Q9Z9B6 AF NFT

Uncharacterized protein CPn_0065/CP_0709/CPj0065/CpB0066

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifizf5o2veoht3ic2hcm2j4gqtw4kas2qizfn27uein5sj3srg6r4/metadata.json
IPFS of structure file: 
bafybeictfrafk26ko7ntvluvrsqvny4b4da4fpu7aycuti22o2d2zxosma/AF-Q9Z9B6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x72863A6D5587eFC72E846eBb9C85252Bf5d4D642
First NFT owner address (bech32): 
genesis1w2rr5m24slhuwt5yd6aeepf9906af4jzdz2vvf
Current NFT ID #503243 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
503243
Accession (UniProt):
Q9Z9B6
Name::
Uncharacterized protein CPn_0065/CP_0709/CPj0065/CpB0066
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 Q9Z9B6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Z9B6|Y065_CHLPN Uncharacterized protein CPn_0065/CP_0709/CPj0065/CpB0066 OS=Chlamydia pneumoniae OX=83558 GN=CPn_0065 PE=3 SV=2 MTDFPTHFKGPKLNPIKVNPNFFERNPKVARVLQITAVVLGIIALLSGIVLIIGTPLGAPISMILGGCLLASGGALFVGGTIATILQARNSYKKAVNQKKLSEPLMERPELKALDYSLDLKEVWDLHHSVVKHLKKLDLNLSETQREVLNQIKIDDEGPSLGECAAMISENYDACLKMLAYREELLKEQTQYQETRFNQNLTHRNKVLLSILSRITDNISKAGGVFSLKFSTLSSRMSRIHTTTTVILALSAVVSVMVVAALIPGGILALPILLAVAISAGVIVTGLSYLVRQILSNTKRNRQDFYKDFVKNVDIELLNQTVTLQRFLFEMLKGVLKEEEEVSLEGQDWYTQYITNAPIEKRLIEEIRVTYKEIDAQTKKMKTDLEFLENEVRSGRLSVASPSEDPSETPIFTQGKEFAKLRRQTSQNISTIYGPDNENIDPEFSLPWMPKKEEEIDHSLEPVTKLEPGSREELLLVEGVNPTLRELNMRIALLQQQLSSVRKWRHPRGEHYGNVIYSDTELDRIQMLEGAFYNHLREAQEEITQSLGDLVDIQNRILGIIVEGDSDSRTEEEPQE