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: ARHG1_RAT (Q9Z1I6)

Summary

This is the summary of UniProt entry ARHG1_RAT (Q9Z1I6).

Description: Rho guanine nucleotide exchange factor 1
Source organism: Rattus norvegicus (Rat) (NCBI taxonomy ID 10116)
Length: 919 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
disorder n/a 1 8
low_complexity n/a 5 13
disorder n/a 29 48
Pfam RGS-like 40 230
disorder n/a 197 211
disorder n/a 228 231
disorder n/a 234 404
disorder n/a 406 407
disorder n/a 410 411
Pfam RhoGEF 418 601
Pfam PH_16 630 758
low_complexity n/a 667 676
disorder n/a 685 705
disorder n/a 760 801
low_complexity n/a 763 787
disorder n/a 837 873
low_complexity n/a 844 862
coiled_coil n/a 865 888
low_complexity n/a 867 878
low_complexity n/a 882 888
disorder n/a 906 919

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession Q9Z1I6. 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
MGEVAGGAAP GPPRSGLVSI IIGAEDEDFE NELEANPEDQ NSQFQSLEQV
50
51
KRRPAHLMAL LQHVALQFEP GPLLCCLHAD MLSSLGPKEA KKAFLDFYHS
100
101
FLEKTAVLRV PVPPSVAFEL DRTRPDLISE DVQRRFIQEV VQSQQAAVTR
150
151
QLEDFRSKRL MGMTPWEQEL SLLEPWIGKD RGNYEARERH VAERLLSHLE
200
201
EMQHTISTDE EKSAAVVTAI SLYMRHLGVR TKSGDKKSGR NFFRKKVMGN
250
251
RRSDEPPKTK KGLSSILDPA RWNRGEPSAP DCRHLKVEVD EKPGPADRKG
300
301
SLGISSRDRT VGTPGQDNPG VSLHPLSVDS LDSREPGVDT PQEPGDTPPQ
350
351
GPTSLEPLAP PESTEDNGET ESPEPGDDGE PGRSGLEQEP EEPPGWRELV
400
401
PSDTLLGLPK NQVKRQEVIS ELLVTEAAHV RMLRVLHDLF YQPMAEGGFF
450
451
PLEELQNIFP SLDELIEVHS LFLDRLMKRR QESGYLIEEI GDVLLARFDG
500
501
AEGSWFQKIS SRFCSRQSFA LEQLKAKQRK EPRFCAFVQE AESRPRCRRL
550
551
QLKDMIPTEM QRLTKYPLLL QSIGQNTEEP AERAKVELAA ECCREILHHV
600
601
NQAVRDMEDL LRLKDYQRRL DLTHLRQSND PMLSEFKNLD ITKKKLVHEG
650
651
PLTWRLTKDK AVEVHVLLLD DLLLLLQRQD EGCCSSHTSR TLTPTPDGKT
700
701
MLRPVLRLTS AMTREVATDH KAFYVIFTWD QEAQIYELVA QTSSERKSWC
750
751
ALITETAGSL KVPAPASRPK PRPSPSSTRE PLLSSSENGT GGTEAAPADA
800
801
RTERILNDLL PFCRPGPEGQ LAATALQKVL SLKQILLSTE EDSGAGPPRD
850
851
GDGVPGGGAP GPTHTQEVEE NLLSLEVVIK QLEELEEEFC RLRPFLSQLG
900
901
EILSPNLAAP ERSAQTGLS                                  
919
 

Show the unformatted sequence.

Checksums:
CRC64:CF328CD2587717F8
MD5:81ad6748e3573b4ebae96a4a7a1313c8

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;