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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: PLCB2_RAT (O89040)

Summary

This is the summary of UniProt entry PLCB2_RAT (O89040).

Description: 1-phosphatidylinositol 4,5-bisphosphate phosphodiesterase beta-2 {ECO:0000305}
Source organism: Rattus norvegicus (Rat) (NCBI taxonomy ID 10116)
Length: 1183 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.

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Source Domain Start End
low_complexity n/a 3 14
Pfam PH_14 12 141
Pfam EF-hand_like 211 305
disorder n/a 241 242
disorder n/a 255 258
Pfam PI-PLC-X 314 464
disorder n/a 418 420
disorder n/a 435 449
disorder n/a 451 455
disorder n/a 459 463
disorder n/a 465 544
coiled_coil n/a 500 531
low_complexity n/a 504 529
Pfam PI-PLC-Y 550 664
Pfam C2 686 786
disorder n/a 724 725
disorder n/a 859 892
low_complexity n/a 870 886
disorder n/a 896 897
coiled_coil n/a 898 918
low_complexity n/a 904 927
disorder n/a 909 911
disorder n/a 913 915
disorder n/a 917 918
disorder n/a 937 953
disorder n/a 956 958
disorder n/a 965 966
disorder n/a 968 969
disorder n/a 971 973
disorder n/a 975 989
Pfam PLC-beta_C 976 1151
low_complexity n/a 985 996
disorder n/a 992 993
disorder n/a 995 1006
coiled_coil n/a 1001 1028
disorder n/a 1008 1018
disorder n/a 1023 1047
disorder n/a 1050 1052
disorder n/a 1056 1057
disorder n/a 1064 1072
disorder n/a 1076 1077
coiled_coil n/a 1078 1142
disorder n/a 1079 1105
disorder n/a 1128 1131
disorder n/a 1154 1183

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession O89040. 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
MSLLNPVLLP PKVKAYLSQG ERFIKWDDET SIASPVILRV DPKGYYLYWT
50
51
HQSKEMEFLD VTSIRDTRFG KFAKIPKSQK LREVFNMDFP DNHFLLKTFT
100
101
VVSGPDMVGL TFHNFVSYKE NVGKDWAEDV LALAKHPMTA NASRSTFLDK
150
151
ILVKLKMQLS PEGKIPVKNF FQMFPADRKR VEAALSACHL AKGKNDAINP
200
201
EDFPESVYKS FLMSLCPRPE IDEIFTSYHA KAKPYMTKEH LTKFINQKQR
250
251
DPRLNSLLFP PARPEQVQAL IDKYEPSGIN VQRGQLSPEG MVWFLCGPEN
300
301
SVLAHDTLRI HQDMTQPLNH YFINSSHNTY LTAGQFSGPS SAEMYRQVLL
350
351
SGCRCVELDC WKGKPPDEEP IITHGFTMTT DILFKEAVEA IAESAFKTSP
400
401
YPVILSFENH VDSPRQQAKM AEYCRTMFGE TLLTEPLENF PLKPGMPLPS
450
451
PEDLRGKILI KNKKNQFSGP ASPNKKPDGV SEGGFPSSVP VEEDTGWTAE
500
501
DRTEVEEGEE EEEVEEEEEE ESGNLDEEEI KKMQSDEGTA GLEVTAYEEM
550
551
SSLVNYIQPT KFISFEFSAQ KNRSYLVSSF TELKAYELLS KASMQFVDYN
600
601
KRQMSRVYPK GTRMDSSNYM PQMFWNAGCQ MVALNFQTMD LPMQQNMALF
650
651
EFNGQSGYLL KHEFMRRQDK QFNPFSVDRI DVVVATTLSI TVISGQFLSE
700
701
RSVRTYVEVE LFGLPGDPKR RYRTKLSPTA NSINPVWKEE PFIFEKILVP
750
751
ELASLRIAVM EEGGKFIGHR IIPINALHSG YHHLCLRSES NMPLTMPALF
800
801
VFLEMKDYVP DTWADLTVAL ANPIKYFSAH DKKSVKLKEV TGSLPEKLFS
850
851
GIPVASQSNG APVSAGNGST APGTKAKEEA TKEVAEPQTT SLEELRELKG
900
901
VVKLQRRHEK ELRELERRGA RRWEELLQRG AAQLAELQDP AASCKLRPGK
950
951
GSRKKRIVPC EETIVVPREV LEGPDPRVQD LKDRLEQELQ QQGEEQYRSV
1000
1001
LKRKEQHVTE QIAKMMELAR EKQAAELKSF KETSETDTKE MKKKLEAKRL
1050
1051
ERIQAMTKVT TDKVAQERLK REINNSHIQE VVQAVKQMTE TLERHQEKLE
1100
1101
EKQTACLEQI QAMEKQFQEK ALAEYEAKMK GLEAEVKESM RACFKACFPT
1150
1151
EAEEKPERPC EASEESCPQE PLVNKTDTQE SRL                  
1183
 

Show the unformatted sequence.

Checksums:
CRC64:BA3AD63FE074A18C
MD5:41e4b2cee6d4551fe6d1a86c1da26385

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;