Q9Z9D4 AF NFT

Uncharacterized protein CPn_0047/CP_0727/CPj0047/CpB0048

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic66oonjxxu34qlldt42mixu364a333kivpkk47tchswh56qil3qa/metadata.json
IPFS of structure file: 
bafybeifr3kiroehjo5uwqk7ajk4jjqun5tv3vmkkvoxjv3wr2lieo3dqci/AF-Q9Z9D4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xED4FB567cf5C5AEfdc2B6dE952885bE78054A984
First NFT owner address (bech32): 
genesis1a48m2e70t3dwlhptdh549zzmu7q9f2vyt72qgg
Current NFT ID #503060 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
503060
Accession (UniProt):
Q9Z9D4
Name::
Uncharacterized protein CPn_0047/CP_0727/CPj0047/CpB0048
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 Q9Z9D4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Z9D4|Y047_CHLPN Uncharacterized protein CPn_0047/CP_0727/CPj0047/CpB0048 OS=Chlamydia pneumoniae OX=83558 GN=CPn_0047 PE=4 SV=1 MTIVGFFRFVLEGILTMYHFQKIRMTLTTQGFVLNKSLRKDYELWFVYGSCPESKVKLQTSSHKWL