Q9HU73 AF NFT

Fructose-1,6-bisphosphatase class 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigm56a4xfbnn6maiuskmz2ghgevx6o74wkdbp3fg32tx3yls63i6i/metadata.json
IPFS of structure file: 
bafybeib24rgfijtogpibk7p5oeojnqu5hgbrx725ypbp2q7ywp53gidcl4/AF-Q9HU73-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #123388 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
123388
Accession (UniProt):
Q9HU73
Name::
Fructose-1,6-bisphosphatase class 1
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9HU73 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HU73|F16PA_PSEAE Fructose-1,6-bisphosphatase class 1 OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=fbp PE=3 SV=1 MSRVTLSRYLIEQTRSHNTPADLRFLIEVVARACKEISHAVSKGALGGVLGSMGTENVQGEVQKKLDVMSNEILLEANEWAGNLAGMASEEMDHPYQIPGRYPKGAYLLVFDPLDGSSNIDVNVSVGTIFSVLRCPNEYLNQNDTLREEAFLQPGTTQVAAGYAIYGPQTMLMLTLGNGVKGFTLDRELGSFVLTHDNISVPESTAEFAINMSNQRHWEAPVKRYVEELLAGKEGPLGKNYNMRWIASMVADVHRILTRGGVFMYPRDAREPEKPGKLRLMYEANPMSFIIEQAGGAATNGTQRILDIKPENLHQRVAVFLGSKQEVERITGYHAE