Q5MGS7 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidk7wsbekrkvmvhk3vpmus6ryaiu42b645eyo4hkqyoxo7qtydg6y/metadata.json
IPFS of structure file: 
bafybeihvvnzj2yycjnhnuezejczcmgfly652z6vzrolhbjywdlawtud7wq/AF-Q5MGS7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x97265405D6859EE2a3BD1Ed52eC900D81e668aDa
First NFT owner address (bech32): 
genesis1jun9gpwksk0w9gaarm2jajgqmq0xdzk6e0y5ps
Current NFT ID #40115 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40115
Accession (UniProt):
Q5MGS7
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
FELIS CATUS

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 Q5MGS7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5MGS7|B2MG_FELCA Beta-2-microglobulin OS=Felis catus OX=9685 GN=B2M PE=1 SV=1 MARFVVLVLLGLLYLSHLDAVQHSPKVQVYSRHPAENGKPNFLNCYVSGFHPPQIDITLMKNGKKMEAEQTDLSFNRDWTFYLLVHTEFTPTVEDEYSCQVNHTTLSEPKVVKWDRDM