Q9Z7K0 AF NFT

Uncharacterized protein CPn_0705/CP_0041/CPj0705/CpB0732

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicy5b3r7zw4wag6idxay6y5y4u2lvests4ggzghdqaxdndend7fr4/metadata.json
IPFS of structure file: 
bafybeifha2gmjpno6kfrcjykysnwifvxibymgax2cv2nauotf74huphona/AF-Q9Z7K0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA1740d814B84975811C96baED2801952BAEf63bb
First NFT owner address (bech32): 
genesis1596qmq2tsjt4sywfdwhd9qqe22aw7cam7j4jdy
Current NFT ID #521050 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
521050
Accession (UniProt):
Q9Z7K0
Name::
Uncharacterized protein CPn_0705/CP_0041/CPj0705/CpB0732
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 Q9Z7K0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Z7K0|Y705_CHLPN Uncharacterized protein CPn_0705/CP_0041/CPj0705/CpB0732 OS=Chlamydia pneumoniae OX=83558 GN=CPn_0705 PE=3 SV=1 MELKKTAESLYSAKTDNHTVYQNSPEPRDSRDVKVFSLEGKQTRQEKTTSSKGNTRTESRKFADEEKRVDDEIAEVGSKEEEQESQEFCLAENAFAGMSLIDIAAAGSAEAVVEVAPIAVSSIDTQWIENIILSTVESMVISEINGEQLVELVLDASSSVPEAFVGANLTLVQSGQDLSVKFSSFVDATQMAEAADLVTNNPSQLSSLVSALKGHQLTLKEFSVGNLLVQLPKIEEVQTPLHMIASTIRHREEKDQRDQNQKQKQDDKEQDSYKIEEARL