P22904 AF NFT

Uncharacterized 9.0 kDa protein in mobE 3'region

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifgtanpmrq6qa6wwcu37hsev4dysr6mverclhwwp3wpmhjppq3oyi/metadata.json
IPFS of structure file: 
bafybeihqav5xovx3sykpxh3hlfegfjykts4sjku4rsvluw7xou5r6xvgya/AF-P22904-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9B130d619fCFc21d0D08E5Ce38Cf42A5fbe230CB
First NFT owner address (bech32): 
genesis1nvfs6cvlelpp6rgguh8r3n6z5ha7yvxthx8q26
Current NFT ID #534667 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
534667
Accession (UniProt):
P22904
Name::
Uncharacterized 9.0 kDa protein in mobE 3'region
Experimental Method:
Predicted structure
Sequence source:
ACIDITHIOBACILLUS FERROOXIDANS

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 P22904 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P22904|YME3_ACIFR Uncharacterized 9.0 kDa protein in mobE 3'region OS=Acidithiobacillus ferrooxidans OX=920 PE=4 SV=1 MTTKRKVEVFSAGCPSCQTAIELVNRLACGSCEVSILDMNDINVAKRARDLGVRSVPAVAINGQLASCCSGSGIEEQALRWPRQA