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: I1MN42_SOYBN (I1MN42)

Summary

This is the summary of UniProt entry I1MN42_SOYBN (I1MN42).

Description: Alpha-mannosidase {ECO:0000256|ARBA:ARBA00012752, ECO:0000256|RuleBase:RU361199}
Source organism: Glycine max (Soybean) (Glycine hispida) (NCBI taxonomy ID 3847)
Length: 1012 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
sig_p n/a 1 24
low_complexity n/a 4 16
Pfam Glyco_hydro_38N 42 356
low_complexity n/a 247 261
Pfam Alpha-mann_mid 361 453
transmembrane n/a 561 580
disorder n/a 588 600
Pfam Glyco_hydro_38C 605 820
disorder n/a 652 661
disorder n/a 669 674
disorder n/a 712 714
disorder n/a 724 728
disorder n/a 825 829
Pfam Glyco_hydro38C2 904 1009
disorder n/a 968 981
disorder n/a 984 986

Show or hide domain scores.

Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession I1MN42. 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
MGNLAAESLC ALLLLCFYGK LIVSAKYMKY NTGASIVPGK LNVHLVPHSH
50
51
DDVGWLKTID QYYVGSNNSI QGACVENVLD SVVVSLQKDP NRKFVFAEMA
100
101
FFHRWWVEQS PETQEQVRKL VDAGQLEFIN GGWCMHDEAA THYIDMIDQT
150
151
TLGHRFIKDQ FNKTPTVGWQ IDPFGHSAVQ AYLLGAELGF DSIHFARIDY
200
201
QDRAKRKADK SLEVVWRGSK TFGSSAQIFA NTFPVHYSAP NGFNFEVNNP
250
251
DVDVGPVQDD PLIFDYNVKQ RVKEFIDAAT TQANVTRTNH IMWTMGDDFQ
300
301
YQYAESWFKQ MDKLIHYVNK DGRVNALYST PSIYTNAKNA ANQLWPLKTD
350
351
DYFPYADSPN AYWTGYFTSR PALKRYVRML SGYYLAARQL EFLVGKQSTK
400
401
YNTYDLGDAL GIAQHHDAVS GTAKQHTTND YAKRLAIGAY EAEAVVSSSL
450
451
ACLTRKQSGD KCSTPASAFA QCQLLNISYC PPAEDNIPEA KSLVVVVYNP
500
501
LGWNRTDIVK IPVNDANLVV KDSSGNKLEV QYVDVDDVTT NLRKFYVKAY
550
551
VGVSPKQSPK YWLLFQVSVP PLGWSTYFIS KATRKGTRRK DLSHTNSQKG
600
601
DTINIGSGNL KMSFSSTSGQ LKRMYNSRTG VDIPIQQSYL WYGSSEGDSD
650
651
PQASGAYIFR PNGSPPNIVS RSVPTKVIRG PLVDEVHQKF SSWIYQVTRL
700
701
YKDKEHAEIE FTIGPIPTDD GVGKEVITRM TANMATNKEF YADSNGRDFL
750
751
KRVRDHREDW PLQVTQPVAG NYYPLNLGIY TKDEKSEFSV LVDRATGGAS
800
801
IKDGEVELML HRRILHDDSR GVGEPLDEQV CVNNNNTCEG LTVRGNYYIS
850
851
IHKLGVGSRW RRTTGQEIYS PFLVAFTHEI SENWKSSHLT KGTIMDPNYS
900
901
LPPNIALITL EELDGGIVLL RLAHLYERSE DAEYSTLTKV ELKKLFAMKT
950
951
IRELKEVSLS SNQEKSEMKR MTWKVEGDKG QEPQAVRGGP VSYHNLVVEL
1000
1001
GPMEIRTFLL KF                                         
1012
 

Show the unformatted sequence.

Checksums:
CRC64:CB40E20CC2D657B3
MD5:b2669463ad0be868fc8d2f42d4f9ef73

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;