Q9IA97 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicgd2o3egstxpispx55w4jr5tqsy3a5s77wtfs2y7ve3sz5r2dsp4/metadata.json
IPFS of structure file: 
bafybeiad3w7gdapm75r7upu34whr6e4thtxan5xferikxzmpvbefw2aosu/AF-Q9IA97-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8c3620A532877ca1BDf102CC1189355ACB69dc82
First NFT owner address (bech32): 
genesis13smzpffjsa72r003qtxprzf4tt9knhyzq4d7lt
Current NFT ID #40163 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40163
Accession (UniProt):
Q9IA97
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q9IA97 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9IA97|B2MG_XENLA Beta-2-microglobulin OS=Xenopus laevis OX=8355 GN=b2m PE=1 SV=1 MKIALVLLSLLALTLAESNISPPVVKVYTAEPVDFGKTNEVICYVYNYHPPRLEMRLEKNGVEIPDCKQTDPSFQHNWKYYTTKSTHVHIDKGDKVECVVSHNGNPSKKYRLDIF