Q83BB2 AF NFT

Uncharacterized protein CBU_1600

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid6utdhwdu6no5xiymrcluffcsdp7kvl723qt362y5lfy4rumvwka/metadata.json
IPFS of structure file: 
bafybeid4cm34yazpli4wkcymdq2mnldvsmh4yo2uoqaytpbros3hctstmm/AF-Q83BB2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2CfD32b173ecf9861B5DB5dFF2452f89E7bCADff
First NFT owner address (bech32): 
genesis19n7n9vtnanucvx6akh0ly3f038nmet0ltxw9xu
Current NFT ID #508149 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
508149
Accession (UniProt):
Q83BB2
Name::
Uncharacterized protein CBU_1600
Experimental Method:
Predicted structure
Sequence source:
COXIELLA BURNETII (STRAIN RSA 493 / NINE MILE PHASE I)

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 Q83BB2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q83BB2|Y1600_COXBU Uncharacterized protein CBU_1600 OS=Coxiella burnetii (strain RSA 493 / Nine Mile phase I) OX=227377 GN=CBU_1600 PE=3 SV=1 MKRLITLILVSLAIPPIYAGGAVDTPFLNSGPYVGLHGGVALPSGSDLNAGPVVGAQVGYRMGNVRIEGALSYYSNSLEANSDAKLRMTTLMANGYYDFNFNAPLVPFVGVGVGWVHAWRTNNGVLLNRGPDNNEFAYQGIAGVSFRVSPRVTLGVDYRYLGWTDGNGSQNLIEMSVNYQF