Q9GKA2 AF NFT

Erythropoietin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaxqexdgu7ux6vwkp4sg4bk4apw4m3tchrmqopzq5iubu3lkfyixq/metadata.json
IPFS of structure file: 
bafybeigcxoogbuxzly725ge34xxfxa36sn7vleuqjgccb6r67qhm4qvbd4/AF-Q9GKA2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x661f92Fc5950020C7aB410B5F5b9a3f429F49Ae5
First NFT owner address (bech32): 
genesis1vc0e9lze2qpqc745zz6ltwdr7s5lfxh9yetntg
Current NFT ID #118971 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
118971
Accession (UniProt):
Q9GKA2
Name::
Erythropoietin
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 Q9GKA2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9GKA2|EPO_RABIT Erythropoietin OS=Oryctolagus cuniculus OX=9986 GN=EPO PE=2 SV=2 MGVRGRLALLPLALLCLLVLALGLPVLGAPARLICDSRVLERYILEAKEAENVTMGCAEGCSLGENITVPDTKVNFHHWKKSEAGRHAVEVWQGLALLSEAMLRSQALLANSSQLPETLQVHVDKAVSGLRSLTSLLRALGVQKEAVSPPEAASSAAPLRTVAADTLCKLFRIYSNFLRGKLKLYTGEACRRGDR