Q9Z7Q0 AF NFT

Uncharacterized acyl-CoA thioester hydrolase CPn_0654/CP_0093/CPj0654/CpB0680

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie5tpek4xapiu3r7ppmrxce4me4gncv774p3xhndhgqamqhvyuxjm/metadata.json
IPFS of structure file: 
bafybeiaevurqkuu7l6nfkmxdexwueyoi33m7rhs3hngbje4szzo2o5iitu/AF-Q9Z7Q0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3E987Aa5e233CDa0b5218C798Bb0c3527b9D4A2d
First NFT owner address (bech32): 
genesis186v84f0zx0x6pdfp33uchvxr2fae6j3dfp9kr3
Current NFT ID #520589 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
520589
Accession (UniProt):
Q9Z7Q0
Name::
Uncharacterized acyl-CoA thioester hydrolase CPn_0654/CP_0093/CPj0654/CpB0680
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 Q9Z7Q0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Z7Q0|Y654_CHLPN Uncharacterized acyl-CoA thioester hydrolase CPn_0654/CP_0093/CPj0654/CpB0680 OS=Chlamydia pneumoniae OX=83558 GN=CPn_0654 PE=3 SV=1 MLKKKPVSFSCIDGHIYKIFPNDLNANNTVFGGLLMSLLDRLALVVAERHTESVCVTAFVDALRFYAPAYMGENLICKAAVNRTWRTSLEVGVKVWAENIYKQERRHITSAYFTFVAVNEDNQPIPVHQIVPETPEEKRRYNEADRRRQARLELK