Q9ZL80 AF NFT

Signal recognition particle receptor FtsY

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia54hqlaca2rkv5gqnanu5issx33fpjbrjpjzkrjn27xw7rf3ixxm/metadata.json
IPFS of structure file: 
bafybeibwn4tfutjhwqaiie3d5e3axptro57mr756bqa6juowisk3etcptm/AF-Q9ZL80-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9e5E98E011361C5888c92e2CDb7652E02Bd5C7Ed
First NFT owner address (bech32): 
genesis1ne0f3cq3xcw93zxf9ckdkajjuq4at3ldwq49kv
Current NFT ID #137778 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
137778
Accession (UniProt):
Q9ZL80
Name::
Signal recognition particle receptor FtsY
Experimental Method:
Predicted structure
Sequence source:
HELICOBACTER PYLORI (STRAIN J99 / ATCC 700824)

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 Q9ZL80 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZL80|FTSY_HELPJ Signal recognition particle receptor FtsY OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=ftsY PE=3 SV=1 MFNFFKKIVNKIKGEEVKEKKRESVPKEELEEILIGFDIQYDLIESLLKHLGDLITPKQLEVALLRFVRGESYYDKTRLKTITTKPLVHLIVGVNGAGKTTTIAKLAKLSLKQHKKALLGAGDTFRAAAVKQLQLWGEKLNVQVISAKEGSDPSSLAYNTIESAIAKNIDEVFIDTAGRLHNQTNLKNELSKIAHTCSKVLKDAPFYKFLILDGTQGSSGLTQAKIFHETLALDGVIMTKLDGTSKGGAILSVLYELKLPILYLGMGEKEDDLIAFDEERFIEDLVDAVFVEQ