Q863A9 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidovfjtqwm2qv33hjvqg2ibl3d3fjmpi2irthqusmm4htd5uf7st4/metadata.json
IPFS of structure file: 
bafybeic4w2wdtahrs7ifkieew6g6unsqzprxt764p5d4pv3mytfhsd6yc4/AF-Q863A9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5716E0C0A2EB9DcC8eD670e047355BEe525753dE
First NFT owner address (bech32): 
genesis12utwps9zawwuerkkwrsywd2maef9w577knekhh
Current NFT ID #40114 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40114
Accession (UniProt):
Q863A9
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
Equus grevyi

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 Q863A9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q863A9|B2MG_EQUGR Beta-2-microglobulin OS=Equus grevyi OX=9792 GN=B2M PE=3 SV=1 MARVVALVLLGLLSLTGLEAVQRIPKVQVYSRHPAENGKPNFLNCYVSGFHPPEIEIDLLKNGEKMKVDRSDLSFSKDWSFYLLVHTDFTPNGVDEYSCRVQHSTLKEPLIVKWDRDL