Q9ZUA9 AF NFT

PHD finger protein At2g01810

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic44rmfczzcjn6k5elbcrpapkej4gg3uivh5ghg7spsz7qx4zyly4/metadata.json
IPFS of structure file: 
bafybeidtulsnkrnkgb3rm4kmprzyk3hst2jf6lcdi5ppxiyk72vz4svzq4/AF-Q9ZUA9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x758850a3D7646b829972912E8A512268C74ceb66
First NFT owner address (bech32): 
genesis1wky9pg7hv34c9xtjjyhg55fzdrr5e6mxetvqgj
Current NFT ID #511282 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
511282
Accession (UniProt):
Q9ZUA9
Name::
PHD finger protein At2g01810
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 Q9ZUA9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZUA9|Y2181_ARATH PHD finger protein At2g01810 OS=Arabidopsis thaliana OX=3702 GN=At2g01810 PE=3 SV=1 MAITAYDALTERQKAPKVLLINDFAISSSSSSPPFFNLAATFRDNIRSFLREYAEIEDYTIDGATVSTIFLGSQANGVVFPLYIIEQQISDSSPNPLCDFCRCFGWGHHYVTKRKYHMIIPNRDEWNEPLKRESLTLSSHLMHGLIHCNGFGHLLCINTDLDDPNHLSGDQIMDFWDRLCSTLHTRKISLDDTSKKGAMDLRLLHGVAYGRPWFGKWDYMFSHGSFGVKKDLYWRAILTLSSIEVDKILEELSGTSKGRVMKKIIDFYRGSTESPLATLSDLLRFMLGFISKAPIERKTAMALVAMSLDHVSYPTLRADENSEVCTSPDQESDDNGYESGRDTVLDDHNTTTSGIKPPQYYSFDDLSRREHSRWPGRRLNDAAQAVLKVFKERNSTISRQDLREAVRSSIGDTGLIDFLLKHIDKVLIGDQIVQRSTNPKSRMLQFSLRTINSRVQEQKRKKKRKVKPQETSECTSTTPGLSPYDDILYLYQNLLLTYPDSDLYSEASQVILKCKSFVKEWSYQEQNHLTVSCQVLPNHEELLRDFTRLLPPGDLVAVPENATIRELKSAAEKVLRDTYCITETFEVLEIRNRYLEKLDDNVSLKSQGNTEFMVKGFGLDIGTELRYEGGFDDWTVDCKCGARDDDGERMVACDACKVWHHTLCNSIEDDEAVPSVFLCNMCYGDSLRSKKRNLSIR