Q6V7J5 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif6d2wguf6p5wgrdi2qpvavxncxdw2l2rzv3llqqdu5u5r44avwqe/metadata.json
IPFS of structure file: 
bafybeigdblwtcl72opoixs56ga4kshcyvvm5limffyozgco6ec2j5hktsa/AF-Q6V7J5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0C565B44183A2EdEAd47c93586302667F007a919
First NFT owner address (bech32): 
genesis1p3t9k3qc8ghdat28ey6cvvpxvlcq02geue8x4l
Current NFT ID #40125 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40125
Accession (UniProt):
Q6V7J5
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
MACACA MULATTA

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 Q6V7J5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6V7J5|B2MG_MACMU Beta-2-microglobulin OS=Macaca mulatta OX=9544 GN=B2M PE=1 SV=1 MSRSVALAVLALLSLSGLEAIQRTPKIQVYSRHPPENGKPNFLNCYVSGFHPSDIEVDLLKNGEKMGKVEHSDLSFSKDWSFYLLYYTEFTPNEKDEYACRVNHVTLSGPRTVKWDRDM