Q6UN27 AF NFT

Translocator protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih3y5javiqgywfeyd6khwbkgiplc34jj6u5cgmkgv33whskxo6tpu/metadata.json
IPFS of structure file: 
bafybeibx7ikcnqeqojqqp74rhjmj276l5biffvjiaft4sai5jepsl4v23a/AF-Q6UN27-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf888b9Eb33b3D29f5324F6C2eFA834AaB9631EAf
First NFT owner address (bech32): 
genesis1lzytn6enk0ff75ey7mpwl2p542ukx840s08330
Current NFT ID #481170 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
481170
Accession (UniProt):
Q6UN27
Name::
Translocator protein
Experimental Method:
Predicted structure
Sequence source:
SUS SCROFA

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 Q6UN27 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6UN27|TSPO_PIG Translocator protein OS=Sus scrofa OX=9823 GN=TSPO PE=2 SV=1 MAPPWLPAVGFTLVPSLGGFLSSRNVLGKGLHWYAGLQKPSWHPPHWTLAPIWGTLYSAMGYGSYMIWKELGGFSEEAVVPLGLYAGQLALNWAWPPLFFGARQMGWALVDLVLTGGVAAATAVAWYQVSPLAARLLYPYLAWLAFAATLNYCVWRDNQGRRGGRRPSE