Q9Z6P3 AF NFT

Protein CPn_1016/CP_0837/CPj1016/CpB1054

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid5tvzr7xsoqkspoemfn3qh3dt4vdqpwr5jl4ptdfw2rqe5krvika/metadata.json
IPFS of structure file: 
bafybeidfiqxjxylpzmwmyo7jqsjcgvgpug35bg4rk2radtwkqhkuyzbenm/AF-Q9Z6P3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE5FC0b4766EbeEdAA6231d28306a4B21e024C6F9
First NFT owner address (bech32): 
genesis1uh7qk3mxa0hd4f3rr55rq6jty8szf3he4jy9x3
Current NFT ID #503675 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
503675
Accession (UniProt):
Q9Z6P3
Name::
Protein CPn_1016/CP_0837/CPj1016/CpB1054
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 Q9Z6P3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Z6P3|Y1016_CHLPN Protein CPn_1016/CP_0837/CPj1016/CpB1054 OS=Chlamydia pneumoniae OX=83558 GN=CPn_1016 PE=3 SV=2 MKKGKLGAIVFGLLFTSSVAGFSKDLTKDNAYQDLNVIEHLISLKYAPLPWKELLFGWDLSQQTQQARLQLVLEEKPTTNYCQKVLSNYVRSLNDYHAGITFYRTESAYIPYVLKLSEDGHVFVVDVQTSQGDIYLGDEILEVDGMGIREAIESLRFGRGSATDYSAAVRSLTSRSAAFGDAVPSGIAMLKLRRPSGLIRSTPVRWRYTPEHIGDFSLVAPLIPEHKPQLPTQSCVLFRSGVNSQSSSSSLFSSYMVPYFWEELRVQNKQRFDSNHHIGSRNGFLPTFGPILWEQDKGPYRSYIFKAKDSQGNPHRIGFLRISSYVWTDLEGLEEDHKDSPWELFGEIIDHLEKETDALIIDQTHNPGGSVFYLYSLLSMLTDHPLDTPKHRMIFTQDEVSSALHWQDLLEDVFTDEQAVAVLGETMEGYCMDMHAVASLQNFSQSVLSSWVSGDINLSKPMPLLGFAQVRPHPKHQYTKPLFMLIDEDDFSCGDLAPAILKDNGRATLIGKPTAGAGGFVFQVTFPNRSGIKGLSLTGSLAVRKDGEFIENLGVAPHIDLGFTSRDLQTSRFTDYVEAVKTIVLTSLSENAKKSEEQTSPQETPEVIRVSYPTTTSAL