P63070 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiafuxatrjkf56j263fqmwpw7q3aypxv6o6qipdfileg7v2k3tzbba/metadata.json
IPFS of structure file: 
bafybeifp525fxfu4pmbdk56xghnzt6mwj6empfh4n5eu7m7qxvnlgunbl4/AF-P63070-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8DA6C6750089f15EC3259e560D5B158356F5Ab08
First NFT owner address (bech32): 
genesis13knvvagq38c4ase9netq6kc4sdt0t2cgcwcnuz
Current NFT ID #40151 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40151
Accession (UniProt):
P63070
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
Saguinus midas midas

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 P63070 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P63070|B2MG_SAGMM Beta-2-microglobulin OS=Saguinus midas midas OX=78354 GN=B2M PE=3 SV=1 MARFVVVPLLVLLSLFGLEAIQHPPKIQVYSRYPADNGKPNFLNCYVSGFHPSDIEVDLLKNGKKIEKVEHSDLSFSKDWSFYLLYYTEFTPNEKDEYACRVSHVTFSTPKTVKWDRNM