Q8SPW0 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigzppqvhftzdustj7anohrrmzb66kpxro4et7pzbdzodg3irgxqhu/metadata.json
IPFS of structure file: 
bafybeidnwu76mb7e27uxh2ut6qyket5xgfbs4adeifdekrpx2s7dvewpee/AF-Q8SPW0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCDcd2ae6FFfEe65c58bCB4fbDb0EC2F69303385C
First NFT owner address (bech32): 
genesis1ehxj4ehllmn9ck9uknaakrkz76fsxwzugzxd52
Current NFT ID #40124 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40124
Accession (UniProt):
Q8SPW0
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
MACACA FASCICULARIS

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 Q8SPW0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8SPW0|B2MG_MACFA Beta-2-microglobulin OS=Macaca fascicularis OX=9541 GN=B2M PE=3 SV=1 MSPSVALAVLALLSLSGLEAIQRTPKIQVYSRHPPENGKPNFLNCYVSGFHPSDIEVDLLKNGEKMGKVEHSDLSFSKDWSFYLLYYTEFTPNEKDEYACRVNHVTLSGPRTVKWDRDM