Q9HJ93 AF NFT

Signal recognition particle receptor FtsY

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigydg6xiclhzdsdepwixu3t2x7grssbfmbigfdcvbxhk3cuqlkgfi/metadata.json
IPFS of structure file: 
bafybeicay6smpnovclynuwy6zbzozu7d5nzt3dvucq25zci4qf6bab5xnu/AF-Q9HJ93-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x11C0E4e9487866Ab29267d4E8a0e99C8d557886E
First NFT owner address (bech32): 
genesis1z8qwf62g0pn2k2fx048g5r5eer240zrwnzurjy
Current NFT ID #137802 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
137802
Accession (UniProt):
Q9HJ93
Name::
Signal recognition particle receptor FtsY
Experimental Method:
Predicted structure
Sequence source:
THERMOPLASMA ACIDOPHILUM (STRAIN ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165)

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 Q9HJ93 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HJ93|FTSY_THEAC Signal recognition particle receptor FtsY OS=Thermoplasma acidophilum (strain ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165) OX=273075 GN=ftsY PE=3 SV=1 MFEKLKKKFAEIFHRKKIDPDEVADEIPLKLVEADVSLEAAEDLASLVRNKLKEDTTLDPNEVLSSSILEMMPEYKFDVLNVNKKPFVVLFLGINGTGKTTTIGKFAHYLKRNGKSVVIAAADTFRAGAIEQISLIGREAGTEVIRHDRGSDPSSVAFDAIEHARARNIDYVLIDTAGRMNTNKNLLDEMKKIKRVSKPDLTLLVIDAVSGQDSVNQARMFEENVGYDGVIVTKLDTDARGGSILSIYHDLKKPVLFVCTGQGLDDIMPFDRNWYVRKLIPEPENETA