Q9FNZ2 AF NFT

Zinc finger CCCH domain-containing protein 48

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiea4l3kdvujzauvdkrjsxeif2bfmo5o762qaba2fvgcyqmhwryssy/metadata.json
IPFS of structure file: 
bafybeigzrgvqq64rsbx5grj25fifccoekijn7at2mbyrd72c7evvjfjh7i/AF-Q9FNZ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf49aEE1AA6fb3366CE362270cE160921093C19FD
First NFT owner address (bech32): 
genesis17jdwux4xlvekdn3kyfcvu9sfyyyncx0ats94p3
Current NFT ID #47967 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
47967
Accession (UniProt):
Q9FNZ2
Name::
Zinc finger CCCH domain-containing protein 48
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9FNZ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FNZ2|C3H48_ARATH Zinc finger CCCH domain-containing protein 48 OS=Arabidopsis thaliana OX=3702 GN=ZFWD1 PE=2 SV=1 MDLDMNGGNKRVFQRLGGGSNRPTTDSNQKVCFHWRAGRCNRYPCPYLHRELPGPGSGPVAASSNKRVADESGFAGPSHRRGPGFSGTANNWGRFGGNRTVTKTEKLCKFWVDGNCPYGDKCRYLHCWSKGDSFSLLTQLDGHQKVVTGIALPSGSDKLYTASKDETVRIWDCASGQCTGVLNLGGEVGCIISEGPWLLVGMPNLVKAWNIQNNADLSLNGPVGQVYSLVVGTDLLFAGTQDGSILVWRYNSTTSCFDPAASLLGHTLAVVSLYVGANRLYSGAMDNSIKVWSLDNLQCIQTLTEHTSVVMSLICWDQFLLSCSLDNTVKIWAATEGGNLEVTYTHKEEYGVLALCGVHDAEAKPVLLCSCNDNSLHLYDLPSFTERGKILAKQEIRSIQIGPGGIFFTGDGSGQVKVWKWSTESTPILS