Q92052 AF NFT

Gap junction gamma-1 protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicouh727yzp2t3i7wbstw2ku3tcz2jpnr62jdh6ik22zdiir5lopa/metadata.json
IPFS of structure file: 
bafybeidpxklra2hbbho2eilastvsmdwwfiyqj7yq5tj562kc2ukcxxpgpe/AF-Q92052-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x65b42577b5Bb934B59afF2aA701E1BA18026B799
First NFT owner address (bech32): 
genesis1vk6z2aa4hwf5kkd07248q8sm5xqzddue7ctvru
Current NFT ID #81879 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
81879
Accession (UniProt):
Q92052
Name::
Gap junction gamma-1 protein
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q92052 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92052|CXG1_DANRE Gap junction gamma-1 protein OS=Danio rerio OX=7955 GN=gjc1 PE=2 SV=1 MSWSFLTRLLDEISNHSTFVGKIWLTLFIIFRIVLTVVGGESIYYDEQSKFVCNTQQPGCENVCYDAFAPLSHVRFWVFQIILITTPTIMYLGFAMHKIARSNDVEYRPVNRKRMPMINRGRNRDYEEAEDNGEEDPMIMEEIVPEKEKAPEKSAVKHDGRRRIKRDGLMKVYILQLLSRIIFEVGFLFGQYILYGFEVAPSYVCTRSPCPHTVDCFVSRPTEKTIFLLIMYAVSCLCLSLTVLEILHLGLSGIRDAFRRRARHQSVQRPRAPICRQVPTAPPGYHTALKKDKLSLGMKPEYNLDSGRESFGDESSSRDIDRLRRHLKLAQQHLDLAYQNGESSPSRSSSPESNGTAVEQNRLNFAQEKQGSKCEKGIHA