Q9ZNQ7 AF NFT

Hydrophobic protein RCI2A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiblaqfsmdkekg6dcpjwwvc6bxgj342764m63rd6difoumor2rzb6a/metadata.json
IPFS of structure file: 
bafybeifpausti2ko7mzsluwx7hfcjnwbppcmd7lg2ilvaibk5vxtkys6ia/AF-Q9ZNQ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x40ceAE928a79502748126799cBFF9492DaA1C4BA
First NFT owner address (bech32): 
genesis1gr82ay5209gzwjqjv7vuhlu5jtd2r396jgklyw
Current NFT ID #335607 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
335607
Accession (UniProt):
Q9ZNQ7
Name::
Hydrophobic protein RCI2A
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 Q9ZNQ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZNQ7|RCI2A_ARATH Hydrophobic protein RCI2A OS=Arabidopsis thaliana OX=3702 GN=RCI2A PE=2 SV=1 MSTATFVDIIIAILLPPLGVFLRFGCGVEFWICLVLTLLGYIPGIIYAIYVLTK