A0Q5E2 AF NFT

3-dehydroquinate dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibbx3f4opzrjf3bv4557m5p3oxigekopp5ud6q4bz5vjzqxtw745m/metadata.json
IPFS of structure file: 
bafybeie3x52nml4hflevf2uzgegzxdoazhg6mepzvyotxfybonw4l7hswu/AF-A0Q5E2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #27362 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
27362
Accession (UniProt):
A0Q5E2
Name::
3-dehydroquinate dehydratase
Experimental Method:
Predicted structure
Sequence source:
FRANCISELLA TULARENSIS SUBSP. NOVICIDA (STRAIN U112)

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 A0Q5E2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0Q5E2|AROQ_FRATN 3-dehydroquinate dehydratase OS=Francisella tularensis subsp. novicida (strain U112) OX=401614 GN=aroQ PE=3 SV=1 MDVLVINGPNLNLLGTRQPQFYGHKTLADINNDLLKIAKENNINIDFYQSNHEGQIIDKIQQTAAKIIIINPAAFTHTSVAIRDAFLAINKPFIEIHLSNIYNREEFRTKSFLSDIAYGCIFGFGPNGYTLALIEAINYINMKGE