A7GEL0 AF NFT

3-dehydroquinate dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidqk5v65q5uu26j743db6pap5ngl44jgvc3xmjde7iozjkw33i5wu/metadata.json
IPFS of structure file: 
bafybeiabyszgztnj3z733yuqzpentkxufrlpkm24dfuyonvpd5qmy7nqte/AF-A7GEL0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3298b100681D3A2372Bba3b2f282750dD71629B9
First NFT owner address (bech32): 
genesis1x2vtzqrgr5azxu4m5we09qn4pht3v2de5478nd
Current NFT ID #27335 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
27335
Accession (UniProt):
A7GEL0
Name::
3-dehydroquinate dehydratase
Experimental Method:
Predicted structure
Sequence source:
Clostridium botulinum (strain Langeland / NCTC 10281 / Type F)

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 A7GEL0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7GEL0|AROQ_CLOBL 3-dehydroquinate dehydratase OS=Clostridium botulinum (strain Langeland / NCTC 10281 / Type F) OX=441772 GN=aroQ PE=3 SV=1 MNNILVINGPNLNLLGKREPDIYGNITLENINQKIKLHFKNEDLKIDFFQSNEEGKIIDKIIESEKKYNAIVINPAAYSHYSIAILDAMRSINIPVVEVHLSNIYKREEYRKKSVTAEASLGVISGFGYYGYIMAIEFILNNLVRENNIVVH