Q68XJ4 AF NFT

Signal recognition particle protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidf36opcwvdhpsv76jrqm7onp5hsmrenjzidcpxauszrhpafaliyq/metadata.json
IPFS of structure file: 
bafybeiantd73d4pceizo3ss3djig4xdovsm6nrbv3n5esju2rbx2xpozoe/AF-Q68XJ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x155b8f623dc221FbDC853e78Bf3D4a5c5e354ea3
First NFT owner address (bech32): 
genesis1z4dc7c3acgslhhy98eut7022t30r2n4rgqdyfz
Current NFT ID #436757 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
436757
Accession (UniProt):
Q68XJ4
Name::
Signal recognition particle protein
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA TYPHI (STRAIN ATCC VR-144 / WILMINGTON)

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 Q68XJ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q68XJ4|SRP54_RICTY Signal recognition particle protein OS=Rickettsia typhi (strain ATCC VR-144 / Wilmington) OX=257363 GN=ffh PE=3 SV=1 MFKTLTQNLTKIFDRLVNSGILTENQIDTAMRDVRVALLESDVALPVIKGFIAEVKQKALGQEVIKSVSPGQMIIKIIHEEMINLLASSESTTKLNLNSKPPVNLLMVGLQGGGKTTASGKLALLLKNQNKKVLLVSLDTYRPAAQEQLAIIANSVNIDSLPIVQGEQPLDIVKRAISEAKIFAYDVVIYDTAGRIQIDNVMMEEALAIKKILNPTETLLVIDSMTGQDAVVTARSFSDKLEISGLILSRIDGDTKGGAALSVKYLTQKPIKFLSCGEKLTDLEEFDAERLASRILDMGDIISFVKKAASIVDREEAERTAIKLKSGKFDLNDYLKHMRSIKKMGGFGSILSMLPGSGKIIDQIDQSKLDSRIIEHQEAIILSMTLKERKNPDIINASRRKRIAAGAGMTVQKVNILLKQYKQISAVMKKASKMNPQNLFRSGISKLFS