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0  structures 1  species 0  interactions 1  sequence 1  architecture

Protein: Y102_MYCTU (P9WM63)

Summary

This is the summary of UniProt entry Y102_MYCTU (P9WM63).

Description: Uncharacterized protein Rv0102
Source organism: Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) (NCBI taxonomy ID 83332)
Length: 661 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 2
disorder n/a 5 13
transmembrane n/a 27 48
transmembrane n/a 68 88
low_complexity n/a 72 84
transmembrane n/a 109 130
Pfam CopD 110 234
transmembrane n/a 156 173
transmembrane n/a 180 198
low_complexity n/a 183 199
transmembrane n/a 210 231
transmembrane n/a 243 266
low_complexity n/a 251 264
transmembrane n/a 278 299
low_complexity n/a 304 333
transmembrane n/a 311 331
transmembrane n/a 370 389
Pfam Caa3_CtaG 380 625
transmembrane n/a 401 419
transmembrane n/a 439 460
low_complexity n/a 442 451
transmembrane n/a 481 502
transmembrane n/a 522 540
transmembrane n/a 552 581
transmembrane n/a 601 623
disorder n/a 633 634

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Sequence information

This is the amino acid sequence of the UniProt sequence database entry with the accession P9WM63. 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
MGTHGATKSA TSAVPTPRSN SMAMVRLAIG LLGVCAVVAA FGLVSGARRY
50
51
AEAGNPYPGA FVSVAEPVGF FAASLAGALC LGALIHVVMT AKPEPDGLID
100
101
AAAFRIHLLA ERVSGLWLGL AATMVVIQAA HDTGVGPARL LASGALSDSV
150
151
AASEMARGWI VAAICALVVA TALRLYTRWL GHVVLLVPTV LAVVATAVTG
200
201
NPGQGPDHDY ATSAAIVFAV AFATLTGLKI AAALAGTTPS RAVLVTQVTC
250
251
GALALAYGAM LLYLFIPGWA VDSDFARLGL LAGVILTSVW LFDCWRLLVR
300
301
PPHAGRRRGG GSGAALAMMA AMASIAAMAV MTAPRFLTHA FTAWDVFLGY
350
351
ELPQPPTIAR VLTVWRFDSL IGAAGVVLAI GYAAGFAALR RRGNSWPVGR
400
401
LIAWLTGCAA LVFTSGSGVR AYGSAMFSVH MAEHMTLNMF IPVLLVLGGP
450
451
VTLALRVLPV TGDGRPPGAR EWLTWLLHSR VTTFLSHPIT AFVLFVASPY
500
501
IVYFTPLFDT FVRYHWGHEF MAIHFLVVGY LFYWAIIGID PGPRRLPYPG
550
551
RIGLLFAVMP FHAFFGIALM TMSSTVGATF YRSVNLPWLS SIIADQHLGG
600
601
GIAWSLTELP VIMVIVALVT QWARQDRRVA SREDRHADSD YADDELEAYN
650
651
AMLRELSRMR R                                          
661
 

Show the unformatted sequence.

Checksums:
CRC64:68B3BB57D0066C57
MD5:750427edbb4b428cce1e90f72cd120b2

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;