Q92J55 AF NFT

Signal recognition particle protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihqbsb7rstit7jnuk35xbs3omutvcqxyjbm2dia7smmfe5nuo5qle/metadata.json
IPFS of structure file: 
bafybeiakazzmjl4dxgacfghelywbiujdx2amrmc2zmcbuhmpsrw66otire/AF-Q92J55-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC79303F30ed9532DEe75341b45581c1255f881CE
First NFT owner address (bech32): 
genesis1c7fs8ucwm9fjmmn4xsd52kquzf2l3qwwpm3zd9
Current NFT ID #436754 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
436754
Accession (UniProt):
Q92J55
Name::
Signal recognition particle protein
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA CONORII (STRAIN ATCC VR-613 / MALISH 7)

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 Q92J55 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92J55|SRP54_RICCN Signal recognition particle protein OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=ffh PE=3 SV=1 MFKTLTQNLTKIFDKLVSSGILTEAQIDAAMRDIRVALLESDVALPVIKDFIAEVKQKALGQEVIKSVSPGQMIIKIIHEEMINLLASSKSETKLNLNSKPPVNFLMVGLQGSGKTTASSKLALRLRNQNKKVLLVSLDTYRPAAQEQLAILANSVQINSLPIVQGEKPLDIVKRAIAEAKISAYDVVIYDTAGRTQIDKAMMEEALAIKKIVEPTETLLVIDSMTGQDAVVTASSFNEKLAISGLILSRIDGDSKGGAALSVKYITKKPIKFLSSGENLIDLEEFDAERLASRILDMGDIISFVEKAASIVDREEAEKTAAKLKKGKFDLNDYLQQMRSIKKMGGFGSILSMLPGSGKIMDQIDQSKLNSKIIEHQEAIILSMTPKERKNPDIINASRRKRIAVGAGTTVQKVNILLKQYKQISEIMKKVSKMNPKNLLRSGIGKLFS