Q02TH2 AF NFT

Protein ApaG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiadzeo2v4sa3zxcaby4ezq6g4p3mczgjjlv3mp72oawmi3zhksgz4/metadata.json
IPFS of structure file: 
bafybeih42iefvhzbh442l67xzbctcvipgccatdagpuz3w2rwqdajgnalue/AF-Q02TH2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x92aBF7FbE5b4A62e611253Dd271820D19bCD91cc
First NFT owner address (bech32): 
genesis1j24l07l9kjnzucgj20wjwxpq6xdumywv33vtzj
Current NFT ID #17564 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
17564
Accession (UniProt):
Q02TH2
Name::
Protein ApaG
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN UCBPP-PA14)

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 Q02TH2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q02TH2|APAG_PSEAB Protein ApaG OS=Pseudomonas aeruginosa (strain UCBPP-PA14) OX=208963 GN=apaG PE=3 SV=1 MSDTQHQVNVRVDTRYLPEQSAPEQNRFAFAYTVTIENQGEVPAQLLSRHWIITDGDGRTQEVRGAGVVGEQPLIAPGAQHTYTSGTVLATRVGSMRGSYQMLGSDGIAFDAAIPVFRLAVPGALH