Q8AXA0 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigoypabuye62bdy7tkbb5fzjgohjxpdvxzlaobgqi4zokq7r5ujem/metadata.json
IPFS of structure file: 
bafybeibroq4fvjky52vu7mqgq5yinicxr53aglahpwwazgzm7zmksmosmi/AF-Q8AXA0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa1a95302cDB6eA5Ac09242b094d773B9274bbE63
First NFT owner address (bech32): 
genesis15x54xqkdkm494syjg2cff4mnhyn5h0nre4k03u
Current NFT ID #40146 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40146
Accession (UniProt):
Q8AXA0
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
Raja eglanteria

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 Q8AXA0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8AXA0|B2MG_RAJEG Beta-2-microglobulin OS=Raja eglanteria OX=33514 GN=b2m PE=3 SV=1 MRALILLSLGLLRVAVPSPPQVVVYTYKPVVHGEKNTLLCHAKEFNPPNVELQLFEDGNVFSQANQTDLSFESNWKFKLTKFIELIPREDVEYSCHVMYMGKTSIYKLESF