Q9DB42 AF NFT

Zinc finger protein 593

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib4pjgbrzydxaki5wtfgqgoi3jfudaisik2vawrzai7p46o2dbavm/metadata.json
IPFS of structure file: 
bafybeiawg5r767qdibdqa4nudtqrsvpomma3zpgwz6ajvgig2d7kiisuaq/AF-Q9DB42-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #541327 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541327
Accession (UniProt):
Q9DB42
Name::
Zinc finger protein 593
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 Q9DB42 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9DB42|ZN593_MOUSE Zinc finger protein 593 OS=Mus musculus OX=10090 GN=Znf593 PE=1 SV=2 MGRSRRTGAHRAHSLARQMKAKKRRPDLDEIHRELRPQGLPRPKPEPDAEPDPDLPGGGLHRCLACARYFIDSANLKTHFRSKDHKKRLKQLSVEPYSQEEAERAAGMGSYVQPQRLGVPTEVSTDIPEMDTST