Q9ZK53 AF NFT

Flavodoxin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig6cbx2d5hk2zqndw6mmxkirrqhbfwb6vsrqlrdr3o5bmcxeugjou/metadata.json
IPFS of structure file: 
bafybeiglhcyr2olm472a4ffbl6c34mztfzovrx4k7p5gjhz5xrlfbs5m54/AF-Q9ZK53-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x04Abc94644f002885c8999456744b144a9092D1d
First NFT owner address (bech32): 
genesis1qj4uj3jy7qpgshyfn9zkw393gj5sjtga7apcur
Current NFT ID #131283 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
131283
Accession (UniProt):
Q9ZK53
Name::
Flavodoxin
Experimental Method:
Predicted structure
Sequence source:
HELICOBACTER PYLORI (STRAIN J99 / ATCC 700824)

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 Q9ZK53 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZK53|FLAV_HELPJ Flavodoxin OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=fldA PE=1 SV=1 MGKIGIFFGTDSGNAEAIAEKISKAIGNAEVIDVAKASKEQFNGFTKVILVAPTAGAGDLQTDWEDFLGTLEASDFANKTIGLVGLGDQDTYSETFAEGIFHIYEKAKAGKVVGQTPTDGYHFEASKAVEGGKFVGLVIDEDNQDDLTDERIAKWVEQVKGSFA