Q9Z7M9 AF NFT

Uncharacterized protein CPn_0675/CP_0072/CPj0675/CpB0702

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifl4bvwdhcapvrjhpsi7xnenq4ns3vbpr3bubrrchvcb3nnnc2yde/metadata.json
IPFS of structure file: 
bafybeif7nq35cn2mbshdianfokjlsaxbnbi2bgowzlzxuimld6yqzgnxde/AF-Q9Z7M9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa73BAb1DabE4333A884D03393eAa10c3B4215494
First NFT owner address (bech32): 
genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0
Current NFT ID #520787 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
520787
Accession (UniProt):
Q9Z7M9
Name::
Uncharacterized protein CPn_0675/CP_0072/CPj0675/CpB0702
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 Q9Z7M9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Z7M9|Y675_CHLPN Uncharacterized protein CPn_0675/CP_0072/CPj0675/CpB0702 OS=Chlamydia pneumoniae OX=83558 GN=CPn_0675 PE=3 SV=1 MILDFQFSIGYYLRVLELAIRDGTRILAYDRKRLLLDAWPVNDPLPTNYDTSVSTIRQVIHELFSWSAISYSISSRLLAIIELRLHEEKPQTGWLYRLFFPSKYHIKKAIVDKLCMFKSLILFESKRPVDKIVQAANKVFSKGKSNFSSWEDFTHEVTVSEVQTPLAGEVQRRLAADASLQMIIEALTTLLEGHTAYLPLSLELLNQFIGEKAQPLKTLSEKSYVLLRELIQLFSLSAEDFQTIIMSIISDSLSEVLANSLIGNQPLTFHGKTFVGLWQETALASPEDSKLALGFLAEVLRKVIVEKKLHVSKSDNTTPEEVGNIYSIRDQNPALWDKMITMLLMRWLLDYDRDIGIALRKAAEYYNPHPSFWRQFLRLWQRRP