O77517 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigf6mhujngurosig5nxbgtkxa3a76umypftrvfadrqrumaldrcieq/metadata.json
IPFS of structure file: 
bafybeiconhzbdigii6wgyoy2yqiqa5rjf2ul4blkk4h4zwmkusi27j5pim/AF-O77517-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2408F4f0b097Ba15266070a8515c295126130EC7
First NFT owner address (bech32): 
genesis1ysy0fu9sj7ap2fnqwz59zhpf2ynpxrk8ecgsqv
Current NFT ID #40152 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40152
Accession (UniProt):
O77517
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
Saguinus niger

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 O77517 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O77517|B2MG_SAGMN Beta-2-microglobulin OS=Saguinus niger OX=356665 GN=B2M PE=3 SV=1 MARFVVVPLFVLLSLFGLEAIQHPPKIQVYSRYPADNGKPNFLNCYVSGFHPSDIEVDLLKNGKKIEKVEHSDLSFSKDWSFYLLYYTEFTPNEKDEYACRVSHVTFSTPKTVKWDRNM