Q9CQM2 AF NFT

ER lumen protein-retaining receptor 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicdkjqryktbdijk55rfpg2dkbxqv27vwmtrgqbv3jrw6wqwgaw3ce/metadata.json
IPFS of structure file: 
bafybeichh6fb6h2elkkmnzf6inbqqosloztnnhc4s6abt4atuq3j3oqv2m/AF-Q9CQM2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3048035c88f5559a84b15475ED6c0013b3E8bF25
First NFT owner address (bech32): 
genesis1xpyqxhyg742e4p9323676mqqzwe730e9qezsxd
Current NFT ID #119534 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
119534
Accession (UniProt):
Q9CQM2
Name::
ER lumen protein-retaining receptor 2
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q9CQM2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CQM2|ERD22_MOUSE ER lumen protein-retaining receptor 2 OS=Mus musculus OX=10090 GN=Kdelr2 PE=1 SV=1 MNIFRLTGDLSHLAAIVILLLKIWKTRSCAGISGKSQLLFALVFTTRYLDLFTSFISLYNTSMKLIYIACSYATVYLIYMKFKATYDGNHDTFRVEFLVVPVGGLSFLVNHDFSPLEILWTFSIYLESVAILPQLFMISKTGEAETITTHYLFFLGLYRALYLVNWIWRFYFEGFFDLIAVVAGVVQTILYCDFFYLYITKVLKGKKLSLPA