Q6QAT4 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia2rreyc23ogh6czgewqab36yokbngwc26qotavcwnlpyi4nwuewe/metadata.json
IPFS of structure file: 
bafybeigycjmkxuqyf2fayozkxr6m3uzq5tkgs7x3ryugauu43hva3qkrne/AF-Q6QAT4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x87dF0a0F837fB48431e1E24dE4e437FC0A6743Aa
First NFT owner address (bech32): 
genesis1sl0s5rur076ggv0pufx7fephls9xwsa26ln5yf
Current NFT ID #40159 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40159
Accession (UniProt):
Q6QAT4
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
OVIS ARIES

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 Q6QAT4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6QAT4|B2MG_SHEEP Beta-2-microglobulin OS=Ovis aries OX=9940 GN=B2M PE=3 SV=1 MAVSAALVLLGLLSLSGLDAIQRIPEVQVYSRHPPEDGKPNYLNCYVYGFHPPQIEIDLLKNGEKIKSEQSDLSFSKDWSFYLLSHAEFTPNSKDQYSCRVNHVTLTQPKIVKWDRDL