Q9GKM2 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiak2jyj7at62c2ehwrgfnemhn2jaiyvced2zrg4p7yxjf7dbpuwjm/metadata.json
IPFS of structure file: 
bafybeidmlfkrdgzifmpsnry3b4pjn2ufqkdnwpceddybvpge6h6q2ygqpm/AF-Q9GKM2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #40162 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40162
Accession (UniProt):
Q9GKM2
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
TRICHOSURUS VULPECULA

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 Q9GKM2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9GKM2|B2MG_TRIVU Beta-2-microglobulin OS=Trichosurus vulpecula OX=9337 GN=B2M PE=2 SV=1 MMARIFILALLGQLCFLPYLDAITSSPKVQVYSRHPVDSNKENFVNCFVSGFHPPQITIELSKDGEKIPKVEESDLSFSNDWTFNRLVSAPFDPNSRSEYTCKVTHLTLQEPKVVKWDPENN