Q8CIQ3 AF NFT

Beta-2-microglobulin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiel7zzgtytfreamcnvhfotoqdwt4cg6udmyxy7caggezpcdjeoexa/metadata.json
IPFS of structure file: 
bafybeibyokvao4npyyluutzt3kbksu4dpdx5fiw76mtqcxtrm4b5owpncy/AF-Q8CIQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC29de81a61aaA258d315f09cc8A868dd942DA167
First NFT owner address (bech32): 
genesis1c2w7sxnp423935c47zwv32rgmk2zmgt8d0hgpp
Current NFT ID #40160 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
40160
Accession (UniProt):
Q8CIQ3
Name::
Beta-2-microglobulin
Experimental Method:
Predicted structure
Sequence source:
Sigmodon hispidus

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 Q8CIQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8CIQ3|B2MG_SIGHI Beta-2-microglobulin OS=Sigmodon hispidus OX=42415 GN=B2M PE=3 SV=1 MARTVATFFLMLVSLACLDAIERPPQVQVYTRHPPENGKTNFLNCYVSQFHPPHIEIELLKNGKKIEKVEMSDLSFSKDWTFYLLAHTEFTPTANDKYACRVSHVTLKEPKVVTWERDM