Q89B28 AF NFT

Signal recognition particle receptor FtsY

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigzxd4rn4k65of72zj46ywp3g4qnbs7vdsw4wx7e5zbds56dlwhfa/metadata.json
IPFS of structure file: 
bafybeiah5fs222ygtrt2rakfqi6fm6pukim7jktc7ya6m7yxuaf6hbpv4q/AF-Q89B28-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3Abe1980007F3787fAfC5f8C1F4951B45508443D
First NFT owner address (bech32): 
genesis182lpnqqq0umc07hut7xp7j23k32ss3panncd5g
Current NFT ID #137770 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
137770
Accession (UniProt):
Q89B28
Name::
Signal recognition particle receptor FtsY
Experimental Method:
Predicted structure
Sequence source:
Buchnera aphidicola subsp. Baizongia pistaciae (strain Bp)

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 Q89B28 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q89B28|FTSY_BUCBP Signal recognition particle receptor FtsY OS=Buchnera aphidicola subsp. Baizongia pistaciae (strain Bp) OX=224915 GN=ftsY PE=3 SV=1 MFKKRVFSWFGFKKNKTKINDLDDHIKKNNQDNLSQKKCNNICSQDSIAKSTKSDCCSENVANSSAVNESHSSSLMKLKLKQHVSHVNNKNSFLLTLTTKLVRTKEAFSIKLKNLFFKKKTYNSLLDDIEEQLLVSDIGVRTTRELVDSLIKVSTQHELKNLNLIIEILKSKMKKILNKVEGPLNINYKNLFVILVVGVNGVGKTTLIGKLAKNYKKKGKSVILAAGDTFRAAAIDQLKLWGEINSVSVITREIGSDPASVVYDAIKIAKLKCIDILIIDTAGRLHNKNNLMEELKKIKRVIHKIDSTISQETMLVLDACIGQNSIKQVKIFHESLNVTGLVITKLDSTAKGGVIFSIAQEFLIPVRYISFGEDFEDIQVFNSNIFVNAILSNNTLK