Q9Z4N4 AF NFT

Microcin E492

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifmq4pf66uk7osgcgbdw5rfpxrjjcm4sgantylrzxu4vobyixsnoy/metadata.json
IPFS of structure file: 
bafybeidiowdtzqu2flkzslgbjjdc277mncqfa5abcutu2iydex2mfepo5e/AF-Q9Z4N4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2A8f96ac46C10A0B6ae8F3aAd2b72031d1746055
First NFT owner address (bech32): 
genesis1928edtzxcy9qk6hg7w4d9deqx8ghgcz4cw4asl
Current NFT ID #226178 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
226178
Accession (UniProt):
Q9Z4N4
Name::
Microcin E492
Experimental Method:
Predicted structure
Sequence source:
KLEBSIELLA PNEUMONIAE

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 Q9Z4N4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Z4N4|MCEA_KLEPN Microcin E492 OS=Klebsiella pneumoniae OX=573 GN=mceA PE=1 SV=2 MREISQKDLNLAFGAGETDPNTQLLNDLGNNMAWGAALGAPGGLGSAALGAAGGALQTVGQGLIDHGPVNVPIPVLIGPSWNGSGSGYNSATSSSGSGS