Q1CBY3 AF NFT

Fructose-1,6-bisphosphatase class 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih4livsib4ks43iyeyj2m2lo562hv3l55j67h42egn2u7dztjsdbe/metadata.json
IPFS of structure file: 
bafybeih3vsdy4nz5ver7qlkht5i52wzsagijzlemol2bgr2j2dd3uhezky/AF-Q1CBY3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC568E62d5F08a237227D0b8bd20415100A62a6e2
First NFT owner address (bech32): 
genesis1c45wvt2lpz3rwgnapw9aypq4zq9x9fhzv3wrk8
Current NFT ID #123499 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
123499
Accession (UniProt):
Q1CBY3
Name::
Fructose-1,6-bisphosphatase class 1
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1CBY3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CBY3|F16PA_YERPA Fructose-1,6-bisphosphatase class 1 OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=fbp PE=3 SV=1 MKTLGEFIVEKQLDFSHATGELTALLSAIKLGAKIIHRDINKAGLVDILGASGVSNIQGEDQMKLDLFANEKLKAALKARGEVAGIASEEEDDIVIFDGGRAENAKYVVLMDPLDGSSNIDVNVSVGTIFSIYRRITPFGTPITEEDFLQPGTKQVTAGYVVYGSSTMLVYTTGYGVHAFTYDPSLGVFCLSHEKVRYPATGCMYSINEGNYIKFPLGVKKYIKYCQEQDEATKRPYTSRYIGSLVADFHRNLLKGGIYIYPSTASHPQGKLRLLYECNPMAFLAEQAGGKATDGVNRILDIVPEKLHQRAPFFVGTKSMVEDAEGFIAKFPDEEAK