Q6G3K0 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic4fwhhduup7nu2gjqcilnkr2zmdhobk5btvoi64z6xixu4piih2a/metadata.json
IPFS of structure file: 
bafybeigitnna6x6xntjggqzgbqra3q7gekg7oaj7xxcvntnmoxjyglcchi/AF-Q6G3K0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF8cD1d8d93E9783063700De244A6e3cf6A195579
First NFT owner address (bech32): 
genesis1lrx3mrvna9urqcmsph3yffhrea4pj4tedrk7yh
Current NFT ID #532201 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532201
Accession (UniProt):
Q6G3K0
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
Bartonella henselae (strain ATCC 49882 / DSM 28221 / Houston 1)

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 Q6G3K0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6G3K0|YIDD_BARHE Putative membrane protein insertion efficiency factor OS=Bartonella henselae (strain ATCC 49882 / DSM 28221 / Houston 1) OX=283166 GN=BH07670 PE=3 SV=1 MFNPYPQKKKRQTRNYTGPWRKTPGRLLGLLLIRFYQITLSGFIGNQCRHLPTCSEYTYEAIARHGLWAGAWMGFFRIIRCGPFGTHGFEPVPTSLGNSYCFYKPWCYWKISTKHNK