Q66F84 AF NFT

Fructose-1,6-bisphosphatase class 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih26goqhdzdh25ncj4zlmbf5dv7fpm4jf74mxbishfottm74xjyce/metadata.json
IPFS of structure file: 
bafybeibxlmst6bypjipmmfzkmnsryqeytgkax3ag3mx2kzsggm6jjexdxq/AF-Q66F84-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb651De962807119fA2A2D8C784Ce409aEACd666B
First NFT owner address (bech32): 
genesis1kegaa93gqugelg4zmrrcfnjqnt4v6entjnnp8h
Current NFT ID #123505 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
123505
Accession (UniProt):
Q66F84
Name::
Fructose-1,6-bisphosphatase class 1
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66F84 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66F84|F16PA_YERPS Fructose-1,6-bisphosphatase class 1 OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=fbp PE=3 SV=1 MKTLGEFIVEKQLDFSHATGELTALLSAIKLGAKIIHRDINKAGLVDILGASGVSNIQGEDQMKLDLFANEKLKAALKARGEVAGIASEEEDDIVIFDGGRAENAKYVVLMDPLDGSSNIDVNVSVGTIFSIYRRITPFGTPITEEDFLQPGTKQVAAGYVVYGSSTMLVYTTGYGVHAFTYDPSLGVFCLSHEKVRYPATGCMYSINEGNYIKFPLGVKKYIKYCQEQDEATKRPYTSRYIGSLVADFHRNLLKGGIYIYPSTASHPQGKLRLLYECNPMAFLAEQAGGKATDGVNRILDIVPEKLHQRAPFFVGTKSMVEDAEGFIAKFPDEEAK