and Cov. of the structural alignment by TM-align between the predicted model and the PDB structures (For details, see Ambrish, Kucukural and Zhang,Large scale benchmarking of protein function prediction using predicted protein structures, 2009, submitted).
(b)RMSDa is the RMSD between models and the PDB structure in the structurally aligned regions by TM-align.
(c)IDENa is the percentage sequence identity in the structurally aligned region.
(d)Cov. represents the coverage of the alignment and is equal to the number of structurally aligned residues divided by length of model.
(e)A consensus prediction of GO terms is derived from the structural analogs that have an Fh-score of >=1.0. The GO-Score associated with each prediction is defined as the average weight of the GO term, where the weights are assigned based on the Fh-score of the template from which the GO term is derived. A prediction with a GO-score >0.5 signifies a prediction with high confidence and vice versa.


  Predicted Binding Site


Binding site residues in the model:
ILE:39  GLN:42  LEU:43  ARG:45  ARG:46  ALA:47  VAL:49  
PHE:50  LEU:53  VAL:71  LEU:74  ARG:90  ILE:91  ALA:93  
GLU:94  ASN:95  LYS:96  ILE:97  SER:98  LEU:100  ALA:101  
ILE:104  ILE:121  GLN:122  LEU:123  GLN:124  GLU:125  GLU:126  
ILE:127  THR:128  THR:130  GLU:131  LEU:134  
Identified analogs with similar binding site:

RankPDB
Hit
TM-scoreRMSDaIDENaCov.BS-scoreDownload
Complex
Binding site residues on the predicted model
11tguA0.4126 5.42 0.09 0.71 0.72Download39,42,43,45,46,47,49,50,53,71,74,90,91,93,94,95,96,97,98,100,101,104,121,122,123,124,125,126,127,128,130,131,134
22z1qB0.4824 4.50 0.03 0.70 0.41Download57,61,63,64,65,66,67,68,70,71,100,103,104,105,106,107,108,109,110
33mdeA0.4686 4.14 0.07 0.68 0.31Download106,143,144,146,147,150
41pw6B0.3774 3.67 0.10 0.52 0.29Download61,63,64,66,67,70,96,100,104,107,108,110,111
51sirA0.4616 4.06 0.05 0.65 0.28Download140,143,144,146,147,150,153,178
61egcA0.4742 4.21 0.07 0.68 0.27Download1,2,3,4,5,6,7,21,22,25,26,28,29,31,35,144,145,147,148,149,150,151,152,153,154,155,156,159
71a4eA0.4160 5.59 0.05 0.74 0.21Download42,43,44,45,46,47,48,49,50,51,52,53,54,75,94,122,123,126,127,129,130,131
82iufA0.4039 5.80 0.06 0.74 0.21Download42,43,45,46,47,48,49,50,51,52,53,54,55,56,75,119,122,123,125,126,127,128,130,131
91cwqA0.4197 4.11 0.07 0.60 0.20Download35,36,38,39,40,41,42,43,87,90,91,94,130,134,138,141,171,172,173
101bucA0.4808 4.18 0.04 0.68 0.19Download1,2,3,4,5,7,22,25,26,28,29,144,147,148,149,150,151,152,153,154,155,156,158,159,160,163

(a)Ranking of the analogs in the table is based on their BS-score. BS-score is calculated by first finding the structural analogs of the predicted model based on their TM-score, IDENa and Cov. of the structural alignment. The ligand(s) in the analog structure are then transferred onto the model and the fitness of the ligand-model complex (BS-score) is calculated by comparing the local structure and sequence similarity in the binding site region. (For detail, see Kucukural, Szilagyi, Ambrish, and Zhang, Template based ligand binding site prediction on modeled protein structure, 2009, in preparation).
(b) A BS-score of >0.5 signifies a binding site prediction with high confidence and vice-versa.
(c)RMSDa 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 model.
(f)The image shows the ligand-protein complex with the best BS-score. The ligand is depicted in magenta colored ball & stick, the predicted binding site residues interacting with the ligand are shown as transparent green spheres, while the N & C terminus in the model are marked by blue and red spheres respectively.




 Please cite following articles when you use the I-TASSER server:
1.Yang Zhang. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics, 9:40 (2008).
2.Yang Zhang. Template-based modeling and free modeling by I-TASSER in CASP7. Proteins, 8: 108-117 (2007).
3.Sitao Wu, Jeffrey Skolnick, Yang Zhang. Ab initio modeling of small proteins by iterative TASSER simulations. BMC Biology, 5:17 (2007).