P63066 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6b6576odm3ml6uxeghmoxy7mg5nqvjiflhr3eeilxbanxs5saua/metadata.json
IPFS of structure file: 
bafybeigzmbwmrnw74txuol3swj2vmn5llll6yx6nkvdjjnxvub4duxe6fm/AF-P63066-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb0a2D657Af3Ac4FC3c0675DF7FC17dA77615d32E
First NFT owner address (bech32): 
genesis1kz3dv4a08tz0c0qxwh0hlsta5ampt5ew8c82zv
Current NFT ID #40158 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40158
Accession (UniProt):
P63066
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
Sapajus apella

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 P63066 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P63066|B2MG_SAPAP Beta-2-microglobulin OS=Sapajus apella OX=9515 GN=B2M PE=3 SV=1 MARFVVAALLVLLCLSGLEAIQHAPKIQVYSRHPAENGKPNFLNCYVSGFHPSDIEVDLLKNGKKIEKVEHSDLSFSKDWSFYLLYYTEFTPNEKDEYACRVSHVTFPTPKTVKWDRNM