Q95252 AF NFT

Beta-3 adrenergic receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeialamegpfeuemkx5kvqyxgljvprbwfaehfuxhoshm2ix7hab76hzu/metadata.json
IPFS of structure file: 
bafybeieieliw4b34cttwsxz6hag5m4pq25zrlzdhcffvcps757e3w6tnbi/AF-Q95252-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x30761E4269B140D1A43C0cF729113D5d800157D0
First NFT owner address (bech32): 
genesis1xpmpusnfk9qdrfpupnmjjyfatkqqz47sphmh09
Current NFT ID #10576 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
10576
Accession (UniProt):
Q95252
Name::
Beta-3 adrenergic receptor
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q95252 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95252|ADRB3_PIG Beta-3 adrenergic receptor OS=Sus scrofa OX=9823 GN=ADRB3 PE=2 SV=2 MAPWPQGNSSLPPRPDVSTLAPNNANTSGLPGVPWAVALAGALLAPAVLATVGGNLLVIVAIARTPRLQTMTNVFVTSLATADLVVGLLVVPPGTTLALTGHWPLGATCCELWTSVDVLCVTASIETLCALAVDRYLAVTNPLRYGALVTKRRARAAVVLVWVVSAAVSFAPIMSKWWRVGADAEAQRCHSNPSCCTFASNMPYALLSSSVSFYLPLLVMLFVYARVFVVATSQLRLLRWELSRFPPEESPPAPSRSQSPAPGRPWPSPAGVPSHGRRPARLLPLREHRALCTLGLIMGTFTLCWLPFFVVNVVRALGGPSLVPVPAFLALNWLGYANSAFNPLIYCHSPDFRSAFRRLLCRCGPEEHLAAASPPRAPSGAPETLTHPAESRQSPPLNEASWGLFRP