Please note: this site relies heavily on the use of javascript. Without a javascript-enabled browser, this site will not function correctly. Please enable javascript and reload the page, or switch to a different browser.
0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: PKS8_DICDI (B0G101)

Summary

This is the summary of UniProt entry PKS8_DICDI (B0G101).

Description: Probable polyketide synthase 8/35 EC=2.3.1.-
Source organism: Dictyostelium discoideum (Slime mold) (NCBI taxonomy ID 44689)
Length: 2514 amino acids
Reference Proteome: ✓

Please note: when we start each new Pfam data release, we take a copy of the UniProt sequence database. This snapshot of UniProt forms the basis of the overview that you see here. It is important to note that, although some UniProt entries may be removed after a Pfam release, these entries will not be removed from Pfam until the next Pfam data release.

Pfam domains

Download the data used to generate the domain graphic in JSON format.

Show or hide the data used to generate the graphic in JSON format.

Source Domain Start End
Pfam ketoacyl-synt 11 260
Pfam Ketoacyl-synt_C 268 391
Pfam KAsynt_C_assoc 393 515
low_complexity n/a 448 463
disorder n/a 451 452
low_complexity n/a 483 496
Pfam Acyl_transf_1 552 880
Pfam PS-DH 934 1206
low_complexity n/a 1382 1402
Pfam Methyltransf_12 1403 1522
low_complexity n/a 1446 1462
Pfam ADH_N 1818 1899
low_complexity n/a 1839 1849
disorder n/a 1849 1850
Pfam KR 2159 2347
disorder n/a 2427 2428

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession B0G101. This sequence is stored in the Pfam database and updated with each new Pfam release, but this means that the sequence we store may differ from that stored by UniProt.

Sequence:
1
MNNLEIINLI DKGVAIVGVG FRIPSGNNEN SICSPDDLFN NLKNGFDGVS
50
51
STSERWSDNF HKLGEISSPN AGLLPFNECK SFDPLFFGIN PSDAHQIDPQ
100
101
QRLLLKCTWE ALEDASIDPI SIRGTNTSVF IGSSNIDYQH INKHQDSVLK
150
151
NVIAQSAYAV SNRISYCFDF NGPSLSIDTA CSSSLNAVSQ GYHSILNGTS
200
201
NMSIVGGVNL ILDVGMIKAY SYLSMLSKTH GKCKAFDESG DGFTRGECAT
250
251
IVVLKNLQDA VKDGNRIYCV INGSSSNVDG GGHMDKVNLY SPSKQSQFNN
300
301
INSAFKSTNG KLSINDIQYI EAHGTGTKTG DPIETEAISM AFKNRDKSTP
350
351
ILIGSIKSNI GHCEAGSGVA SLIKCCLMFK YQCFLPNIHF KNPNPLIKFN
400
401
EWNLKVVTSP IPFNKRINEK PVSMMINNFG VTGSNCCLLI SEFKKQDYES
450
451
YENNNNNKSN HKNILIPFSA NSSNSLNQYQ SKFKNIINNQ FNFIDFTANQ
500
501
IYSKSNYLYQ RSVVIASNSN ELFEKILNKK QIQTKNSIIS NMSFKGKNPI
550
551
TIFVFSGQGS QYPKMALELY NNDEIFKKSI DLIDSKLSKY YGYSVWGKLT
600
601
TIKDDDLTSI HDPIFAQPAL CMLSVSLFEI YCHWGVNPSF ILGHSLGEIS
650
651
AAYCSGMIDL DTFCYTVYYR SIAQSKTNGC GRMLSINISD EEFKSMYSQK
700
701
YPQIEIACYN SPQSIVVAGN ESILNEISKE LKEKEIFTAM LGSLSSFHTS
750
751
SQQCTKDSIL QLNIESNQPK VPIFSTVTTN LFNESNRFNS QYVYDNIIKP
800
801
VKFTQTISNI YKHIESNQLN NDIVFIEIAP HPTISFYIKQ MVPSSLNESV
850
851
SVYSALHKKK NDVEEFQQTI SNLYCQNGYS INFKCQLENK KSNQSINLPL
900
901
YQWDDELYFA QTQTLEQYTK EGPPIDHLGL SNSYYSPFKN SYRTFIDINN
950
951
KPFQYLKGHM VKGKYYFPGC GYIDIIIQLY KNQDIFISFI EFKTPLILIE
1000
1001
GINQYLQTNI QQTGKSEYRA QFHFKDQKSN EWIQSSNANF QLLDHGNDIP
1050
1051
SNYNIEEIIK NKCNLSKLTK NELYTQIKSK TGLNYTGVFQ GATECYLGND
1100
1101
CSLSVLSLKS QTNSFLNIPI LDTCLHGMLV LINDQSQIVF DKAIGFKYYS
1150
1151
SNIPSDLKEY KDSIYVYSNL KPKNADSYHG SIIVMLSDGS VLYEIQEVIF
1200
1201
KSLIPIKHSL KIEYPNDELY KVHLQSKDSQ IPTPSSFKSI IYENDFFHSA
1250
1251
LNIPEDLFKY ISTLFYKDII KRCPEININK INSHSVNEII SSFSKISKNQ
1300
1301
RLFRFVFETI KENGILNSLE ENDDAYFEFN ELVIKSSKII SKLLFPLESD
1350
1351
NDNEDLPQSL FQNGLMDKIY KCSYLRKKYQ MISHVIIHSI KEIINNNIII
1400
1401
RILEFGGGTA SLSVEVIGEI VALLQENPNY QVEIEYTWSD ISPAFIADAK
1450
1451
NKINKIINDA AITNGLNVIY RSLTIDESLL ENQAIKPSYY DFVIMSNVLH
1500
1501
VVKNIKQAVE QMYQLLTPNG QLLFIEPPYK SVLIDSIIGS FEQWWSFTDT
1550
1551
DIRKDRCGMS QQSWYQLLKT CNFKDILMSK ECIFVGSVIH AQKPPISLLN
1600
1601
SQPKHDNIII YGGGGNLSFV ENIKLDSNSK SLIQIETIQE FNQLLSQSTI
1650
1651
TNDSIIYFIK TLETLSLDNY KQITLEYIEI NQRLLQINSL CKHVLIVSDS
1700
1701
RKTNYLASSV VGAARYFDEF QQLKLHTLDF DYDSTQNYIN SKNNKMVQFI
1750
1751
NILVDSKTNV HKEMIIINNK VYYEIVQKEK NLKLKYNSES FENQNNLMCS
1800
1801
LSPNLEYQLQ SKQIKLRDNQ VEVKTIATGI NYKDYLNFSG SNNNNGDDNT
1850
1851
GLPQFGYEFS GIITRVGNNV KDYKVGDNVF GLSNSCTSSH IVTNFKNIQL
1900
1901
KPSNISHNEA SSIPIDYLTS FMSLFNVGSL NIEDNESILI HLGSDSFGLS
1950
1951
TFEILKWKGF KSNLFVTVDL DETKQYLLDR YGDFITGIYS NTDKSYVTEI
2000
2001
KNELIKLGSK KKGVDLILNT LPSDFMDSNF ELLTKSGRII DLTSNHLNQS
2050
2051
EFLKNINFKY NHGYHNFQLS LIQKNKIQKC LYEISHAIEN GELKTIPIKE
2100
2101
FTNLNIKDAI KYITNGNIEK ITVSHDHEIY SDIIYRSLDE KEFSILKSNY
2150
2151
QINSNNLGKN ILITGQSGII LEILKWIIKY SNINTIENVI ILSRSSLKWE
2200
2201
LELLINQTKL SNNNIKFHFK SVDVGDSEQV DNAINEILNE NQQITNIDSI
2250
2251
YHFAFQQITC KVQEINMKHL DISHGAKSMG AVNLHNQSIK RNWKLINFVM
2300
2301
ASSALSLIGS TDQCTYACAN LLLDSFSKYR ESLGLPSACI NLGSIESTGF
2350
2351
VSKNESISEF TDGIGYVPTP INLVLGLLDL QIQNAGKFTN SMLSNLISSK
2400
2401
FKNIQQTSLF LKFDYLMNLN DNSEQTKKEN IGNKNIDELF IEKVSELFST
2450
2451
DQSRINKNLR LIDYGADSLI IVQLKNWIDK EIGINLITIK QLQNNTINIS
2500
2501
IKMILNSLMK NNQI                                       
2514
 

Show the unformatted sequence.

Checksums:
CRC64:D1669E848B3A00E3
MD5:74a610d62f8a09eb873fe7ac935be7fe

AlphaFold Structure Prediction

The protein structure below has been predicted by DeepMind with AlphaFold. For more information, please visit the AlphaFold page for this protein.

Model confidence scale

  Very High (pLDDT > 90)
  Confident (90 > pLDDT > 70)
  Low (70 > pLDDT > 50)
  Very Low (pLDDT < 50)
Highly accurate protein structure prediction with AlphaFold. John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A. A. Kohl, Andrew J. Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler, Trevor Back, Stig Petersen, David Reiman, Ellen Clancy, Michal Zielinski, Martin Steinegger, Michalina Pacholska, Tamas Berghammer, Sebastian Bodenstein, David Silver, Oriol Vinyals, Andrew W. Senior, Koray Kavukcuoglu, Pushmeet Kohli & Demis Hassabis Nature 2021-07-15; DOI: 10.1038/s41586-021-03819-2;