Q0WP96 AF NFT

Protein PGR

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifwi7ec7pxczd63pm54sgz6dt3i6jww2rhmxpjblxm6722q3jzism/metadata.json
IPFS of structure file: 
bafybeihnpjjatou7tqjn3vlhl4p3ckhk5ii6tahvkffjucdmddzfnwktwu/AF-Q0WP96-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x14905748151782814d1AA807Ec0342Dd8879634b
First NFT owner address (bech32): 
genesis1zjg9wjq4z7pgzng64qr7cq6zmky8jc6tmr2cl2
Current NFT ID #297267 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
297267
Accession (UniProt):
Q0WP96
Name::
Protein PGR
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 Q0WP96 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0WP96|PGR_ARATH Protein PGR OS=Arabidopsis thaliana OX=3702 GN=PGR PE=2 SV=1 METSPQFRLIFAVIISSLIAFRSYKRKSLDLSGGIAGFLVMTIHFTAGFRYGALLLVFFLTSSKLTKVGEDKKRRVDVEFKEGGQRNWVQVLCNSGIASVLVVIACTLTGWKDKCLDSKQSEIVTALIGGIIGHYACCNGDTWSSELGVLSDAQPRLITTFKPVKKGTNGGVTKAGLLAALAAGTTVGLTFLIFGLFTASCASDVALKQLLVIPLSALAGLCGSLIDSILGATIQFSGFCSVRNKVVGKPGPTVKKISGVDILDNNGVNFVSILLTSFLTSIASVYIF