O77521 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigvxhhnlaqtn3itpj6wfgnojikcxawql7di6pq2qycxp5vxydjfta/metadata.json
IPFS of structure file: 
bafybeifeeh6knbw52udg557dxo74stoeqnsfvtzkhq2cpcd4o3bsbyr5da/AF-O77521-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3Fb036B69Ae373B7B8D5715E6f811A5c94260042
First NFT owner address (bech32): 
genesis187crdd56udem0wx4w90xlqg6tj2zvqzzejcqxe
Current NFT ID #40128 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
40128
Accession (UniProt):
O77521
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
Mico emiliae

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 O77521 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O77521|B2MG_MICEM Beta-2-microglobulin OS=Mico emiliae OX=48842 GN=B2M PE=3 SV=1 MACSVVVALLALLSLSGLEAIQHAPKIQVYSRHPAENGKPNFLNCYVSGFHPSDIEVDLLKNGKKIEKVEHSDLSFSKDWSFYLLYYTEFTPNEKDEYACRVSHVTFSTPKTVKWDRNI