Q04714 AF NFT

Beta-2-microglobulin (Fragment)

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiazy5zubj4s7akzei3sig2igs3qrcav4z2lcx3hlq6j2osn57fxey/metadata.json
IPFS of structure file: 
bafybeig7z3bofvgujtz7f4rsx6gixxf53p2kns7yr5qbvzqujtzzkyygtq/AF-Q04714-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF3b04d65F1aD0058771B149FB8BD62b3934a8918
First NFT owner address (bech32): 
genesis17wcy6e0345q9sacmzj0m30tzkwf54zgc6ld2gp
Current NFT ID #40134 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
40134
Accession (UniProt):
Q04714
Name::
Beta-2-microglobulin (Fragment)
Experimental Method:
Predicted structure
Sequence source:
MUS SPRETUS

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 Q04714 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q04714|B2MG_MUSSP Beta-2-microglobulin (Fragment) OS=Mus spretus OX=10096 GN=B2m PE=3 SV=1 RPQIQVYSRHPPENGKPNILNCYVTQFHPPQIEIQMLKNGEIIPKVEMSDLSFSKDWSFYILAHTEFTPTETDQYACRVNHVSMDKPMTVNW