Q05394 AF NFT

fMet-Leu-Phe receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaeuymcvx5fgk4y25udv2xdeou5ojnfotgi6ik23idhgafdxnrmsu/metadata.json
IPFS of structure file: 
bafybeihdtc56murutler7shw5eh7eedxegfylvwudscobpgkjes5ogxpda/AF-Q05394-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1eBb44B6c577425B34b37Db0713609C3BAfA8e9a
First NFT owner address (bech32): 
genesis1r6a5fdk9wap9kd9n0kc8zdsfcwa04r560ulxup
Current NFT ID #135761 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
135761
Accession (UniProt):
Q05394
Name::
fMet-Leu-Phe receptor
Experimental Method:
Predicted structure
Sequence source:
ORYCTOLAGUS CUNICULUS

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 Q05394 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q05394|FPR1_RABIT fMet-Leu-Phe receptor OS=Oryctolagus cuniculus OX=9986 GN=FPR1 PE=2 SV=1 MDSNASLPLNVSGGTQATPAGLVVLDVFSYLILVVTFVLGVLGNGLVIWVTGFRMTHTVTTISYLNLALADFSFTSTLPFFIVTKALGGHWPFGWFLCKFVFTIVDINLFGSVFLIALIALDRCICVLHPVWAQNHRNVSLAKKVIVGPWICALLLTLPVIIRVTTLSHPRAPGKMACTFDWSPWTEDPAEKLKVAISMFMVRGIIRFIIGFSTPMSIVAVCYGLIATKIHRQGLIKSSRPLRVLSFVVASFLLCWSPYQIAALIATVRIRELLLGMGKDLRIVLDVTSFVAFFNSCLNPMLYVFMGQDFRERLIHSLPASLERALSEDSAQTSDTGTNSTSAPAEAELQAI