Q9Z949 AF NFT

Uncharacterized protein CPn_0132/CP_0640/CPj0132/CpB0133

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifbivcb3o7wlufsscorj46nukiudvconwzlawfmcdrt5qre3pgjjq/metadata.json
IPFS of structure file: 
bafybeif32pmlommuk4b6swkyibbwfnekikxsdpnptxbcnpcrszvreuuuta/AF-Q9Z949-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA5374D84395c453698039b71Cc29bC29eAD7b8BD
First NFT owner address (bech32): 
genesis155m5mppet3zndxqrndcuc2du984d0w9ax5sxg9
Current NFT ID #506019 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
506019
Accession (UniProt):
Q9Z949
Name::
Uncharacterized protein CPn_0132/CP_0640/CPj0132/CpB0133
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 Q9Z949 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Z949|Y132_CHLPN Uncharacterized protein CPn_0132/CP_0640/CPj0132/CpB0133 OS=Chlamydia pneumoniae OX=83558 GN=CPn_0132 PE=4 SV=2 MIEFAFVPHTSVTADRIEDRMACRMNKLSTLAITSLCVLISSVCIMIGILCISGTVGTYAFVVGIIFSVLALVACVFFLYFFYFSSEEFKCASSQEFRFLPIPAVVSALRSYEYISQDAINDVIKDTMQLSTLSSLLDPEAFFLEFPYFNSLIVNHSMKEADRLSREAFLILLGEITWKDCETKILPWLKDPNITPDDFWKLLKDHFDLKDFKKRIATWIRKAYPEIRLPKKHCLDKSIYKGCCKFLLLAENDVQYQRLLHKVCYFSGEFPAMVLGLGSEVPMVLGLPKVPKDLTWEMFMENMPVLLQSKREGHWKISLEDVASL