Q9ZK62 AF NFT

Signal recognition particle protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig4uisp2tvsmyopj22kkb6ckyyvjkkkmv6eyeofaduxneiwwfrkzq/metadata.json
IPFS of structure file: 
bafybeiad6zft5mhdfzyiaj4qq6vtbwisz2qmpygth62cgtmkxrh6agidsu/AF-Q9ZK62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x995f1a3568169CB9DbdB48430AEeec5E5696A9E4
First NFT owner address (bech32): 
genesis1n9035dtgz6wtnk7mfpps4mhvtetfd20y5l8p09
Current NFT ID #436710 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436710
Accession (UniProt):
Q9ZK62
Name::
Signal recognition particle protein
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 Q9ZK62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9ZK62|SRP54_HELPJ Signal recognition particle protein OS=Helicobacter pylori (strain J99 / ATCC 700824) OX=85963 GN=ffh PE=3 SV=1 MFQALSDGFKNALNKIRFQDDEKALDRALDELKKTLLKNDVHHKVARELLKKVESQTKAGGIGKQQFLDALEKSLLEILSAKGSSGFTFAQTPPTVVLMAGLQGSGKTTTTAKLAHYLKTKNKKVLLCACDLQRLAAVEQLKVLGEQVGVEVFHEENKSVKEIANNALKRAKEAQFDVLIVDSAGRLAIDKELMQELKEVKEVLNPHEVLYVADALSGQDGVKSANTFNEEIGVSGVVLSKFDSDSKGGIALGITYQLGLPLRFIGSGEKIPDLDVFMPERIVGRLMGAGDIISLAEKTASVLNPNEAKDLSKKLKKGQFTFNDFLNQIEKVKKLGSMSSLISMIPGLGNMASALKDTDLESSLEVKKIKAMVNSMTKKERENPEILNGSRRKRIALGSGLEVSEINRIIKRFDQASKMAKRLTNKKGISDLMNLMSQAKNQTPPKMR