Q9Z7J4 AF NFT

Uncharacterized protein CPn_0711/CP_0035/CPj0711/CpB0738

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigebvbyb5cgox3kj4sd22dddcut35atz6wccuspuwyhye7e7u73cy/metadata.json
IPFS of structure file: 
bafybeigwug6fd35wodljc4ydr276tqcnma7q5iu4arfjaffdagtu5kn6f4/AF-Q9Z7J4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF4Ae8661cb075C3a3cDb0e439E3Eef84872a1286
First NFT owner address (bech32): 
genesis17jhgvcwtqawr50xmpepeu0h0sjrj5y5xasv2l5
Current NFT ID #521104 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
521104
Accession (UniProt):
Q9Z7J4
Name::
Uncharacterized protein CPn_0711/CP_0035/CPj0711/CpB0738
Experimental Method:
Predicted structure
Sequence source:
CHLAMYDIA 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 Q9Z7J4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Z7J4|Y711_CHLPN Uncharacterized protein CPn_0711/CP_0035/CPj0711/CpB0738 OS=Chlamydia pneumoniae OX=83558 GN=CPn_0711 PE=3 SV=1 MFNMENTAKEEKNSQPLLDLEQDMQDHDRAQELKASVQDKVHKLHALLREGSDKESFGQQQSLLAGYVALQKVLGRINRKMI