Q5ZR80 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiamb2ww63r4q4oc2647ijjq3ix2ttr2kk3uev3gjmagsqnrbui4zm/metadata.json
IPFS of structure file: 
bafybeibqxaurk7vcag7rqtulh5w3j34anxxnj5p7dedaxgd2fa5kjgnsme/AF-Q5ZR80-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3e0aC98Dc58EA794394EdeA1992f0D3Ca753d03c
First NFT owner address (bech32): 
genesis18c9vnrw936negw2wm6sejtcd8jn485pumcm8ec
Current NFT ID #532389 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532389
Accession (UniProt):
Q5ZR80
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
LEGIONELLA PNEUMOPHILA SUBSP. PNEUMOPHILA (STRAIN PHILADELPHIA 1 / ATCC 33152 / DSM 7513)

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 Q5ZR80 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5ZR80|YIDD_LEGPH Putative membrane protein insertion efficiency factor OS=Legionella pneumophila subsp. pneumophila (strain Philadelphia 1 / ATCC 33152 / DSM 7513) OX=272624 GN=lpg3003 PE=3 SV=1 MGKISLMLRQIVCLPIKMYQYFISPLITPCCRYYPSCSEYADSAIKHYGVIKGLLMALNRLSRCHPWSKGGYDPLFPNDKN