Q9WV24 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiajxwkzzasagr5w4daraypxwkntor6gsn2gntr2matl2ncejjor2q/metadata.json
IPFS of structure file: 
bafybeiaelbuzgnykais6bdmvpv4vgbe5bnynszwgv4x7r4dejgk5yrei3m/AF-Q9WV24-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x816B516Cd446dB1CAb3b8Ed3D0e41098ba7161A6
First NFT owner address (bech32): 
genesis1s944zmx5gmd3e2em3mfapeqsnza8zcdxepfhk6
Current NFT ID #40109 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40109
Accession (UniProt):
Q9WV24
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
CRICETULUS GRISEUS

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 Q9WV24 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9WV24|B2MG_CRIGR Beta-2-microglobulin OS=Cricetulus griseus OX=10029 GN=B2M PE=3 SV=1 MARSVAVVFLMLLSVVCLDAIQRPPQVQVYTRHPPEDGKTNFLNCYVSQFHPPQIEIELLKNGKKMDKVELSDLSFNKDWSFYLLAHTEFTPTATDKYACRVTHTTLKEPKVVTWERDM