Q07717 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid6geutqhvsitwybvx4zxqjyic7d7e66gudcelanwpdsh2ijutznq/metadata.json
IPFS of structure file: 
bafybeihpogymyvuwdoiuoypd4d3g6gk3avin7aeffwceudnk72ljaxkii4/AF-Q07717-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x864cA926416301AABc2d76b08077e6786c9F3707
First NFT owner address (bech32): 
genesis1sex2jfjpvvq640pdw6cgqalx0pkf7dc8xq8clh
Current NFT ID #40140 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40140
Accession (UniProt):
Q07717
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q07717 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q07717|B2MG_PIG Beta-2-microglobulin OS=Sus scrofa OX=9823 GN=B2M PE=1 SV=1 MAPLVALVLLGLLSLSGLDAVARPPKVQVYSRHPAENGKPNYLNCYVSGFHPPQIEIDLLKNGEKMNAEQSDLSFSKDWSFYLLVHTEFTPNAVDQYSCRVKHVTLDKPKIVKWDRDH