P16213 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib7uot2bx4vhoiylgjcrd4jicjxzz6y4mqaxmhaosv2xodxcb7slq/metadata.json
IPFS of structure file: 
bafybeihrsq5vwqt44ves6tbeyyv3ixechtq76vodl6sgbh4bby5rv53iwu/AF-P16213-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #40144 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40144
Accession (UniProt):
P16213
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
Pongo pygmaeus

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 P16213 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P16213|B2MG_PONPY Beta-2-microglobulin OS=Pongo pygmaeus OX=9600 GN=B2M PE=3 SV=2 MSRSVALAVLALLSLSGLEAIQRTPKIQVYSRHPAENGKSNFLNCYVSGFHPSDIEVDLLKNGERIEKVEHSDLSFSKDWSFYLLYYTEFTPTEKDEYACRVNHVTLSQPKIVKWDRDM