P01887 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicyjjfa4q4nzviixwijxa5x3hta3fudienlrpgzgmtphmfglnunsy/metadata.json
IPFS of structure file: 
bafybeihyhk5qherwli2ue53yjhk6ewglhasbcihyi3oaanqnjppe45oo6e/AF-P01887-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #40131 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40131
Accession (UniProt):
P01887
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 P01887 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P01887|B2MG_MOUSE Beta-2-microglobulin OS=Mus musculus OX=10090 GN=B2m PE=1 SV=2 MARSVTLVFLVLVSLTGLYAIQKTPQIQVYSRHPPENGKPNILNCYVTQFHPPHIEIQMLKNGKKIPKVEMSDMSFSKDWSFYILAHTEFTPTETDTYACRVKHASMAEPKTVYWDRDM