Q71UN7 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4rdd4w5ckpyw2hm57irxp7x7cmehcvdquekm2pamev4qrmxxyp4/metadata.json
IPFS of structure file: 
bafybeibwt6oz3j4u5ef7j5p7e7qdva5y3tqlshwez7dxxii5jdj5jps3je/AF-Q71UN7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #40157 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40157
Accession (UniProt):
Q71UN7
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
Saimiri ustus

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 Q71UN7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q71UN7|B2MG_SAIUS Beta-2-microglobulin OS=Saimiri ustus OX=66265 GN=B2M PE=3 SV=1 MARSVVAALLVLLSLSGLEAIQHAPKIQVYSRHPAENGKPNYLNCYVSGFHPSDIEVDLLKNGQKIENVEHSDLSFSKDWSFYLLYYTEFTPNEKDEYACRVSHVTFPTPKTVKWDRNM