Q9WV08 AF NFT

Apelin receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigbx6vb3w3npqdbc4i7iwb3pfhvhgcs6aocd4iyk4wz3k7npcvyfy/metadata.json
IPFS of structure file: 
bafybeiaog6v7rqlr7oyec7bczm2vdas622de2tsp32qgytfghpq7k4dpjm/AF-Q9WV08-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x865acfe44C28f1b23736f7fd8Da864CcBc33E693
First NFT owner address (bech32): 
genesis1sedvlezv9rcmydek7l7cm2ryej7r8e5n0hruh5
Current NFT ID #18328 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
18328
Accession (UniProt):
Q9WV08
Name::
Apelin 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 Q9WV08 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9WV08|APJ_MOUSE Apelin receptor OS=Mus musculus OX=10090 GN=Aplnr PE=1 SV=1 MEDDGYNYYGADNQSECDYADWKPSGALIPAIYMLVFLLGTTGNGLVLWTVFRTSREKRRSADIFIASLAVADLTFVVTLPLWATYTYREFDWPFGTFSCKLSSYLIFVNMYASVFCLTGLSFDRYLAIVRPVANARLRLRVSGAVATAVLWVLAALLAVPVMVFRSTDASENGTKIQCYMDYSMVATSNSEWAWEVGLGVSSTAVGFVVPFTIMLTCYFFIAQTIAGHFRKERIEGLRKRRRLLSIIVVLVVTFALCWMPYHLVKTLYMLGSLLHWPCDFDIFLMNVFPYCTCISYVNSCLNPFLYAFFDPRFRQACTSMLCCDQSGCKGTPHSSSAEKSASYSSGHSQGPGPNMGKGGEQMHEKSIPYSQETLVD