Q9SSW2 AF NFT

Zinc finger protein AZF2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib7vayisizz3wa4nmjgj3d57pkd3x73qylhhmysdl4uvmdpc6pbeu/metadata.json
IPFS of structure file: 
bafybeicetuxn2phnulhcshffr45gruqakkourynm7asrzmtjrzhofoqnmi/AF-Q9SSW2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe76d1Ea3BEE8E6A3aa098D4b8B154149F9d69310
First NFT owner address (bech32): 
genesis1uak3aga7arn282sf349ck92pf8uadycs7enz6x
Current NFT ID #39573 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
39573
Accession (UniProt):
Q9SSW2
Name::
Zinc finger protein AZF2
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 Q9SSW2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SSW2|AZF2_ARATH Zinc finger protein AZF2 OS=Arabidopsis thaliana OX=3702 GN=AZF2 PE=2 SV=1 MALEAMNTPTSSFTRIETKEDLMNDAVFIEPWLKRKRSKRQRSHSPSSSSSSPPRSRPKSQNQDLTEEEYLALCLLMLAKDQPSQTRFHQQSQSLTPPPESKNLPYKCNVCEKAFPSYQALGGHKASHRIKPPTVISTTADDSTAPTISIVAGEKHPIAASGKIHECSICHKVFPTGQALGGHKRCHYEGNLGGGGGGGSKSISHSGSVSSTVSEERSHRGFIDLNLPALPELSLHHNPIVDEEILSPLTGKKPLLLTDHDQVIKKEDLSLKI