Q6T672 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid4eqvt5pkcdcloqdgfiqyybx5v5udkvsz6ghvdkowuozxidpaqg4/metadata.json
IPFS of structure file: 
bafybeie6uqv6dbgno5faup4tiua6h2pdx5tni2mm7ko4jwsv5utc4mccha/AF-Q6T672-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xedc07A86dE46108e804E3E81e5b0cAF1692Cf5cF
First NFT owner address (bech32): 
genesis1ahq84pk7gcggaqzw86q7tvx2795jeaw0d29yey
Current NFT ID #40138 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40138
Accession (UniProt):
Q6T672
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
Papio anubis

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 Q6T672 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6T672|B2MG_PAPAN Beta-2-microglobulin OS=Papio anubis OX=9555 GN=B2M PE=3 SV=1 MSRSVALAVLALLSLSGLEAIQRTPKIQVYSRHPPENGKPNFLNCYVSGFHPSDIEVDLLKNGEKMGKVEHSDLSFSKDWSFYLLYYTEFTPNEKDEYACRVNHVTLSGPRTVKWDRDM