Q9D123 AF NFT

Insulin-like growth factor-binding protein 3 receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicwpmfjqxxl5o6dvkcvuyi33qjd2ctleqd3zgc42gmy3op7suxaoy/metadata.json
IPFS of structure file: 
bafybeicbu7ligpt4rxg27roaz2izk4dlfwhd5uwh2ymv3f3mqe4yegap44/AF-Q9D123-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0723bE2dC4382812cA78809C938FA943Db470CDc
First NFT owner address (bech32): 
genesis1qu3mutwy8q5p9jncszwf8rafg0d5wrxu0w7uw0
Current NFT ID #467949 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
467949
Accession (UniProt):
Q9D123
Name::
Insulin-like growth factor-binding protein 3 receptor
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 Q9D123 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9D123|TM219_MOUSE Insulin-like growth factor-binding protein 3 receptor OS=Mus musculus OX=10090 GN=Tmem219 PE=2 SV=1 MGSCQAGHNLHLCLAHHPPLVCATLILLLLGLSGLGLGGFLLTHTTGLRSPDIPQDWVSFLRSFGQLSLCPMNETVTGTWQGPHVVGLLTTLNFGDGPDRNKTQTFQAKIHGSQIGLTGSSAGESVLVTARVASGRTPGTCLYFSGVPKVLPSSQPPISCSEEGVGNATLSPVMGEECVRVWSHERLVLTELLTSEELALCGSRVLGLGFFLVLLCGLLCCTTAVCFHPRPEFHWSRTRL