Q9RPX0 AF NFT

High-affinity zinc uptake system protein ZnuA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifxj4gpod3p3hnvwlvppgg66n2to4kibxphswdse24ha4fsidbtii/metadata.json
IPFS of structure file: 
bafybeiewimiehhencxb2ytwhfwdhjyruzxtxfpjorw2szf2x72gvc6o7ym/AF-Q9RPX0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9E40D5Ff2B2C3Aa13a3053E7Ff044C0F696c1e58
First NFT owner address (bech32): 
genesis1neqdtlet9sa2zw3s20nl7pzvpa5kc8jcu0akrm
Current NFT ID #541840 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
541840
Accession (UniProt):
Q9RPX0
Name::
High-affinity zinc uptake system protein ZnuA
Experimental Method:
Predicted structure
Sequence source:
Haemophilus ducreyi (strain 35000HP / ATCC 700724)

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 Q9RPX0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9RPX0|ZNUA_HAEDU High-affinity zinc uptake system protein ZnuA OS=Haemophilus ducreyi (strain 35000HP / ATCC 700724) OX=233412 GN=znuA PE=1 SV=1 MFKKTVLTLAMLGVTTVANADVLTSIKPLGFIANAITDGVTETKVLLPVTASPHDYSLKPSDIEKLKSAQLVVWVGDGLEAFLEKSIDKLPKEKVLRLEDVPGIKMIVDATKKKDHDHHDHDHDHDHDHDHEHIHGHHHDKDWHIWFSPEASQLAAEQIAERLTAQLPEKKAKIAENLAAFKANLADKSNEITQQLQAVKDKGYYTFHDAYGYFERAYGLNSLGSFTINPTIAPGAKTLNAIKENIAAHKAQCLFAEPQFTPKVIDSLSKSTAVKVGQLDPLGAKVKLSKTAYPQFLQAIADEFSQCLTQ