Q80V23 AF NFT

Zinc finger protein 32

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeickn2tv6cwmtnnvij3bwxjsbbvmlrqxfo2qlxpoo4yt6hbadj5tfy/metadata.json
IPFS of structure file: 
bafybeiajt3uufaxf4rllh6iawk6nsvf6vc3ztr232yr3furna4hgf62k5y/AF-Q80V23-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaa53776A41fB2e67da75A96E8a53746b6874aAB4
First NFT owner address (bech32): 
genesis14ffhw6jplvhx0kn449hg55m5dd58f245h56u30
Current NFT ID #541638 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541638
Accession (UniProt):
Q80V23
Name::
Zinc finger protein 32
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 Q80V23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q80V23|ZNF32_MOUSE Zinc finger protein 32 OS=Mus musculus OX=10090 GN=Znf32 PE=2 SV=1 MFGFPTATLLDCHGRYAQNVAFFNVMTEAHKYDPSEATGSSSWDFQSSFRREKLEQKSPESKALQEDSPGVRQKVYDCQECGKSFRQKGSLTLHERIHTGQKPFECTQCGKSFRAKGNLVTHQRIHTGEKPYQCKECGKSFSQRGSLAVHERLHTGQKPYECAICQRSFRNQSNLAVHRRVHSGEKPYRCDQCGKAFSQKGSLIVHIRVHTGLKPYACSHCRKSFHTRGNCLLHGKVHTGETPYLCGQCGKSFTQRGSLAVHQRSCSQRLTL