Q9D162 AF NFT

Coiled-coil domain-containing protein 167

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieeujegzecuh5xtuadc43ckhx2dsrzdiqgbqrowl2j2323cunp6kq/metadata.json
IPFS of structure file: 
bafybeicclvxrxstzbapk5bkoq2ptl4kqsy7rcm5qqdqaigtdsmfrcndqza/AF-Q9D162-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9188600a0FCa2914254C94299b1bd9721Bc4D500
First NFT owner address (bech32): 
genesis1jxyxqzs0eg53gf2vjs5ekx7ewgduf4gquehckf
Current NFT ID #53727 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
53727
Accession (UniProt):
Q9D162
Name::
Coiled-coil domain-containing protein 167
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9D162 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9D162|CC167_MOUSE Coiled-coil domain-containing protein 167 OS=Mus musculus OX=10090 GN=Ccdc167 PE=1 SV=2 MTKKKRENLGVAQEIDGLEEKLSRCRKDLEAVTSQLYRAELSPEDRRSLEKEKHTLMNKASKYEKELKLLRHENRKNTLLSVAIFTVFALLYAYWTM