P63067 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifezppoolmgdce73a7c4oykryz77afn3fkxtilmhxtpdxwhrc7o3y/metadata.json
IPFS of structure file: 
bafybeidygotyosjqs6xiup3xqvja4idaejucb4qk3733dquuwllsxwyhjm/AF-P63067-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e7B5D87BCfF3f2778427eC04CAcD586303e4B9c
First NFT owner address (bech32): 
genesis1nea4mpaululjw7zz0mqyetx4sccrujuuxxf8qa
Current NFT ID #40103 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40103
Accession (UniProt):
P63067
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
Cebus olivaceus

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 P63067 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P63067|B2MG_CEBOL Beta-2-microglobulin OS=Cebus olivaceus OX=37295 GN=B2M PE=3 SV=1 MARFVVAALLVLLCLSGLEAIQHAPKIQVYSRHPAENGKPNFLNCYVSGFHPSDIEVDLLKNGKKIEKVEHSDLSFSKDWSFYLLYYTEFTPNEKDEYACRVSHVTFPTPKTVKWDRNM