Q9ZWA6 AF NFT

Zinc finger protein MAGPIE

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiheg3eeu56wx6eycp7sblagcn7ar4b3owpo35h6k4r7wbvh7s6nay/metadata.json
IPFS of structure file: 
bafybeicuwivfnvv4wkcmobrk5hsbfo4b3rbv7fq7ytw3zzb74p6fylwz6q/AF-Q9ZWA6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8B92Bd74641E044e3757c62dbb76d73B01b808bE
First NFT owner address (bech32): 
genesis13wft6aryrczyud6hcckmkakh8vqmsz976aau4a
Current NFT ID #183541 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
183541
Accession (UniProt):
Q9ZWA6
Name::
Zinc finger protein MAGPIE
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 Q9ZWA6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZWA6|IDD3_ARATH Zinc finger protein MAGPIE OS=Arabidopsis thaliana OX=3702 GN=MGP PE=1 SV=1 MTTEDQTISSSGGYVQSSSTTDHVDHHHHDQHESLNPPLVKKKRNLPGNPDPEAEVIALSPKTLMATNRFLCEICGKGFQRDQNLQLHRRGHNLPWKLKQRTSKEVRKRVYVCPEKSCVHHHPTRALGDLTGIKKHFCRKHGEKKWKCEKCAKRYAVQSDWKAHSKTCGTREYRCDCGTIFSRRDSFITHRAFCDALAEETARLNAASHLKSFAATAGSNLNYHYLMGTLIPSPSLPQPPSFPFGPPQPQHHHHHQFPITTNNFDHQDVMKPASTLSLWSGGNINHHQQVTIEDRMAPQPHSPQEDYNWVFGNANNHGELITTSDSLITHDNNINIVQSKENANGATSLSVPSLFSSVDQITQDANAASVAVANMSATALLQKAAQMGATSSTSPTTTITTDQSAYLQSFASKSNQIVEDGGSDRFFASFGSNSVELMSNNNNGLHEIGNPRNGVTVVSGMGELQNYPWKRRRVDIGNAGGGGQTRDFLGVGVQTICHSSSINGWI